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cccskills
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diagnose

Use when the user wants to find problems, audit workflow quality, or get a comprehensive health check on their AI workflow.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro스타 591(GitHub 591 + cccskills 0)

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MANDATORY PREPARATION

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.


Perform a systematic diagnostic scan across 5 dimensions. For each dimension, score 1-5 and provide specific findings.

Dimension 1: Prompt Quality (1-5)

Evaluate:

  • Structure (4-zone pattern: role, context, instructions, output)
  • Output schema definition (explicit vs. implicit)
  • Instruction clarity (specific vs. vague)
  • Edge case handling (addressed vs. ignored)
  • Anti-patterns present (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 between project-configured tools (e.g., custom scripts, project MCP servers) and agent-level tools (e.g., built-in IDE tools, global MCP servers). Only flag tool overhead for tools the project can actually control

Dimension 4: Architecture Fitness (1-5)

Evaluate:

  • Topology appropriateness (single vs. multi-agent justified)
  • Agent boundaries (clear vs. overlapping)
  • Handoff protocols (structured vs. ad-hoc)
  • Observability (decisions logged vs. black box)
  • Cost awareness (budgeted vs. unbounded)

Dimension 5: Safety & Reliability (1-5)

Evaluate:

  • Input validation (present vs. absent)
  • Output filtering (PII, content policy) — scope contextually: data flowing between a user's own frontend and backend (e.g., authenticated sessions, internal APIs) is lower risk than data exposed to external services or third-party APIs
  • Cost controls (ceilings set vs. unbounded)
  • Error recovery (fallbacks vs. crash)
  • Evaluation strategy (golden tests vs. "it seems to work")

Diagnostic Report Format

╔══════════════════════════════════════╗
║          MAESTRO DIAGNOSTIC         ║
╠══════════════════════════════════════╣
║ Prompt Quality      ████░  4/5      ║
║ Context Efficiency   ███░░  3/5      ║
║ Tool Health          ██░░░  2/5      ║
║ Architecture         ████░  4/5      ║
║ Safety & Reliability ██░░░  2/5      ║
╠══════════════════════════════════════╣
║ Overall Score:       15/25           ║
╚══════════════════════════════════════╝

CRITICAL FINDINGS:
1. [Most severe issue — immediate action needed]
2. [Second most severe]
3. [Third]

RECOMMENDED ACTIONS:
1. Run /fortify to add error handling (addresses Tool Health + Safety)
2. Run /streamline to reduce tool count (addresses Tool Health)
3. Run /refine for prompt structure improvements (addresses Prompt Quality)

Maestro Command Mapping

Every recommended action MUST reference the specific Maestro command that addresses it. Use this mapping:

Dimension GapMaestro CommandWhen to Recommend
Prompt structure, clarity, output schema/refineScore ≤ 4 on Prompt Quality
Context budget, attention gradient, memory/streamlineScore ≤ 3 on Context Efficiency
Tool errors, missing tools, redundant tools/fortifyScore ≤ 3 on Tool Health
Tool count reduction, unused tools/streamlineTool count > 7 or unused tools found
Safety gaps, error recovery, validation/fortifyScore ≤ 3 on Safety & Reliability
Test coverage, golden tests, evaluation/guardNo automated tests or evaluation strategy
Architecture boundaries, observability/calibrateScore ≤ 3 on Architecture Fitness

Do NOT give generic manual actions (e.g., "Add Vitest", "Create a rollback script") without also specifying which Maestro command the user should run to implement it. The recommended action format is:

Run /<command> to [specific action] (addresses [Dimension] #[gap number])

Scoring Guide

ScoreMeaningMaestro Action
5Production-excellentNo action needed
4Good with minor gaps/refine for polish
3Functional but risky/fortify or /streamline for targeted fix
2Significant issues/fortify + /guard — immediate attention
1Broken or missing/onboard-agent — rebuild required

Diagnostic Checklist

  • All 5 dimensions scored with specific evidence
  • Critical findings listed in priority order
  • Each finding includes specific file/component location
  • Recommended actions reference specific Maestro commands (see Command Mapping above)
  • Overall score calculated and report generated

Recommended Next Step

After diagnosis, run the command mapped to your lowest-scoring dimension. For a general improvement sequence: /fortify → /streamline → /refine.

NEVER:

  • Give all 5s unless the workflow is genuinely production-excellent
  • Skip dimensions — score all 5 even if some seem fine
  • Diagnose without reading the actual workflow code/config
  • Recommend changes without specific findings to support them
  • Give generic manual actions without mapping them to a Maestro command

리뷰

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같은 저장소의 스킬

Use when the workflow is too slow, too expensive, or both and needs latency, cost, or token usage optimization.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro5912026년 4월 29일 업데이트

Use when porting a workflow to a different AI provider, deployment environment, model tier, or organizational context.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro5912026년 4월 29일 업데이트

Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro5912026년 4월 29일 업데이트

amplify

무료

Use when the workflow works but needs to handle more complex cases or produce higher-quality output through better tools, context, prompts, or models.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro5912026년 4월 29일 업데이트

calibrate

무료

Use when workflow components are inconsistent, naming conventions vary, or a new team member's work needs alignment to project standards.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro5912026년 4월 29일 업데이트

capture

무료

Capture a session summary — what was done, what decisions were made, and what to do next.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

sharpdeveye/maestro5912026년 4월 29일 업데이트

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