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INS.SKILL · FREE FOR CLAUDE, ALSO FOR CODEX AND CURSOR

The AI Antifragile Thinker skill for Claude

You give Claude a plan, business model or big decision, and you get back a scan built on Nassim Taleb's Antifragile framework. Every part is classified as fragile, robust or antifragile, the hidden single points of failure move to the top, and you get concrete actions: first what has to go (via negativa), then how you split your resources (the barbell). No predictions, no score from 1 to 10, no false reassurance. Just the asymmetry you did not see this morning.

Download the skill View all skills NL 7.1 KB · zip with SKILL.md · MIT licence · no account needed
$ installation, line by lineFIG.00
~/.claude/skills
theseo ~ %
  inflating: ai-antifragiel-denker/SKILL.md
theseo ~ %
  ---
  name: ai-antifragiel-denker
  description: Past Nassim Taleb's Antifragile framework toe op elk plan,…
theseo ~ %
[ok] skill active · 2,535 words of instruction loaded

the lines above come from the zip on this page · SKILL.md is 16,315 bytes

~/skills/ai-antifragile-thinking/01-demonstration[run]
Section 01 · The demonstration

Plan in, scan out

reg. A.001

This is the worked example that sits in the SKILL.md itself, shortened here. A consultant with a growth plan that sounds logical on paper: scale up, build a team, rent an office. This thinker does not check whether the plan is ambitious enough, but what happens if a shock hits while the plan is only half done.

FIG.01: From growth plan to antifragile scan[#----] sheet 1/5
~/plans · claude + ai-antifragile-thinking
you > stress test my growth plan, i want it to withstand shocks
plan.txtthe input from the example in the SKILL.md I am an SEO consultant. 80% of my revenue comes from 2 big clients. I want to scale up by building a team, hiring 4 people, renting an office in Amsterdam, and growing towards €600k in revenue in 12 months.
claude · building the scan on the fixed structure...
[1/8]what you have · the plan reflected back in two sentences, without flattery: the assumption is that growth equals resilience, and often the reverse is true
[2/8]triad · every core part classified with the shape of its payoff: concave, linear or convex
[3/8]hidden fragility · the real problem is not too little revenue but too few clients, and the plan quadruples the commitments before that gets solved
[4/8]hidden antifragility · SEO knowledge is convex to AI chaos, provided it is visible: every Google update means panic among small businesses and therefore demand
[5/8]via negativa · what has to go: the office, three of the four hires, the €600k target and the assumption that growth means safety
[6/8]barbell and optionality · keep the safe side lean with a buffer, publish weekly on the risk side, plus three options with a capped downside
[7/8]the one sentence · the most important asymmetry plus what has to happen this week
[8/8]lindy check · optional: what leans on something that has already worked for twenty years, and what is an untested hypothesis
scan.mdshortened, the full example is in the skill Triad: client base (2 clients, 80%): FRAGILE, concave · cost structure after 4 hires plus an office: EXTREMELY FRAGILE · skill profile: ROBUST · personal brand: absent, an unused ANTIFRAGILE asset Via negativa: cut the office, cut three of the four hires, replace the €600k target with: at least 10 clients within 12 months, none of them above 20% of revenue Barbell: safe side (90%): stay lean, one hire, a buffer of six months of fixed costs · risk side (10%): publish weekly on AI search, costs fixed, upside uncapped The one sentence: your biggest risk is not too little revenue but too few clients, and this plan raises your fixed costs before it lowers that risk: cut the office this week and put those months into client three through six.
[########] 8/8 done · no summary underneath, no encouragement: the last sentence is the asymmetry
3A.01 · categories in the Triad
8A.02 · core concepts in the file
7A.03 · things the skill never does
0A.04 · euros, MIT licence, no account
A.01 to A.04 · properties of the skill file, not results or usage figures.
$ cat 01-wat-de-skill-is.md
DOC.01

What the AI Antifragile Thinker is

The AI Antifragile Thinker is a free skill from our own library, which now counts 100 free skills. A skill is an instruction file, SKILL.md, that gives an AI assistant a fixed way of working for one task: here you can read exactly how that works NL. No software, no subscription, no link to your bookkeeping: one text file of 2,481 words that tells Claude how to examine a plan, business model, portfolio or decision using Nassim Taleb's Antifragile framework. You download the zip at the top of this page, put it in your Claude environment, and from that moment every scan follows the same structure.

The problem this skill tackles is invisibility. Most plans look fine as long as the world behaves the way the spreadsheet assumes. The fragility sits in what is not written down: the client who is 70 per cent of revenue, the supplier with no alternative, the fixed costs that keep running if revenue drops by thirty per cent. You usually only see those weak spots after the first shock, and by then it is too late to do anything about them. This file pulls them out beforehand, and at the same time looks for the other side: the hidden options with a small downside and a large upside that stay unused in almost every plan.

This skill is written for entrepreneurs and professionals with real decisions to make: a growth plan, an investment, a pivot, a career move, an income structure. The frontmatter states explicitly who it is especially meant for: anyone who takes too much revenue from one client, depends on one channel or platform, carries large fixed costs or draws their entire income from a single source. It is part of the skill library NL that we make available for free through the AI and automation service, with no account and no sales email afterwards.

One thing up front: the skill is not an oracle and does not try to be. It does not predict shocks and nowhere promises that your plan will become invulnerable. What it does is make the shape of your risk visible, so that you choose which fragility you accept and which you cut away.

$ cat 02-waarom-plannen-breken.md
DOC.02

Why good plans still break

Anyone who makes a plan almost always calculates with the expected scenario plus a bit of margin. The problem: the events that really break plans do not sit inside that margin. Taleb calls them Black Swans: high-impact events that look predictable in hindsight and are impossible to predict beforehand from existing models. He draws a hard conclusion from that himself, stated literally in the file: plan for the existence of Black Swans, not for specific predictions.

The first blind spot is concentration. Revenue that leans mostly on one or two clients feels like success, but it has a concave payoff: it can go a little better and a lot worse. In the example from the file that is the core of it: eighty per cent of revenue from two clients means that one cancellation costs forty per cent of your income. The file calls such points single points of failure, and they sit at the top of the scan: identify them, remove them or duplicate them.

The second blind spot is the assumption that has to hold. Every plan contains assumptions that are not flagged as assumptions. That a team of four will sell itself. That the market keeps behaving the way it does this quarter. So it asks explicitly: which assumptions have to HOLD for this plan not to collapse, and which implicit insurance was never bought?

The third blind spot is the missed upside. Antifragile thinking is not only defence. It looks just as hard for what actually becomes more valuable in chaos: the knowledge that grows scarcer with every market shift, the small experiment with a capped cost and an uncapped return. Anyone who only hedges risk becomes, at best, robust. The difference sits in the payoff, and here is how that difference sounds in plain language:

~/skills/ai-antifragile-thinking/02-triad[ok]
Section 02 · The core framework

The Triad: fragile, robust, antifragile

reg. A.002

The heart of the skill is the Triad from Antifragile. Every entity falls into one of three categories, and the distinction lies in what volatility does to it. The examples below come straight from the SKILL.md. Look at the third column: antifragile is not a synonym for strong, it means disorder actually gives you something.

FIG.02: The Triad and the shape of the payoff[##---] sheet 2/5
GETS WEAKER FROM SHOCKS Fragile payoff: concave · downside > upside Damaged or destroyed by volatility, stress and errors. The hit costs more than the lucky break ever delivers. revenue that leans on one client · a highly leveraged portfolio · a career in a shrinking niche
STAYS THE SAME UNDER SHOCKS Robust payoff: flat · withstands, does not benefit Withstands shocks without damage, but does not get better from them either. Fine as a foundation, not a growth engine. a boulder · a broadly spread portfolio with no asymmetric bets · a freelancer with six months of savings
GETS STRONGER FROM SHOCKS Antifragile payoff: convex · upside > downside Becomes stronger, better or worth more from volatility, stress and errors. The disorder is not a threat but fuel. a muscle that grows from training · a writer who becomes more popular through controversy · a company with low fixed costs and optionality
# classify per part and per type of shock, not per company: the same department can be fragile for revenue and antifragile for knowledge building
$ less ai-antifragiel-denker/SKILL.md # 2,481 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 states when Claude should pick up the skill. Not only for terms such as antifragile, Taleb, Black Swan or barbell strategy, but also for everyday complaints: what if the market crashes, my revenue sits too much on one client, I depend on one channel, how do I get stronger from volatility. And it states just as clearly when the skill is nót meant for the job: not for pre-mortems and not for pure risk analyses, there are other skills for that.

Then the file defines the persona: a thinker trained on the work of Taleb, from Fooled by Randomness in 2001 to Skin in the Game in 2018. Sharp, no sales talk, not pessimistic but realistic about volatility. Then come the Triad and eight core concepts that the skill applies consistently: Black Swan, convexity and concavity, the barbell strategy, via negativa, optionality, skin in the game, the Lindy effect and the single point of failure.

The core is the fixed delivery structure: eight parts in a fixed order, of which the last is optional. First what you have, in two to three sentences without flattery. Then the Triad classification per core part, each time with the shape of the payoff attached. Then the most important work: the hidden fragility, followed by the hidden antifragility. After that the actions, in a deliberate order: first via negativa (three to five things that have to go), then only afterwards the barbell with optionality. Part seven is the one sentence: the most important asymmetry plus what has to happen this week. And the Lindy check closes it off: what in the plan leans on something that has already existed for twenty years, and what is new and untested.

It is striking how many rules are about tone. No flattery, no consultancy speak, no jargon without explanation. Be direct about the downside and do not soften it. Never end on a note of success, but on the one sentence. And the file contains a separate limits section in which the skill puts its own framework in perspective: antifragility is a direction and not a ruler, the 90 to 10 split is a rule of thumb and not a law, and the Lindy effect works the other way round for people, companies and machines. Want to learn to build this kind of instruction file yourself? The full explanation is in writing a SKILL.md NL.

~/skills/ai-antifragile-thinking/03-barbell[ok]
Section 03 · The action side

The barbell: avoid the middle

reg. A.003

After the classification come the actions, and the barbell is the best known of them. The idea: combine extremely safe with small and extremely convex, and avoid everything in between. The example below comes from the SKILL.md, where the consultant turns his growth plan into a 90 to 10 split.

FIG.03: The barbell split from the example[###--] sheet 3/5
SAFE SIDE 80 to 90% Extremely safe. In the example: stay lean, one hire for delivery, no office, and a buffer of six months of fixed costs. The downside is capped and there is no month in which you are forced to say yes to a bad client.
THE MIDDLE · AVOID 0% Medium risk. Feels sensible, rarely is: according to the file medium risk is usually hidden tail risk. The office plus four hires from the example sits exactly here.
RISK SIDE · CONVEX 10 to 20% Asymmetric upside. In the example: publishing weekly about what AI search is doing to the visibility of small businesses. The downside is that nobody reads it. The upside is that one piece brings in a year of inbound.
mostly on the safe side, nothing in the middle, a small convex slice · the 90 to 10 split is a rule of thumb from Taleb's work, not a law
Optionality: buying options, not obligationsAlongside the barbell the skill recommends cheap options with large upside: pilots, small experiments, new markets. In the example there are three, each with a downside you can calculate in advance and an upside you cannot. That is exactly what you are looking for.
Via negativa always goes firstBefore anything is added, something has to go: the skill first delivers three to five cutting actions, each with the fragility it removes. Become antifragile by taking away, not by adding. And with the honest limit from the file attached: cutting everything until nothing moves any more is simply standing still.
$ cat 04-bronnen-en-theorie.md # Taleb, Mandelbrot, Wildavsky
DOC.04

The theory the skill rests on

At the bottom of the SKILL.md sits a source list of eight titles, and that is deliberate: so you can read them yourself and decide whether you agree. The backbone is the work of Nassim Nicholas Taleb. Fooled by Randomness from 2001 on the role of chance, The Black Swan from 2007 on the events models do not see, and above all Antifragile from 2012, which is where the Triad, via negativa, the barbell strategy, optionality and the Lindy effect come from. Skin in the Game from 2018 supplies the final core concept: only trust advisers who carry the consequences of their own advice.

Around that sit three sources that lay the foundation. Mandelbrot's The (Mis)Behavior of Markets from 2004 describes the fat tails that Black Swan thinking rests on: extreme outcomes occur far more often than the normal distribution promises. The essay The Black Swan of Cairo by Taleb and Blyth from 2011 shows that suppressing volatility actually increases fragility: whoever smooths away every small shock is saving up for a big one. And Searching for Safety by Wildavsky from 1988 sets anticipation against resilience as two different safety strategies: trying to predict every hit, or making sure you can take hits.

It is useful to see what this skill is and is nót. It is not a risk analysis that puts probabilities and consequences into a matrix, and not a pre-mortem that lets one specific plan fail. For the first there is the Second Order Thinker skill, which attacks your plan as a red team, with opponents and chains of consequence. For the second there is the Pre-Mortem Analyst skill NL. The Antifragile Thinker asks a different question: not what can go wrong, but what shape your payoff has if sómething goes wrong, whatever that is.

Even without installing the skill you can use these principles to improve your plan: count how much of your revenue leans on one client, look for the assumption that hás to hold, and ask yourself for every investment whether the payoff is concave or convex.

~/skills/ai-antifragile-thinking/04-refusals[ok]
Section 04 · The limits

What the skill refuses

reg. A.004

The SKILL.md lists seven fixed rules under the heading "What you never do", and that list matters at least as much as what the skill does do. Anyone giving advice about risk should not be inventing risks of their own. In conversation those rules play out like this: every rule 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.log7 fixed rules from the SKILL.md
just fill in a margin for me, i don't know it off the top of my headREFUSEDNo inventing figures. If an amount, a margin, a term or a percentage is missing, the skill writes [FILL IN] and asks for it. The classification comes from the skill, the numbers come from you.
ok, but when will the market crash then?REFUSEDNo predicting shocks. The skill does not say when the market turns. It says which position survives and which does not. Anyone asking for predictions gets the Black Swan lesson back: antifragile positioning is the solution, not a better prediction.
so if i do this my business can never go under again?CORRECTEDNo guarantees that a plan can never go under again. Antifragile means benefiting from disorder, not being invulnerable. The skill makes the shape of your risk visible; insurance against everything does not exist and is not promised either.
which shares or structures fit that barbell?REFERRED ONNo investment advice, tax advice or legal advice. The skill explains the principles, but concrete instruments and structures are work for an adviser who is qualified for that, and it says so itself.
my clients will stay anyway, i just know thatCORRECTEDAn assumption from the user is never passed on as a fact. What you said and what the skill infers from it stay strictly separate, and a belief without evidence is marked as an assumption in the scan.
just take all the risk out of my planREFUSEDNot pretending every risk has to go. Some fragility is the price of something worth having. The skill names that choice explicitly and does not make it for you on the quiet.
great, do three more rounds of analysis just to be sureREFUSEDNever more than one pass unless asked for. One sharp scan, then stop. No twenty-page report, no repeating moves: the last sentence you read is the one sentence with the asymmetry.
$ unzip ai-antifragiel-denker-skill-voor-claude.zip -d ~/.claude/skills/
DOC.05

Installing in Claude Code, Claude.ai or Codex

The zip contains one folder, ai-antifragile-thinking, 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 bring up a plan or a risk.
  3. You can also call it directly, with /ai-antifragiel-denker.
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 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: describe your plan or your situation in plain language and ask for a scan. The more concrete the amounts and ratios, the sharper the result; the skill asks itself for whatever is missing. If you get stuck anywhere while installing, every step is described in more detail in installing Claude skills NL, and the broader explanation of working with AI is in the knowledge base.

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

When to use it, and when not

You get the most out of it for decisions where the structure can still be changed: a growth plan that has not been signed yet, a business model that leans too much on one client, a portfolio or income structure you want to revisit, a big assumption before you make it irreversible. A career or life decision fits too, because the Triad works on anything with a payoff. For small input the skill scales down with it: not all eight parts are forced if there is no material for them.

There are also situations where you are better off leaving it aside, and the file names them itself. If there is already a concrete plan and you want to know why it will have failed in a year, take the Pre-Mortem Analyst NL. If you want a full attack on your plan, with opponents, their motives and the chains of consequence of your actions, the Second Order Thinker is the right tool. And if it is not about your plan but about yourself, about how you stay standing under setbacks, you are better off with the Stoic Coach NL: the same awareness that the world is unpredictable, but aimed at what is in your own power.

And the most honest limit comes from the file's own limits section: antifragility is a direction, not a ruler. There is no score, no index and no benchmark, because convexity is easy to recognise in hindsight and hard to see in advance. What you get is a classification per part and per type of shock, with the reasoning attached, so that you can make the judgement call. It does not make your plan invulnerable. It never promises that either. It makes sure you know whére it is vulnerable and what that vulnerability earns or costs you.

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

Run it yourself, or have it run for you

reg. A.005

This skill is the free do-it-yourself version of thinking work we also deliver as a service. It stays complete and without a catch, but be aware of 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 your figures and context again every time, you check the result. Anyone who wants it differently has two next steps: hand off the engine, or sort out the memory.

$ cat from-skill-to-employee.mdthree steps, same work
upgrade-path.shfree · employee · brain
STEP 1 · FREE
where you are now
The skill: you are the engine You run the AI Antifragile Thinker yourself in Claude, Codex or Cursor. Costs nothing, works today, and you keep it fully in your own hands: no trial period, no locked-off parts. The limit is your own time: the scan only happens when you ask for it, and you have to supply the figures yourself every time. $ claude --skill ai-antifragile-thinking · €0 · you prompt, you check
STEP 2 · SERVICE
only if you keep coming back
The AI employee: usually not the next step here None of our roles fit here, and we would rather say that than sell it to you anyway. The three roles we set up ready-made are the Quote Employee (sorting incoming requests and preparing draft quotes), the Sales Employee (prospect research and outreach drafts) and the Reporting Employee (summaries and weekly and monthly reports from your own data). What this skill delivers, sorting a plan into fragile, robust or antifragile, fits none of those three. What can work is a role built to measure through Mansotti, the business that trades as TheSEO, but only if plans worth that kind of scan come past every month. If this work stays a single session a year for you, skip step 2: the gain here sits more in remembering which fragilities you already found, and that is step 3. What an AI employee actually does is on that page. no standard role for this work · step 3 is the more obvious fit here
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. This exact skill benefits from that: a Triad scan is only as good as the figures and agreements you supply, and you do not want to type those in again every session. Jarvis, the organisation brain, connects ChatGPT, Claude, Codex and your people to the same projects, core knowledge and decisions, so your next AI session does not start over. 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
# not a sales trick: step 1 stays free and complete. The next steps are for anyone who wants to hand this work off.
~/skills/ai-antifragile-thinking/06-jarvis[ok]
Section 06 · The brain

What Jarvis actually delivers

reg. A.006

Step 3 deserves more than a paragraph, because this is the difference between a smart 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 "concentration risk" # schematic example
[core]agreement: no client above 20 per cent of revenue · buffer: six months of fixed costs set aside
[core]keeping fixed costs low is recorded as a core rule for every growth decision
[task]via negativa list Q3 · draft ready · waiting for human approval
[decision]office rental turned down after the barbell check: recorded, approved by a human
[log]previous session: claude ran the Triad scan, human cut two actions, result stored
[ok]context loaded · this session does not start empty
this is how every assignment runs through the brain: recordedcontext setdelegatedhuman approvalstored · the full trail is at jarvis/how-it-works NL
context.kept Your next session does not start over Today you explain how your revenue is split and what buffer you keep, and tomorrow a separate chat knows none of it any more. 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 uses too. You explain nothing three times and no three versions of the truth grow up side by side.
tasks.tracked Tasks scheduled, 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. 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 a checkable trail: who asked what, which sources were used, which agent worked on it and who approved. Not because it has to be, but because otherwise you cannot check what happened in your name.
human.approval Nothing goes out without approval AI prepares, a human decides. Output stays a draft until someone approves it, and only approved knowledge comes back into the brain. That limit applies 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

Our own work has been running on it for months already. Every agent session, every task and every decision is logged in it and can be read back afterwards. So a new session does not start blank: it first fetches the recorded decisions, the running projects and the latest changes, and carries on from where the last one stopped. So we are describing not a promise but the way we work ourselves, 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 the four plans at jarvis/pricing 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 terms separately first.

~/skills/ai-antifragile-thinking/07-related-skills[ok]
Section 07 · The chain of thinking

The skills around it

reg. A.007

Antifragile thinking rarely stands alone: a decision comes before it and an attack on the plan comes after it. These skills from the same library of 100 each take on a different piece of that thinking work.

If it is about uncertainty

the same unpredictable world

Two skills that work from the same starting point: the world is more unpredictable than your model.

Effectuation CoachBuilds from the means you already have instead of from a prediction: entrepreneurship under uncertainty.SKILL Stoic CoachThe mental side of setbacks: sharply separating what is in your power from what is not.SKILL NL
$ claude --interactief # seven questions, seven answers
DOC.07 · FAQ

Frequently asked questions

What does the AI Antifragile Thinker 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 7.1 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.

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 themselves are plain readable text, so any assistant that accepts instruction files can handle it.

Does the skill give investment advice or tax advice?

No, that is on the list of seven things the skill never does according to its own instructions. It explains general principles such as the barbell split, but concrete investment instruments, structures or tax choices get referred on to an adviser who is qualified for that. The same goes for legal advice.

What is the difference with a pre-mortem?

A pre-mortem starts with a specific plan and asks why that plan will have failed in a year. The Antifragile Thinker looks wider: it classifies the parts of your plan or business on the Triad and looks for the shape of the payoff, in other words what happens to you under shocks you cannot predict. The SKILL.md says itself that for a pre-mortem or a pure risk analysis you are better off with a different skill.

Can the skill predict when the market will crash?

No, and it deliberately refuses to. Predicting when a shock arrives is exactly what, according to Black Swan thinking, cannot be done. The skill does not give predictions but structures that work regardless of predictions: it does not say when the market turns, it says which position survives and which does not.

Is there an antifragility score?

No. The SKILL.md is explicit about that in its own limits section: antifragility is a direction, not a ruler. There is no score, no index and no benchmark, and anyone who promises you an antifragility figure of 7.4 is selling false precision. So you get classifications per part with a reason why, not one overall figure.

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

A plan, business model, decision, portfolio or income structure, in plain language. The more concrete the amounts, ratios and commitments you supply, the sharper the scan. If an amount, a margin or a percentage is missing, the skill writes [FILL IN] and asks for it instead of inventing something. For small input it scales down with it and does not force every part.

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

First the fragility you already have

The most common fragility at Dutch businesses is, incidentally, one this skill would flag immediately: all enquiries from one channel. Anyone who leans entirely on word of mouth or on paid ads has a single point of failure in their pipeline. The free SEO scan shows within seconds where your site stands, and that is a first step towards a second channel that cannot be taken away from you. In the guide eight decision models compared NL you can see how this model relates to the others. And if you want to talk further 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 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.