# 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
5. references/nerf-skill-ecosystem.md
</required_reading>

<process>
## Step 1: Determine Scope

**Ask the user:**
"Should this skill be global or project-local?"

1. **Global** (`~/.nerf/agent/skills/`) — Available in all NERF sessions
2. **Project-local** (`.pi/agent/skills/`) — Available only in this project

## Step 2: 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 3: 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 4: 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 5: Create Directory

Use the scope selected in Step 1 to determine the base path:
- **Global:** `~/.nerf/agent/skills/{skill-name}`
- **Project-local:** `.pi/agent/skills/{skill-name}`

```bash
BASE_PATH="{selected-base}/agent/skills/{skill-name}"
mkdir -p $BASE_PATH
# If complex:
mkdir -p $BASE_PATH/workflows
mkdir -p $BASE_PATH/references
# If needed:
mkdir -p $BASE_PATH/templates  # for output structures
mkdir -p $BASE_PATH/scripts    # for reusable code
```

## Step 6: 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 7: Write Workflows (if complex)

For each workflow:
```xml
<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 8: Write References (if needed)

Domain knowledge that:
- Multiple workflows might need
- Doesn't change based on workflow
- Contains patterns, examples, technical details

## Step 9: 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 10: Activate

Run `/reload` to make the skill available in the current session. Skills are auto-discovered on next session start.

## Step 11: 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.
</process>

<success_criteria>
Skill is complete when:
- [ ] Scope selected (global or project-local)
- [ ] 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
- [ ] /reload run to activate
- [ ] Tested with real invocation
</success_criteria>
