cm-autopilot
Easy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.
You MUST use this before any creative work or multi-step task. Explores intent and writes execution-ready plans before coding.
$ npx -y skills add tody-agent/codymaster --skill cm-planning --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cm-planningContext preview
The summary Claude sees to decide when to auto-load this skill.
You MUST use this before any creative work or multi-step task. Explores intent and writes execution-ready plans before coding.
name: cm-planning description: "You MUST use this before any creative work or multi-step task. Explores intent and writes execution-ready plans before coding." token_budget: 1500 compressed: true deprecated: false
1. Ask only questions that change scope or architecture. State assumptions and mark each `verified` or `needs confirmation`. 2. Present 2–3 approaches with concrete tradeoffs and recommend one. 3. Separate must-have, optional, handled edges, and explicit non-goals. 4. Map data flow, file responsibilities, public interfaces, and dependencies. UI work also uses `cm-design-system`.
Stop if intent, ownership, or an interface is ambiguous. Do not silently choose an interpretation.
Create `design.md` with context, chosen architecture, file map, interfaces, risks, and verification strategy. Create `tasks.md` using the template below.
A task is the smallest independently testable deliverable that a reviewer can approve or reject without deciding another task. Each task owns a complete red–green cycle and ends at a commit boundary. Fold setup, configuration, migrations, and documentation into the deliverable that needs them; never create empty setup-only or docs-only tasks.
Each step is exactly one 2–5 minute action: write one failing test, run it and observe the expected failure, add minimal implementation, run it and observe the pass, then commit. Never use 15–30 minute checklist items.
### Task 1: Validate rich plan handoffs
**Goal:** Reject incomplete task specs while preserving legacy `plan@1` payloads.
**Deliverable:** A validator and focused tests that can pass review independently.
**Files:**
- Modify: `src/handoff/io.ts`
- Test: `test/handoff.test.ts`
**Dependencies:** Existing `validateHandoff(obj: unknown)` behavior.
**Interfaces:** Produces optional `PlanHandoff.data.task_specs`; consumes `PlanTaskSpec`.
**Acceptance criteria:** A complete rich handoff round-trips; a missing `deliverable` is rejected; a legacy handoff remains valid.
- [ ] **Step 1 — Write the failing validation test** in `test/handoff.test.ts` with `expect(() => validateHandoff(fixture)).toThrow(/missing key: deliverable/)`.
- [ ] **Step 2 — Prove RED.** Run `npx vitest run test/handoff.test.ts`. Expected: FAIL at `rejects incomplete rich plan task specs` because no error is thrown.
- [ ] **Step 3 — Implement the minimum validation** in `src/handoff/io.ts` for required rich-task fields without changing legacy required keys.
- [ ] **Step 4 — Prove GREEN.** Run `npx vitest run test/handoff.test.ts`. Expected: PASS, all handoff tests and zero failures.
- [ ] **Step 5 — Commit boundary.** Run `git add src/handoff/io.ts test/handoff.test.ts && git commit -m "feat: validate rich plan handoffs"`.
````
Every task must specify: goal, independently reviewable deliverable, exact create/modify/test paths, dependencies, consumed/produced interfaces with exact names and types, literal acceptance criteria, step-level test phase, exact command and expected result, and commit boundary. Repeat context needed by a fresh agent; never require it to reread the full plan.
## No Placeholders
Never write `TODO`, `TBD`, “add tests,” “handle edge cases,” “appropriate error handling,” “similar to Task N,” or an undefined type/function. Code steps include the concrete code or signature; verification steps include the exact command and observable evidence.
## Self-Review Before Handoff
1. **Coverage:** map every requirement and non-goal to a task; add any missing coverage.
2. **Placeholder scan:** search `tasks.md` for every banned phrase above and replace vague instructions.
3. **Interface/type consistency:** compare all produced and consumed names, signatures, field names, and task dependencies.
4. **Boundaries:** confirm every task has its own deliverable, test cycle, review decision, and commit; merge setup/docs fragments into their owning task.
Fix findings inline before emitting the handoff.
## Emit Handoff + Continuity
Write `.cm/handoff/plan.json`:
```json
{
"schema": "plan@1",
"emitted_at": "2026-08-04T00:00:00.000Z",
"emitted_by": "cm-planning",
"data": {
"goal": "Validate execution-ready plan handoffs",
"decisions": ["Keep task_specs optional for plan@1 compatibility"],
"first_tasks": ["1.1"],
"openspec_path": "openspec/changes/rich-plan-handoff/",
"task_specs": [{
"id": "1.1",
"goal": "Validate complete task specifications",
"deliverable": "A backward-compatible validator with focused coverage",
"files": [
{ "path": "src/handoff/io.ts", "action": "modify" },
{ "path": "test/handoff.test.ts", "action": "modify" }
],
"dependencies": ["validateHandoff(obj: unknown)"],
"interfaces": {
"consumes": ["PlanTaskSpec from src/handoff/contracts.ts"],
"produces": ["PlanHandoff.data.task_specs?: PlanTaskSpec[]"]
},
"acceptance_criteria": ["Rich handoffs round-trip and legacy handoffs remain valid"],
"steps": [
{
"id": "1.1.1",
"action": "Add the failing incomplete-task validation test",
"files": ["test/handoff.test.ts"],
"test_cycle": {
"phase": "red",
"command": "npx vitest run test/handoff.test.ts",
"expected_result": "FAIL because incomplete task_specs are accepted"
}
},
{
"id": "1.1.2",
"action": "Impleme"I can't write code. But in 6 months, I shipped 12 real products using AI. CodyMaster is everything I learned — so you don't have to repeat my mistakes." — Tody Le, Head of Product, Creator of CodyMaster 50+ skills. One install.
Repo: tody-agent/codymaster
Easy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.
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