Skip to content
cccskills
FreePublished on GitHub

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.

The English summary is being prepared. Showing the original description.

Works withPostgreSQL

Run score Not tested

See how to install

Files included (4)

  • SKILL.md8.4 KB
  • prompt-templates/architect-delegation.md6.7 KB
  • prompt-templates/mentor-delegation.md6.3 KB
  • prompt-templates/ml-architect-delegation.md9.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Delegation Prompt Crafter

Creates structured, context-rich prompts for specialist agents that maximize their effectiveness and minimize back-and-forth.

When to Use

  • After clarification-protocol has resolved ambiguities
  • When routing to cto-architect for design work
  • When routing to strategic-cto-mentor for validation
  • When routing to cv-ml-architect for ML-specific architecture
  • For any handoff between agents in a workflow

Why This Matters

Specialist agents work best with:

  1. Clear context: Business goals, constraints, current state
  2. Specific task: Exactly what deliverable is expected
  3. Structured requirements: Must-haves vs nice-to-haves
  4. Quality criteria: How to evaluate success

Without this structure, agents may:

  • Ask redundant questions (wasting time)
  • Solve the wrong problem (misunderstanding context)
  • Over-engineer or under-engineer (missing constraints)
  • Produce outputs in wrong format (unclear expectations)

Delegation Prompt Structure

Every delegation prompt follows this format:

## CONTEXT

### Business Goal
[What business outcome this serves]

### Current State
[Relevant existing systems, constraints, decisions]

### Key Constraints
- [Constraint 1: e.g., "Budget: < $10K/month infrastructure"]
- [Constraint 2: e.g., "Timeline: MVP in 8 weeks"]
- [Constraint 3: e.g., "Team: 3 senior engineers, Python/React expertise"]

### Background Information
[Any relevant context from clarification or previous agents]

---

## TASK

### Primary Deliverable
[Exactly what output is expected]

### Format Requirements
[Structure, sections, level of detail expected]

### Scope Boundaries
- **In scope**: [What to cover]
- **Out of scope**: [What to explicitly exclude]

---

## REQUIREMENTS

### Must-Haves
- [Critical requirement 1]
- [Critical requirement 2]

### Nice-to-Haves
- [Optional enhancement 1]
- [Optional enhancement 2]

### Quality Criteria
- [Criterion 1: e.g., "Architecture must support 10x growth"]
- [Criterion 2: e.g., "Trade-offs explicitly documented"]

### Integration Points
- [What this output feeds into: e.g., "Will be validated by strategic-cto-mentor"]
- [What depends on this: e.g., "Development team will implement from this"]

---

## ADDITIONAL CONTEXT

[Any other relevant information, links to documentation, previous decisions, etc.]

Agent-Specific Templates

See the prompt-templates folder for pre-built templates:

Crafting Guidelines

Context Section

Business Goal: Be specific about outcomes, not activities

  • Bad: "Build a notification system"
  • Good: "Enable real-time alerts so users act on time-sensitive events, reducing missed opportunities by 50%"

Current State: Include what exists and what's working

  • Existing architecture and tech stack
  • Pain points with current solution
  • Previous attempts and why they failed
  • Existing integrations that must be preserved

Constraints: Be explicit about non-negotiables

  • Budget (infrastructure and development)
  • Timeline (deadlines, milestones)
  • Team (size, skills, availability)
  • Technical (must-use technologies, compliance)
  • Political (stakeholder preferences, past decisions)

Task Section

Primary Deliverable: One clear output

  • Bad: "Help us with the architecture"
  • Good: "Provide a system architecture design document with component diagrams, data flow, and technology recommendations"

Format Requirements: Specify structure

  • "7-section architecture document per standard format"
  • "Executive summary (2 pages max) + detailed appendix"
  • "Focus on Phase 1 MVP, with notes on Phase 2 considerations"

Scope Boundaries: Prevent scope creep

  • Explicitly state what's NOT included
  • Call out decisions already made
  • Identify what other agents will handle

Requirements Section

Must-Haves vs Nice-to-Haves: Force prioritization

  • Must-haves are blocking—solution fails without them
  • Nice-to-haves are enhancements—can be deferred

Quality Criteria: Measurable success

  • "Latency < 200ms at p95"
  • "Support 100K concurrent users"
  • "Cost < $5K/month at launch scale"

Integration Points: Connect the workflow

  • What happens after this agent finishes?
  • Who consumes this output?
  • What format do downstream consumers need?

Common Mistakes to Avoid

1. The Information Dump

Bad: Copying entire conversation history into delegation Good: Distill to relevant context only

2. The Vague Task

Bad: "Design a good system" Good: "Design a notification system architecture that supports 100K users, uses our existing PostgreSQL database, and costs < $2K/month"

3. The Missing Constraints

Bad: Letting agent assume unlimited budget/time Good: Explicitly stating constraints, even if flexible

4. The Forgotten Handoff

Bad: No mention of what happens next Good: "This design will be validated by strategic-cto-mentor before implementation begins"

Output Examples

Example 1: Architecture Delegation

## CONTEXT

### Business Goal
Enable customers to receive real-time notifications for order status changes, reducing support tickets about "where's my order" by 60%.

### Current State
- Monolithic Node.js backend, PostgreSQL database
- Notifications currently sent via email batch (hourly)
- 50K active users, expecting 200K in 12 months
- Mobile app (React Native) and web app (React)

### Key Constraints
- Budget: < $3K/month additional infrastructure
- Timeline: MVP in 6 weeks, full rollout in 10 weeks
- Team: 2 backend engineers, 1 mobile engineer
- Must integrate with existing authentication system

### Background Information
User research shows 73% of support tickets are order status questions. Push notifications tested well in user interviews.

---

## TASK

### Primary Deliverable
System architecture design for real-time notification system

### Format Requirements
Standard 7-section architecture document:
1. Executive Summary
2. System Architecture (with diagrams)
3. Technology Stack Justification
4. Implementation Roadmap
5. Risk Assessment
6. Code Examples (WebSocket integration)
7. Deployment Strategy

### Scope Boundaries
- **In scope**: Backend notification service, mobile push integration, delivery tracking
- **Out of scope**: Email notifications (keep existing), SMS notifications (Phase 2)

---

## REQUIREMENTS

### Must-Haves
- Real-time delivery (< 5 second latency)
- Support for 200K users with 20% daily active
- Push notifications on iOS and Android
- Fallback to email if push fails

### Nice-to-Haves
- Notification preferences per user
- Read receipts / delivery confirmation
- Rich notifications with images

### Quality Criteria
- p95 latency < 5 seconds from event to notification
- 99.9% delivery success rate
- Infrastructure cost < $3K/month at 200K users

### Integration Points
- Will be validated by strategic-cto-mentor before implementation
- Development team will implement from this architecture
- Must integrate with existing user service for preferences

---

## ADDITIONAL CONTEXT

Previous attempt at WebSockets failed due to connection management complexity. Team prefers managed solutions where possible. AWS is our cloud provider.

Validation Checklist

Before sending delegation prompt, verify:

  • Business goal is outcome-focused, not activity-focused
  • All critical constraints are explicitly stated
  • Task is specific with clear deliverable
  • Format requirements are defined
  • Scope boundaries prevent scope creep
  • Must-haves are truly must-haves (not nice-to-haves in disguise)
  • Quality criteria are measurable
  • Integration points explain the workflow context
  • No vague terms or buzzwords remain

References

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Detect common technical and organizational anti-patterns in proposals, architectures, and plans. Use when strategic-cto-mentor needs to identify red flags before they become problems.

The English summary is being prepared. Showing the original description.

alirezarezvani/claude-cto-team119Updated Dec 18, 2025

Recommend architecture patterns (monolith, microservices, serverless, modular monolith) based on scale, team size, and constraints. Use when cto-architect needs to select the right architectural approach for a new system or migration.

The English summary is being prepared. Showing the original description.

alirezarezvani/claude-cto-team119Updated Dec 18, 2025

Identify and challenge implicit assumptions in plans, proposals, and technical decisions. Use when strategic-cto-mentor needs to surface hidden assumptions and wishful thinking before they become costly mistakes.

The English summary is being prepared. Showing the original description.

alirezarezvani/claude-cto-team119Updated Dec 18, 2025

Generate targeted clarifying questions (2-3 max) that challenge vague requirements and extract missing context. Use after request-analyzer identifies clarification needs, before routing to specialist agents. Helps cto-orchestrator avoid delegating unclear requirements.

The English summary is being prepared. Showing the original description.

alirezarezvani/claude-cto-team119Updated Dec 18, 2025

Infrastructure and development cost estimation for technical projects. Use when planning budgets, evaluating build vs buy decisions, or projecting TCO for architecture choices.

The English summary is being prepared. Showing the original description.

alirezarezvani/claude-cto-team119Updated Dec 18, 2025

Deep expertise in ML/CV model selection, training pipelines, and inference architecture. Use when designing machine learning systems, computer vision pipelines, or AI-powered features.

The English summary is being prepared. Showing the original description.

alirezarezvani/claude-cto-team119Updated Dec 18, 2025

See all skills by alirezarezvani

Report a problem with this skill