process
FeaturedProcess: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting.
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Quality Score: 96/100
Skill Content
Details
- Author
- notque
- Repository
- notque/vexjoy-agent
- Created
- 6 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
agent-ops-retro
Retrospective on how the agents themselves are being operated, from local Claude Code transcripts plus the reports other jobs already produce. Answers what is going well, what is going wrong, what the human keeps having to repeat, and where delivery is leaking, then carries every unactioned finding forward with its age. USE THIS AUTOMATICALLY (no need for the user to name it) whenever the user asks to check all conversations, review agent usage, reduce the manual administration of agents, find repeating corrections or issues across sessions, audit skills and the knowledge ledger together, or asks what gaps exist in delivery over a recent window. This is the operator axis: for repository history and shipped work use retro-analysis, for a single finished change use wrap-up.
retro
Use when a Claude Code session ends or is declared finished, a friction needs fixing, a reusable learning needs capturing, local memory needs promoting upward, or for cross-session audits — detect friction AND learnings, route each to the right destination, and gate 'done'. Triggers: /retro, /retro done, 'retrospective', 'capture this learning', 'fix this skill', 'promote memory', 'audit', 'alles erledigt'.
retro
Scientific session-closing retrospective: scan the current conversation, turn each signal into a falsifiable hypothesis, cite session evidence for AND against it, assign a verdict (supported / refuted / inconclusive) and a confidence level, then promote only supported, sufficiently-confident hypotheses into the harness memory tiers (.oh/memory/MEMORY.md, .oh/context/IDENTITY.md) behind a propose-then-confirm gate. Reflects on six learning/knowledge subsystems through the lens of this session — continual learning, context compression, reinforcement learning, wiki, docs, and memory scaffolding — and points at the deep-dive lint/audit skills rather than running them. Operationalizes the Memory Improvement Protocol (.oh/skills/retro/references/memory-protocol.md) as an explicit, evidence-driven, session-closing skill rather than a per-run afterthought. Always appends a log entry. TRIGGER when: /retro invoked, or session closing with decisions, surprises, or failures worth preserving.