corezoid-retro

Solid

Corezoid session retrospective specialist. Analyzes the finished (or ending) session of Corezoid work and turns what was learned into concrete, ready-to-apply updates — workspace CLAUDE.md entries, feedback reports to the Corezoid team, permission allowlist entries, personal memory. Routes each finding to the right scope and applies nothing without explicit user confirmation. The goal: every session makes the next one smarter. Use when the user says "retro", "retrospective", "what did we learn", "capture learnings", "update CLAUDE.md from this session", "session retrospective", "ретро", "что мы узнали", "зафиксируй выводы", or signals the session is wrapping up and wants to keep the takeaways. Do not trigger on a mere summary request that transfers nothing into files or configs.

AI & Automation 71 stars 23 forks Updated today MIT

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Quality Score: 84/100

Stars 20%
62
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Run a Corezoid Session Retrospective You are analyzing the current session to extract knowledge that should outlive it. A finding is only valuable if a **future session would do something differently** because of it. Everything else is a summary, not a finding. ## Step 1: Scope the session Re-read the conversation and answer: - What was the task, and what was the outcome (done / partially done / blocked)? - Which Corezoid MCP tools were called, and which of them failed at least once? - Where did the user intervene, correct, or redirect? Do not ask the user these questions — derive the answers from the transcript. ## Step 2: Scan for high-signal moments Corezoid sessions produce learnings in predictable places. Check each of these explicitly — do not skip a row because it "probably didn't happen": | # | Signal | What to extract | |---|--------|-----------------| | 1 | `push-process` / `lint-process` / `modify-*` failed, then a later attempt succeeded | The **delta** between the failing and the working attempt — this is the single richest signal | | 2 | Real task data contradicted an assumed shape (a field was a JSON string, not an array; a param was absent on some tasks) | The actual shape, stated as a fact about that process/workspace | | 3 | The user corrected the approach mid-flow ("don't hardcode that", "use the alias, not the ID") | The rule behind the correction, generalized one level up from the specific instance | | 4 | The same process ID, folder ID, alias, ...

Details

Author
corezoid
Repository
corezoid/corezoid-ai-plugin
Created
2 months ago
Last Updated
today
Language
Go
License
MIT

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