gh-glittercowboy-taches-cc-resources/skills/create-agent-skills/workflows/create-new-skill.md

Workflow: Create a New Skill

<required_reading> Read these reference files NOW:

1. references/recommended-structure.md
2. references/skill-structure.md
3. references/core-principles.md
4. references/use-xml-tags.md </required_reading>

## Step 1: Adaptive Requirements Gathering

If user provided context (e.g., "build a skill for X"): → Analyze what's stated, what can be inferred, what's unclear → Skip to asking about genuine gaps only

If user just invoked skill without context: → Ask what they want to build

Using AskUserQuestion

Ask 2-4 domain-specific questions based on actual gaps. Each question should:

• Have specific options with descriptions
• Focus on scope, complexity, outputs, boundaries
• NOT ask things obvious from context

Example questions:

• "What specific operations should this skill handle?" (with options based on domain)
• "Should this also handle [related thing] or stay focused on [core thing]?"
• "What should the user see when successful?"

Decision Gate

After initial questions, ask: "Ready to proceed with building, or would you like me to ask more questions?"

Options:

1. Proceed to building - I have enough context
2. Ask more questions - There are more details to clarify
3. Let me add details - I want to provide additional context

Step 2: Research Trigger (If External API)

When external service detected, ask using AskUserQuestion: "This involves [service name] API. Would you like me to research current endpoints and patterns before building?"

Options:

1. Yes, research first - Fetch current documentation for accurate implementation
2. No, proceed with general patterns - Use common patterns without specific API research

If research requested:

• Use Context7 MCP to fetch current library documentation
• Or use WebSearch for recent API documentation
• Focus on 2024-2025 sources
• Store findings for use in content generation

Step 3: Decide Structure

Simple skill (single workflow, <200 lines): → Single SKILL.md file with all content

Complex skill (multiple workflows OR domain knowledge): → Router pattern:

skill-name/
├── SKILL.md (router + principles)
├── workflows/ (procedures - FOLLOW)
├── references/ (knowledge - READ)
├── templates/ (output structures - COPY + FILL)
└── scripts/ (reusable code - EXECUTE)

Factors favoring router pattern:

• Multiple distinct user intents (create vs debug vs ship)
• Shared domain knowledge across workflows
• Essential principles that must not be skipped
• Skill likely to grow over time

Consider templates/ when:

• Skill produces consistent output structures (plans, specs, reports)
• Structure matters more than creative generation

Consider scripts/ when:

• Same code runs across invocations (deploy, setup, API calls)
• Operations are error-prone when rewritten each time

See references/recommended-structure.md for templates.

Step 4: Create Directory

mkdir -p ~/.claude/skills/{skill-name}
# If complex:
mkdir -p ~/.claude/skills/{skill-name}/workflows
mkdir -p ~/.claude/skills/{skill-name}/references
# If needed:
mkdir -p ~/.claude/skills/{skill-name}/templates  # for output structures
mkdir -p ~/.claude/skills/{skill-name}/scripts    # for reusable code

Step 5: Write SKILL.md

Simple skill: Write complete skill file with:

• YAML frontmatter (name, description)
• <objective>
• <quick_start>
• Content sections with pure XML
• <success_criteria>

Complex skill: Write router with:

• YAML frontmatter
• <essential_principles> (inline, unavoidable)
• <intake> (question to ask user)
• <routing> (maps answers to workflows)
• <reference_index> and <workflows_index>

Step 6: Write Workflows (if complex)

For each workflow:

<required_reading>
Which references to load for this workflow
</required_reading>

<process>
Step-by-step procedure
</process>

<success_criteria>
How to know this workflow is done
</success_criteria>

Step 7: Write References (if needed)

Domain knowledge that:

• Multiple workflows might need
• Doesn't change based on workflow
• Contains patterns, examples, technical details

Step 8: Validate Structure

Check:

• YAML frontmatter valid
• Name matches directory (lowercase-with-hyphens)
• Description says what it does AND when to use it (third person)
• No markdown headings (#) in body - use XML tags
• Required tags present: objective, quick_start, success_criteria
• All referenced files exist
• SKILL.md under 500 lines
• XML tags properly closed

Step 9: Create Slash Command

cat > ~/.claude/commands/{skill-name}.md << 'EOF'
---
description: {Brief description}
argument-hint: [{argument hint}]
allowed-tools: Skill({skill-name})
---

Invoke the {skill-name} skill for: $ARGUMENTS
EOF

Step 10: Test

Invoke the skill and observe:

• Does it ask the right intake question?
• Does it load the right workflow?
• Does the workflow load the right references?
• Does output match expectations?

Iterate based on real usage, not assumptions.

<success_criteria> Skill is complete when:

• Requirements gathered with appropriate questions
• API research done if external service involved
• Directory structure correct
• SKILL.md has valid frontmatter
• Essential principles inline (if complex skill)
• Intake question routes to correct workflow
• All workflows have required_reading + process + success_criteria
• References contain reusable domain knowledge
• Slash command exists and works
• Tested with real invocation </success_criteria>