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Creates effective prompts for AI coding agents and subagent delegation. Use PROACTIVELY when writing prompts for Task tool delegation, creating agent instructions, or designing multi-step workflows. MUST BE USED when delegating complex tasks to subagents or writing system prompts.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name prompt-writing
description Creates effective prompts for AI coding agents and subagent delegation. Use PROACTIVELY when writing prompts for Task tool delegation, creating agent instructions, or designing multi-step workflows. MUST BE USED when delegating complex tasks to subagents or writing system prompts.
allowed-tools Read, Write, Edit, Grep, Glob

Prompt Writing Skill

Overview

Core Principle: Context completeness over brevity. Agents cannot infer what you don't provide.

Target Users:

  • Claude Code delegating to subagents via Task tool
  • UI agents that need to generate prompts
  • Engineers writing system prompts or agent instructions

The CLEAR Framework

Use this mnemonic for every prompt you write:

Letter Component Purpose Key Question
C Context Background information What does the agent need to know?
L Limitations Constraints, prohibitions What should NOT be done?
E Expectations Output format, success criteria What exactly should be returned?
A Actions Step-by-step instructions What steps to follow?
R Resources Files, tools, references What materials are available?

C - Context

Complete background: project state, environment, history. Include file paths, versions, prior decisions.

L - Limitations

Explicit boundaries: DO NOT modify X, use only Y, forbidden patterns, compliance requirements.

E - Expectations

Exact output format: markdown structure, JSON schema, where to save, success criteria checklist.

A - Actions

Numbered steps, validation checkpoints, decision points, error handling guidance.

R - Resources

Required reading (file paths), available tools, reference implementations, examples.

Full guide with examples: reference/prompt-anatomy.md


Context Patterns

Critical Insight

Subagents have NO conversation history. Each invocation is completely fresh. They cannot infer context.

Three Strategies

Strategy When to Use How
File-Based Multi-step workflows Save to file, pass path to next agent
Embedded Small contexts Include all info directly in prompt
Layered Large contexts Summary + references for deep-dive

State Transfer Pattern

Agent 1 → Save results to `.claude/state/results/agent-{timestamp}.md`
Agent 2 → Read from that file path

Full patterns: reference/context-patterns.md


Output Format Quick Reference

Pattern Use Case Key Feature
Structured Markdown Comprehensive results Tables, sections, test output
Binary Verdict Review/validation PASS/FAIL first, then details
Checklist Multi-requirement Progress tracking with status
Condensed Subagent responses Max 3 findings, no verbose output

Delivery Patterns

  • State directory: .claude/state/results/[agent]-[timestamp].md
  • Project output: output/[task-id]/[artifact].md
  • Inline: Return directly (use for summaries only)

Full templates: reference/output-specifications.md


Quality Checklist

Before sending any prompt, verify:

Context (C)

  • All background information included?
  • File paths explicit and complete?
  • No assumptions about prior knowledge?

Limitations (L)

  • Constraints clearly stated?
  • Prohibited actions explicit?
  • Scope boundaries defined?

Expectations (E)

  • Output format specified exactly?
  • Success criteria measurable?
  • Delivery location defined?

Actions (A)

  • Steps numbered and sequential?
  • Validation checkpoints included?
  • Error handling guidance provided?

Resources (R)

  • Required files listed with paths?
  • Available tools mentioned?
  • Examples provided where helpful?

Subagent-Specific

  • No implicit context assumptions?
  • State transfer mechanism defined?
  • Output format prevents overload?

Anti-Patterns Quick Reference

Anti-Pattern Problem Solution
Context Amnesia Assumes agent remembers Embed all context explicitly
Vague Expectations "Give me a good result" Specify exact format
Implicit Constraints "Follow best practices" List specific requirements
Unbounded Scope "Improve the code" Define precise boundaries
Missing Resources "Check the docs" Provide file paths
Output Overload No format limits Request condensed response

Full examples with solutions: reference/anti-patterns.md


Templates

Ready-to-use templates for common scenarios:

Template Purpose
templates/subagent-delegation.md Task tool delegation
templates/code-task.md Implementation tasks
templates/research-task.md Research/exploration
templates/review-task.md Code review/validation

Quick Start

  1. Choose template from templates/ matching your task type
  2. Fill CLEAR sections systematically
  3. Run checklist to verify completeness
  4. Execute the prompt
  5. Iterate if results don't match expectations

Remember: More context is almost always better. When in doubt, include it.


Troubleshooting

Problem Likely Cause Solution
Irrelevant results Insufficient context Add explicit file references, examples
Wrong format Vague specification Provide template with placeholders
Unwanted changes Missing constraints Add explicit DO NOT statements
Incomplete task Unclear success criteria Add specific acceptance criteria
Agent asks questions Ambiguous requirements Make all decisions upfront

Reference Documentation