smithery/heyvhuang

workflow-creator

Create workflow-* skills by composing existing skills into end-to-end chains.

Installation

$ npx skills add smithery/heyvhuang --skill workflow-creator

Summary

  • Create workflow-* skills by composing existing skills into end-to-end chains.
  • Turns a user idea into a workflow_spec.md SSOT (via workflow-brainstorm), discovers available skills locally + from skills.sh, and generates a new workflow-<slug>/ skill package.
  • Use when you want to design a new workflow, chain multiple skills into a flow, or turn scattered atomic skills into a resumable plan-then-confirm workflow.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,503 B
  • docs SUMMARY.md 436 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Workflow Creator

Create a new workflow-<slug>/ skill package that chains existing skills with Ship Faster-standard artifacts.

Hard rules (do not skip)

  • Compose skills, don't copy them: a workflow's job is orchestration. Do not paste long best-practice content from other skills into the workflow. Instead: map each step to a single existing skill and point to it.
  • One step = one skill: every step in workflow_spec.md must map to exactly one skill (or a tiny, verifiable manual action).
  • Missing required skill = stop: do not approximate a missing skill by rewriting its logic. When a required skill is missing locally, you must look up candidates on https://skills.sh/, suggest 2-3 options + install commands, and wait for the user.
  • Artifact-first, resumable: state lives in proposal.md, tasks.md, context.json under run_dir/.
  • Plan-then-confirm execution: generated workflows must write a plan first, then ask the user to confirm execution; the confirmation must be recorded under tasks.md -> ## Approvals.

Defaults (Ship Faster standard)

  • Artifact store: runs/ by default, OpenSpec when openspec/project.md exists (unless overridden in context.json).
  • Required run files: proposal.md, tasks.md, context.json.
  • Execution model: plan first, then ask the user to confirm execution; on confirmation, record approval in tasks.md.

Inputs (paths only)

  • Optional: repo_root (skills repository root)
  • Optional: workflowspecpath (if the user already wrote a spec)

Outputs

  • New or updated workflow skill folder:

- workflow-<slug>/SKILL.md - workflow-<slug>/references/workflow-spec.md (SSOT)

References

  • Prompt pack (verbatim prompts): [references/prompt-pack.md](references/prompt-pack.md)
  • Workflow spec template (SSOT): [references/workflow-spec-template.md](references/workflow-spec-template.md)
  • Example generated workflow skill: [references/example-workflow-skill.md](references/example-workflow-skill.md)
  • Example workflow spec (valid): [references/example-workflow-spec.md](references/example-workflow-spec.md)

Process

0) Resolve skills root (deterministic)

Resolve skills_root using this priority:

  1. If user provides repo_root, use it.
  2. Else search upward from the current working directory for:

- <dir>/skills/manifest.json (monorepo layout) -> skillsroot = <dir>/skills/ - <dir>/manifest.json (skills-repo layout) -> skillsroot = <dir>/

1) Create or load workflow_spec.md (SSOT)

If workflowspecpath is not provided:

  1. Call workflow-brainstorm first to converge on:

- core goal (1 sentence) - acceptance criteria (3-7 bullets) - non-goals (1-5 bullets) - constraints (risk preference, timeline) - 5-10 real trigger phrases the user would say

  1. Skill Discovery (REQUIRED) - before finalizing required_skills:

a) Local skills scan: List all potentially relevant skills under skills_root: ``bash ls -1 ~/.claude/skills/ | grep -E "(tool-|review-|workflow-)" `` Identify which local skills could serve steps in the workflow.

b) skills.sh lookup (MANDATORY): Fetch the leaderboard from https://skills.sh/ and identify relevant skills: - Search for keywords related to the workflow goal - Note top skills by install count in relevant categories - Identify 3-5 potentially useful external skills

c) Present findings to user: ``` ## Skill Discovery Results

### Local Skills (available)

Skill Relevance Notes
tool-xxx HIGH ...
review-yyy MEDIUM ...

### External Skills (skills.sh)

Skill Installs Source Relevance
skill-name 10K owner/repo ...

Want to inspect any external skills before deciding? (list numbers or "none") ```

d) If user wants to inspect: fetch skill details from skills.sh page, show SKILL.md content, then ask again.

e) User confirms final skill selection: only then proceed to write spec.

  1. Write a workflow_spec.md using the template in references/workflow-spec-template.md.

2) Validate spec (deterministic)

Run:

python3 scripts/validate_workflow_spec.py /path/to/workflow_spec.md

Fix any validation errors before generating.

3) Resolve skill dependencies

  1. Read requiredskills / optionalskills from the spec.
  2. Check which skills exist locally under skills_root.
  3. If any required skill is missing:

- Stop. - Use the prompt in references/prompt-pack.md to do a skills.sh lookup. - Suggest 2-3 candidates (links + why) and provide install command suggestions, but do not auto-install.

4) Generate/update workflow-<slug>/

  1. Create workflow-<slug>/ under skills_root if missing.
  2. Write SSOT:

- workflow-<slug>/references/workflow-spec.md (copy from the validated spec).

  1. Generate/update workflow-<slug>/SKILL.md:

- Frontmatter name must match directory name (workflow-<slug>). - Frontmatter description must embed the spec triggers (routing fuel). - Include Ship Faster artifact backend selection rules (runs/ vs OpenSpec). - Include the plan-then-confirm execution policy: - Plan stage writes checklist to tasks.md. - Ask user to confirm start. - On confirmation, append an approval record under tasks.md -> ## Approvals (timestamp + scope) and start execution. - Map each chain step to one skill. - Keep the workflow concise: link to other skills for deep details.

5) Basic validation (required)

Run:

python3 scripts/validate_skill_md.py /path/to/workflow-<slug>

If it fails, fix frontmatter/name/line endings until it passes.

Note: The repo also includes skill-creator/scripts/quick_validate.py, but it may require extra Python deps. Use the validator in this skill as the default.