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ychampionychampion/ystack/skills/discover/SKILL.md

discover

Skill4 starsChanged 2 days agoMITView on GitHub

Customer discovery for a startup idea. Sharpens the hypothesis, researches 20 real prospects with sources, drafts outreach and a Mom Test interview script, and logs call notes as evidence with a commit / sharpen / keep testing / kill call. Use when testing whether an idea has real demand, when asked to find prospects or write a customer interview script, or when the user pastes notes from a customer conversation.

59 other projects use a version of this.

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Used with

Projects with it also use daily-arxiv, exp-eval and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • LambenthanSkill

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  • skyllwtSkill

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  • phanghonghaoSkill

    poster

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  • +6 more from Lambenthan
  • +1 more from skyllwt

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 6 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 52 edited versions we read keep these.

  • 6

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Commit: when at least 3 target users show strong pull: they agree to a pilot, share real data or access, pay, or sign a letter of intent.

    line 36
  2. Distinctive:

    Sharpen: when the pain is real but the framing or the buyer is wrong.

    line 38
  3. Distinctive:

    Kill: after about 15 targeted conversations with no strong pull.

    line 39
  4. Very specific:

    Before anything else, read bottleneck.md, ideas.md and evidence/<idea>.md.

    line 48
  5. Distinctive:

    If the idea is too vague to fill these in, ask the user up to 3 pointed questions first.

    line 59
  6. Distinctive:

    Update the running tally: conversations held, strong-pull count, average pain.

    line 87
  7. Distinctive:

    Update the prospect's status in the prospects file, and draft the follow-up message for the user to send.

    line 90

“Common” is measured: kept by at least 6 in 10 of the 52 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/discover: find out if real people have the problem

The founder hub

This skill reads and writes a founder hub: one folder holding the startup's truth.

  • Location: the FOUNDER_HUB environment variable, default ~/founder. Below, <hub> means that folder.
  • Files this skill uses:
FileWhat it holds
<hub>/README.mdThe decision rule and evidence rules (below). Read it; the hub's version wins over the defaults here
<hub>/bottleneck.mdThe current bet, this week's single bottleneck, the goal and its deadline
<hub>/ideas.mdA table of candidate ideas: one line, who pays, evidence so far, status (candidate, testing, committed, parked, killed)
<hub>/evidence/<idea>.mdHypothesis, interview script, conversation log and running tally for one idea
<hub>/evidence/<idea>-prospects.mdResearched prospects, drafted outreach and outreach status

If the hub or a file is missing, say so and offer to create the minimal structure: the folder, README.md holding the two rule blocks below, a bottleneck.md with empty headings (current bet, bottleneck, goal, deadline), an ideas.md with the table header, and an empty evidence/. Create per-idea files as you need them. Never skip a write silently because a file wasn't there.

Default decision rule (one for every idea):

  • Commit when at least 3 target users show strong pull: they agree to a pilot, share real data or access, pay, or sign a letter of intent.
  • Sharpen when the pain is real but the framing or the buyer is wrong.
  • Kill after about 15 targeted conversations with no strong pull.
  • Compliments, "interesting" and "send me more info" don't count as pull.

Default evidence rules:

  • Log only what real people said or did, with a date and a source.
  • Past behaviour beats opinions about the future. "We spent 3 weeks on this last month" counts; "I'd probably use that" doesn't.
  • The agent drafts outreach; the human sends it. Nothing goes out automatically.

Before anything else, read bottleneck.md, ideas.md and evidence/<idea>.md.

Mode A: test an idea (/discover <idea>)

  1. Sharpen the hypothesis in 5 lines, written at the top of evidence/<idea>.md:

    • who has the problem (role, company type, size);
    • the problem, in their words;
    • what they do today instead (the workaround, and what it costs them);
    • why now;
    • the riskiest assumption.

    If the idea is too vague to fill these in, ask the user up to 3 pointed questions first.

  2. Research 20 real prospects with web search and fetch, in the market the user is targeting (ask if bottleneck.md doesn't say). For each: name, role, company, why they fit (a concrete, recent signal: a post, a job listing, a launch, a complaint), a source URL, and the best channel (LinkedIn, X, email, a community). Write them to evidence/<idea>-prospects.md as a table with a status column. Never invent people or details. Every row needs a source. Fewer real rows beat 20 padded ones.
  3. Draft outreach for each prospect in that file:

    • under 90 words, personal, referencing their signal;
    • it asks for 15 minutes to learn how they handle the problem, not to pitch;
    • one follow-up for 4 days later.

    The user sends everything. Never send, post or email anything yourself, even if a tool for it is available.

  4. Interview script (Mom Test style) in evidence/<idea>.md: questions about past behaviour and real costs ("tell me about the last time...", "what did it cost?", "what have you tried?"). No hypotheticals like "would you use...". End with a commitment ask: a pilot, access to real data, a paid trial or an intro.
  5. Set the idea's status to testing in ideas.md (add a row if it's new) and report: the hypothesis, the prospect count, and the 3 best prospects to contact first.

Mode B: log a conversation (/discover log <idea>, then the notes)

  1. Append to the log in evidence/<idea>.md: date · person · role · company · pain 1-5 · current workaround and its cost · buying signal (pilot / data access / pay / intro / none) · best verbatim quote.
  2. Separate facts they stated from your interpretation. Treat compliments and "interesting" as no signal.
  3. Update the running tally: conversations held, strong-pull count, average pain.
  4. Apply the decision rule. State commit / sharpen / keep testing / kill, with the reason. If sharpen, propose the new framing.
  5. Update the prospect's status in the prospects file, and draft the follow-up message for the user to send.

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