yolo

# Yolo Skill

Full-auto AI-DLC pipeline. User provides a prompt; agent drives the entire lifecycle: Idea -> Elaboration -> Proposal -> Review -> Execute -> Verify -> Done.

---

## Overview

`/yolo` automates the complete AI-DLC workflow. You provide a natural language description of what you want built, and the agent handles everything:

1. **Planning** -- create project, idea, self-elaboration, proposal with docs & tasks
2. **Proposal Review** -- proposal-reviewer adversarial loop
3. **Execution** -- wave-based Agent Team parallel task dispatch
4. **Verification** -- task-reviewer adversarial loop + admin verify
5. **Report** -- completion summary

```
/yolo <prompt>
       |
       v
  Project + Idea + Elaboration + Proposal
       |
       v
  Proposal Reviewer (auto, up to maxProposalReviewRounds)
       |
       v
  Admin Approve --> Tasks materialize
       |
       v
  Wave-based Agent Team execution
       |  (dev agent + task-reviewer per task)
       v
  Admin Verify each wave --> unblock next
       |
       v
  Done. Report summary.
```

**Escape hatch:** Ctrl+C at any time. All created entities (project, idea, proposal, tasks) persist in Chorus. Resume manually via `/develop` or `/review`.

---

## Prerequisites

The API key needs write + admin on every resource it touches:

| Needs | Why |
|------|-----|
| `idea: [write]` | Create ideas, run elaboration |
| `proposal: [write, admin]` | Create proposals; approve them |
| `task: [write, admin]` | Create, execute, verify tasks |
| `project: [write]` | Create the project if none is given |

**Check at startup:**

```
perms = chorus_checkin().agent.permissions
need = { idea: ["write"], proposal: ["write","admin"],
         task: ["write","admin"], project: ["write"] }

for resource, actions in need:
  missing = [a for a in actions if a not in (perms[resource] or [])]
  if missing: ABORT "/yolo needs {resource}: {missing}. Use an Admin-preset API key."
```

---

## Input

```
/yolo <natural language prompt>
/yolo <prompt> --project <project-uuid>
```

- `<prompt>` -- what you want built (becomes the Idea content)
- `--project <uuid>` -- optional; use an existing project instead of creating a new one

---

## Workflow

### Phase 1: Planning

#### Step 1.1: Resolve Project

Parse the arguments for `--project <uuid>`.

**If `--project` is provided:**
```
chorus_get_project({ projectUuid: "<uuid>" })
```
Verify it exists and proceed.

**If not provided**, search for a suitable existing project first:
```
# 1. Search for projects matching the prompt topic
chorus_search({ query: "<key terms from prompt>", entityTypes: ["project"] })

# 2. Or list recent projects to find a match
chorus_list_projects()
```

Review the results. If a project clearly matches the user's intent (same topic, active, relevant scope), use it. If no suitable project exists, create a new one:
```
chorus_admin_create_project({
  name: "<short title derived from prompt>",
  description: "<1-2 sentence summary of the prompt>"
})
```

#### Step 1.2: Create Idea

```
chorus_pm_create_idea({
  projectUuid: "<project-uuid>",
  title: "<concise title derived from prompt>",
  content: "<full user prompt as-is>"
})
```

Then claim it:
```
chorus_claim_idea({ ideaUuid: "<idea-uuid>" })
```

#### Step 1.3: Self-Elaboration

In /yolo mode, the agent generates elaboration questions and answers them itself -- no `AskUserQuestion` calls. This preserves an audit trail without interrupting the user.

> **Self-elaboration is still a loop.** If answering your own questions surfaces a **new question, contradiction, or gap**, loop back to `chorus_pm_start_elaboration` for another self-answered round before resolving — don't force a resolve over unresolved ambiguity. There is no human gate in YOLO, so the loop exits on **your** judgment that nothing material is left open (round cap 10). Steps 1–2 are one round; repeat them as needed, then resolve once in Step 3.

1. **Generate and submit questions:**
   ```
   chorus_pm_start_elaboration({
     ideaUuid: "<idea-uuid>",
     depth: "standard",
     questions: [
       {
         id: "q1",
         text: "<question about scope, architecture, etc.>",
         category: "functional",
         options: [
           { id: "a", label: "<option A>" },
           { id: "b", label: "<option B>" }
         ]
       }
       // ... 5-8 questions covering functional, technical, scope aspects
     ]
   })
   ```

2. **Answer immediately** (agent selects best options based on the prompt):
   ```
   chorus_answer_elaboration({
     ideaUuid: "<idea-uuid>",
     roundUuid: "<round-uuid>",
     answers: [
       { questionId: "q1", selectedOptionId: "a", customText: "Rationale: ..." },
       // ...
     ]
   })
   ```

3. **Resolve** — in YOLO mode the agent resolves elaboration **autonomously, with no human-confirmation gate** (the human-confirmation requirement that applies to the interactive `/idea` flow is explicitly waived under `/yolo` automation):

   ```
   chorus_pm_validate_elaboration({
     ideaUuid: "<idea-uuid>"
   })
   ```

   > `chorus_pm_validate_elaboration` requires `idea:admin`. `/yolo` already mandates an Admin-preset key in Prerequisites, so this is satisfied. To open another self-elaboration round instead of resolving, just call `chorus_pm_start_elaboration` again.

#### Step 1.4: Create Proposal

1. **Detect OpenSpec mode.** Load the `openspec-aware` skill at `.claude/skills/openspec-aware/SKILL.md` and run its §1 detection contract. The result determines how the rest of this step authors documents:

   - `CHORUS_OPENSPEC_ACTIVE=1` → spec-driven branch (sub-step 2a below).
   - `CHORUS_OPENSPEC_ACTIVE=0` → free-form branch (sub-step 2b below).

   This is mandatory — yolo runs unattended, so silently picking the wrong mode is exactly the failure scenario the detection contract exists to prevent.

2. **Create the empty proposal container.** In OpenSpec mode, the `description` MUST contain the literal line `OpenSpec change slug: