Agent skill

Research Repo Setup

by mohitagw15856 in mohitagw15856/pm-claude-skills

Set up a research repository the team actually reuses — the atomic-insight format (finding + evidence + source + date), the tagging that makes old research findable by new questions, and the…

MITAuto-check passed

Install Research Repo Setup

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill research-repo-setup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills research-repo-setup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-repo-setup .claude/skills/research-repo-setup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-repo-setup
GitHub stars
1.4k
Token cost
~1.4k tokens
SKILL.md length
720 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Set up a research repository the team actually reuses — the atomic-insight format (finding + evidence + source + date), the tagging that makes old research findable by new questions, and the…

  • Works in 5 steps: Atomize or archive: the unit is the… → Every entry carries its epistemics: the… → Tag for future questions: the tag set… → …
  • Asked set up a research repository
  • SKILL.md covers What This Skill Produces, Required Inputs, Framework: The Repo Rules and Output Format, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Repo Setup is an agent skill from mohitagw15856/pm-claude-skills. Set up a research repository the team actually reuses — the atomic-insight format (finding + evidence + source + date), the tagging that makes old research findable by new questions, and the check-the-repo-first norm that stops re-researching. Use when asked set up a research repository, we keep re-learning the same things, where do our user insights live, or make past research findable. Produces the repo structure, the insight-entry format, the intake funnel from studies, and the reuse norms.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked set up a research repository
  • We keep re-learning the same things
  • Where do our user insights live
  • Make past research findable

Example prompts

  • “/research-repo-setup”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Atomize or archive: the unit is the insight, one per entry — "Enterprise buyers involve security review before contract (8/12 interviews…
  2. Every entry carries its epistemics: the n, the sample shape, the date, and the confidence grade (source-triangulation levels work)…
  3. Tag for future questions: the tag set comes from the team's recurring question patterns (segment, lifecycle stage, topic, product area)…
  4. The funnel is the study's last step: every research effort ends with the deposit — themes in atomic format, 20 minutes while fresh — wired…
  5. Reuse is a norm with a moment: every new research request starts with the repo check ("what do we already know?") — findings that answer…

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Repo Setup loads about 1.4k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 720 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 720 words, ~1,442 tokens.

Download SKILL.mdSave it as .claude/skills/research-repo-setup/SKILL.md (or your agent's skills folder).
name
research-repo-setup
description
Set up a research repository the team actually reuses — the atomic-insight format (finding + evidence + source + date), the tagging that makes old research findable by new questions, and the check-the-repo-first norm that stops re-researching. Use when asked set up a research repository, we keep re-learning the same things, where do our user insights live, or make past research findable. Produces the repo structure, the insight-entry format, the intake funnel from studies, and the reuse norms.

Research Repo Setup Skill

Teams pay for the same research repeatedly: the churn interviews from last year answer this quarter's question, but they live in a deck nobody remembers, so the question gets re-studied at full price. The repo fixes the unit — not "studies" (monolithic decks that answer only their original question) but atomic insights: one finding + its evidence + source + date + tags, individually findable by future questions the original study never anticipated. Around the unit: an intake funnel (every study deposits its insights while fresh) and the reuse norm (research requests start with a repo check), because a repo consulted by nobody is a very organized graveyard.

What This Skill Produces

  • The repo structure — where it lives (searchable > beautiful), the insight-entry format, the study-index layer
  • The atomic format — finding (one sentence) · evidence (the support, with its n) · source study + date · tags · confidence
  • The intake funnel — the end-of-study deposit ritual (interview-synthesis themes flow in directly)
  • The reuse norms — repo-check-first on new research requests, and the citation habit that keeps entries alive

Required Inputs

Ask for these if not provided:

  • The research backlog — what studies exist (decks, docs, transcripts) and which still get asked about; the back-fill starts with the asked-about, per the greatest-hits rule
  • The question patterns — what the team repeatedly wants to know (segments? churn drivers? feature reactions?); tags are designed from future questions, not past study titles
  • The platform — wiki, database tool, docs; filterable-by-tag and full-text-searchable are the two requirements, everything else is taste
  • The research producers and consumers — who deposits, who should check first; the norms name both sides

Framework: The Repo Rules

  1. Atomize or archive: the unit is the insight, one per entry — "Enterprise buyers involve security review before contract (8/12 interviews, unprompted; Q3-2025 churn study)" — findable by someone asking about security, buying process, or enterprise, none of which the study title mentioned. Whole decks get indexed (the study layer) but the insights are the retrieval surface.
  2. Every entry carries its epistemics: the n, the sample shape, the date, and the confidence grade (source-triangulation levels work) — because a 2023 insight from six interviews should be trusted differently than last month's survey of four hundred, and the entry must let a stranger tell.
  3. Tag for future questions: the tag set comes from the team's recurring question patterns (segment, lifecycle stage, topic, product area) — small, controlled, gardened (knowledge-gardening owns the vocabulary drift). Free-form tagging balkanizes into synonyms within a quarter.
  4. The funnel is the study's last step: every research effort ends with the deposit — themes in atomic format, 20 minutes while fresh — wired into the synthesis ritual the way decision-log-setup wires into meetings. Retroactive depositing never happens; the funnel or nothing.
  5. Reuse is a norm with a moment: every new research request starts with the repo check ("what do we already know?") — findings that answer it get cited with their dates ("per Q3-25, revalidate if stale"), and partial answers reshape the new study to fill gaps instead of re-covering ground. The repo's KPI is re-research avoided, visible in study briefs that open with "what the repo already says."
Show full SKILL.md (206 more words)Show less

Output Format

Research Repo: [team] — lives at [platform]

The Structure

[The insight entries (retrieval surface) · the study index (provenance layer) · search + tag mechanics]

The Entry Format

[Finding · evidence + n · source study + date · tags (from the controlled set) · confidence]

The Intake Funnel

[The end-of-study deposit ritual · who deposits · the 20-minute while-fresh rule]

Reuse Norms

[Repo-check-first on requests · the cite-with-date habit · the revalidate-if-stale rule · back-fill: the asked-about studies only]

Quality Checks

  • The unit is the atomic insight, not the study
  • Every entry carries n, date, and confidence
  • Tags come from a controlled, question-shaped vocabulary
  • The deposit ritual is wired into how studies already end
  • New research briefs open with the repo's existing answer

Anti-Patterns

  • Do not file decks and call it a repo — un-atomized studies answer only their original question
  • Do not strip the epistemics — undated unconfidenced insights age into misinformation
  • Do not free-form the tags — synonym sprawl is findability death by kindness
  • Do not plan retroactive mass back-fill — the funnel forward, greatest hits backward
  • Do not build it without the check-first norm — deposits without withdrawals is a savings account for a library fire

Example Trigger Phrases

  • "Set up a research repository."
  • "We keep re-learning the same things."
  • "Where do our user insights live?"
  • "Make past research findable."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/research-repo-setup of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Research Repo Setup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Atomic Chat MCP Tool for NanoClawnanocoai/nanoclaw31k—~2.6kAutomated safety check: NotesMIT
ActualizeNeoLabHQ/context-engineering-kit1.8k—~932Automated safety check: PassGPL-3.0
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Wrdn Effect Atom OptimisticUsefulSoftwareCo/executor4.1k—~2.9kAutomated safety check: NotesMIT

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Questions about Research Repo Setup

What does Research Repo Setup do?

Set up a research repository the team actually reuses — the atomic-insight format (finding + evidence + source + date), the tagging that makes old research findable by new questions, and the…. Research Repo Setup is an agent skill from mohitagw15856/pm-claude-skills. Set up a research repository the team actually reuses — the atomic-insight format (finding + evidence + source + date), the tagging that makes old research findable by new questions, and the check-the-repo-first norm that stops re-researching.

When should I use Research Repo Setup?

Research Repo Setup fits situations like: asked set up a research repository; we keep re-learning the same things; where do our user insights live; make past research findable.

How do I install Research Repo Setup in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill research-repo-setup -a claude-code`. Or copy the skill folder (skills/research-repo-setup in mohitagw15856/pm-claude-skills) into .claude/skills/research-repo-setup in your project. Claude Code loads it when a task matches its description.

How do I install Research Repo Setup in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill research-repo-setup -a codex`. Or copy the skill folder (skills/research-repo-setup in mohitagw15856/pm-claude-skills) into .agents/skills/research-repo-setup in your project. Codex loads it when a task matches its description.

Can I use Research Repo Setup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill research-repo-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-repo-setup, .gemini/skills/research-repo-setup, .github/skills/research-repo-setup and .opencode/skills/research-repo-setup in your project.

What does Research Repo Setup need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Repo Setup is instructions for the agent only.

Does Research Repo Setup access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Repo Setup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Repo Setup use?

Research Repo Setup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Repo Setup use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research Repo Setup?

Skills that share tags, products or a category with Research Repo Setup: Compose Atoms (lobehub/lobehub, 83k stars), Atomic Chat MCP Tool for NanoClaw (nanocoai/nanoclaw, 31k stars), Actualize (NeoLabHQ/context-engineering-kit, 1.8k stars) and Performing Purple Team Atomic Testing (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Repo Setup?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.