accelerate
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token…
Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.
$ npx -y skills add sharpdeveye/maestro --skill refine --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/refineContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping.
name: refine description: "Use when the workflow works but needs polish, or as the final step in a diagnose → fix → refine cycle before shipping." argument-hint: "[target area]" category: fix version: 2.0.0 user-invocable: true
Invoke /agent-workflow — it contains workflow principles, anti-patterns, and the **Context Gathering Protocol**. Follow the protocol before proceeding — if no workflow context exists yet, you MUST run /teach-maestro first.
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This is the final quality pass. The workflow works — now make it excellent.
**Prompts**
**Tool Descriptions**
**Error Messages**
**Logging**
**Configuration**
For each checklist item that fails, provide:
1. What's wrong (specific finding) 2. Where it is (file, line, or component) 3. How to fix it (concrete suggestion) 4. Priority (critical / important / nice-to-have)
| Priority | Criteria | Maestro Action | |----------|---------|----------------| | Critical | Affects correctness or safety | `/fortify` or `/guard` before shipping | | Important | Affects quality or maintainability | `/calibrate` in current cycle | | Nice-to-have | Cosmetic or minor inconsistency | Note for next `/refine` pass |
After refinement is complete, run `/evaluate` to verify the polished workflow against realistic scenarios.
**NEVER**:
Workflow fluency for AI coding agents. 1 core skill · 25 commands · 7 domain references · memory layer · audit trail — works across Cursor, Claude Code, Gemini CLI, Copilot, and 6 more.
Repo: sharpdeveye/maestro
Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token…
Use when porting a workflow to a different AI provider, deployment environment, model tier,…
Use when any Maestro command is invoked — provides foundational workflow design principles…
Use when the workflow works but needs to handle more complex cases or produce higher-quality…
Use when workflow components are inconsistent, naming conventions vary, or a new team…
Capture a session summary — what was done, what decisions were made, and what to do next.