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Automation
Skill

/insights-repository-kit

Governance + tooling pattern for storing research artifacts, tagging,

From plugin
gtm-agents
368200 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --skill insights-repository-kit --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/insights-repository-kit

Context preview

The summary Claude sees to decide when to auto-load this skill.

Governance + tooling pattern for storing research artifacts, tagging,

SKILL.md

insights-repository-kit.SKILL.md
name: insights-repository-kit
description: Governance + tooling pattern for storing research artifacts, tagging,
  and discovery.

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 **Versioning** – changelog, superseded flags, linkage to experiments or roadmap items. 5.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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