Analyze coding session transcripts to generate improvement proposals for skills and workflows.
npx skills add https://github.com/damacus/agent-skills --skill retro-damacus
Please help me install this Agent Skill. Skill: retro Source: https://github.com/damacus/agent-skills/tree/main/skills/retro Command: npx skills add https://github.com/damacus/agent-skills --skill retro-damacus
Retrospective analysis of coding sessions to identify patterns, inform improvement of skills, agents, and workflows, and capture actionable learnings.
Analyze the most recent session transcripts for your current project and start a retrospective to surface improvement opportunities.
High-intent search queries and answers about installing and using this skill.
To run a coding session retrospective, the Skill analyzes session transcripts, summaries, edited files, and task states to surface patterns and friction points. It guides you through a structured workflow covering discovery, analysis, and improvement proposals.
Identifying workflow bottlenecks after a sprint requires analyzing session data to track tools used and highlight friction points. This process generates concise summaries and proposes targeted improvements for skills, agents, and workflows.
Yes, you can use session transcripts to improve your coding process by applying a retrospective learning loop. The analysis surfaces improvement opportunities from your session data and optionally updates memory and skill configurations.
No specific environment configurations are required as dependencies. The Skill applies across environments that possess session transcripts, summaries, edited files, and task states to generate actionable learnings.
Session analysis captures actionable improvements by applying a phase-based workflow that evaluates what happened during a session. It moves from discovery to analysis, generating targeted proposals for iterative skill enhancement.
weside-aiAnalyze session transcripts and GitHub PR/CI history to propose MD-file edits.
mslshaoConvert recurring user corrections into a proposed rule or skill update.
brandonavantLog manual observations with predefined categories to a JSONL case study file.
insightwavesmithAnalyze code changes to identify those meeting evidence-shape-check criteria.
