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Found 20 Skills
Audit and automatically optimize a lovstudio skill against repo conventions and official Anthropic skill-creator best practices, then bump the semver version and append a CHANGELOG entry. Checks SKILL.md frontmatter/trigger quality, script CLI hygiene, directory naming, README badge, and progressive disclosure structure. Prioritizes issues raised in the current conversation (e.g. bugs the user just hit) over a generic sweep. Use when the user asks to "optimize", "refine", "audit", or "polish" an existing skill, or when they say "bump version", "update changelog", or "fix this skill". Also trigger when the user mentions "优化 skill", "skill 审计", "刷一遍 skill", "skill-optimizer", "bump skill version", "update skill changelog".
This skill should be used when the user wants to check whether an agent skill is portable across providers. Common triggers include "is this skill cross-provider safe", "will my skill work in cursor", "audit skill compatibility", "check if this loads in codex", and "which providers support this skill". Spawns one agent per provider in parallel using bundled provider-doc snapshots (refreshed on cadence — never fetched at runtime) and produces a compatibility matrix plus a COMPAT.md report. Skip when authoring a new skill (use skill-creator) or rerunning baselines (use skill-eval).
This skill should be used when the user wants to run baseline evaluations on existing agent skills, regenerate transcripts after a model upgrade, or check whether a skill still solves the gap it was authored for. Common triggers include "rerun the baselines", "re-eval skill X", "test all the skills", "check for skill drift", and "run the evals". Bakes in verbatim transcript capture (no paraphrasing), deterministic-only grading (regex / contains / file_exists — no LLM-as-judge), and the iteration-N workspace convention. Skip when authoring a new skill (use skill-creator) or modifying skill content directly.
Quickly creates new Claude Code skills or translates ChatGPT projects into Claude Code skills. Handles skill scaffolding, frontmatter, directory structure, and ChatGPT-to-Claude migration. Use when the user wants to 'create a skill,' 'make a new slash command,' 'convert a ChatGPT project,' 'translate a GPT to Claude,' or 'migrate prompts to Claude Code.' For full eval/testing/benchmarking workflows, use skill-creator instead.
Maintain /do routing tables and command references when skills or agents are added, modified, or removed. Use when skill/agent metadata changes, after skill-creator-engineer or agent-creator-engineer runs, or when routing tables need synchronization. Use for "update routes", "sync routing", "routing table", or "refresh /do". Do NOT use for creating new skills/agents, modifying skill logic, or manual /do table edits.
Deterministic git operations with state verification for skill-creator managed repos. Use when managing repos, branches, worktrees, or contribution workflows.
Create new skills for the lovstudio/skills repo. Fork of the official skill-creator with lovstudio conventions: lovstudio: name prefix, skills/lovstudio-<name>/ directory structure, mandatory README.md per skill, SKILL.md with AskUserQuestion interactive flow, standalone Python CLI scripts, CJK text handling, and auto-update of root README + CLAUDE.md. Use when the user wants to create a new skill, add a skill to this repo, scaffold a skill, or mentions "新建skill", "创建skill", "new skill", "add skill", "生成skill".
Helper to install the official skill creator from skills.sh