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From skill-optimizer
Mines coding-agent session history, transcripts, and memories to discover recurring workflows and draft new Agent Skills from real usage evidence.
npx claudepluginhub hqhq1025/skill-optimizerHow this skill is triggered — by the user, by Claude, or both
Slash command
/skill-optimizer:skill-minerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Mine real agent usage for new skill opportunities. The goal is to find repeated workflows, extract the reusable technique, and turn strong candidates into draft skills with evidence.
Detects repeated workflow patterns from AI session transcripts and suggests reusable skills to automate them. Use when optimizing workflows.
Converts Entire-tracked sessions, checkpoints, or repeated workflows into a reusable SKILL.md file. Use when you want to capture a repeatable agent workflow from past sessions.
Analyzes session work, detects duplicate patterns, and automatically converts reusable workflows into Claude Code skills via Agent Teams.
Share bugs, ideas, or general feedback.
Mine real agent usage for new skill opportunities. The goal is to find repeated workflows, extract the reusable technique, and turn strong candidates into draft skills with evidence.
Do not use to tune an existing skill; use skill-personalizer. Do not use to publish a private skill publicly; use skill-generalizer.
scripts/scan_sessions.py for a first-pass sanitized cluster report when local session files or exported transcripts are available.AGENTS.md.skill-generalizer, or be skipped.Read discovery-rubric.md before doing a full session-history scan or creating candidate skill drafts.
Use scripts/scan_sessions.py --help for the deterministic scanner. It supports native Codex/Claude/Gemini-style local evidence, --export inputs for other agents, and --patterns for personalized workflow definitions. Treat its output as evidence for review, not as an automatic decision to create skills.