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insights-repository-kit

insights-repository-kit

github.com/gtmagentsProductivity42866 installsUpdated 30w ago
Repository

About insights-repository-kit

Insights Repository Kit is a skill for organizing research deliverables and supporting their discovery and governance. It provides structures, metadata, permissions, versioning, and templates for teams maintaining a reusable research archive.

Key features

  1. 01Research library structure
  2. 02Metadata and tagging scheme
  3. 03Role-based access planning
  4. 04Versioning and change tracking
  5. 05Search and digest templates

Use cases

  1. 01Archive studies, data, transcripts, and notes
  2. 02Help teams find prior research
  3. 03Define access and retention policies

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill insights-repository-kit

After installing, type/insights-repository-kitin Claude Code to confirm it loaded.

Details

From the project README

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

  1. Structure – libraries for briefs, raw data, synthesis, decision logs, assets.
  2. Metadata – tags for persona, lifecycle, product area, method, confidence, expiry.
  3. Access & Permissions – roles for contributors, reviewers, consumers, legal.
  4. Versioning – changelog, superseded flags, linkage to experiments or roadmap items.
  5. 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 run-market-landscape-study and orchestrate-qualitative-lab to auto-file outputs.

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