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~/skills/ai-johari-window[ok] loaded
INS.SKILL · FREE FOR CLAUDE, ALSO FOR CODEX AND CURSOR

The Johari Window skill for Claude

You describe your own behaviour, you paste in the feedback you have actually received, and you get the four windows back with the source next to every line. What you said yourself is marked self, what somebody else said is marked heard with a name and a moment, and what the skill infers itself is marked assumption. If you have not supplied any feedback, the Blind Spot stays empty and you get the questions to fill it yourself instead. No score, no type, no guess about what others think of you.

Download the skill ↓ View all 100 skills 5.8 KB · zip with SKILL.md · MIT licence · no account needed
$ installation, line by lineFIG.00
~/.claude/skills
theseo ~ %
  inflating: ai-johari-window/SKILL.md
theseo ~ %
  ---
  name: ai-johari-window
  description: 'Build or review a Johari Window for a specific relationship or team context usin…
theseo ~ %
[ok] skill active · 2,446 words of instruction loaded

the lines above come from the zip on this page · SKILL.md is 14,577 bytes

~/skills/ai-johari-window/01-demonstration[run]
Section 01 · The demonstration

One remark in, four windows out

reg. J.001

This is the worked example from the SKILL.md itself, shown here in shortened form. Notice what does not happen: no second remark gets invented to fill the Blind Spot, and no judgement appears about what kind of person you are. One colleague who said something stays one colleague who said something.

FIG.01: From self-image plus feedback to four windows[#----] sheet 1/5
~/self-insight · claude + ai-johari-window
you > make a johari window, I am leading the team meeting next week
input.txtthe input from the example I am analytical and decisive. A colleague said, in these exact words: you come across as dominant in meetings. Apart from that I have had little feedback. Next week I am leading the team meeting for the first time.
claude · setting the context, separating sources, filling the windows...
[1/7]context · which relationship does this window apply to? answer: the direct team, the trigger is next week's team meeting
[2/7]self-image · "analytical" and "decisive" are traits, not behaviour; converted into what you do and when
[3/7]feedback · one quote, one source, taken over literally including who said it
[4/7]open arena · filled from your own description, every line marked self
[5/7]blind spot · one signal from one source; deliberately kept thin, because one opinion is one opinion
[6/7]hidden and unknown · nothing supplied, so not filled in but turned into a question
[7/7]closing · three feedback questions, a next step with a date, and the limit of the report
window.mdshortened, the full example is in the skill Open Arena: you are the first in meetings to ask for figures before giving an opinion [self] · you cut through when a conversation stalls [self] Blind Spot: "you come across as dominant in meetings", said by a colleague [heard, 1 source] · this may be connected to the moment you cut through [assumption, not yet checked] Hidden Area: not supplied. Question: what do you know about your own part in this that your team does not, for example that you find those meetings nerve-racking yourself Unknown Area: not yet in view. This window shrinks through a new situation, and leading the team meeting is exactly one Next step: on Thursday after the meeting you ask the first feedback question to the colleague who made the remark, and to one other team member. On Friday you put the two answers side by side Limit of this report: the Blind Spot rests on one remark from one person. This is a starting point for conversations, not a picture of who you are
[######] 7/7 done · nothing filled in without a source, and the empty window stayed empty
4J.01 · windows, in a fixed order
7J.02 · fixed actions per report
9J.03 · things the skill refuses
0J.04 · euros, MIT licence, no account
J.01 to J.04 · properties of the skill file, not results or usage figures.
$ cat 01-what-the-skill-is.md
DOC.01

What the Johari Window skill is

The AI Johari Window is a free skill from our skill library, which now counts 100 skills. A skill is an instruction file, SKILL.md, that gives an AI assistant a fixed way of working for one task.

No software to install, no subscription, no login: one text file of 2,446 words that tells Claude how to fill the four windows of the Johari Window, which source belongs with each line, what it needs to know before it starts, and what it must never do under any circumstances. You download the zip at the top of this page, drop it into your Claude environment, and from that moment Claude works according to this structure. What a skill actually is and how that file format works, you can read in what Claude skills are NL.

The problem the skill solves shows up in almost every filled in Johari Window you come across online. Somebody fills in four boxes with words like committed, perfectionist and sometimes too direct, and afterwards nobody can say where those words came from. Did a colleague say that, is it a self-image, or did the person filling it in make it up because the box would otherwise stay empty. This goes wrong especially with the Blind Spot, because that is by definition the window you cannot see yourself. Anyone who fills it in anyway is inventing how others see them. The skill inverts that: every line gets a marker, and without feedback from somebody else that window simply stays empty.

That also contains the second fixed choice in the file: one window per relationship. The model is not a photo of you as a person but of one specific relationship. That is why the skill starts by asking which relationship or group you are filling it in for, and the file gives a reason for that which needs no explanation: your manager sees something different than your brother in law. Fill it in without context, and according to the skill the result is a horoscope.

It is useful for anyone with something concrete ahead of them. A feedback conversation or performance review you want to prepare for. A new team where you still have to find out how you come across. A 360 degree round where the separate answers now sit in a document without anyone seeing a pattern in them. Or a collaboration that runs stiffly while nobody can name exactly why. It belongs to the skill library we make available for free through the service AI and automation, without an account and without a sales email afterwards.

One thing is stated immediately in the file, and we take that over here literally: this is not a psychological assessment, not a personality test and not a performance appraisal. In cases of mental health problems, trauma, bullying, harassment or a workplace conflict, the skill stops, names what it sees and refers you to a confidential adviser, mediator, GP or occupational health physician. That is not a small print line at the back, it stands at the front among the cases in which the skill must not start.

$ cat 02-why-it-goes-wrong.md
DOC.02

Why filled in windows usually say nothing

There is also a separate assessment function built in, for existing windows and for feedback rounds, and its checkpoints read like a list of what goes wrong in practice. They are recognisable one by one, and they explain why an exercise that looks so simple on paper so often delivers nothing.

Lines appear with no source. According to the file, this is the biggest problem in almost every filled in window. A line with no origin cannot be checked, cannot be asked about and cannot be refuted. It stands there as fact while nobody knows who wrote it down. The skill solves that with three markers, further down in FIG.03, and with one hard rule: lines without a source do not exist.

Labels appear instead of behaviour. Dominant, chaotic, committed, driven: those are judgements about a person, not descriptions of something that happened. You cannot do anything with them, because you do not know which moment is meant. That is why it asks about your self-image in behaviour, and in the example converts analytical into something checkable: in meetings you ask for figures first before forming an opinion. If somebody did literally say such a label, it comes between quotation marks with the source next to it, exactly as it was said.

One remark becomes a pattern. Somebody hears once that they talk too fast and writes in the window that they talk too fast. The file counts differently: once is a signal, not a pattern. When ordering a feedback round the skill therefore notes, per point, how many people mentioned it, and sets points that only come up once to one side.

The window becomes a score. People want to know how big their Open Arena is, preferably in percentages. That is not possible, because the model has no unit of measurement. It therefore refuses percentages, just as it refuses window ratios in numbers and typings, and it is not allowed to claim that the Johari Window is a validated measuring instrument either. It is a conversation model from 1955.

No action comes out of it. Four filled boxes and then nothing. For each window it therefore gives one action that fits the movement of that window, it closes with three feedback questions you can ask tomorrow, and a next step comes with a date plus a moment to look back. Without that block, the report is not finished according to the skill.

In diff form, with the difference the assessment function flags in almost every window it is given: what goes out and what comes back in its place.

~/skills/ai-johari-window/02-the-window[ok]
Section 02 · The window

Two axes, four areas

reg. J.002

The model sets two axes against each other: what you know about yourself versus what you do not know about yourself, and what others know about you versus what others do not know about you. That produces four windows. The mono line under each area says what the skill does in that area, and which area it deliberately leaves empty. At the bottom are the two movements that shift the lines, because that is the only purpose of the model.

FIG.02: The four windows and the two movements[##---] sheet 2/5
johari-window.mdLuft and Ingham, 1955
▸ others know it▸ others do not know it
▾ you know it▾ you do not know it
WINDOW 01 Open Arena What you know and others see too. This is where the collaboration happens. The skill fills this area from your own description, converted into behaviour instead of traits. action for this window: use it
WINDOW 02 · WAITING FOR A SOURCE Blind Spot What others see and you do not. You cannot fill in this window yourself; it only exists if there is feedback. Without supplied feedback the skill leaves it empty and delivers questions instead. action for this window: ask for feedback
WINDOW 03 Hidden Area What you know and do not share. Sometimes sensible, sometimes a brake. The skill also asks how much room there is in this context to share, because not every workplace is a safe place. action for this window: share
WINDOW 04 Unknown Area What nobody knows yet, not even you. This window shrinks through new situations, not through thinking about it. Leading a meeting for the first time is exactly one of those. action for this window: try it out
MOVEMENT 01 →Asking for feedback makes the Blind Spot smaller. Every question you ask and every answer you get moves something from the top right area into the Open Arena. This is the movement the skill supplies your questions for.
MOVEMENT 02 ↓Sharing something yourself makes the Hidden Area smaller. Both movements enlarge the Open Arena, and that is the only purpose of the model: more workable space between people. More openness is not automatically better in this, and a large Hidden Area is not a fault.
$ less ai-johari-window/SKILL.md # 2,446 words of instruction
DOC.03

What is really in the SKILL.md

A skill is only as good as its instructions, so we simply describe them here. The file opens with a frontmatter that states when Claude should pick the skill up.

Not just on the obvious terms such as johari window, blind spots, self-insight or preparing a feedback conversation, but also on sentences people actually use: I never get honest feedback, I think I am being clear but nobody else thinks so, my manager says something different from my colleagues, new team how should I position myself, everyone thinks I am strict and I do not see it myself, I keep too much to myself, I do not dare ask what they think of me. Anyone who says something like that to Claude while the skill is loaded gets it automatically. The same frontmatter also lists the cases in which the skill should specifically not start, and below that is the licence: MIT, version 1.0.0.

After that comes the core: seven fixed actions. First it asks which relationship or group the window is being filled in for. It asks about the self-image in behaviour and not in traits. It asks for the feedback received as literally as possible, including who said it and when, and marks paraphrases as paraphrase. In every window it separates three kinds of lines and marks them. It leaves the Blind Spot empty if no feedback from others has been supplied, and delivers questions instead. For each window it gives one action that fits the movement of that window. And it closes with three feedback questions you can ask tomorrow, a next step with a date, and a moment to look back.

Before the windows are filled in, the skill runs through a mandatory input checklist of six points: which relationship or group the window applies to, the self-description in behaviour, the feedback that actually exists with its source, what you deliberately do not share and why not, the trigger, and how much room there is in this context to share. That last point is sharper than it looks, because the file adds a sentence rarely seen in this kind of model: not every workplace is a safe place. If something that is not crucial is missing, the skill carries on and makes its assumption visible in the report.

The output has a fixed structure of six blocks. First a frame of two or three lines: which relationship the window applies to, what the trigger is, which sources were used and how many people gave feedback, because one opinion is one opinion.

Then the four windows in fixed order, each with short lines and a source marker. Then two or three sentences about the relationship between the windows, in descriptive language, with no diagnosis or advice about who you should be. Then three feedback questions, concrete and answerable, aimed at behaviour in a situation: not how do I come across, but what did I do on Monday in the meeting that made you stop talking. Then the next step. And finally a block that never lapses: the limit of this report, which states what could not be filled in and why.

A separate chapter deals with language. Clear British English, with the reader addressed as you throughout. No dashes in running text. Short sentences alternate with long ones. Describe behaviour, not character: you interrupt is allowed, you are dominant is not, unless somebody literally said it that way. And no therapist language or jargon without explanation, because words such as mirroring, projection and congruent mean nothing to most people. That is exactly why the output does not sound like an assessment report.

There is also a second mode built in. Hand it a filled in Johari Window, a feedback round or a collection of loose remarks, and the skill assesses it on five points: the source separation per line, behaviour versus label with a rewrite attached, the source count per point from the Blind Spot, the action focus per window, and finally a rewritten version with eight to twelve replacement feedback questions. If you want to learn to set up this kind of instruction file yourself, the method is in writing a SKILL.md NL.

~/skills/ai-johari-window/03-sources[ok]
Section 03 · The source marking

Every line carries its origin

reg. J.003

This is the part that sets this skill apart from an ordinary fill in exercise. The output has three markers, self, heard and assumption, and they are not there for decoration: they determine what you are allowed to do with a line. Below that are the two cases that are not markers but do determine what goes into the window: what stays empty, and how the skill counts. What you see below is the example from the skill, split out by origin.

FIG.03: sources.log[###--] sheet 3/5
sources.logthree markers, from the example in the SKILL.md
[self]What you said yourself. "You are the first in meetings to ask for figures before giving an opinion." Comes from your own description, converted from trait into behaviour. You may work with this, but it is not proof of how others experience it.1 source · you
[heard]What somebody else literally said. "You come across as dominant in meetings", said by a colleague. The quote stays exactly as it was said, including who said it and when. A paraphrase is marked as a paraphrase, not as a quote.1 source · colleague
[assumption]What the skill infers itself. "This may be connected to the moment you cut through, not to what you say." This is a thought from the skill, not from you and not from your colleague, and it is added with the note that it has not yet been checked.0 sources · to be inferred
[empty]What is not there stays empty. In the example, the Hidden Area was set to not supplied, with a question behind it instead of a fill in. The same applies to the Blind Spot as soon as there is no feedback. An empty window is information, not a mistake.0 sources
[count]How many sources mentioned it. When ordering a feedback round, the skill counts per point how many people mentioned it and sets points with a single mention to one side. Once is a signal, not a pattern, and that difference determines whether you can act on it.counts per point
# the framing rule from the skill: one person giving feedback is too few for a reliable Blind Spot, so that window then deliberately stays thin
$ cat 04-sources-and-theory.md # Luft, Ingham, Argyris, Scott, Rosenberg
DOC.04

The theory the skill rests on

The Johari Window was created in 1955 by Joseph Luft and Harrington Ingham, and presented at the Western Training Laboratory in Group Development in Los Angeles. The name is a contraction of their first names, Joe and Harry. Luft later worked the model out in Group Processes: An Introduction to Group Dynamics from 1963 and in Of Human Interaction from 1969. The file says no more than that about it, and that is deliberate: a lot gets embellished online about where this model comes from, and the skill sticks to what can be checked.

The ladder of inference explains why feedback so often lands as an attack. The thinking model by Chris Argyris, made more widely known through The Fifth Discipline by Peter Senge from 1990, describes how a judgement grows out of one observation in a few steps. Somebody sees you cut a conversation short, infers from that that you have no interest, and ends up saying you are dominant. The observation and the judgement are then already four rungs apart. Anyone who knows that asks different feedback questions: not how do I come across, but what exactly did I do at that moment. The same way of thinking is in the Ladder of Inference Coach skill.

Radical Candor is about the quality of the feedback you gather. Kim Scott's book from 2017 is in the source list because the Johari Window only helps you further if the feedback you get is honest and specific. If you only get pleasantries back, your Blind Spot stays exactly as big as before. The Radical Candor Coach skill NL takes on that side of it.

Nonviolent Communication supplies the phrasing. Marshall Rosenberg described in 1999 how you name behaviour without sticking a label on it. That exact writing rule is what the skill imposes on itself: you interrupt is allowed, you are dominant is not. For conversations where that distinction makes the difference, there is a separate Nonviolent Communication Coach skill.

A 360 degree round is the organisational form of the same idea. Multiple sources that together make the Blind Spot visible. The skill can order that kind of round, but it does not replace it: it sorts the answers by behaviour, counts the mentions and sets the one off points aside.

And then the three warnings the file itself gives about using the model, because they go against its own product. The window is not a personality test and delivers no score. The window cannot be established once and for all, because it looks different per relationship and per context. And a large Hidden Area is not automatically wrong, because not everything belongs at work. Even without installing the skill, those three rules alone let you set up your own feedback round better: ask about behaviour in a situation, note who said what, and count before you draw conclusions.

~/skills/ai-johari-window/04-refusals[ok]
Section 04 · The limits

What the skill refuses

reg. J.004

The SKILL.md contains a list of nine things the skill never does, and for a model about self-image and feedback that list is at least as important as what it does do. A wrongly filled in window spreads, after all: it travels into a conversation, it gets quoted, and nobody remembers where it came from any more. Those rules play out like this: each line is a request you might make, with the response the skill gives according to its own instructions.

FIG.04: refusals.log[####-] sheet 4/5
refusals.log9 fixed rules from the SKILL.md
just fill in my blind spot, I have no feedback but take a guessREFUSEDNo Blind Spot without feedback from others. A guess in that window is, according to the file, a fabrication about how others see somebody. You get the questions to fill the window yourself instead, and according to the skill those are the questions that do the real work.
add that three colleagues said this, that reads strongerREFUSEDNo invented quotes, names, numbers of people giving feedback or conversations. What has not been supplied does not go into the report. The number of sources is exactly the measure you later use to decide whether something is a pattern, so there is nothing to inflate there.
what type am I according to this window?REFUSEDNo personality diagnosis, type or psychological judgement. The skill describes the relationship between the windows in plain language and leaves it there. Who you are does not fit in four boxes, and the file does not let the skill suggest that either.
give my open arena a percentage so I can track itREFUSEDNo scores, percentages or window ratios in numbers. The model has no unit of measurement, so any number would be invented precision. If you want to see progress, you do that by asking the same feedback question again later.
make a johari window about my colleague, then I will know how he is put togetherREFUSEDNo windows about somebody who is not taking part. The model is for self-insight, not for a file on a colleague. Anyone who uses it that way anyway is making a judgement with no right of reply.
my manager has been putting me down in front of the group for months, help me fill in this windowREFERREDNot carrying on in cases of distress, bullying, harassment or a workplace conflict. The skill names what it sees and refers you to a confidential adviser, mediator, GP or occupational health physician. A self-insight model is the wrong tool there, and the window exercise stops.
just advise me to put everything on the table with the teamCORRECTEDNot advising you to share everything. More openness is not always better. The skill first asks how much room there is in this context to share, because not every workplace is a safe place, and a large Hidden Area is not automatically wrong.
add that this is a scientifically validated testREFUSEDNo claim that the Johari Window is a validated measuring instrument. The file calls it what it is: a conversation model from 1955, not a test. The skill holds onto that difference, even if you ask it to say the opposite.
leave out the feedback questions, I just want the four boxesCORRECTEDNo closing without feedback questions and without a next step with a date. Four filled boxes change nothing. The three questions, the step with a date and the look back moment belong to the output, just like the block about the limit of the report.
$ unzip ai-johari-window-skill-for-claude.zip -d ~/.claude/skills/
DOC.05

Installing in Claude Code, Claude.ai or Codex

The zip contains one folder, ai-johari-window, with the SKILL.md inside it. Installing is a matter of putting the file in the right place, and that place differs per environment. SKILL.md has been an open standard since December 2025, so the same skill also works in Codex, Cursor and Gemini CLI. So you are not downloading a Claude file but a working instruction that any modern AI assistant can read.

CLAUDE CODE
  1. Unzip it into ~/.claude/skills/ (or .claude/skills/ in your project).
  2. Claude then picks the skill up by itself as soon as you start talking about blind spots, feedback or self-insight.
  3. You can also call it directly, with /ai-johari-window.
CLAUDE.AI
  1. Go to Customize and then Skills.
  2. Upload the zip there as a skill.
  3. Or paste the contents of SKILL.md into the project instructions of a Project.
CODEX
  1. Open AGENTS.md in your repo.
  2. Paste the contents of SKILL.md into it, or put SKILL.md next to it as a separate file and refer to it from AGENTS.md.
  3. Codex reads that along at every session.

After that, using it is simple: say which relationship or group the window applies to and what the trigger is, paste in your self-description and the feedback you have, as literally as possible and with the source attached. Whatever is missing, it asks about itself, one thing at a time. If you only have a stack of loose answers from a feedback round, just paste them in as they are: the second mode sorts them for you. If you get stuck anywhere installing it, the full step by step plan per environment is in installing Claude skills NL, and the broader explanation of working with AI is in the knowledge base.

$ cat 06-when-to-use-it-and-when-not.md
DOC.06

When you use it, and when you do not

This skill is at its strongest when there is a concrete trigger and there is feedback you want to do something with. On top of that there are a few variants in which the approach shifts.

Always fill in one window per relationship, so separately for your team, your manager and your clients, because those windows really differ. For a team as a whole there is a team version: what does the team know about itself and what do outsiders see that the team does not, where you explicitly ask for sources outside the team. For a 360 degree round you use it to order loose answers, sort them by behaviour and count them. And without anyone giving feedback you only get the questions, which according to the skill is not half a result but the real work.

For a performance review or appraisal a separate rule applies: use the window as preparation, not as a report. A judgement from your employer does not belong in a self-insight model. That distinction is easy to forget if both conversations fall in the same week, and it is exactly the point where this model goes wrong in organisations.

There are also situations where you are better off leaving it alone, and the file is brief about that. Not as a substitute for a psychological assessment, a personality test or a performance appraisal. Not for mental health problems, trauma or conflicts that call for a confidential adviser, mediator or occupational health physician. And not to map out somebody else who is not taking part in the conversation.

One more honest limit: the skill does not gather feedback. It orders what exists and formulates the questions with which you can gather the rest, but asking those questions remains human work, and the answer only comes once the other person feels safe enough to give it. If you then want to have a conversation about what you do with that feedback, the GROW Coach connects to that with four phases and an appointment with a date. If the underlying question is more about direction than self-image, the Ikigai Coach is more logical, and if it is about how a team develops, the Tuckman Team Stages Coach fits better.

~/skills/ai-johari-window/05-upgrade-path[ok]
Section 05 · From skill to employee

Run it yourself or have it run for you

reg. J.005

This skill is the free do it yourself version of work we also deliver as a service. This one stays complete and without catches, but understand what a skill is: it teaches your AI how to do something, while every new session starts empty. It is not the engine and it is not the memory. You prompt, you supply your previous windows and last month's answers again every time, you check. Anyone who wants that differently has two next steps: hand over the engine, or sort out the memory.

$ cat from-skill-to-employee.mdthree steps, the same work
upgrade-path.shfree · employee · brain
STEP 1 · FREE
where you are now
The skill: you are the engine You run the Johari Window skill yourself in Claude, Codex or Cursor. Costs nothing, works today, and you keep it entirely in your own hands: no trial period, no locked off parts. The limit is your own time: the window only comes about when you ask for it, and you have to supply the feedback you got last month again yourself. $ claude · then /ai-johari-window inside the session · €0 · you prompt, you check
STEP 2 · SERVICE
have it prepared
The AI employee: it is ready without you prompting You have the conversation, that is not something you hand over. The work around it is: preparing a feedback round, ordering the answers that come in, the look back moment that shifts every month, and the question you told yourself you would ask again. That is what an AI employee sets up ready every day, with human final control as a fixed part: output stays a draft until a person approves it. We deliver that through Mansotti, the company of which we are the trading name, which today builds three employees: the Quote employee, the Sales employee and the Reporting employee. For self-insight there is no separate employee, so this becomes a role built to measure, and we only set that up if the process is repeatable and checkable. from €950 per month · a person approves, always
STEP 3 · BRAIN
everything from one source
Jarvis: all your AIs work from the same company knowledge The skill teaches the AI, the brain is where the memory lives. Do you want all your AIs to work from the same company knowledge: that is Jarvis, the organisation brain. It connects ChatGPT, Claude, Codex and your people to the same projects, core knowledge and decisions, so your next AI session does not start over. For this model that is the difference between four separate snapshots and a line: which feedback you got in March, from whom, and what you started doing differently afterwards, is still there. What that delivers in practice, from the plans to your first week, is at Jarvis itself. entry plan Brain Start: €9 per month incl. VAT · pay for your brain, not per AI question
# no marketing trick: step 1 stays free and complete. The next steps are there for anyone who wants to hand this work over.
~/skills/ai-johari-window/06-jarvis[ok]
Section 06 · The brain

What Jarvis actually delivers

reg. J.006

Step 3 deserves more than a paragraph, because this is the difference between a clever chat and a system you can build on. Jarvis is the organisation brain: it remembers what your AIs need to know, divides the work and keeps track of what happened. With feedback that stands out even more, because feedback with no history is just a loose remark. Who said what last quarter, and whether it was already said back then too, is exactly the kind of knowledge that evaporates in a chat window. You notice it first at the start of a new session.

FIG.05: What a session gets back from the brain[#####] sheet 5/5
jarvis · organisation brain● sync
$jarvis recall "feedback-rounds" # schematic example
[core]feedback is kept per source, never summarised into "the team thinks"
[core]a point only counts as a pattern from two independent sources · one off points kept separate
[task]feedback questions for the team meeting set up · waiting for human approval
[decision]the blind spot stays empty as long as there is no source: recorded after review
[log]previous session: three answers ordered by behaviour, a person adjusted the phrasing, stored
[ok]context loaded · this session does not start empty
this is how every assignment moves through the brain: recorded → context chosen → delegated → human approval → stored · the full trail is at jarvis/werking
context.kept Your next session does not start over Today you say what feedback you got and from whom, and tomorrow a loose chat knows nothing about it. With Jarvis every session starts with the same projects, core knowledge and earlier decisions, as in FIG.05: recall first, then the window.
ai.connected ChatGPT, Claude and Codex, one source Every connected AI works from the same core knowledge and agreements. What you record and approve in one tool, the other one uses as well. You explain nothing three times and three separate truths never appear side by side.
tasks.tracked Tasks planned, tracked, reported done An assignment is recorded with a goal and a deadline, picked up by the right agent and reported done with the result attached. Exactly what a feedback question with a date needs so it does not sit waiting until the next meeting.
everything.logged Everything logged and open to inspection Every step leaves a checkable trail: who asked what, which sources were used, which agent worked on it and who approved. That is the same discipline as the source marking in this model, but applied to the work itself.
human.approval Nothing goes out without approval AI prepares, a person decides. Output stays a draft until somebody approves it, and only approved knowledge goes back into the brain. That line holds everywhere in the system, including work an agent prepared entirely on its own.
brain.isolated Client brain isolated If you work for several clients or guide several teams, the knowledge stays strictly separated per brain. What you learn with one does not leak into the work for another. With feedback about people, that is not a luxury but a condition.
# THE HONEST EVIDENCE · NOT A DEMO

We have been running on this system ourselves for months. Every agent session, every task and every decision is logged in it and can be read back. A new session therefore does not start blank: it first fetches the recorded decisions, the running projects and the latest changes, and carries on where the previous one stopped. So we are not describing a promise but the way we work every day.

$ cat prices.mdpay for your brain, not per AI question
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~/skills/ai-johari-window/07-related-skills[ok]
Section 07 · The conversation map

The skills around it

reg. J.007

The Johari Window orders what has been said about you. These skills from the same library take on the pieces around it: gathering better feedback, the conversation afterwards, and the picture in which you place yourself.

$ claude # seven questions, seven answers
DOC.07 · FAQ

Frequently asked questions

What does the Johari Window skill cost?

Nothing. The skill is free, the file itself states the MIT licence, and you do not have to create an account or leave an email address. You download a 5.8 KB zip containing one folder and a single file, SKILL.md, and that is the complete skill. There is no paid version and no sales email follows.

Does this skill work in Codex, Cursor or Gemini CLI?

Yes. SKILL.md has been an open standard since December 2025, so the same file also works in Codex, Cursor, Gemini CLI and other tools that follow the standard. In Codex you unzip it into .agents/skills/ in your project, or into ~/.agents/skills/ for all your projects; Codex has supported SKILL.md directly since the open standard of December 2025. Pasting the contents of SKILL.md into your AGENTS.md still works too. The instructions are just plain readable text, so any AI assistant that accepts instruction files can handle it.

Can I fill in the window without feedback from others?

You then get three of the four windows. The Blind Spot deliberately stays empty, because that window only exists if somebody else has said something about you. Filling in a guess would be a fabrication about how others see you, and that is on the file's list of things the skill never does. Instead of filling it in, it delivers questions with which you can fill that window yourself, and according to the skill those questions are the real work.

Why is there a source next to every line?

Because a window without sources cannot be checked. The skill marks every line with self for what you said yourself, with heard plus the source for what somebody else said, and with assumption for what the skill infers itself. Lines without a source do not exist in the output. When assessing a filled in window, the file calls that missing source separation the biggest problem in almost every window people supply.

Do I get a score or a personality type from this model?

No, and the skill explicitly refuses that too. The Johari Window has no unit of measurement, so no percentages, no window ratios in numbers and no typing come out of it. The file also forbids the skill to claim that the window is a validated measuring instrument. It is a conversation model from 1955, not a test, and the result is a set of questions plus a step, not a score.

Can I use this to order a 360 degree feedback round?

Yes, that is one of the variants the file names. You supply the loose answers and the skill sorts them by behaviour, counts how often something recurs and from how many sources, and sets points that were only mentioned once to one side. Once is a signal, not a pattern. So what you get is not a summarised judgement but an ordered overview in which you see for yourself where the sources meet.

When should I specifically not use this skill?

Not as a substitute for a psychological assessment, a personality test or a performance appraisal. And not for mental health problems, trauma or conflicts that call for a confidential adviser, mediator or occupational health physician. In cases of signs of distress, bullying, harassment or a workplace conflict, the skill stops and names what it sees. Filling in a window about a colleague who is not taking part in the conversation is also out: the model is for self-insight, not for a file on somebody else.

$ cat 08-now-what.md
DOC.08

First the question, then the answer

A filled in window is only worth something once you use it afterwards to ask a question of somebody who can answer that question honestly. That is the hardest step, and there is no tool that does it for you.

What is possible is ordering the round around it: setting the question up, bundling the answers and not letting the look back moment slip. Do that for a whole team, and that is work an AI employee is for. If you want your people to have this kind of conversation better themselves, with or without AI alongside them, that is the AI training.

Section 08 · Next stepreachable 24/7
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Gianluca, founder
Written by GianlucaFounder. Has been building visibility for Dutch businesses since 2017, in Google and in AI answers. More about the institute.