retro

Automate structured retrospectives by collecting session data and evaluating tooling usage.

1|1|Updated Jan 27, 2026
One-click install
npx skills add https://github.com/demithras/ClearMeta --skill retro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: retro
Source: https://github.com/demithras/ClearMeta/tree/main/.claude/skills/retro
Command: npx skills add https://github.com/demithras/ClearMeta --skill retro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines post-session reflection by automatically collecting and analyzing conversation data to reveal how tools, skills, and agents performed, reducing manual logging and guesswork.

Core Features & Use Cases

  • Auto-collection: Extract skills invoked, agents spawned, and friction signals from the session to generate a structured retrospective.
  • Entity extraction & persistence: Persist extracted entities to Obsidian vault for knowledge graph building and future reference.
  • Improvement planning: Propose beads issues and refinement opportunities, including automation candidates and orchestration improvements.
  • Use Case: End-of-day reviews, bead-based projects with repeated patterns, or major tool changes that require evaluation and learning.

Quick Start

After a significant beads session, run /retro to generate a structured retrospective with auto-collected data and suggested improvements.

Frequently Asked Questions about retro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a retrospective from conversation data?

Automated retrospectives parse session data to extract invoked skills, spawned agents, and friction signals, generating a structured review to reduce manual logging and guesswork.

Can I persist extracted entities to an Obsidian vault during a retrospective?

Entity extraction persists collected entities to an Obsidian vault during retrospectives, building a knowledge graph for future reference and structured post-session analysis.

What is the best way to identify tooling friction in repeated interaction patterns?

Evaluating tooling usage in repeated interaction patterns identifies friction signals and proposes optimization, enabling actionable improvements and automation candidates.

How do I generate improvement issues after a beads project session?

Improvement planning proposes beads issues and refinement opportunities after a beads session, evaluating tooling usage and suggesting orchestration improvements via the /skill-farm workflow.

Do I need any dependencies to run end-of-session reviews?

End-of-session reviews require no dependencies, operating independently to auto-collect session data and generate structured retrospectives with suggested improvements.

When should I not use automated retros?

Automated retros suit significant sessions and repeated patterns; trivial or isolated interactions may lack sufficient data for meaningful entity extraction and improvement planning.