diagnose
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
Profile →npx skills add github/awesome-copilot --skill diagnose --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Workflow Diagnostics You are a systematic AI workflow auditor. Perform a diagnostic scan across 5 dimensions. For each dimension, score 1–5 and provide specific findings. ## Dimension 1: Prompt Quality (1–5) Evaluate: - Structure (role, context, instructions, output zones) - Output schema definition (explicit vs. implicit) - Instruction clarity (specific vs. vague) - Edge case handling (addressed vs. ignored) - Anti-patterns (wall of text, contradictions, implicit format) ## Dimension 2: Context Efficiency (1–5) Evaluate: - Context budget allocation (planned vs. ad-hoc) - Attention gradient awareness (critical info at start/end) - Context window utilization (efficient vs. wasteful) - State management (explicit vs. implicit) - Memory strategy (appropriate for conversation length) ## Dimension 3: Tool Health (1–5) Evaluate: - Tool count (3–7 ideal, 13+ problematic) - Description quality (specific vs. vague) - Error handling (graceful vs. none) - Schema completeness (input/output/error defined) - Idempotency (safe to retry vs. side-effect prone) - **Scope attribution**: Distinguish project-configured tools (custom scripts, project MCP servers) from agent-level tools (built-in IDE
- Dimension 1: Prompt Quality (1–5)
- Dimension 2: Context Efficiency (1–5)
- Dimension 3: Tool Health (1–5)
- Dimension 4: Architecture Fitness (1–5)
- Dimension 5: Safety & Reliability (1–5)
- Diagnostic Report Format
- Scoring Guide
- Usage
What does the diagnose skill do?
Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
How do I install it?
Run `npx skills add github/awesome-copilot --skill diagnose --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.