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SKILL verified Apache-2.0 Self-run

Common Session Retrospective

skill-hoangnguyen0403-agent-skills-standard-common-session-retrospective · by HoangNguyen0403

Analyze conversation corrections to detect skill gaps and prepare targeted skill-library maintenance tasks. Use after any session with user corrections, rework, or retrospective requests. After finding correction loops, also load +common/common-learning-log to persist mistake entries to AGENTS_LEARNING.md.

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Install

$ agentstack add skill-hoangnguyen0403-agent-skills-standard-common-session-retrospective

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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About

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 | Trigger Miss
  3. Trigger Miss Check — For every task in session, ask: " relevant skill available but not loaded?"
  • If yes: record skill ID, indirect phrase used, and fix (add keyword alias to triggers)
  1. Propose — One fix per root cause: revise existing guidance, update reference, add new skill, or add new workflow
  2. Implement — Only when current task explicitly authorizes repository maintenance, apply the approved repo changes across configured agent dirs. Keep SKILL.md concise; move large tables to references/. Update AGENTS.md
  3. Log to AGENTS_LEARNING.md — For each correction loop found, append one entry using common/common-learning-log protocol (Signal: Session retrospective)
  4. Report — Output correction count, skills changed, trigger misses found, estimated rounds saved

Trigger Miss Output

Emit trigger miss block (schema in [references/methodology.md](references/methodology.md#trigger-miss-schema)) for each miss detected.

Guidelines

  • Cite specifics: Reference concrete conversation moment per proposal
  • Extend first: Search AGENTS.md before creating — extend existing guidance first
  • One fix per loop: One correction → one targeted skill change
  • Stay task-scoped: Only change repository library source during explicit maintenance work for the repository
  • 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](references/methodology.md)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.