.claude/skills/utilities/when-creating-skill-template-use-skill-builder/SKILL.md
Create new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization
npx skillsauth add DNYoussef/ai-chrome-extension when-creating-skill-template-use-skill-builderInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Creates new Claude Code Skills with proper structure, YAML frontmatter, progressive disclosure, and complete documentation. Ensures skills follow best practices and specification requirements.
Define skill components and metadata
Step 1.1: Gather Requirements
const skillRequirements = {
name: 'when-[condition]-use-[skill-name]',
category: 'utilities|development|testing|machine-learning',
description: 'Clear one-sentence purpose',
agents: ['agent1', 'agent2'],
phases: [
{ name: 'Phase 1', duration: '5min', objective: '...' },
// ...
],
triggers: ['When X happens', 'When Y is needed'],
outputs: ['file1.json', 'report.md']
};
await memory.store('skill-builder/requirements', skillRequirements);
Step 1.2: Define YAML Frontmatter
---
name: when-[trigger]-use-[skill-name]
version: 1.0.0
description: Single sentence describing purpose
category: utilities
tags: [tag1, tag2, tag3]
agents: [agent1, agent2]
difficulty: beginner|intermediate|advanced
estimated_duration: 15-30min
success_criteria:
- Criterion 1
- Criterion 2
validation_method: test_type
dependencies:
- claude-flow@alpha
- other-dependency
prerequisites:
- Required condition 1
outputs:
- output-file-1
- output-file-2
triggers:
- Trigger condition 1
- Trigger condition 2
---
Step 1.3: Plan Phase Structure
const phaseStructure = skillRequirements.phases.map((phase, i) => ({
number: i + 1,
title: phase.name,
objective: phase.objective,
duration: phase.duration,
agent: phase.agent,
steps: phase.steps,
validation: phase.validation,
memoryPattern: phase.memoryPattern,
scriptTemplate: phase.scriptTemplate
}));
await memory.store('skill-builder/phase-structure', phaseStructure);
Create skill file structure and boilerplate
Step 2.1: Create SKILL.md
---
[YAML frontmatter from Phase 1]
---
# ${skillName} - ${shortDescription}
## Overview
${detailedDescription}
## When to Use
${triggers.map(t => `- ${t}`).join('\n')}
## Phase 1: ${phase1.title}
### Objective
${phase1.objective}
### Agent: ${phase1.agent}
**Step 1.1: ${step1.title}**
\`\`\`javascript
${step1.code}
\`\`\`
**Step 1.2: ${step2.title}**
[Implementation details]
### Validation Criteria
${validation.map(v => `- [ ] ${v}`).join('\n')}
### Hooks Integration
\`\`\`bash
npx claude-flow@alpha hooks pre-task --description "${phase1.description}"
\`\`\`
## [Repeat for all phases]
## Success Metrics
${successCriteria}
## Memory Schema
\`\`\`javascript
${memorySchema}
\`\`\`
## Skill Completion
${completionCriteria}
Step 2.2: Create README.md
# ${skillName} - Quick Start Guide
## Purpose
${purpose}
## When to Use
${triggers}
## Quick Start
\`\`\`bash
npx claude-flow@alpha skill-run ${skillName}
\`\`\`
## ${phases.length}-Phase Process
${phases.map((p, i) => `${i+1}. **${p.title}** (${p.duration}) - ${p.objective}`).join('\n')}
## Expected Output
${outputExample}
## Success Criteria
${successCriteria}
For detailed documentation, see SKILL.md
Step 2.3: Create PROCESS.md
# ${skillName} - Detailed Workflow
## Process Overview
${processOverview}
## Phase Breakdown
${phases.map(phase => `
### Phase ${phase.number}: ${phase.title}
**Objective**: ${phase.objective}
**Agent**: ${phase.agent}
**Duration**: ${phase.duration}
**Steps**:
${phase.steps.map((step, i) => `${i+1}. ${step}`).join('\n')}
**Outputs**: ${phase.outputs.join(', ')}
**Validation**: ${phase.validation}
`).join('\n---\n')}
## Workflow Diagram
[See process-diagram.gv]
## Integration Patterns
${integrationExamples}
Step 2.4: Create process-diagram.gv
digraph ${SkillName} {
rankdir=TB;
node [shape=box, style=filled, fillcolor=lightblue];
start [label="Input", shape=ellipse, fillcolor=lightgreen];
${phases.map((p, i) => `
phase${i+1} [label="Phase ${i+1}: ${p.title}\\n(${p.duration})\\nAgent: ${p.agent}", fillcolor=lightcoral];
output${i+1} [label="${p.outputs.join('\\n')}", shape=parallelogram];
`).join('\n')}
end [label="Output", shape=ellipse, fillcolor=lightgreen];
start -> phase1;
${phases.map((p, i) => `
phase${i+1} -> output${i+1};
output${i+1} -> phase${i+2 <= phases.length ? i+2 : 'end'};
`).join('\n')}
}
Add implementation details and code examples
Step 3.1: Add Code Examples
// For each phase, add:
// - Implementation code snippets
// - Memory operations
// - Hook integrations
// - Script templates
const phaseImplementation = {
codeExample: `
async function execute${phase.title}() {
// Implementation
await memory.store('${skillName}/${phase.key}', data);
return result;
}
`,
hooks: `
npx claude-flow@alpha hooks pre-task --description "${phase.description}"
npx claude-flow@alpha hooks post-task --task-id "${phase.key}"
`,
scriptTemplate: `
#!/bin/bash
# ${phase.title}.sh
${phase.script}
`
};
Step 3.2: Add Memory Patterns
const memorySchema = {
[`${skillName}/`]: {
[`session-\${id}/`]: {
...phases.reduce((acc, phase) => ({
...acc,
[phase.key]: { /* phase data */ }
}), {})
}
}
};
Step 3.3: Add Integration Examples
// How to use with other skills
const integrationExamples = {
withSPARC: `${skillName} → SPARC workflow`,
withCascade: `cascade: [${skillName}, next-skill]`,
standalone: `npx claude-flow@alpha skill-run ${skillName}`
};
Validate skill executes correctly
Step 4.1: Syntax Validation
# Validate YAML
npx js-yaml SKILL.md
# Validate GraphViz
dot -Tsvg process-diagram.gv -o /dev/null
# Check file completeness
test -f SKILL.md && test -f README.md && test -f PROCESS.md && test -f process-diagram.gv
Step 4.2: Execution Test
# Try to run the skill
npx claude-flow@alpha skill-run ${skillName} --dry-run
# Check for errors
if [ $? -eq 0 ]; then
echo "✅ Skill validation passed"
else
echo "❌ Skill validation failed"
fi
Step 4.3: Documentation Review
const documentationChecklist = {
hasYAMLFrontmatter: true,
hasOverview: true,
hasPhases: phases.length > 0,
hasValidation: true,
hasMemorySchema: true,
hasSuccessMetrics: true,
hasIntegrationExamples: true
};
const allChecksPassed = Object.values(documentationChecklist).every(v => v === true);
Create usage guide and examples
Step 5.1: Add Usage Examples
## Usage Examples
### Basic Usage
\`\`\`bash
npx claude-flow@alpha skill-run ${skillName} \\
--input "input.json" \\
--output "output.json"
\`\`\`
### With Parameters
\`\`\`bash
npx claude-flow@alpha skill-run ${skillName} \\
--param1 "value1" \\
--param2 "value2"
\`\`\`
### Programmatic Usage
\`\`\`javascript
const result = await runSkill('${skillName}', {
input: data,
options: { ... }
});
\`\`\`
Step 5.2: Add Troubleshooting
## Troubleshooting
### Issue: ${commonIssue1}
**Solution**: ${solution1}
### Issue: ${commonIssue2}
**Solution**: ${solution2}
Step 5.3: Generate Completion Report
const completionReport = {
skillName: skillRequirements.name,
filesCreated: [
'SKILL.md',
'README.md',
'PROCESS.md',
'process-diagram.gv'
],
linesOfCode: calculateLOC(),
estimatedDuration: skillRequirements.estimatedDuration,
agentsRequired: skillRequirements.agents.length,
phasesImplemented: phases.length,
validationStatus: 'PASSED',
readyForUse: true
};
await memory.store('skill-builder/completion', completionReport);
{
"skill-builder/": {
"session-${id}/": {
"requirements": {},
"phase-structure": [],
"generated-files": [],
"validation-results": {},
"completion": {}
}
}
}
npx claude-flow@alpha skill-run skill-builder \
--name "my-new-skill" \
--category "utilities" \
--agents "coder,tester" \
--phases "3"
# Convert workflow to skill
npx claude-flow@alpha skill-builder \
--from-workflow "workflow.json" \
--output-dir ".claude/skills/utilities/"
Outputs:
Skill complete when all files created and validation passes.
development
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
development
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
data-ai
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
data-ai
Enterprise-grade PowerPoint deck generation using evidence-based prompting, workflow enforcement, constraint-based design