plan-swarm

name	plan-swarm
description	Socratic planning interview for swarm decomposition
triggers	["plan swarm","plan stories","decompose stories","scope swarm","socratic plan"]

Plan Swarm

Recommended model tier: smart (opus) - this skill requires careful reasoning

Structured planning interview to decompose work into independent stories before running a swarm.

Quick Reference

plan swarm                → Full interview workflow (recommended)
plan swarm --fast         → Skip interview, state assumptions, decompose directly

Workflow

Phase 1: Understand

Explore the codebase and existing context before asking questions.

1. Read existing decisions via mcp__plugin_aide_aide__decision_list and mcp__plugin_aide_aide__decision_get
2. Search memories via mcp__plugin_aide_aide__memory_search for relevant past context
3. Explore the codebase — read key files, understand architecture, identify boundaries
4. Identify the scope — what is the user asking for? What are the natural boundaries?

Do NOT ask questions yet. Build understanding first.

Phase 2: Interview

Conduct 2-3 rounds of focused questions. Each round has 2-4 questions. Max 3 rounds total.

Round 1: Scope & Boundaries

• What is in scope vs out of scope?
• What are the success criteria?
• Are there any constraints (time, tech, compatibility)?

Round 2: Dependencies & Risks

• What shared state or files will multiple stories touch?
• What could go wrong? What are the risky parts?
• Are there external dependencies (APIs, services, data)?

Round 3: Acceptance Criteria (if needed)

• How will we know each story is done?
• What tests should exist?
• What does "good enough" look like?

Use the AskUserQuestion tool for each round. Summarize what you've learned before asking the next round.

Fast mode (plan swarm --fast): Skip this phase. State your assumptions explicitly, then proceed directly to Phase 3.

Phase 3: Decompose

Output a structured story list. Each story must be:

• Independent — can be developed in parallel without conflicting file edits
• Complete — has clear boundaries and acceptance criteria
• Testable — has concrete verification steps

Story format:

## Stories

### 1. [Story Name]

- **Description**: What this story implements
- **Files**: List of files this story will create or modify
- **Acceptance Criteria**:
  - [ ] Criterion 1
  - [ ] Criterion 2
- **Risk**: low | medium | high
- **Notes**: Any special considerations

### 2. [Story Name]

...

Independence check: Verify that no two stories modify the same file. If they do, either:

1. Merge the stories
2. Restructure so each story owns its files
3. Sequence them (one blocks the other)

Phase 4: Validate & Store

1. Present the plan to the user for review
2. Store as decision once approved:

   ./.aide/bin/aide decision set "swarm-plan" "<N> stories: <story-1>, <story-2>, ..." \
     --details='<JSON object>' \
     --rationale="<brief description of scope and approach>"
   

3. Record shared decisions discovered during planning:

   ./.aide/bin/aide decision set "<topic>" "<decision>"
   

Binary location: The aide binary is at .aide/bin/aide. If it's on your $PATH, you can use aide directly.

4. Instruct the user: Run /aide:swarm to execute the plan

Note on task materialization: The plan is stored as a decision, not as tasks. The /aide:swarm skill reads the plan and materializes tasks at execution time:

• Claude Code: Each story agent creates native tasks (TaskCreate) with blockedBy dependency chaining for SDLC stages.
• OpenCode: The orchestrator creates aide tasks (task_create MCP tool) for all SDLC stages upfront, and story agents claim them.

Output Format

The stored swarm-plan decision should be a JSON object:

{
  "stories": [
    {
      "name": "story-name",
      "description": "What it does",
      "files": ["src/foo.ts", "src/bar.ts"],
      "acceptance": ["criterion 1", "criterion 2"],
      "risk": "low",
      "notes": ""
    }
  ],
  "shared_decisions": ["auth-strategy", "db-schema"],
  "assumptions": ["Node 20+", "existing test framework"],
  "created": "ISO timestamp"
}

Tips

• Fewer stories is usually better. 2-4 stories is ideal for most tasks.
• Each story should take roughly similar effort.
• If a story is too large, split it. If it's too small, merge it.
• Stories that share database migrations or config files should be sequenced, not parallelized.
• The plan is a starting point. The swarm skill will adapt if needed.