--- name: idea-autopsy description: "Autopsy a business idea before you build it: kill-list check, five hard filters, a free-AI one-prompt test, live ad-market verification, and a verdict with a named kill-pattern." category: product risk: critical source: community source_repo: hafiz-actyte/idea-autopsy source_type: community date_added: "2026-07-10" author: hafiz-actyte tags: [business-ideas, idea-validation, market-research, startup, founders] tools: [claude, cursor, gemini] license: "MIT" license_source: "https://github.com/hafiz-actyte/idea-autopsy/blob/main/LICENSE" --- # Idea Autopsy ## Overview Turns the agent into a ruthless business-idea pathologist: instead of encouraging the user, it hunts for the one sentence that kills an idea — before any money or weeks are spent building it. Built from a real founder kill-list of 42 dead ideas (including a 9/10-scored idea and one that turned out to be federally illegal to charge for). Every autopsy ends in a hard verdict: DEAD with a named kill-pattern, or SURVIVED with the one cheapest test that could still kill it. ## When to Use This Skill - Use when the user proposes a new business, product, or side-project idea - Use when the user asks "should I build X?" or "validate this idea" - Use when the user says "autopsy my idea" - Use before any market-research or build-planning task for a new venture ## How It Works ### Step 1: Kill-list check If the project contains a `REJECTION.md` (the user's personal kill-list), read it first. A NICHE match (same niche as a killed row) = verdict DEAD, cite the row, stop. A KILL-PATTERN match alone (new niche, previously-seen pattern) is a strong prior, NOT a verdict: name the matching pattern, then run the specific check for that pattern (the relevant filter or test below) to confirm it actually applies before declaring death. If no kill-list exists, ask the user for permission to create one with exactly this schema — this autopsy writes its first row: ```markdown # REJECTION.md — my kill-list ## Killed ideas | # | Idea/Niche | Killed (date) | Hard reason (one line) | Pattern | |---|-----------|---------------|------------------------|---------| ## Survivors under test | Idea | Passed filters (date) | Pending test | Deadline | |------|----------------------|--------------|----------| ``` ### Step 2: The five filters Demand evidence, not optimism. One hard NO = dead. 1. **Real pain?** 2am-problem, or a nice-to-have "vitamin"? 2. **Buyer has money?** Right now — not after the product helps them. 3. **Proven demand?** Can the user name a single live competitor ad? 4. **Legal to charge for?** Regulated, licensed, or illegal in the target market? Name the law if suspicion exists. 5. **A moat?** What stops the 50th copycat next month? ### Step 3: The free-AI test Try to produce the idea's core deliverable with one prompt to a frontier model. If one prompt produces the whole deliverable free, the verdict is DEAD with kill-pattern `free-AI`: the user doesn't have a product, they have a prompt. ### Step 4: Live-market verification (own eyes) Desk research lies. Walk the user through the Meta Ad Library (or equivalent) with an explicit checklist: number of ACTIVE advertisers, age of the oldest running ad (90+ days = someone is paying because it works), and the three traps — zero ads (`wrong-channel`), a few giants (`incumbent-owned`), or hundreds of ads (`crowded` commodity knife-fight: demand ≠ room for you). ### Step 5: Verdict ``` VERDICT: DEAD | SURVIVED KILL-PATTERN: (if dead) THE ONE SENTENCE: EVIDENCE: <2-4 hard facts with sources/numbers> NEXT: ``` Then record the result — gated on consent: if `REJECTION.md` exists, or the user approved creating it in Step 1, append a one-line row (dead) or note the survivor with the date and pending test. If the user declined the kill-list, do NOT create or write the file — print the proposed row as text so they can save it wherever they prefer. The kill-list is the compounding asset — every autopsy makes the next one faster, but only with the user's consent. ## Examples ### Example 1: Idea that dies on the free-AI test ``` User: Should I build a chargeback-response kit for Shopify sellers? Ready-to-send evidence packets, $29 one-time. Agent: Running the autopsy... Step 3 kills it: one prompt to a frontier model produces a complete, usable evidence packet for free. VERDICT: DEAD. KILL-PATTERN: free-AI. THE ONE SENTENCE: If AI ships your whole deliverable in one prompt, you don't have a product — you have a prompt. ``` ### Example 2: Proven demand that still dies ``` User: An app that identifies plants from a photo — there are over a thousand active ads for these, demand is proven! Agent: Step 4 confirms ~1,100 active advertisers — and that's the trap. The AI is free, the datasets are public, everyone could build it, so everyone did. VERDICT: DEAD. KILL-PATTERN: no-moat. THE ONE SENTENCE: Demand tells you a market exists; it doesn't tell you there's room for you. ``` ## Best Practices - ✅ Demand a number, a law, a live ad, or a quote for every claim - ✅ Treat a fast honest kill as a WIN — it saves weeks and dollars - ✅ Make the user verify ad-library findings with their own eyes - ❌ Don't soften verdicts to be encouraging — "it depends" is a failed autopsy - ❌ Don't let buildability excitement skip the buyer questions; building was never the problem ## Limitations - This skill does not replace legal advice, financial advice, or professional market research. - Kill-patterns are priors, not verdicts — a new niche matching an old pattern still deserves a fresh check that the pattern applies. - Ad-library checks reflect one acquisition channel; some categories legitimately sell through search or app stores. - Stop and ask for clarification if the idea's target market, buyer, or deliverable is unclear. ## Security & Safety Notes - This skill performs no shell commands, network calls, or credential handling. - It modifies project state in exactly one place: creating or appending rows to the project's own `REJECTION.md` (hence `risk: critical`). It never edits other files; ask permission before creating the file on first run. - Web checks (ad libraries) are performed by the USER in their own browser; the skill only provides the checklist.