Retrospective / Learning workflow (mandatory)

SkillDocs & knowledge

Scan the current chat session for durable learnings (clarifications, corrections, decisions, pitfalls) and update .agent/memory.md. Use after critical review and before concluding work.

Available today. Use it from your connected AI after setup.

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Then ask your AI: use the Retrospective / Learning workflow (mandatory) skill

What this skill tells your AI

The instructions your AI receives, as published by diegosouzapw/awesome-omni-skill in skills/data-ai/agent-ops-retrospective/SKILL.md and read by ahel’s review.

Goal

Ensure durable, reusable insights from this chat session are captured in .agent/memory.md so future sessions can resume without re-discovering them.

Inputs

  • The current chat session transcript (user + assistant messages in this session)
  • .agent/constitution.md, .agent/memory.md, .agent/focus.md, .agent/issues/

Extraction rules (strict)

Only capture durable items:

  • confirmed workflow rules
  • stable project conventions (not one-off)
  • confirmed commands (but commands/boundaries belong in constitution, not memory)
  • user preferences that affect future work on this repo
  • corrections to previous misunderstandings
  • pitfalls/gotchas discovered during implementation

Do NOT capture:

  • transient task state (belongs in focus)
  • speculative ideas not adopted
  • secrets/tokens
  • personal/sensitive data

Placement rules (strict)

  • Project-specific commands/boundaries/constraints → .agent/constitution.md
  • Durable workflow learnings and recurring conventions → .agent/memory.md
  • Current session status → .agent/focus.md
  • Follow-ups and approvals needed → .agent/issues/

Procedure

  1. Read: constitution/memory/focus/tasks.
  2. Scan the chat session for:
    • explicit corrections ("No, do X instead of Y")
    • newly confirmed commands or tools
    • newly confirmed constraints ("never refactor", "only write docs in …")
    • repeated misunderstandings (add a "pitfall to avoid")
    • preferences expressed by the user
  3. Update .agent/memory.md:
    • append a dated subsection: ## Retrospective YYYY-MM-DD
    • add short, atomic bullets phrased as "Do/Don't/Prefer"
    • avoid duplication with constitution (link to constitution section if needed)
  4. Update focus if the retrospective reveals unresolved items.
  5. Invoke agent-ops-tasks discovery if actionable items found.
  6. Do not declare completion unless retrospective has been run.

Issue Discovery During Retrospective

After scanning session, invoke agent-ops-tasks discovery for actionable items:

  1. Collect actionable learnings:

    • "We should add tests for X" → TEST issue
    • "This pattern is confusing, needs docs" → DOCS issue
    • "Found a bug but didn't fix it" → BUG issue
    • "This could be optimized later" → PERF issue
    • "Technical debt noticed" → CHORE or REFAC issue
    • "Security concern noted" → SEC issue
  2. Present to user:

    📋 Retrospective identified {N} actionable items:
    
    Medium:
    - [DOCS] Document the retry mechanism in PaymentService
    - [TEST] Add integration tests for new OAuth flow
    
    Low:
    - [CHORE] Clean up commented-out code in UserController
    - [PERF] Consider caching user preferences (noted during implementation)
    
    Create issues for these? [A]ll / [S]elect / [N]one
    
  3. After creating issues:

    • Mark in memory.md: "Created {ISSUE-IDs} for follow-up"
    • These become part of the project backlog

Signals

GitHub stars
57
Forks
19
Last commit
Mar 2026
Advanced
Catalog kind
skill
Gateway key
agent-ops-retrospective
Source
github.com/diegosouzapw/awesome-omni-skill