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Agent skill

Wf Composer

by catlog22 in catlog22/Claude-Code-Workflow

Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template.

MITAuto-check: notes

Install Wf Composer

skills CLI
$ npx skills add catlog22/Claude-Code-Workflow --skill wf-composer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install catlog22/Claude-Code-Workflow wf-composer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/catlog22/Claude-Code-Workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/wf-composer .claude/skills/wf-composer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
wf-composer
GitHub stars
2.1k
Token cost
~1.2k tokens
SKILL.md length
379 words
Files
8
Skills in repo
82
Repo updated
First seen
Licence
MIT

At a glance

Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template.

  • Works in 6 steps: Resume / Edit (optional) → Parse → Resolve → …
  • SKILL.md covers Architecture, Shared Constants, Entry Router and Phase 0: Resume / Edit…, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Wf Composer is an agent skill from catlog22/Claude-Code-Workflow. Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template. Triggers on "wf-composer " or "/wf-composer".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files (for example `phases/01-parse.md`, `phases/02-resolve.md` and `phases/03-enrich.md`).

The repository describes itself as: JSON-driven multi-agent cadence-team development framework with intelligent CLI orchestration (Gemini/Qwen/Codex), context-first architecture, and automated workflow execution. The licence is MIT.

Example prompts

  • “wf-composer”
  • “/wf-composer”
  • “/wf-composer”

Requirements

  • Pre-approved tools (allowed-tools): Agent(*), AskUserQuestion(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*)

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Resume / Edit (optional)
  2. Parse
  3. Resolve
  4. Enrich
  5. Confirm
  6. Persist

What it can do on your machine

Read from SKILL.md and the folder at commit 07491b0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Agent(*)
    • AskUserQuestion(*)
    • Read(*)
    • Write(*)
    • Edit(*)
    • Bash(*)
    • Glob(*)
    • Grep(*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Wf Composer loads about 1.2k tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 379 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Agent(*), AskUserQuestion(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*)

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from catlog22/Claude-Code-Workflow at commit 07491b0, republished under its MIT licence (© catlog22). 379 words, ~1,198 tokens.

Download SKILL.mdSave it as .claude/skills/wf-composer/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
wf-composer
description
Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template. Triggers on "wf-composer " or "/wf-composer".
allowed-tools
Agent(*), AskUserQuestion(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*)
argument-hint
[workflow description]

Workflow Design

Parse user's semantic workflow description → decompose into nodes → map to executors → auto-inject checkpoints → confirm pipeline → save as reusable workflow-template.json.

Architecture

User describes workflow in natural language
  -> Phase 1: Parse — extract intent steps + variables
  -> Phase 2: Resolve — map each step to executor (skill/cli/agent/command)
  -> Phase 3: Enrich — inject checkpoint nodes, set DAG edges
  -> Phase 4: Confirm — visualize pipeline, user approval/edit
  -> Phase 5: Persist — save .workflow/templates/<name>.json

Shared Constants

ConstantValue
Session prefixWFD
Template dir.workflow/templates/
Template ID formatwft-<slug>-<date>
Node ID formatN-<seq> (e.g. N-001), CP-<seq> for checkpoints
Max nodes20

Entry Router

Parse $ARGUMENTS.

DetectionConditionHandler
Resume design--resume flag or existing WFD session-> Phase 0: Resume
Edit template--edit <template-id> flag-> Phase 0: Load + Edit
New designDefault-> Phase 1: Parse

Phase 0: Resume / Edit (optional)

Resume design session:

  1. Scan .workflow/templates/design-drafts/WFD-*.json for in-progress designs
  2. Multiple found → AskUserQuestion for selection
  3. Load draft → skip to last incomplete phase

Edit existing template:

  1. Load template from --edit path
  2. Show current pipeline visualization
  3. AskUserQuestion: which nodes to modify/add/remove
  4. Re-enter at Phase 3 (Enrich) with edits applied

Phase 1: Parse

Read phases/01-parse.md and execute.

Objective: Extract structured semantic steps + context variables from natural language.

Success: design-session/intent.json written with: steps[], variables[], task_type, complexity.

Phase 2: Resolve

Read phases/02-resolve.md and execute.

Objective: Map each intent step to a concrete executor node.

Executor types:

  • skill — invoke via Skill(skill=..., args=...)
  • cli — invoke via ccw cli -p "..." --tool ... --mode ...
  • command — invoke via Skill(skill="<namespace:command>", args=...)
  • agent — invoke via Agent(subagent_type=..., prompt=...)
  • checkpoint — state save + optional user pause

Success: design-session/nodes.json written with resolved executor for each step.

Show full SKILL.md (159 more words)Show less

Phase 3: Enrich

Read phases/03-enrich.md and execute.

Objective: Build DAG edges, auto-inject checkpoints at phase boundaries, validate port compatibility.

Checkpoint injection rules:

  • After every skill → skill transition that crosses a semantic phase boundary
  • Before any long-running agent spawn
  • After any node that produces a persistent artifact (plan, spec, analysis)
  • At user-defined breakpoints (if any)

Success: design-session/dag.json with nodes[], edges[], checkpoints[], context_schema{}.

Phase 4: Confirm

Read phases/04-confirm.md and execute.

Objective: Visualize the pipeline, present to user, incorporate edits.

Display format:

Pipeline: <template-name>
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
N-001 [skill]      workflow-lite-plan       "{goal}"
  |
CP-01 [checkpoint] After Plan               auto-continue
  |
N-002 [skill]      workflow-test-fix        "--session N-001"
  |
CP-02 [checkpoint] After Tests              pause-for-user
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Variables: goal (required)
Checkpoints: 2 (1 auto, 1 pause)

AskUserQuestion:

  • Confirm & Save
  • Edit node (select node ID)
  • Add node after (select position)
  • Remove node (select node ID)
  • Rename template

Success: User confirmed pipeline. Final dag.json ready.

Phase 5: Persist

Read phases/05-persist.md and execute.

Objective: Assemble final template JSON, write to template library, output summary.

Output:

  • .workflow/templates/<slug>.json — the reusable template
  • Console summary with template path + usage command

Success: Template saved. User shown: Skill(skill="wf-player", args="<template-path>")

Specs Reference

SpecPurpose
specs/node-catalog.mdAvailable executors, port definitions, arg templates
specs/template-schema.mdFull JSON template schema

© catlog22, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files in .claude/skills/wf-composer of catlog22/Claude-Code-Workflow.

  • SKILL.md
  • phases/01-parse.md
  • phases/02-resolve.md
  • phases/03-enrich.md
  • phases/04-confirm.md
  • phases/05-persist.md
  • specs/node-catalog.md
  • specs/template-schema.md

Open the folder on GitHubat commit 07491b0

Compare with similar skills

Wf Composer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Wf Composer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Wf Composer this skillcatlog22/Claude-Code-Workflow2.1k—~1.2kAutomated safety check: NotesMIT
Natural Writingflutter/flutter179k—~1.9kAutomated safety check: PassBSD-3-Clause
Duplicate Descriptionthedaviddias/Front-End-Checklist74k—~695Automated safety check: PassMIT
Meta Descriptionthedaviddias/Front-End-Checklist74k—~513Automated safety check: PassMIT
Audio Descriptionsthedaviddias/Front-End-Checklist74k—~549Automated safety check: PassMIT
Semantic Liststhedaviddias/Front-End-Checklist74k—~504Automated safety check: PassMIT

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Questions about Wf Composer

What does Wf Composer do?

Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template. Wf Composer is an agent skill from catlog22/Claude-Code-Workflow. Semantic workflow composer — parse natural language workflow description into a DAG of skill/CLI/agent nodes, auto-inject checkpoint save nodes, confirm with user, persist as reusable JSON template.

How do I install Wf Composer in Claude Code?

Run `npx skills add catlog22/Claude-Code-Workflow --skill wf-composer -a claude-code`. Or copy the skill folder (.claude/skills/wf-composer in catlog22/Claude-Code-Workflow) into .claude/skills/wf-composer in your project. Claude Code loads it when a task matches its description.

How do I install Wf Composer in Codex?

Run `npx skills add catlog22/Claude-Code-Workflow --skill wf-composer -a codex`. Or copy the skill folder (.claude/skills/wf-composer in catlog22/Claude-Code-Workflow) into .agents/skills/wf-composer in your project. Codex loads it when a task matches its description.

Can I use Wf Composer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add catlog22/Claude-Code-Workflow --skill wf-composer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/wf-composer, .gemini/skills/wf-composer, .github/skills/wf-composer and .opencode/skills/wf-composer in your project.

What does Wf Composer need to run?

SKILL.md names no scripts, command-line tools or credentials: Wf Composer is instructions for the agent only. Its frontmatter pre-approves these tools: Agent(*), AskUserQuestion(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*).

Does Wf Composer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Wf Composer safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Wf Composer use?

Wf Composer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Wf Composer use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Wf Composer?

Skills that share tags, products or a category with Wf Composer: Natural Writing (flutter/flutter, 179k stars), Duplicate Description (thedaviddias/Front-End-Checklist, 74k stars), Meta Description (thedaviddias/Front-End-Checklist, 74k stars) and Audio Descriptions (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Wf Composer?

catlog22 (a GitHub user) maintains it in catlog22/Claude-Code-Workflow, which has 2,130 GitHub stars. The repository holds 82 skills in this directory. The repository was last updated on June 18, 2026.

Source: catlog22/Claude-Code-Workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.