Skill Build Helper
VerifiedCreate or optimize an OpenClaw skill. Use when the user wants to build a new skill, improve an existing one, review a SKILL.md, or prepare a skill for ClawHu...
$ Add to .claude/skills/ About This Skill
# Skill Builder
A meta-skill for creating and optimizing OpenClaw skills following official best practices. Guides you through a structured workflow from intent to publish-ready skill.
Workflow
1. Understand intent
Determine the mode:
| Mode | Trigger | |------|---------| | Create | User wants a new skill | | Optimize | User wants to improve or review an existing skill |
If creating: Ask the user for 2-3 concrete usage examples (what would they say to trigger this skill, what should happen). These examples drive the description and workflow design.
If optimizing: Read the existing `SKILL.md` and note its current structure before proceeding.
2. Scaffold the directory
Create the skill directory under `~/workspace/skills/`:
``` <skill-name>/ ├── SKILL.md (required — agent instructions) ├── README.md (recommended for published skills) ├── scripts/ (if deterministic code is needed) └── references/ (if large docs needed on-demand) ```
- Naming rules:
- Lowercase, hyphens only (no underscores, no spaces)
- Max 64 characters
- Verb-led when possible (e.g., `workout-track`, `skill-builder`)
- Folder name must match the `name` field in frontmatter
3. Write the SKILL.md
The SKILL.md is the core file — it contains the agent's instructions for executing the skill.
#### Frontmatter (YAML)
Three fields:
```yaml --- name: <skill-name> description: <what it does>. Use when <trigger context>. metadata: {"openclaw":{"requires":{"bins":["list","of","binaries"]}}} --- ```
- `name`: Must match folder name exactly
- `description`: Primary trigger mechanism. Include "Use when..." to help the agent decide when to activate. Be specific to avoid overlap with other skills
- `metadata`: Declare runtime dependencies. Load `{baseDir}/references/frontmatter-spec.md` for the full reference if needed
#### Body structure
Write the body following these rules:
- Opening line: One sentence explaining what the skill does
- `## Workflow`: Numbered H3 steps (`### 1. Step name`) — imperative form
- Tables for structured data (fields to extract, flags, mappings)
- Code blocks with exact commands — use `exec` tool JSON format:
- ```json
- {
- "tool": "exec",
- "command": "<shell command here>"
- }
- ```
- `## Examples`: Table with realistic input/output pairs (minimum 3 rows)
- Error handling section: What to do when things fail — always present, never retry silently
#### Key rules
- Keep SKILL.md under 500 lines — move detailed docs to `references/`
- Use `{baseDir}` for paths within the skill directory (e.g., `{baseDir}/scripts/run.sh`)
- No hardcoded secrets — read from env vars, `.env`, or `openclaw.json` via `jq`
- Imperative form throughout ("Extract the URL", not "The URL is extracted")
- Confirmation before state changes — show a summary and ask before writing to DB, sending messages, etc.
4. Write the README.md
User-facing documentation with these sections:
```markdown # <Skill Name>
<What it does — 1-2 lines>
Requirements
- <binary or service 1>
- <binary or service 2>
Setup
<Step-by-step setup instructions>
Usage
<2-3 natural language examples showing what the user would say>
Install
\`\`\`bash clawhub install <author>/<skill-name> \`\`\` ```
5. Quality check
Load `{baseDir}/references/checklist.md` and validate every item:
- [ ] Frontmatter has `name` + `description`
- [ ] `name` matches folder name
- [ ] Description includes "Use when..." trigger phrases
- [ ] No hardcoded secrets or API keys
- [ ] `{baseDir}` used for all internal paths
- [ ] Metadata declares runtime dependencies (`requires.bins`, `requires.env`)
- [ ] Error handling section is present
- [ ] Examples section with at least 3 rows
- [ ] SKILL.md is under 500 lines
- [ ] README.md present for published skills
- [ ] Confirmation step before any state-changing operation
Report the results as a checklist to the user, noting any failures.
6. Optimize (existing skills only)
When reviewing an existing skill:
- Read the current SKILL.md
- Run the quality check from Step 5
- List each issue found with a concrete fix
- Ask the user which fixes to apply
- Apply approved fixes
Do not rewrite an entire SKILL.md — make targeted, minimal edits.
Examples
| User says | Mode | Action | |-----------|------|--------| | "I want to create a skill that tracks my reading list" | Create | Scaffold `reading-track/`, gather examples, write SKILL.md + README.md | | "Can you review my sm-saver skill?" | Optimize | Read `sm-saver/SKILL.md`, run checklist, report issues | | "Build a skill for checking server status" | Create | Scaffold `server-check/`, gather examples, write SKILL.md + README.md | | "Improve the reminder skill for ClawHub" | Optimize | Read `reminder/SKILL.md`, run checklist, add README.md if missing |
Use Cases
- Manage and organize OpenClaw skills for development workflows
- Create new OpenClaw skills with proper structure and metadata
- Review and validate skill quality before publishing
- Safely install and verify third-party skills with security checks
- Manage skill dependencies and resolve version conflicts
Pros & Cons
Pros
- +Clean CLI interface integrates well with automation pipelines and AI agents
- +API-based architecture allows flexible integration with various platforms
- +Integrates into existing development workflows without disruption
- +Improves development velocity through automation and best practices
Cons
- -Requires API key configuration — not free or self-contained
- -Adds another tool to the development stack that needs maintenance
- -May overlap with functionality already provided by IDE or other tools
FAQ
What does Skill Build Helper do?
What platforms support Skill Build Helper?
What are the use cases for Skill Build Helper?
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