Workflow
Follow these 9 steps in order. Copy this checklist into your response and check off each step as you complete it:
Task Progress:
- [ ] Step 1: Understand the skill with concrete examples
- [ ] Step 2: Choose skill name
- [ ] Step 3: Write description
- [ ] Step 4: Write frontmatter
- [ ] Step 5: Write SKILL.md body
- [ ] Step 6: Decide on progressive disclosure
- [ ] Step 7: Create bundled resources
- [ ] Step 8: Validate
- [ ] Step 9: IterateStep 1: Understand the Skill with Concrete Examples
Work through 2-3 concrete examples of how the skill will be used. Ask the user:
- What does the skill do? Can you show me an example of how you'd use it?
- What would a user say that should trigger this skill?
- Does it need
allowed-tools(does it run shell commands, use MCP tools)? - Should this be a background skill? (always-loaded context, not user-invocable — see frontmatter-spec for
user-invocable: false)
For each example, walk through how it would be executed from scratch. This reveals what knowledge, scripts, or assets are needed.
Classify the skill category:
- Document/asset creation — generates files, reports, configs
- Workflow automation — multi-step processes, scaffolding, setup
- MCP enhancement — extends or coordinates MCP server capabilities
Step 2: Choose Skill Name
Rules:
- Gerund form for processes (
creating-components), noun form for tools (code) - Kebab-case, max 64 characters, must match folder name
Step 3: Write the Description
This is the highest-impact field — a poor description causes the skill to never be invoked.
Follow the "What + When" formula and all rules in: -> See description-writing
Step 4: Write the Frontmatter
Use the exact YAML schema and constraints in: -> See frontmatter-spec
Step 5: Write the SKILL.md Body
Rules:
- Under 500 lines (~5,000 words max)
- Only include knowledge the agent does not already have — do not teach general programming, standard libraries, or well-known tools
- No time-sensitive information (versions that expire, URLs that rot)
- Consistent terminology throughout — pick one term for each concept and stick with it
- Imperative voice
- For any workflow with 3+ steps, include a copyable task list checklist (
- []items) that the agent copies and checks off as it progresses — this prevents step-skipping and makes progress observable - Match instruction specificity to task fragility — see "Degrees of Freedom" in skill-patterns
Choose the best skill pattern for the use case: -> See skill-patterns
Step 6: Decide on Progressive Disclosure
Determine whether content belongs in SKILL.md or in bundled resources: -> See progressive-disclosure
Step 7: Create Bundled Resources (If Needed)
A skill can include three types of bundled resources:
reference/— Documentation loaded into context as needed (schemas, guides, examples). One level deep, one topic per file, kebab-case filenames.scripts/— Executable code (Python, Bash, etc.) for tasks needing deterministic reliability or repeatedly rewritten code. Test scripts by running them.assets/— Files used in output but not loaded into context (templates, fonts, icons, boilerplate).
Do NOT create extraneous files like README.md, CHANGELOG.md, or INSTALLATION_GUIDE.md inside the skill folder. The skill should only contain what the agent needs to do the job.
Step 8: Validate
Triggering test: Ask the agent "When would you use the [skill-name] skill?" — it should quote the description back accurately. If it cannot, revise the description.
Anti-patterns check: Review the skill against the anti-patterns list: -> See anti-patterns
Final checks:
- SKILL.md is under 500 lines
- All links to bundled resources resolve to existing files
- Frontmatter YAML is valid (check with a YAML parser if available)
- No agent-specific language — the skill should work with any agent supporting the open skill standard
- No XML angle brackets in frontmatter fields
Step 9: Iterate
Skills are living documents. After the initial version:
- Use the skill on real tasks
- Observe where the agent struggles or takes unexpected paths
- Watch for triggering issues:
- Under-triggering (skill doesn't load when it should) — add more trigger phrases and keywords to the description - Over-triggering (skill loads for unrelated queries) — add negative triggers ("Do NOT use for X"), narrow scope - Instructions not followed — put critical instructions at the top, use stronger language, consider scripts for deterministic operations
- Update SKILL.md and bundled resources based on observations
- Re-test and repeat
Output
Deliver the complete skill directory to the user:
skills/{skill-name}/SKILL.mdskills/{skill-name}/reference/*.md(if applicable)skills/{skill-name}/scripts/*.py(if applicable)skills/{skill-name}/assets/*(if applicable)
Summarize what was created and suggest testing the skill by invoking it with one of the identified use cases.