market-research
Skill2 starsChanged 41 days agoMITView on GitHub
Researches a market for one decision the person names first — reads real sources, separates what is true (with its URL) from what is guessed, and ends with what it means for that decision. No invented market sizes. (localstack)
113 other projects use a version of this.
Adopted by
Most recently taken up by
- Rojios/everything-claude-codetheir own version, first seen Nov 8, 2026
- Adelie-Squad/solosquadtheir own version, first seen Nov 8, 2026
- darkweb19/skillstheir own version, first seen Nov 8, 2026
- ahmadvahidi/skill-atlastheir own version, first seen Nov 8, 2026
- CatCatUncle/openworkbuddytheir own version, first seen Nov 5, 2026
- Cure-Consulting-Group/ProductEngineeringSkillstheir own version, first seen Nov 4, 2026
Used with
Projects with it also use everything-claude-code, everything-claude-code-conventions 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.
InfopibeSkilleverything-claude-code
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mryeastcodeSkilleverything-claude-code-conventions
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Draft cold emails, warm intro blurbs, follow-ups, update emails, and investor communications for fundraising. Use when the user wants outreach to angels, VCs, strategic investors, or accelerators and needs concise, personalized, investor-facing messaging.
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shawnpangSkillcompetitor-monitoring
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niloykumarbarmanSkillagent-sort
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- +1 more from Infopibe
Other versions113 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 113
- affaan-m/ECC★ 246ksame name
- xu-xiang/everything-claude-code-zh★ 1.9ksame name
- CatCatUncle/openworkbuddy★ 398same name
- shawnpang/startup-founder-skills★ 331same name
- loulanyue/awesome-claude-notes★ 272same name
- alexsmedile/hormozi-skills★ 208same name
- okikusan-public/stock_skills★ 134same name
- cohen-liel/hivemind★ 108same name
- extruct-ai/gtm-skills★ 108same name
- tpavanipradeep/everything-claude-code★ 104same name
103 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- competitor-watchSkill
- fact-checkSkill
- file-tidySkill
- inbox-triageSkill
- keyword-researchSkill
- lead-draftSkill
- lead-exportSkill
- lead-planSkill
- lead-qualifySkill
- lead-reachSkill
- lead-retroSkill
- lead-searchSkill
- localstackSkill
- money-reportSkill
- on-page-optimizerSkill
- reconcileSkill
- routine-reportSkill
- routine-setupSkill
- seo-auditSkill
- setup-localbrainSkill
- social-planSkill
- social-postSkill
- support-faqSkill
- support-replySkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 4 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 99 edited versions we read keep these.
4
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
- Distinctive: line 68
Ask for everything still missing in a SINGLE message, then wait.
- Very specific: line 73
1. Frame: Write the decision, what would change it, and the questions that follow (at most six).
- Distinctive: line 86
3. Sort: every claim into True (read, cited), Guessed (inferred — say from what) or Unknown (looked, not found — say where).
- Distinctive: line 136
Every line under "What's true" opens to a page that says it.
- Distinctive: line 137
No number appears that was not read on a cited page or labelled a guess with its working.
“Common” is measured: kept by at least 6 in 10 of the 99 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.
Files
When to invoke this skill
Answers a market question in service of one decision: "should we launch in
Dhaka", "is there demand for a cheaper tier", "who buys this and what do they
pay". Use when asked to "research this market", "is there a market for…",
"should we enter…". Umbra's skill. For a standing comparison of named rivals,
use /competitor-watch.
The decision comes first — the hard boundary
Research without a decision is a pile of links. Before reading a single source, agree the decision in one sentence ("Decide whether to offer a Bangla-language plan by December") and what would change it (two or three things that, if true, swing it). Write both at the top of the file. Every source you read earns its place by bearing on one of them.
- True vs guessed, always visible. A fact carries the URL it was read at
and the date read. An estimate is labelled
guess:with the reasoning that produced it. A number you did not read on a page — market size, growth rate, share — is never written as if you had. - UNKNOWN is a finding. What you looked for and could not find is listed, with where you looked.
- No signing in, no paid reports. Gated reports and sites are read only through what public pages and search results say about them; a paywalled figure quoted second-hand is cited to the page that quoted it, labelled so.
What you need first
- The decision, in one sentence, and the deadline if there is one.
- What the business sells, in their words — DESIGN.md or a
PLAN-*.mdmay already say. - Scope — the place, the customer, the time frame.
Ask for everything still missing in a SINGLE message, then wait. Without a decision, propose one from the request and confirm it before researching.
Procedure
1. Frame. Write the decision, what would change it, and the questions
that follow (at most six). Pick the slug: <topic> from the decision
(bangla-plan).
Scratch for this run lives in .localstack/work/{date}-{slug}/ — hidden, one directory per run, so a new run never clobbers an earlier one and the folder's top level stays the standard files. Scratch is disposable; old run directories may be deleted freely.
2. Read. For each question: search, then fetch the pages that actually
answer it — official statistics, the companies' own pages, reviews and
forums for what buyers say, job posts and news for direction. Note each
source in .localstack/work/{date}-<topic>/sources.md (URL, date read, what
it says, which question). Prefer primary sources; a blog repeating a number
is cited, but the number is traced to where it began when you can.
3. Sort every claim into True (read, cited), Guessed (inferred — say from what) or Unknown (looked, not found — say where).
4. Write research-<topic>.md at the top of the working folder:
# Research — <topic>
Updated: YYYY-MM-DD
## The decision
<one sentence> — what would change it: <2–3 things>
## What's true
- <claim> — <URL> (read YYYY-MM-DD)
## What's guessed
- guess: <estimate> — because <reasoning, citing the true items it rests on>
## Unknown
- <what> — looked at: <where>
## What it means for the decision
<3–6 short points, each pointing back at the true items it rests on, and
which way it pushes the decision; then the one thing to find out next>A rerun replaces the file; CHANGELOG.md and git keep the history.
Standard files. This folder is kept in files any agent already reads. Update them in place; never scatter output into new folders.
- AGENTS.md — create it if missing. localstack owns only the block between
<!-- localstack:start -->and<!-- localstack:end -->; rewrite that block, never anything outside it. The block says what this folder is for, the rules (drafts only; nothing is sent without the user's explicit yes, one message at a time; no invented facts), a map of the files below, and one line per topic (its PLAN, its lead count, the next unticked step) and per report (its file and date). - CHANGELOG.md — create it if missing (
# Changelog). Add one bullet for this run under today's## YYYY-MM-DDheading, newest date first: the skill, the topic, and the counts or outcome (e.g.- lead-search austin-dentists: 18 found, 3 skipped as already contacted). - TODOS.md — create it if missing (
# TODOs). Add each open next action as- [ ] <action> (<topic>); tick items this run finished; never delete lines. - DESIGN.md — decisions meant to last (positioning, tone, channels to use or avoid). Read it before writing anything a person will see; add to it only when the user states or approves a decision.
For this step: the CHANGELOG line gives the decision, sources read, and
true / guessed / unknown counts. One TODO per unknown that would change the
decision (- [ ] find out: <unknown> (research <topic>)). Record the decision
in DESIGN.md only when the person makes it.
5. Report. Lead with what it means for the decision, then the biggest
unknown. Offer /competitor-watch when named rivals came up.
Completion status. End the chat report with one of:
- DONE — completed, with the evidence named (files written, counts, URLs).
- DONE_WITH_CONCERNS — completed, and list each concern.
- BLOCKED — cannot proceed; say what blocked it and what was tried.
- NEEDS_CONTEXT — missing information; say exactly what is needed.
Quality bar
- Every line under "What's true" opens to a page that says it.
- No number appears that was not read on a cited page or labelled a guess with its working.
- The implications answer the decision asked — not a general market essay.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

