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

The AI OODA Loop Decider skill for Claude

You describe a situation where you must decide fast, a competitor on the move, a crisis, too many options, and Claude walks you through John Boyd's four phases: Observe, Orient, Decide, Act. Not as a fill-in exercise, but with Orient as the centre of gravity, because that is where it goes wrong in practice: the wrong mental model produces fast, wrong decisions. You get a maximum of three options, a first step for today and a measurement point where the loop runs again.

Download the skill See all 100 skills NL 5.0 KB · zip with SKILL.md · MIT licence · no account needed
$ installation, line by lineFIG.00
~/.claude/skills
theseo ~ %
  inflating: ai-ooda-loop-beslisser/SKILL.md
theseo ~ %
  ---
  name: ai-ooda-loop-beslisser
  description: Past John Boyd's OODA Loop (Observe, Orient, Decide, Act) toe op elke si…
theseo ~ %
[ok] skill active · 1,716 words of instruction loaded

the lines above come from the zip on this page · SKILL.md is 10,989 bytes

~/skills/ai-ooda-loop-decider/01-demonstration[run]
Section 01 · The demonstration

Situation in, action plan out

reg. L.001

This is the worked example that appears in the SKILL.md itself, shown here in shortened form. Watch what happens in Observe: the note from sales is explicitly labelled as noise, not as a number. That distinction between hard and soft is a fixed rule of the skill, and it is the reason the Orient phase afterwards is about something.

FIG.01: A full loop through the five outputs[#---] sheet 1/4
~/decisions · claude + ai-ooda-loop-decider
you > our biggest competitor has a better price for our SaaS product, sales reports that three deals are on hold
claude · running the loop: Observe, Orient, Decide, Act, tempo...
[1/5]observe · three deals on hold since Tuesday, the competitor is asking eighteen per cent less, no complaints at all about our own product. sales reports it as noise, not as a number
[2/5]orient · the assumption is that price is the issue, and that is still unconfirmed. the pattern from the previous price war cost two quarters of margin. the mismatch: you are thinking price, the client is thinking certainty
[3/5]decide · option A: call the three clients personally today. option B: send a value case with evidence. option C: do nothing and wait. do not match on price, because that closes off your other options
[4/5]act · call the three clients today and ask what really tips the balance for them. measure within forty eight hours what it produced
[5/5]tempo · while you run this, the competitor runs their own loop. your next observation moment is within two days, not in two weeks
loop notewhy this is not panic football The centre of gravity sat in step 2: the price assumption is not dismissed and not followed, but flagged as unconfirmed. The first action is therefore not a counter offer but a phone call that tests the assumption. The loop closes: what those calls produce is the Observe input of the next cycle, within two days.
[#####] 5/5 done · every action produces new observations, so the loop starts again
4L.01 · phases: Observe, Orient, Decide, Act
5L.02 · fixed parts in every output
7L.03 · things the skill refuses
0L.04 · euros, MIT licence, no account
L.01 to L.04 · properties of the skill file, not results or usage figures.
$ cat 01-wat-de-skill-is.md
DOC.01

What the AI OODA Loop Decider is

The AI OODA Loop Decider is a free skill from our skill library. A skill is an instruction file, SKILL.md, that gives an AI assistant a fixed way of working for one task. No software, no subscription: one text file of 1,752 words that puts Claude in the role of OODA coach. What a skill actually is and how that works technically, you can read in what are Claude skills NL; here it is about what this specific skill does and why.

The problem it solves: paralysis at the moment when movement counts. The competitor lowers their price and you schedule a meeting. Too many options land on the table and nobody cuts through. Or the opposite, just as costly: a decision gets made at speed based on a picture of the situation that has long stopped being true. In both cases it forces the same rhythm. First observe without judgement, then test your own lens, then a maximum of three options, then one concrete step today, and an agreed moment to look again.

It is written for anyone who has to decide under uncertainty while the situation keeps moving: business owners, marketers, sales teams watching a deal tip over, teams that have to contain a crisis. The file itself also states what it is not for: no long term strategy, a strategic thinking framework belongs there, and no root cause analysis, the 5 Whys method is for that. It is part of the skill library NL that we make freely available from the AI and automation service, with no account and no sales email afterwards.

And one thing upfront, because the file itself hammers on it: the loop is a thinking rhythm, not a magic formula. Nowhere does it promise that a faster cycle leads to winning. What it does do is stop you standing still while reality keeps moving, and stop you sprinting hard in the wrong direction because nobody tested the assumptions.

$ cat 02-waar-de-loop-vandaan-komt.md # Boyd, 1927 to 1997
DOC.02

Where the OODA Loop comes from

The OODA Loop comes from Colonel John Boyd of the US Air Force, who as a fighter pilot flying the F-86 Sabre lived through the Korean War and in the 1970s tried to explain why one pilot in an air battle consistently made the right decision faster than another. His answer became a four step cycle: Observe, Orient, Decide, Act. Whoever moves through that cycle fastest and most correctly gains and keeps the initiative. It is not the strongest who wins, but the one who gets through the loop at the highest tempo.

Boyd's most famous tactical idea follows from that: getting inside the opponent's OODA loop. Whoever decides faster than the opponent breaks their picture of the situation and forces them to react to something you have already moved past. You can see that again in the last line of FIG.01: while you run your loop, the competitor runs theirs, and the difference in rhythm decides who reacts to whom.

But the part of Boyd's work that gets left out most often is exactly the part this skill puts at the centre. Boyd himself called Orient the most important part of the loop, because that is where observation turns into understanding. He described that process in his 1976 essay Destruction and Creation: breaking down old mental models to build new ones. Speed without orientation is only getting to the wrong place faster. Tempo only counts once the direction is right.

To be fair, and the file says this itself: Boyd deliberately never published a book about the model. It lives on in essays and briefings, with Patterns of Conflict and The Essence of Winning and Losing as the best known, and was later worked out further by biographers and strategists such as Robert Coram, Chet Richards and Frans Osinga. The popularity of the loop in business literature is greater than the amount of empirical research behind it. Treat it as a tool, not as proof, because that is how it is used here too.

~/skills/ai-ooda-loop-decider/02-the-loop[ok]
Section 02 · The loop

Four phases, one centre of gravity

reg. L.002

The four phases as the skill runs them. Orient is deliberately drawn wider than the rest: that is where your brain filters observation through baggage, experience and assumptions, and that is where the error that poisons every later step is born. The two bars below show the tempo idea: two parties, the same market, a different cycle time.

FIG.02: The cycle, with Orient as the centre of gravity[##--] sheet 2/4
PHASE 1ObserveRaw data without judgement: what happened, what numbers exist, what rumours are circulating. Hard and soft may sit side by side, but never in the same sentence and never with the same weight.
PHASE 2 · CENTRE OF GRAVITYOrientObservation becomes understanding. Which mental model are you using, which assumptions sit underneath it, what would an outsider see, where is the mismatch with reality.
Boyd's five filters: genetic heritage · cultural traditions · previous experience · new information · analysis and synthesis
PHASE 3DecideA hypothesis, not a perfect decision. A maximum of three options, each with tempo, a fall back and the smallest commitment you can still learn from.
PHASE 4ActOne concrete step today, a measurement that proves success or failure, and an agreed moment when the loop runs again.
↩ act produces new observations · the loop never stops
your loopcycle: days
their loopcycle: weeks
# schematic example, not a measurement · Boyd: whoever gets through the loop faster forces the other side to react to something that has already passed
$ less ai-ooda-loop-beslisser/SKILL.md # 1,752 words of instruction
DOC.03

What is actually inside the SKILL.md

A skill is only as good as its instructions, so we just describe them here. The file opens with a frontmatter that determines when Claude picks the skill up: not only for explicit terms like OODA loop, Boyd or decision cycle, but precisely also for sighs of frustration. We do not know what to do. The competitor is doing X, now what. Too many options. Paralysed by doubt. Whoever says something like that while the skill is loaded gets it automatically. The frontmatter also draws a boundary: not for long term strategy and not for root cause analysis, for that the file points to other thinking frameworks.

After that the file instructs, phase by phase, which questions Claude asks. At Observe: what facts are on the table, what has changed with competitors or clients, what measurable data exists, what unconfirmed signals are coming in, what is standing still and what is moving. With the fixed rule to separate hard from soft: a number and a rumour never get the same weight. At Orient, the longest part of the file: which mental model are you applying, which untested assumptions sit underneath it, what would your biggest competitor do with the same data, which pattern do you recognise from earlier situations and does that comparison really hold, what new synthesis emerges if you combine the data differently.

At Decide the file explicitly warns against analysis paralysis, with Boyd's rule of thumb: seventy per cent right now beats a hundred per cent perfect next week. Claude asks which two or three options are realistic, which gives the highest tempo, which keeps options open and which closes them off, what the least bad fall back is and what the smallest possible commitment is that you can still learn from. At Act everything is about closing the loop: the first step today, the measurement that proves success or failure, who needs to be involved and when the loop runs again.

There is also a dedicated section on tempo as a weapon, asking how you shorten the Orient phase without losing quality, what rhythm you keep to, such as a daily check and a weekly pivot, and how you push decision authority lower into the organisation. Boyd called that Auftragstaktik, mission command: hand over the intent, not the instruction. And it lays down a fixed output structure, the five parts you saw in FIG.01: Observe observations in three to five bullets, the Orient analysis, a maximum of three Decide options, the Act plan with a measurement point and a deadline, and a tempo check. Under the principles is also Boyd's order of things: people, ideas, hardware, in that order. Tools always come last.

How an instruction file like that is put together and how to write one yourself is explained separately from this skill in writing SKILL.md NL.

$ diff paniek.txt loop.md
DOC.04

What changes about your own thinking

The use of the skill does not sit in the four words Observe, Orient, Decide and Act, which you probably already knew. It sits in what the fixed structure forces at the moment you least want to use that structure: when there is haste. It is precisely under haste that a wrong model is most costly, and precisely then that Orient gets skipped. It refuses that, even if you explicitly ask for it.

Three things shift in practice. First the language: panic states conclusions, the loop states observations and assumptions. Second the number of options: under pressure you see one, or exactly twenty, the skill forces it down to two or three realistic ones. Third the ending: an ordinary brainstorm ends with a good feeling, a loop ends with a measurement point and a date to look again. In diff form, with lines close to the example in the file:

The second example in the file shows the same shift on a smaller scale. Someone has to choose between two features for their app and does not know which one. Then a short loop follows with the accent on Orient: what assumption do you have about what clients want, what does data say against gut feeling, which option gives the fastest learning moment. And then the sentence that sums up the whole skill: with two features the question is rarely which one is better, but which one you can disprove fastest.

~/skills/ai-ooda-loop-decider/03-refusals[ok]
Section 03 · The limits

What the skill refuses

reg. L.003

The SKILL.md contains a list of seven things the skill never does, and that list matters at least as much as what it does do. Deciding fast invites making things up, exaggerating and pushing through, and precisely there sit the locks. Every rule below is a request you could make, with the response the skill gives according to its own instructions.

FIG.03: refusals.log[###-] sheet 3/4
refusals.log7 fixed rules from the SKILL.md
just estimate how much market share the competitor is grabbing right nowREFUSEDNever make up numbers, market shares, prices or lead times. If a figure is missing, the skill states that it is missing and which observation is needed to fill it in.
if we are faster than them, do we win?REFUSEDNo promise that a faster loop leads to winning. The OODA Loop is a thinking rhythm, not a guarantee of outcome. That is stated literally in the file.
what will the competitor do next month?REFRAMEDNo predictions about the other side. The skill describes what is plausible and which assumption sits underneath it, so you can test that assumption instead of building on it.
give me ten scenarios to pick fromREFUSEDNever more than three options. More choice slows the decision down, and that is exactly what you wanted to avoid. Three options with tempo, fall back and commitment, that is where it stops.
skip the analysis, I am in a hurryREFUSEDThe Orient phase is never skipped. It is precisely under haste that a wrong model is most costly. The skill makes Orient shorter if it must, but never empty.
this is war, anything goes to win that dealREFUSEDA sales situation is not a fight where anything is allowed. Boyd's model describes tempo, not ethics. Misleading clients falls outside this skill, the file says so explicitly.
there is a claim from a client, what do I do legally?REFERRED ONNo legal, medical or financial advice for crises that call for it. The skill then refers you to the professional trained for it.
$ unzip ai-ooda-loop-beslisser-skill-voor-claude.zip -d ~/.claude/skills/
DOC.05

Installing it in Claude Code, Claude.ai or Codex

The zip contains one folder 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 recognises the skill by itself as soon as you describe a decision situation.
  3. Calling it directly also works, with /ai-ooda-loop-beslisser.
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 repository.
  2. Paste the contents of SKILL.md into it, or keep SKILL.md as a separate file next to it and point to it from AGENTS.md.
  3. Codex reads that along at every session.

After that, using it is simple: describe the situation as it is, mess and all. What you know, what you suspect, what has just changed. It sorts out what is hard and what is soft itself, and asks about what is missing. A step by step guide for every environment is in installing Claude skills NL.

$ cat 06-wanneer-wel-en-niet.md
DOC.06

When to use it and when not to

It is at its strongest with fast, repeated decisions under uncertainty: a competitor on the move, a crisis developing by the hour, a launch where signals keep coming in and nobody knows which ones matter. Anywhere reality changes faster than your analysis, the loop rhythm of days instead of weeks is exactly what you need.

The file lists its own limits honestly, and there are five. The loop is a thinking framework, not a procedure with boxes to tick, Boyd never meant it as four compartments. It works poorly for questions with a long feedback loop, such as multi year investments: a strategic framework fits better there. Tempo is not always the winning variable: in heavily regulated environments, with safety critical systems and in legal processes, care matters more than speed. The popularity of the model is greater than the empirical research behind it. And deciding fast raises the chance of mistakes, which is acceptable as long as the mistakes are small and reversible.

That last limit deserves its own sentence, because there is a second skill behind it. For big and irreversible steps you deliberately slow the loop down, the file says. But how do you know if a step is irreversible? There is a separate thinking framework for that, Jeff Bezos's Type 1 and Type 2 framework, and that sits in the Two-Way Door Decider skill NL. The two complement each other exactly: the door check tells you how much care a decision deserves, the loop tells you how to stay sharp under tempo.

And the boundary the frontmatter draws itself: are you looking for the cause of a problem that has already happened, then you are in root cause territory and a 5 Whys analysis makes more sense than a loop. The OODA Loop looks forward to the next move, not back to the source of the last one.

~/skills/ai-ooda-loop-decider/04-upgrade-path[ok]
Section 04 · From skill to employee

Run it yourself, or have it run

reg. L.004

This skill is the free do it yourself version of work we also deliver as a service. It stays complete, with no catches, but be aware of what a skill is: it teaches your AI how to do something, while every new session starts empty. It is not the engine and not the memory. You prompt, you supply the context again every time, you check it. Whoever wants that differently has two next steps: hand over the engine, or sort out the memory.

$ cat from-skill-to-employee.mdthree rungs, same work
upgrade-path.shfree · employee · brain
RUNG 1 · FREE
where you are now
The skill: you are the engine You run the AI OODA Loop Decider yourself in Claude, Codex or Cursor. Costs nothing, works today, and you keep it entirely in your own hands: no trial period, no locked parts. The limit is your own time: the loop only runs when you start it, and the Observe phase is only ever as good as the data you supply. $ claude --skill ai-ooda-loop-decider · €0 · you prompt, you check
RUNG 2 · SERVICE
have it prepared
The Reporting employee: the Observe layer is ready to go Orient, Decide and Act stay human work, because that is where the judgement and the speed Boyd talked about sit. What can be delivered as a service is the first letter: Observe. The same observations from your own data lined up every week, so your loop does not start with searching but with looking. That is the Reporting employee from Mansotti, the company TheSEO trades as, which also builds the other two roles and fits the work around them to size. Control stays with you, because output stays a draft until a person approves. Read what an AI employee is and does. from €950 per month · a person approves, always
RUNG 3 · BRAIN
everything from one source
Jarvis: your loops build on each other The skill teaches the AI, the brain is where the memory lives. If you want all your AI tools working 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 skill that is not a detail but the core of it: a loop without memory starts every Observe phase from zero, while the previous cycle is exactly your best input data. What that delivers in practice, from the plans to your first week, you can read at Jarvis itself. entry plan Brain Start: €9 per month incl. VAT · pay for your brain, not per AI question
# not a marketing trick: rung 1 stays free and complete. The next rungs are for anyone who wants to hand this work over.
~/skills/ai-ooda-loop-decider/05-jarvis[ok]
Section 05 · The brain

What Jarvis actually delivers

reg. L.005

Rung 3 deserves more than a paragraph, because for a decision skill memory is not a luxury but half the work. Boyd said it himself: Orient filters observation through previous experience. A one off chat session has no previous experience. Jarvis does: it remembers what your AI tools need to know, splits up the work and keeps track of what happened. Below you see what that means the moment you start a new loop.

FIG.04: What a new loop gets back from the brain[####] sheet 4/4
jarvis · organisation brain● sync
$jarvis recall "competitor lowers price" # schematic example
[core]price agreement: we do not match on price, we back up value · recorded after the last price move
[core]fixed measurement points for observe: deals on hold, sales response time, complaints about our own product
[task]call round three clients · carried out · outcome stored as observation for the next loop
[decision]option C, do nothing, dropped: waiting costs you the initiative · recorded by a person
[log]previous loop: observe two days, orient with claude, decision by a person, measurement point met
[ok]context loaded · this loop does not start at zero
this is how every assignment moves through the brain: recordedcontext chosendelegatedhuman approvalstored · the full trail is at jarvis/werking NL
context.kept Your next session does not start over Today you run a sharp loop with Claude, and tomorrow a one off chat knows none of it. With Jarvis every session starts with the same projects, core knowledge and earlier decisions, as in FIG.04: recall first, then the new loop.
ai.connected ChatGPT, Claude and Codex, one source Every connected AI works from the same core knowledge and agreements. The price agreement you record in one tool, the other one knows too. You never explain anything three times and there are no three versions of the truth.
tasks.tracked Tasks scheduled, tracked, reported done The Act phase of a loop is a task with a deadline and a measurement point. Jarvis records it, has it picked up by the right agent and reports it done with the result attached. You can see at any moment what is running, what is waiting and what is finished.
everything.logged Everything logged and open to inspection Every step leaves an auditable trail: who asked what, which sources were used, which agent worked on it and who approved. With decisions that trail is worth its weight in gold: you can look back at what your choice was based on.
human.approval Nothing goes out without approval AI prepares, a person decides. Output stays a draft until someone approves it, and only approved knowledge goes back into the brain. For a decision skill that is the only right order: the loop advises, you cut through.
brain.isolated Client brains stay separate If you work for several clients, the knowledge stays strictly separated per client. What you learn for one does not leak into the work for another.
# THE HONEST EVIDENCE · NOT A DEMO

We have been running on this system ourselves for months, and that is the only reason it is on this page. 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 this is not a promise we are describing but the way we work every day.

$ cat pricing.mdpay for your brain, not per AI question
Brain Start €9 /month incl. VAT 1 organisation brain · 1 user · 1 AI employee
Brain Solo €29 /month incl. VAT 1 organisation brain · 1 user · 3 AI employees
Brain Team €99 /month incl. VAT 1 organisation brain · 5 users · 10 AI employees
Brain Business €249 /month incl. VAT 3 organisation brains · 20 users · 50 AI employees

See all four plans at jarvis/prijzen NL. Through the waiting list NL you only pass on your preferred plan, without obligation. That does not create an account, an order or a duty to pay. We discuss business bespoke work first.

~/skills/ai-ooda-loop-decider/06-decision-chain[ok]
Section 06 · The decision chain

The skills around it

reg. L.006

The OODA Loop is one of four decision frameworks in the library, and each answers a different question. These skills from the same stable each take a different piece of deciding.

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

Frequently asked questions

What does the AI OODA Loop Decider skill cost?

Nothing. The skill is free, falls under the MIT licence and you do not need to create an account or leave an email address. You download a 5.0 KB zip containing a folder and a single file, SKILL.md, and that is the complete skill. There is no paid version and no sales email follows afterwards.

Does this skill also 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. Putting the contents of SKILL.md into your AGENTS.md still works too. The instructions are just readable text, so any AI assistant that accepts instruction files can work with it.

Why does Orient get the most weight in the skill?

Because Boyd himself called it the most important part of the loop, and because in practice it is the part most often skipped. In Orient, observation turns into understanding: which mental model are you applying, which assumptions sit underneath it, where is the mismatch with reality. A wrong mental model produces fast, wrong decisions, and that is exactly what the skill tries to prevent.

Does the skill make up numbers if I have no data?

No, that is a hard rule in the file itself. The skill never makes up numbers, market shares, prices or lead times. If a figure is missing, it states that it is missing and which observation is needed to fill it in. It also does not predict what the other side will do: it describes what is plausible and which assumption sits underneath it.

How many options does the skill give in the Decide phase?

A maximum of three, and that is deliberate. More choice slows the decision down, and that is exactly what the skill wants to prevent. For each option you get what you do, what tempo it gives, what the fall back is and what commitment is needed. The decision itself stays yours.

Is the OODA Loop scientifically proven?

The skill is honest about that itself: the popularity of the model in business literature is greater than the amount of empirical research behind it. Boyd deliberately never published a book about it, the model lives on in essays and briefings. Treat the loop as a tool for your own thinking process, not as proof that a faster cycle leads to winning.

When is it better not to use the loop?

For questions with a long feedback loop, such as multi year investments: a strategic framework fits better there. In heavily regulated environments, with safety critical systems and in legal processes, care matters more than speed. And for big, irreversible steps you deliberately slow the loop down. For that last category the Two-Way Door Decider skill is the more logical choice.

$ cat 08-en-nu.md
DOC.08

Observe first, then decide

The first phase of every loop is Observe, and that applies to your visibility too. Many businesses decide on their marketing by gut feeling, without a single hard observation about where they stand. The free SEO scan gives you that observation in a few seconds: hard, measurable and without judgement, exactly as Boyd wanted it. In the guide eight decision models compared NL you can see how this model relates to the others. And if you want to talk through what else AI can do for your business, from single skills to full automation, we simply do that in a conversation.

Section 07 · Next stepreachable 24/7
Book a call NL
$ whoami
Gianluca, founder
Written by GianlucaFounder. Has been building visibility for Dutch businesses since 2017, in Google and in AI answers. More about the institute.