6.5 KiB
name, description
| name | description |
|---|---|
| plan | Planning workflow. Runs a pre-flight scout, then spawns the planner agent which clarifies WHAT to build and figures out HOW, with the ability to spawn its own scouts/researchers mid-session. Use when asked to "plan", "brainstorm", "I want to build X", or "let's design". Requires the subagents extension and a supported multiplexer (cmux/tmux/zellij). |
Plan
A planning workflow. A scout maps the relevant codebase, then an interactive planner clarifies intent + requirements and designs the technical approach, producing a plan.md and todos.
Announce at start: "Let me take a quick look, then I'll send a scout to map the codebase before we start the planning session."
The Flow
Phase 1: Quick Assessment (main session — 30s orientation)
↓
Phase 2: Scout (autonomous — codebase context)
↓
Phase 3: Spawn Planner Agent (interactive — clarifies WHAT, plans HOW, creates todos)
↓
(Planner may spawn its own scouts/researchers mid-session as needed)
↓
Phase 4: Review Plan & Todos (main session)
↓
Phase 5: Execute Todos (workers — receive plan + scout context)
↓
Phase 6: Review
Phase 1: Quick Assessment
Quick orientation — just enough to give the scout a focused mission:
ls -la
find . -type f -name "*.ts" | head -20 # or relevant extension
cat package.json 2>/dev/null | head -30
Spend ~30 seconds. Tech stack, project shape, and the area relevant to the user's request. This tells you what to ask the scout to focus on.
Artifact Paths
For a planning run, pick a short <name> (e.g. auth-redesign) and use a shared directory under .pi/plans/YYYY-MM-DD-<name>/ for every deliverable. Pass explicit paths in each subagent's task and read them back with the plain read tool when a subagent finishes.
Standard filenames:
.pi/plans/YYYY-MM-DD-<name>/scout-context.md.pi/plans/YYYY-MM-DD-<name>/plan.md.pi/plans/YYYY-MM-DD-<name>/review.md(optional, for reviewer output)
Phase 2: Scout
Always spawn a scout before the planner. The scout's context feeds into the planning session — it lets the planner skip re-asking questions whose answers live in the code, and gives it a solid base to design from.
subagent({
name: "🔍 Scout",
agent: "scout",
task: `Analyze the codebase for [user's request area]. Map file structure, key modules, patterns, conventions, and existing code related to [feature area]. Focus on what a planner would need to understand before designing this feature.
Save your findings to: .pi/plans/YYYY-MM-DD-<name>/scout-context.md`,
});
Wait for the scout to finish. Read the scout's context file with the read tool — you'll pass it to the planner.
The planner can spawn additional scouts or researchers mid-session if it hits a factual gap. That's expected — don't try to pre-scout every possible area.
Phase 3: Spawn Planner Agent
Spawn the interactive planner with the scout's context and the user's request. The planner handles everything from here: clarifying intent, compact requirements engineering, ISC, approach exploration, design validation, premortem, plan artifact, and todos.
subagent({
name: "💬 Planner",
agent: "planner",
interactive: true,
task: `Plan: [what the user wants to build]
Scout context:
[paste scout findings here — file structure, conventions, patterns, relevant code]
Save the final plan to: .pi/plans/YYYY-MM-DD-<name>/plan.md
Create todos tagged with: <name>`,
});
The user works with the planner. It will clarify requirements lightly (1-2 rounds of questions, not a deep spec session), propose approaches, validate the design, run a premortem, write the plan, and create todos with mandatory code examples.
When done, the user presses Ctrl+D and the plan + todos are returned to the main session.
The planner may spawn its own specialists
During the session, the planner can spawn:
scout— when a design decision depends on existing code it hasn't readresearcher— when a decision depends on external facts (library tradeoffs, best practices, API behaviors)
These are internal to the planning session. You'll see them in the multiplexer but don't need to intervene.
Optional: extra scout after planning
If the planner significantly changed scope (new subsystems, areas the original scout didn't cover), spawn another scout targeting the new areas before workers start:
subagent({
name: "🔍 Scout (updated scope)",
agent: "scout",
task: "The plan changed scope. Gather context for [new areas]. Read the plan at [plan path]. Focus on [specific files/modules the planner identified that weren't in the original scout].",
});
Fold the new context into the worker tasks.
Phase 4: Review Plan & Todos
Once the planner closes, read the plan and list todos:
todo({ action: "list" });
Review with the user:
"Here's what the planner produced: [brief summary]. Ready to execute, or anything to adjust?"
Phase 5: Execute Todos
Spawn workers sequentially. Each worker gets the plan path and scout context:
// Workers execute todos sequentially — one at a time
subagent({
name: "🔨 Worker 1/N",
agent: "worker",
task: "Implement TODO-xxxx. Mark the todo as done. Plan: [plan path]\n\nScout context: [paste scout summary from Phase 2, plus any re-scout from Phase 3]",
});
// Check result, then next todo
subagent({
name: "🔨 Worker 2/N",
agent: "worker",
task: "Implement TODO-yyyy. Mark the todo as done. Plan: [plan path]\n\nScout context: [paste scout summary]",
});
Always run workers sequentially in the same git repo — parallel workers will conflict on commits.
Phase 6: Review
After all todos are complete:
subagent({
name: "Reviewer",
agent: "reviewer",
interactive: false,
task: "Review the recent changes. Plan: [plan path]",
});
Triage findings:
- P0 — Real bugs, security issues → fix now
- P1 — Genuine traps, maintenance dangers → fix before merging
- P2 — Minor issues → fix if quick, note otherwise
- P3 — Nits → skip
Create todos for P0/P1, run workers to fix, re-review only if fixes were substantial.
⚠️ Completion Checklist
Before reporting done:
- ✅ Scout ran before the planner?
- ✅ Scout context was passed to the planner?
- ✅ All worker todos closed?
- ✅ Every todo has a polished commit (using the
commitskill)? - ✅ Reviewer has run?
- ✅ Reviewer findings triaged and addressed?