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~/skills/ai-offer-writer[ok] loaded
INS.SKILL · FREE FOR CLAUDE, AND FOR CODEX AND CURSOR TOO

The AI Offer Writer skill for Claude

You paste the rough notes from a client conversation into Claude and you get back a proposal the client can read without explanation and sign without a follow up call. With an opening about the client's problem instead of your company history, three price options where the most expensive one sets the anchor, and a next step with a date on it. Anything the skill does not know for certain it does not fill in but marks as [FILL IN]. That is not a limitation, that is the whole point.

Download the skill ↓ See all skills (in Dutch) 6.3 KB · zip containing SKILL.md · MIT licence · no account needed
$ installation, line by lineFIG.00
~/.claude/skills
theseo ~ %
  inflating: ai-offer-writer/SKILL.md
theseo ~ %
  ---
  name: ai-offer-writer
  description: "Turns rough notes from a client conversation into a complete written of…
theseo ~ %
[ok] skill active · 2,622 words of instruction loaded

the lines above come from the zip on this page · SKILL.md is 14,858 bytes

~/skills/ai-offer-writer/01-demonstration[run]
Section 01 · The demonstration

Notes in, proposal out

reg. O.001

This is the worked example that sits in the SKILL.md itself, shortened here. The notes are messy, and that is exactly the point: the skill does not need tidy input, it needs real input. Watch what happens to the amounts. The user named only one, so only one is filled in.

FIG.01: From conversation notes to a proposal[#----] sheet 1/5
~/proposals · claude + ai-offer-writer
you > here are my notes from the call with Harper, turn them into a proposal
notes.txtpasted from your phone Client: Harper Interiors, 15 staff. Spoke to Rob, the owner. Their website is 9 years old, not mobile, they are not found for fitted kitchens. Rob said literally: all our enquiries come from word of mouth and that is drying up. They want 5 good enquiries a month. My rate: package from 6,500. I have worked for a furniture maker before.
claude · building the proposal along the six steps...
[1/6]acknowledgement · literal quote found: "all our enquiries come from word of mouth and that is drying up", that goes back into the document
[2/6]situation · said and inferred kept apart: the falling enquiry flow is Rob's, the idle capacity is an inference and is named as one
[3/6]result · phrased so it can be checked: five suitable enquiries a month, measurable in a dashboard Rob can open himself
[4/6]approach · cut into three phases, each with a result, a lead time and what is needed from the client
[5/6]investment · three options from high to low, only the supplied amount filled in, two fields left at [FILL IN]
[6/6]next step · one only, with a date, plus notes for the user about assumptions and weak spots
proposal.mdshortened, the full example is in the skill Acknowledgement: you said that almost every enquiry at Harper Interiors now comes in through word of mouth, and that this flow is falling away. You do not want a new brand identity. You want enquiries. Where you will be: five enquiries a month that match the work you want to do, measurable in a dashboard you can open yourself. Investment: option A, full programme: [FILL IN] · option B, site and foundation: 6,500 euros · option C, foundation only: [FILL IN] Next step: let me know before [FILL IN date] which option you choose, and I will send the planning that same week. Notes for you: that capacity will sit idle is my inference, not something Rob said. Check that before you send it, otherwise your whole argument does not hold.
[######] 6/6 done · every [FILL IN] is left empty on purpose: those numbers are yours
6O.01 · steps in the offer logic
10O.02 · fixed blocks in every proposal
8O.03 · things the skill refuses
0O.04 · euros, MIT licence, no account
O.01 to O.04 · properties of the skill file, not results or usage figures.
$ cat 01-what-the-skill-is.md
DOC.01

What the AI Offer Writer is

The AI Offer Writer is a free skill from our own skill library. A skill is an instruction file, SKILL.md, that gives an AI assistant a fixed way of working for one task. Not software you install, not a subscription, not a connection to your bookkeeping: one text file of 2,565 words that tells Claude how a proposal should be put together, which information it has to ask for, in which order the document is built and what it may never make up itself. You download the zip at the top of this page, put it in your Claude environment, and from that moment Claude writes proposals along this logic.

You probably recognise the problem the skill solves straight away. You had a good conversation, the client wants a proposal, and then the shuffling starts. Half a day goes into a document that opens with your company history. The price sits in it bare, with no context, and after you send it there is silence. Or worse: a yes does come, but only on the cheapest option. Those are exactly the points it takes on. It builds the document from the conversation instead of from your company, it puts the price into a build up based on research into how people decide, and it closes with one next step with a date, so you know when silence stops being waiting.

We wrote it for service businesses in the broad sense: freelancers, agencies, construction and installation firms, coaches and consultants. Anybody who has to put something on paper after a conversation that needs a signature under it. It is part of the skill library we make available free from our AI and automation service, with no account and no sales email afterwards.

One thing to know in advance: the skill writes, it does not sell. The quality of the proposal stands or falls with the quality of your conversation and your notes. No structure saves a bad conversation, and the skill says so itself: without an intake, every proposal becomes an empty template.

$ cat 02-why-proposals-stall.md
DOC.02

Why most proposals stall

Anyone who loses a lot of proposals usually looks for the cause in the price. Almost always it sits somewhere else. Inside sits a separate review function for existing proposals, and its checkpoints read like a list of what goes wrong in practice.

The reading order is wrong. Almost every client scans first and reads afterwards, and whoever scans jumps to the price. If the result of the work only appears after the price in the document, the client reads an amount without knowing what stands against it. Every amount then feels too high. That is why the skill always puts the result before the investment: first where the client will be, and only then what that costs.

The document is about the wrong party. Count in your last proposal how often we, us and I appear against you and your. In proposals that do not get signed, that ratio is almost always skewed. This one turns it around: the opening is entirely about the client, with at least one literal quote from the conversation, and the block about you is five lines at most and comes almost at the end.

The promises cannot be checked. We optimise your processes: nobody can verify whether that worked. Your quotes go out within a day: anybody can verify that. It rewrites every promise into the second form, and in the review function it marks every sentence that could have come from any supplier at all.

It does not say what is not included. Most of the argument about extra work arises because the proposal only describes what you do. The block with what falls outside the job is compulsory in this skill: it delivers no proposal without one.

The ending is limp. We hope this proposal meets your needs: that is not a next step, that is a sigh. The document ends with one action, one date, and what happens if the client does nothing. It rejects two next steps, because two requests at once is one too many.

In diff form, with lines from the example in the skill: what goes out and what comes back in its place.

~/skills/ai-offer-writer/02-anatomy[ok]
Section 02 · The anatomy

Ten blocks, one fixed order

reg. O.002

Every proposal the skill delivers has the same ten blocks, in the same order. That order is not arbitrary: every block answers the question the previous one raises. The mono lines underneath say why each block sits where it does.

FIG.02: The anatomy of the proposal[##---] sheet 2/5
BLOCK 01HeadingTitle, client name, date, valid until, your name.valid until forces a moment of decision, but the date has to be real
BLOCK 02AcknowledgementFour to six sentences about what you heard, in the client's words, with a literal quote if there is one. Not a word about yourself.the me versus you balance of the whole document starts here
BLOCK 03Where you are nowThe factual situation and what it costs in time, money, hassle or risk.what the client said and what you infer stay strictly apart
BLOCK 04Where you will beThe result in at most five lines, phrased so the client can check it.this is the anchor the price will later be read against
BLOCK 05How we get thereTwo to four phases, each with a name, a result, a lead time and what you need from the client.phases make a large amount understandable and steerable
BLOCK 06What is not includedA short list of what falls outside the job. This block is never skipped.prevents most of the argument about extra work
BLOCK 07InvestmentThree options, presented from high to low, with one line per option on when it makes sense. Below them the payment terms, the validity and how extra work is handled.the most expensive amount first: the first number colours all the rest
BLOCK 08Why usAt most five lines, using only evidence you supplied. No evidence, no block.a thin evidence block is better than an invented one
BLOCK 09Next stepOne action with a date: what the client does, what you then do, and when you can start.two requests at once is one too many
BLOCK 10Notes for the userOutside the proposal: which assumptions were made, which fields are still open and where the proposal is weak.the skill names its own weak spots before the client does
$ less ai-offer-writer/SKILL.md # 2,565 words of instruction
DOC.03

What the SKILL.md actually says

A skill is only as good as its instructions, so we simply describe them here. The file opens with frontmatter saying when Claude should pick the skill up. Not only on the obvious questions such as write an offer, make a proposal or draw up a quote, but also on complaints: I lose half a day on every quote, I never hear back after sending it, they always jump straight to the last page, I only ever get a yes on the cheapest option. Say something like that to Claude while the skill is loaded and you get it automatically.

Then comes the core: a fixed offer logic of six steps. Acknowledgement, situation, result, approach, investment, next step. While writing, the skill carries out eight fixed actions. It pulls the client's literal words out of your notes, because those words go back into the document. It opens with acknowledgement, with no summary of your company. It describes the situation with a strict separation between what the client said and what you infer from it. It phrases the result as something the client can check.

It cuts the work into two to four phases. It builds the investment into three options, from high to low. It closes with one next step with a date. And every field that needs a number, a name or a reference you did not supply, it marks as [FILL IN].

Before anything is written, the skill runs through a required input checklist: your notes or intake report, what you deliver and what you explicitly do not, your pricing, the name of the client and the contact and whether that person decides, the lead time wanted, the evidence available, the conditions that have to be named and the tone you want. It only asks for what is missing, so you do not get a form but at most two or three targeted questions.

A striking number of rules are about language. Right at the top it forbids itself brochure language and proposal cliches: tailor made, unique approach, we take the worry off your hands, a partner rather than a supplier. It alternates short sentences with long ones, chooses a figure over an adjective and writes results in a form the client can check. And it has a separate review mode: hand it an existing proposal and you get an analysis of the reading order, a count of me against you, a mark on every cliche sentence and every promise that cannot be checked, the missing blocks, and a rewritten version of the three weakest blocks you can paste straight in.

The file closes with a source list of eight titles, from Minto to Rackham. More on those below, because that theory is the reason the structure is what it is.

~/skills/ai-offer-writer/03-price-build-up[ok]
Section 03 · The price build up

Three options, the dearest first

reg. O.003

The investment from the example in FIG.01, as the skill lays it out. The order is the point: option A sits at the front deliberately, even though the amount there has not been filled in. The client reads from left to right, and the first amount they meet sets the measure for everything that follows.

FIG.03: The anchor and the middle option[###--] sheet 3/5
THE ANCHOR · READ FIRST Option A · Full programme [FILL IN] euros Phases 1 to 3 plus six months of support. Makes sense if you want a second channel standing on its own feet within this year.
THE COMPARISON Option B · Site and foundation 6,500 euros Phases 1 and 2. Makes sense if you want the site first and pick up the visibility yourself afterwards. The only amount the user supplied, so the only one filled in.
THE FLOOR Option C · Foundation only [FILL IN] euros Phase 1 only. Makes sense if you want to know what you can rank for before you build. A real option, not a decoy: everything in it can actually be delivered.
the client's reading direction · the first number colours the judgement of every number after it
Why three and not twoA third option that is clearly less attractive than the middle one shifts the choice towards that middle one. That effect is called asymmetric dominance and was described in consumer research from 1982. The skill uses it honestly: every option has to be a real offer.
Why never four or fiveMore choice lowers the chance of a decision. And for a simple, well defined job the skill actually advises one price with no options, because three packages feel like a sales trick there. The structure serves the decision, not the other way round.
$ cat 04-sources-and-theory.md # Minto, Kahneman, Huber, Weiss, Cialdini, Rackham
DOC.04

The theory the skill rests on

Writing proposals is largely craft with no single inventor, but the choices in this skill can be traced back to research and to authors who wrote about it explicitly. The SKILL.md names its sources, and that is deliberate: it lets you read them and decide for yourself whether you agree.

The order comes from Barbara Minto. Her Pyramid Principle, developed at McKinsey and described in 1987, says: start with the conclusion, not with the run up. For a proposal that means the result first, and only then the approach and the price. A client who has to discover on page four what they get has already jumped to the price on page two. If you want to apply that way of thinking more widely than proposals, there is a separate Pyramid Principle Writer skill.

The anchor comes from Tversky and Kahneman. Their 1974 research into decision heuristics showed that the first number somebody sees colours their judgement of every number that follows. That is why the most expensive package sits at the front, and why the proposal names what the problem costs the client before the price of the solution drops.

The third option comes from Huber, Payne and Puto. Their 1982 research described asymmetric dominance: an extra option that is clearly less attractive than one of the other two shifts the choice towards that other one. That effect is used here with an explicit honesty rule attached: every option has to be an offer you can and want to deliver.

The pricing philosophy comes from Weiss and Enns. Value Based Fees and Pricing Creativity turn on the same point: the amount belongs next to the value of the problem solved, not next to your hourly rate. How you work out that value and which amount then goes in the place of [FILL IN] is the territory of the Pricing Strategy Coach skill: those two have been kept apart deliberately.

The evidence block leans on Cialdini, the groundwork on Rackham. Influence from 1984 explains why one concrete, checkable piece of evidence weighs more than five superlatives, and why the skill would rather leave the block out than fill it with air. And Neil Rackham's SPIN Selling from 1988 is about the conversation before the proposal: ask out the cost of the problem first, and only then start on the solution. That conversation has its own skill, the SPIN Selling Conversation skill, and anyone who wants to learn the psychology behind persuasion more broadly can go to the Cialdini Persuasion skill.

Even without installing the skill you can improve your own proposal with these principles: put the result before the price, separate what the client said from what you assume, and dare to write down what is not included.

~/skills/ai-offer-writer/04-refusals[ok]
Section 04 · The limits

What the skill refuses

reg. O.004

The SKILL.md contains a list of eight things the skill never does, and that list matters at least as much as what it does do. A proposal is a promise with your name under it. In a conversation those rules play out like this: every 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.log8 fixed rules from the SKILL.md
put a nice reference in, that reads betterREFUSEDNo invented references, client names or certifications. The Why us block only uses evidence you supply. If there is none, the block falls away or a question comes back: may I put a real result here?
invent a discount so it looks more attractiveREFUSEDNo inventing amounts, rates or discounts. If a number is missing, [FILL IN] appears. The price is yours, the structure around it is the skill's.
add that the offer expires on FridayREFUSEDNo false scarcity or urgency. A validity date may only go in if it is real. Manufactured deadlines are seen through and cost exactly the trust the proposal was meant to build.
just fold the terms and conditions into itREFERRED ONNo legal text. Contracts, terms and conditions and tender documents with formal requirements are work for a lawyer or a tender specialist, and the skill says so itself.
skip that block about what is not includedREFUSEDNo proposal without the What is not included block. That block in particular prevents the argument about extra work that comes months later. It is the only block that never falls away under any condition.
but Rob said himself that capacity would free up?CORRECTEDAn assumption is never presented as a statement by the client. In the example the idle capacity is an inference by the user. The skill puts that in the proposal as an inference, and warns in the notes: check this before you send it.
put two next steps in, then the client can chooseREFUSEDOne next step, with a date. Two requests at once lower the chance that either happens. The skill picks the action closest to a signature and cuts the rest.
$ unzip ai-offer-writer-skill-for-claude.zip -d ~/.claude/skills/
DOC.05

Installing in Claude Code, Claude.ai or Codex

The zip contains one folder with the SKILL.md in 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. You are not downloading a Claude file but a working instruction 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 on an offer or a proposal.
  3. You can also call it directly, with /ai-offer-writer.
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 point to it from AGENTS.md.
  3. Codex reads that along at every session.

After that, using it is simple: paste your conversation notes and ask for a proposal. The rawer the notes, the better, as long as there is real information in them. Whatever is missing, it will ask for itself. Should you be new to skills and want to understand how these files work first, the knowledge base has the wider explanation of working with AI.

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

When to use it and when not

This one is at its strongest on programmes and consultancy work where the scope can still be steered: that is where the full structure with three options comes into its own. For a well defined delivery where the client knows exactly what they want, it falls back to one price with no options. For small amounts where a client signs without consulting anybody, a shortened one page proposal is enough: acknowledgement, result, price and next step.

And if several people sign, it writes a separate paragraph for the financial decision maker and one for the decision maker on substance. For follow up work with existing clients it skips the Why us block and starts with what has changed since the previous job.

There are also situations where you are better off leaving it alone. Legal documents are one of them: a proposal is not a contract, and the skill refuses to write text meant to serve as terms and conditions. Public tenders with formal requirements are a second: there the specification sets the structure, not sales logic. And the most important limit is the intake itself. If you have not spoken to the client yet, the skill has nothing to work with and the result becomes an empty template with nice headings. First the conversation, then the proposal. To get your conversation reports in better shape, start with the Intake Summary skill.

One more honest limit: the skill improves your proposal, not your offer. If the price really is too high for the market, or the offer does not match what the client needs, a better structure changes nothing about that. What it does do is make sure a good offer no longer falls over on a bad document.

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

Run it yourself or have it run for you

reg. O.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. What you get is not the engine and not the memory. You prompt, you supply the context again every time, you check. Want that differently? Then there are 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 AI Offer Writer yourself in Claude, Codex or Cursor. It costs nothing, it works today, and you keep it entirely in your own hands: no trial period, no locked off parts. The limit is your own time: it only happens when you prompt. $ claude --skill ai-offer-writer · €0 · you prompt, you check
STEP 2 · SERVICE
have it prepared
The AI employee: it is ready without you prompting Exactly this work, but as a service: the Quote employee prepares enquiries and proposals without you having to sit down at Claude for it. The control stays with you, because output stays a draft until a person approves it. We deliver this through Mansotti, the company TheSEO trades as, which alongside the Quote employee also builds a Sales employee (prospect research) and a Reporting employee (weekly and monthly reports). Read what an AI employee is and does. 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. If 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. Jarvis selects context, delegates work and stores only what has been approved: client knowledge stays isolated and every step leaves a checkable trail. This skill gets better from it too, because you then no longer have to supply your rates and your way of working per conversation. What that delivers in practice, from the plans to your first week, is at Jarvis itself. entry plan Brain Start: €9 per month incl. Dutch 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-offer-writer/06-jarvis[ok]
Section 06 · The brain

What Jarvis actually delivers

reg. O.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. 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 "proposal-agreements" # schematic example
[core]payment in two instalments, fifty per cent at the start · tone towards clients: informal but businesslike
[core]present price options from high to low, every option a real offer
[task]proposal Harper Interiors · draft ready · waiting for human approval
[decision]evidence block without supplied evidence falls away: recorded after review, approved by a person
[log]previous session: claude wrote the draft, a person adjusted the phasing, result 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 (in Dutch)
context.kept Your next session does not start over Today you explain how your proposals work, 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 work.
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.
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. At any moment you see what is running, what is waiting and what is finished.
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. Not because it is required, but because otherwise you cannot check what happened in your name.
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, 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. 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
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

Amounts are in euros and include Dutch VAT. All plans are listed at jarvis/prijzen (in Dutch). You choose your own plan. Paying online opens once the last checks are finished; until then we set your account up on request. For business arrangements and bespoke work there is a conversation.

~/skills/ai-offer-writer/07-sales-chain[ok]
Section 07 · The sales chain

The skills around it

reg. O.007

A proposal never stands alone: a conversation comes before it and a negotiation comes after it. These skills from the same library each take on a different part of that chain.

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

Frequently asked questions

What does the AI Offer Writer skill cost?

Nothing. The skill is free, falls under the MIT licence and you do not have to create an account or leave an email address. You download a 6.3 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 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 themselves are plain readable text, so any AI assistant that accepts instruction files can handle it.

Does the skill invent prices or references if I do not supply them?

No, and that is a hard rule in the file itself. Every place that needs an amount, a name or a reference you did not supply is marked by the skill as [FILL IN]. It invents no discounts, no lead times, no certifications and no results. If evidence for the Why us block is missing, that block is left out instead of filled with something vague.

Can the skill also assess an existing proposal?

Yes. Hand it an existing proposal and you get a review in six steps: the reading order, the ratio between sentences about you and sentences about the client, the cliches, the promises the client cannot check, the blocks that are missing, and a rewritten version of the three weakest blocks you can paste straight in.

Which documents is the skill not suitable for?

For legal contracts, terms and conditions and tender documents with formal requirements: for those you need a lawyer or a tender specialist, and the skill says so itself. It is not meant for the moment before the intake either. Without content from a real conversation, every proposal becomes an empty template, however good the structure is.

Does every proposal have to have three price options?

No. The skill uses three options for programmes and consultancy work where the scope can still be steered. For a well defined job where the client knows exactly what they want, the skill actually advises a single price, because three options feel like a sales trick there. It never uses four or five options, because more choice lowers the chance of a decision.

What does the skill need from me to be able to work?

Your notes from the conversation or the intake report, what you deliver and what you explicitly do not, your pricing or your range, the name of the client and the contact, the lead time wanted, the evidence you want to use and the conditions that have to be named. If something is missing, the skill only asks for what is really needed and does not fill in the rest itself.

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

First enquiries, then proposals

A better proposal raises the chance of a signature, but there has to be somebody to send it to. If too few enquiries come in, the real work sits before this document: being found by the people looking for you. The free SEO scan shows in seconds where your site stands. And if you want to talk about what AI can do for your business beyond this, from separate skills to full automation, we simply do that in a conversation.

Section 08 · Next stepreachable 24/7
Book a call ↗
$ whoami
Gianluca, founder of TheSEO
Written by GianlucaFounder of TheSEO. Has been building visibility for businesses since 2017, in Google and in AI answers. More about the institute.