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Found 33 Skills
Auto-capture per-session token usage from the Claude Code session jsonl and persist to the cost-tracking namespace
Archive deployment records with merged common+environment config context (including remote port) for Makefile-first deployment workflow.
Use when extracting imperatives from agent instruction files, analyzing rule coverage, or preparing input for /policy-algebra and /distill.
Schema.org structured data audit and generation optimized for AI discoverability — detect, validate, and generate JSON-LD markup
Manage task records in Feishu Bitable (飞书多维表格) using a fixed task-status table schema and TASK_FIELD_* overrides. Use to fetch/claim/update/create tasks, look up drama metadata by BookID, or derive tasks from a source Bitable (JSON/JSONL in/out).
Monitor repo changes made by another Claude Code instance, accumulate observations, and deliver a final review on request
Extract conversation skeleton or error signals from a single session file at a given path. Invoked by session-research agents after they have selected which sessions to deep-dive — not intended for direct user queries.
Analyzes Claude Code session transcripts (JSONL files) to reveal context window content, token usage patterns, and decision-making processes using view_session_context.py tool. Use when debugging Claude behavior, investigating token patterns, tracking agent delegation, or analyzing context exhaustion. Triggers on "why did Claude do X", "analyze session", "check session logs", "context window exhaustion", or "track agent delegation".
Set up and run an autonomous experiment loop for any optimization target. Use when asked to start autoresearch or run experiments.