Claude-skill-registry insights-repository-kit
Governance + tooling pattern for storing research artifacts, tagging,
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/insights-repository-kit" ~/.claude/skills/majiayu000-claude-skill-registry-insights-repository-kit && rm -rf "$T"
manifest:
skills/data/insights-repository-kit/SKILL.mdsource content
Insights Repository Kit Skill
When to Use
- Archiving research deliverables, raw data, transcripts, and notes.
- Enabling self-serve discovery of past research to prevent duplicate studies.
- Setting up governance for access control, tagging, and retention policies.
Framework
- Structure – libraries for briefs, raw data, synthesis, decision logs, assets.
- Metadata – tags for persona, lifecycle, product area, method, confidence, expiry.
- Access & Permissions – roles for contributors, reviewers, consumers, legal.
- Versioning – changelog, superseded flags, linkage to experiments or roadmap items.
- Discovery – search templates, digest generation, and notification hooks.
Templates
- Repository IA diagram + folder/Notion/database schema.
- Metadata dictionary with tag definitions and required fields.
- Intake/update form for adding new studies with validation logic.
Tips
- Automate ingestion from survey tools and recording platforms when possible.
- Require executive summaries + decisions so assets stay actionable.
- Pair with
andrun-market-landscape-study
to auto-file outputs.orchestrate-qualitative-lab