delegation-prompt-crafter
Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-cto-team/delegation-prompt-crafterskilz install alirezarezvani/claude-cto-team/delegation-prompt-crafter --agent opencodeskilz install alirezarezvani/claude-cto-team/delegation-prompt-crafter --agent codexskilz install alirezarezvani/claude-cto-team/delegation-prompt-crafter --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-cto-teamcp -r claude-cto-team/skills/delegation-prompt-crafter ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-cto-team
- Stars
- 44
- Forks
- 10
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- javascript
- Market Score
- 0
Agent Skill Grade
A Score: 99/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Description needs trigger phrases
- Missing Integration Example for Mentor Validation
- Validation Checklist Lacks Measurability
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 2026-01-24
Developer Feedback
I've been reading through how you structured the prompt delegation flow—the way you layer context and scaffolding to guide users through complex decisions is genuinely clever. At 99/100, that one missing point is probably telling you something worth fixing.
Links:
The TL;DR
You're at 99/100, solid A grade. This is based on Anthropic's skill best practices. Your strongest areas are Writing Style (10/10—no fluff, pure instruction) and Progressive Disclosure Architecture (28/30—excellent file layering). The weakness is Spec Compliance (11/15)—mostly because your frontmatter description lacks trigger phrases, which actually costs you discoverability.
What's Working Well
- Copy-paste checklists are gold. The validation checklist at lines 251–263 gives users actual gates to pass before delegating. That's the kind of thing people bookmark.
- Three specialist templates (Architecture, Mentor, ML-Architect) show real flexibility without bloat. Each one is complete but brief enough to customize.
- The CONTEXT/TASK/REQUIREMENTS structure is clean. You're teaching a mental model, not just listing steps. That's why the Writing Style score is maxed out.
- File organization hits the mark—270 lines in the main SKILL.md, templates tucked into
/references/. Token-efficient without hiding anything.
The Big One: Frontmatter Description Needs Trigger Phrases
Your description currently reads: "Transform clarified user requests into structured delegation prompts optimized for specialist agents..."
This doesn't have trigger phrases. According to the spec, it should look like:
description: Performs delegation prompt crafter operations. Use when asked to "delegati...
AI-Detected Topics
Extracted using NLP analysis
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