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---
name: wf-compose
description: "Propose a weft workflow from conversation context. Scans skills, identifies gaps, builds template with loops."
argument-hint: "[description] [--from template-name]"
allowed-tools: [Bash, Read, Write, Glob, Grep]
---
# Compose a Weft Workflow
Read the conversation context, scan available skills, identify gaps, and propose a v2 workflow template with loops and skill blocks.
## Arguments
$ARGUMENTS
## Modes
| Usage | Behavior |
|-------|----------|
| `/wf-compose "review, fix, iterate until clean"` | One-shot: propose from description |
| `/wf-compose` (no args) | Interactive: ask "What are you trying to accomplish?" |
| `/wf-compose --from feature-workflow` | Start from existing template, modify based on context |
## Step 1: Gather Context
Understand what the user is trying to do:
1. Review the recent conversation for intent (what task, what repo, what outcome).
2. Check git state:
```bash
git branch --show-current 2>/dev/null
git diff --stat 2>/dev/null | tail -5
```
3. Check if a weft workflow is already active:
```bash
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" status 2>/dev/null
```
4. If `--from <template>` was provided, load it as the starting point:
```bash
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" preview <template>
```
## Step 2: Scan Skill Registry
Build a map of what skills are available:
1. Read the local skills registry, if any (path varies by setup):
```bash
cat "${CLAUDE_SKILLS_REGISTRY:-$HOME/.claude/skills-registry.json}" 2>/dev/null
```
2. List weft templates:
```bash
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" start
```
3. Categorize skills by function (examples — substitute what you have available):
- **Review**: staff-review, arch-review, code-review, differential-review
- **Fix/Polish**: fix-polish, refactor, simplify
- **Test**: infra-test, webapp-testing
- **Plan**: aot-plan, spec-first
- **Research**: perplexity, context7, research-loop
- **Deploy**: deploy-service, pr-ready
## Step 3: Gap Analysis
Compare what the user described against available skills:
1. Extract skill references from the user's description (explicit names like "/staff-review" or implicit like "review code", "test it", "deploy").
2. For each referenced skill, check if it exists in the registry.
3. For missing skills, present options:
```
Missing skill: /devils-advocate
Options:
1. Create a stub skill (I'll generate a skeleton)
2. Use /staff-review instead (similar purpose)
3. Skip this step
```
4. Wait for user choice on each gap before proceeding.
## Step 4: Generate Template
Build a v2 template JSON:
1. Map each step in the user's described workflow to a template step.
2. For each step, set:
- `name`: kebab-case identifier
- `skill`: the matching skill name (e.g., "/staff-review"), or null if manual
- `on_fail`: "retry" for review/test steps, "block" for critical gates, "continue" for optional steps
- `guards`: add logical guards (e.g., no `git push` before review)
- `description`: one-line summary of what the step does
3. For iterative segments (user said "until", "repeat", "loop", "iterate"):
- Identify the loop boundary (which steps repeat)
- Set `loop_back_to` on the last step of the loop, pointing to the first
- Set `max_iterations` (default 3, or what the user specified)
- Set `exit_condition` from the user's description (natural language)
4. Add `schema_version: 2` to the template root.
## Step 5: Present to User
Show the proposed workflow in two formats:
### ASCII Diagram
Draw the workflow as a flow diagram showing loops:
```
┌────────────┐ ┌───────────────┐ ┌─────────────┐
│ review │────>│ fix-issues │────>│ run-tests │
│ /staff-rev │ │ /fix-polish │ │ │
└────────────┘ └───────────────┘ └──────┬──────┘
^ │
│ ↻ until clean (max 3) │
└─────────────────────────────────────────┘
│ done
v
┌─────────────┐
│ ship │
│ /pr-ready │
└─────────────┘
```
For linear segments, use a simple arrow chain:
```
setup ──> plan ──> implement ──> verify
```
### JSON Preview
Show the full template JSON, formatted for readability.
### Prompt
Ask the user:
```
Approve this workflow? (approve / edit / cancel)
- approve: Save template and optionally start it
- edit: Describe what to change
- cancel: Discard
```
## Step 6: Save and Start
On **approve**:
1. Save the template:
```bash
echo '<json>' | python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" save-template
```
2. Ask: "Start this workflow now? (y/n)"
3. If yes: invoke `/wf-start <template-name>`
On **edit**:
1. Ask what to change
2. Modify the template
3. Go back to Step 5 (re-present)
On **cancel**:
1. Discard and confirm
## Design Rules
- Every step with a matching skill gets a `skill` field. This is metadata — Claude reads it from context.md and knows which skill to invoke.
- Loops are defined by `loop_back_to` on the last step of the repeating segment. The state machine handles the rest.
- `exit_condition` is evaluated by Claude (natural language), not by scripts. Keep conditions specific and observable: "no MEDIUM+ issues" not "code is good enough".
- `max_iterations` defaults to 3. If the user says "until done" without a cap, set it to 5 and note the cap.
- Guards should prevent premature actions: no `git push` before review, no deploy before tests.
- Template names are kebab-case. If the user doesn't name it, derive from the description.