skills/ship-faster/skills/skill-improver/SKILL.md
Improve skills and workflows by analyzing run artifacts and execution logs (events.jsonl/state.json) under runs/ (or OpenSpec changes/). Use when you want to iterate on skills based on real runs: find failure modes, bottlenecks, unclear prompts, missing I/O contracts, and propose concrete edits.
npx skillsauth add enuno/claude-command-and-control skill-improverInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Retrospect and improve Skills/Workflows based on real execution artifacts, making the skill chain more stable with use.
run_dir: runs/<workflow>/active/<run_id>/ (or openspec/changes/<change-id>/)improvements.md: Improvement suggestions (can be directly converted to change tasks)SKILL.md (only change what's necessary)logs/state.json and logs/events.jsonl, extract:
tools
MemPalace local-first AI memory system. Use when setting up persistent memory for Claude Code sessions, mining project files or conversation transcripts, querying past context, configuring MCP tools, managing the knowledge graph, or troubleshooting palace operations.
tools
LangSmith Python SDK — trace, evaluate, and monitor LLM applications. Covers @traceable decorator, trace context manager, Client API, evaluate() / aevaluate(), comparative evaluation, custom evaluators, dataset management, prompt caching, ASGI middleware, and pytest plugin.
development
LangGraph (Python) — build stateful, controllable agent graphs with checkpointing, streaming, persistence, interrupts, fault tolerance, and durable execution. Covers both Graph API (StateGraph) and Functional API (@entrypoint/@task).
development
LangGraph Graph API (Python) — build explicit DAG agent workflows with StateGraph, typed state, nodes, edges, Command routing, Send fan-out, checkpointers, interrupts, and streaming. Use when you need explicit control flow and graph topology.