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Found 5 Skills
Manage long-running agent sessions. Use for tracking progress in extended tasks, maintaining context across long sessions, and managing multi-step workflows.
Use after completing work sessions to analyze agent behavior patterns, prepare session handoffs for continuity, document completed work, identify blockers, or preserve context for the next session.
Commit SpecStory transcripts and Claude/Cursor/OpenCode/Codex plans with feature diffs, derive staged `AI-Assisted-By` plus transcript/plan trailers, prevent secret leaks, and ignore SpecStory machine-local state. Use when asked to commit/save/stage agent sessions, record cross-harness provenance, bootstrap pre-commit, fix `.specstory/statistics.json` churn, scrub a transcript, or remediate accidental secret commits/pushes with rotate-first discipline.
Use when working on complex multi-step tasks, when a session is getting long (40+ tool calls), when the agent starts ignoring rules it followed earlier, when conventions drift, when output quality seems to degrade, or after any context compaction event. Prevents long-session corruption AND context compaction amnesia through behavioral self-enforcement.
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits. A core context engineering skill — also activates when the user mentions "context engineering" or "context-engineering" in the context of managing token budgets and session longevity.