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skill-doctorlisted

Grades agent skills by scoring agent conversations against efficiency and code-quality rubrics, then drafts concrete skill edits and a shareable report. Use when the user wants their agent setup graded from real conversation history, or asks which of their installed skills are actually working.
mohammadhprp/teammate · ★ 1 · AI & Automation · score 74
Install: claude install-skill mohammadhprp/teammate
# skill-doctor Grade the user's agent setup by scoring recent local agent conversations, then propose concrete skill edits and render one shareable report page. The report can cover conversations in the current repository, conversations in selected projects, or all local conversations. It can evaluate project skills alone or project and global skills together. Everything runs locally. Never upload transcripts, session files, or any excerpt of them anywhere. The only shareable artifact is the report the user chooses to post. Let `SKILL_ROOT` be the directory containing this SKILL.md. ## Step 0: Start the run ### Verify the executing harness Read `$SKILL_ROOT/references/supported-harnesses.md` and identify the harness executing this skill from the runtime context. If it is unsupported or cannot be identified confidently, follow the reference's stop behavior. Do not create a report directory or read conversation history. ### Ask which conversations to grade First check whether the current directory is inside a git repository: ```bash git rev-parse --show-toplevel ``` Use the harness's user-question tool when available. When a current repository is available, ask **“Which conversations should I grade?”** with: 1. **Conversations in this repository** — recommended. 2. **All conversations**. 3. **Choose projects to analyze**. When there is no current repository, ask the same question with: 1. **All conversations** — recommended. 2. **Choose projects to analyze**. If