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pensyve
pensyve 收录了来自 major7apps 的 17 个 skills，并提供仓库级职业覆盖和站内 skill 详情页。
这个仓库中的 skills
Use when the user types @pensyve, asks for an @-mention workflow, wants mention-style Pensyve memory access in Codex, or asks whether Pensyve supports Codex mentions.
Use when the user explicitly invokes Pensyve, asks what the agent remembers, wants Codex to recall or store project memory, requests memory health review, or wants memory grounded work.
Pre-refactor context loading -- queries Pensyve memory for past decisions, failures, and patterns related to a refactoring target, then compiles a briefing. Use when starting a refactor to avoid repeating past mistakes.
End-of-session memory capture -- analyzes session for decisions, outcomes, and patterns worth remembering, then stores confirmed items via Pensyve. Use when ending a work session or when the user wants to capture what was learned.
Session start context priming -- loads relevant memories from Pensyve at the beginning of a session to provide continuity across sessions. Use when switching projects or needing historical context.
Long-running multi-session work (research, eval loops, iterative benchmarks) with continuity -- resume prior lessons, capture per-run outcomes, build up stable truths over time. Use for eval/research/benchmark work that spans sessions.
Debug with working memory -- before diagnosing, recall prior root causes and known-good diagnostic procedures; when a root cause is confirmed, capture it immediately. Use whenever debugging a non-trivial failure.
Architecture/design decisions with working memory -- before recommending, recall prior decisions and tradeoffs; when a decision is made, capture it immediately. Use for any substantive design question.
End-of-session memory capture -- classifies session signals using a tiered taxonomy and stores confirmed items via Pensyve. Use when ending a work session or when the user wants to capture what was learned.
End-of-session memory capture -- classifies session signals using a tiered taxonomy and stores confirmed items via Pensyve. Use when ending a work session or when the user wants to capture what was learned.
Memory hygiene audit -- checks for stale, contradictory, low-confidence, and consolidation-candidate memories, then offers cleanup actions with user confirmation. Use periodically to maintain memory quality.
Session start context priming — loads relevant memories from Pensyve to provide continuity across sessions
Pre-refactor context loading — queries Pensyve memory for past decisions, failures, and patterns related to a refactoring target, then compiles a briefing
Memory hygiene audit — checks for stale, contradictory, low-confidence, and consolidation-candidate memories, then offers cleanup with user confirmation
Session-start context loading -- loads historical decisions, issues, and patterns from Pensyve to provide cross-session continuity. Use at session start or when switching context.
Pre-refactor context briefing -- loads relevant prior decisions, failures, and pitfalls from Pensyve memory before refactoring a module. Use before any refactor to avoid repeating past mistakes.
Memory hygiene audit -- finds stale facts, contradictions, low-confidence entries, and consolidation candidates in Pensyve memory. Use periodically to maintain memory quality.