reflect

Solid

Session retrospective and skill audit. Use when "/reflect", "session review", "retrospective", "what went wrong", "lessons learned", "what should we remember", or "what can we improve".

AI & Automation 31 stars 3 forks Updated 1 weeks ago MIT

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Quality Score: 82/100

Stars 20%
50
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Reflect ## Success Criteria - Every mistake/friction point cites the specific moment and its impact - Improvements are actionable, prioritized, and <= 10 items - Each skill audit proposes measurable changes (not vague suggestions) - User is asked which items to persist to memory ## Process ### 1. Session Review Scan the full conversation. For each finding, cite the specific exchange (quote or paraphrase) and its impact. | Category | Signal | |----------|--------| | **Mistakes** | Wrong outputs, incorrect assumptions, hallucinated facts | | **Friction** | Repeated clarifications, verbose responses, misread intent | | **Wasted effort** | Work discarded, wrong approaches tried first | | **Wins** | Approaches worth repeating, smooth interactions | Skip one-time typos, external tool failures, and issues outside agent control. ### 2. Improvements Numbered list of **concrete improvements**, ranked by impact. Each item: one sentence, imperative, actionable. Cap at 10. Ask: *"Which of these should I remember for future chats?"* Save approved items to memory files via the auto memory system. ### 3. Skill Audit (if skills were used) For each skill invoked during the session: **A. Self-check gate** — If the skill lacks success criteria + verification loop: - Add `## Success Criteria` at top (3-5 measurable checks) - Add `## Self-Check` at bottom: "Verify all success criteria are met before presenting output. If not, iterate (max 5 times)." **B. Token efficiency** — Flag:...

Details

Author
iliaal
Repository
iliaal/whetstone
Created
6 months ago
Last Updated
1 weeks ago
Language
Python
License
MIT

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