pi-subagents
Delegate work to builtin or custom subagents with single-agent, chain, parallel, async, forked-context, and intercom-coordinated workflows. Use for advisory review, implementation handoffs, and multi-step tasks where a single agent should stay in control while other agents contribute context, planning, or execution.
What this skill does
# Pi Subagents
This skill is for the main parent orchestrator only. Do not inject or follow it inside spawned child subagents. The parent session owns delegation, orchestration, review fanout, and final fix-worker launches; child subagents should receive concrete role-specific tasks and should not run their own subagent workflows.
Use this skill when the parent orchestrator needs to launch a specialized subagent, compose multiple agents into a workflow, or create/edit agents and chains on demand.
## When to Use
- **Advisory review**: use fresh-context `reviewer` agents for adversarial code review, or fork to `oracle` when inherited decisions and drift matter
- **Implementation handoff**: have `oracle` advise, then `worker` implement only after an approved direction
- **Recon and planning**: use `scout` or `context-builder`, then `planner`
- **Parallel exploration**: run multiple non-conflicting tasks concurrently
- **Long-running work**: launch async/background runs and inspect them later
- **Subagent control**: watch needs-attention signals and soft-interrupt only when a delegated run is genuinely blocked
- **Agent authoring**: create, update, or override agents and chains for a project
## Tool vs Slash Commands
Agents can use the `subagent(...)` tool directly for execution, management, status, and control.
Humans often use the slash-command layer instead:
- `/run` — launch a single agent
- `/chain` — launch a chain of steps
- `/parallel` — launch top-level parallel tasks
- `/run-chain` — launch a saved `.chain.md` workflow
- `/subagents-doctor` — diagnose setup, discovery, async paths, and intercom bridge state
Prefer the tool when you are writing agent logic. Prefer the slash commands when
you are guiding a human through an interactive flow.
Packaged prompt shortcuts are also available for repeatable workflows. Treat them as reusable orchestration recipes, not just human slash commands. When the user asks for one of these shapes, or when the workflow clearly fits, apply the same pattern directly with `subagent(...)` and other tools:
- `/parallel-review` — fresh-context reviewers with distinct review angles, then synthesis
- `/review-loop` — parent-orchestrated worker, fresh-reviewer, and fix-worker cycles until clean or capped
- `/parallel-research` — combine `researcher` and `scout` for external evidence plus local code context
- `/parallel-context-build` — parallel `context-builder` passes that produce planning handoff context and meta-prompts
- `/parallel-handoff-plan` — external-reference research plus local `context-builder` passes, followed by a synthesis handoff plan and implementation-ready meta-prompt
- `/gather-context-and-clarify` — scout/research first, then ask the user clarifying questions with `interview`
- `/parallel-cleanup` — two fresh-context reviewers (deslop + verbosity passes) for an adversarial cleanup review of the current diff
## Applying Prompt Techniques Without Slash Commands
The prompt templates in `prompts/` encode workflows the parent agent can run on demand. If the user provides a URL, issue, PR, plan, local file, screenshot, or freeform target, treat that target as the primary scope: read or fetch it before launching children, then include it explicitly in every child task. Do not depend on the parent conversation history when the recipe calls for fresh context.
### Parallel review technique
Use this when the user wants adversarial review of a diff, plan, issue, file, or implemented work. Launch fresh-context `reviewer` agents with distinct angles generated from the actual target. Common angles are correctness/regressions, tests/validation, and simplicity/maintainability; adapt for TypeScript, UI, security, docs, or large structural changes. Reviewers should inspect files and diffs directly, return concise evidence-backed findings with file/line references, and avoid edits unless the user explicitly asks for a writer pass. The parent synthesizes fixes worth doing now, optional improvements, and feedback to ignore/defer before applying anything.
### Review-loop technique
Use this when the user wants implementation or current diff review to continue until reviewers stop finding fixes worth doing now. Keep the loop in the parent session: one async `worker` implements or fixes, fresh-context `reviewer` agents inspect the actual repo and diff, the parent synthesizes accepted fixes, and one async forked `worker` applies them. The parent can express the sequence up front as an async/background chain when the workflow is known, or continue with explicit follow-up subagent runs after each async completion. For an initial chain, pass `async: true` so the main chat is unblocked; do not set `clarify: true` unless the user explicitly wants the foreground clarify UI. Treat an async implementation worker handoff as an intermediate state, not final completion, unless the user explicitly asked for worker-only work, review-only output, or to stop after implementation. Stop when reviewers find no blockers or fixes worth doing now, remaining feedback is optional or deferred, an unapproved product/scope/architecture decision appears, or the max review-round cap is reached. Default to 3 review rounds unless the user sets a different cap. Do not loop for optional polish, and do not let children launch subagents or decide the loop outcome.
### Parallel research technique
Use this when the question needs both external evidence and local implications. Combine `researcher` for official docs, specs, ecosystem behavior, recent changes, benchmarks, and primary sources with `scout` for repository files, patterns, constraints, tests, and likely integration points. Give each child a distinct angle: external evidence, local code context, and practical tradeoffs. Ask for source links or file ranges, confidence level, gaps, and decision implications. Do not ask these children to edit unless implementation was explicitly requested.
### Parallel context-build technique
Use this before planning or implementation when a stronger handoff is needed. Run a chain with one parallel step of `context-builder` agents rather than top-level parallel tasks, so relative output files live under the temporary chain directory. Give every task a distinct output path such as `context-build/request-and-scope.md`, `context-build/codebase-and-patterns.md`, and `context-build/validation-and-risks.md`. Choose two or three builders: request/scope, codebase/patterns, and validation/risks. Each builder must read every relevant file needed to understand its slice, follow imports/callers/tests/docs/config, conduct tool-available web research when needed, and include a compact `meta-prompt` section. The parent synthesizes the outputs into important context, recommended next meta-prompt, open questions, assumptions, and artifact paths.
Example shape:
```typescript
subagent({
chain: [{
parallel: [
{ agent: "context-builder", task: "Build request/scope context for: ...", output: "context-build/request-and-scope.md" },
{ agent: "context-builder", task: "Build codebase/pattern context for: ...", output: "context-build/codebase-and-patterns.md" },
{ agent: "context-builder", task: "Build validation/risk context for: ...", output: "context-build/validation-and-risks.md" }
]
}],
context: "fresh"
})
```
### Parallel handoff-plan technique
Use this when the user needs a solution brief or implementation-ready handoff from an external reference plus local code context, such as “study this library behavior, inspect our codebase, then produce a worker prompt.” Run a chain with a first parallel group and a second synthesis `context-builder` step. The first group usually includes `researcher` for external projects/docs/prompt guidance and `context-builder` for local code context; add a second `context-builder` for implementation strategy only when the scope is large enough to benefit. Use distinct output paths under `handoff/`, then have thRelated in AI Agents
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