> Session Retrospective

Analyze conversation corrections to detect skill gaps and auto-improve the skills library. Use after any session with user corrections, rework, or retrospective requests.

fetch
$curl "https://skillshub.wtf/HoangNguyen0403/agent-skills-standard/session-retrospective?format=md"
SKILL.mdSession Retrospective

Session Retrospective

Priority: P1 (OPERATIONAL)

Structure

common/session-retrospective/
├── SKILL.md              # Protocol (this file)
└── references/
    └── methodology.md    # Signal tables, taxonomy, report template

Protocol

  1. Extract — Scan for correction signals (loops, rejections, shape mismatches, lint rework)
  2. Classify — Root cause: Skill Missing | Incomplete | Example Contradicts Rule | Workflow Gap
  3. Propose — One fix per root cause: update skill, update reference, new skill, or new workflow
  4. Implement — Apply to all agent dirs. Keep SKILL.md ≤70 lines. Update AGENTS.md
  5. Report — Output correction count, skills changed, estimated rounds saved

Guidelines

  • Cite specifics: Reference concrete conversation moment per proposal
  • Extend first: Search AGENTS.md before creating — update existing skills
  • One fix per loop: One correction → one targeted skill change
  • Sync all agents: Apply to every agent skill dir listed in .skillsrc agents field
  • Follow skill-creator: New skills comply with common/skill-creator standards

Anti-Patterns

  • No Vague Proposals: Cite exact gap + fix, not "make X better"
  • No Duplicate Skills: Search AGENTS.md index first
  • No Oversized Patches: Extract to references/ per skill-creator standard

References

Signal tables, root cause taxonomy, report template, real-world example: references/methodology.md

┌ stats

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github stars341
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first seenMar 17, 2026
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┌ repo

HoangNguyen0403/agent-skills-standard
by HoangNguyen0403
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┌ tags

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