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Pi Delegate

Free

Delegate coding tasks to Pi and review the results.

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Free · Opens the source repo

What Pi Delegate does

Pi Delegate allows you to efficiently manage coding tasks by delegating them to the Pi coding agent CLI. This skill is designed for developers who want to streamline their workflow by offloading implementation work while maintaining control over the final output. You act as the orchestrator, writing briefs for the tasks you want Pi to handle, and then reviewing the changes it makes before committing them to your project. This process ensures that you remain the decision-maker while leveraging Pi's capabilities to execute coding tasks in the background.

The workflow involves writing a detailed brief that outlines the task, including the current state of the code, specific changes needed, and any elements that should remain untouched. Once the brief is ready, you dispatch it to Pi using a simple shell command. Pi processes the brief and produces a result that you can review, ensuring that it aligns with your expectations and project standards. The skill is particularly useful for larger tasks that would otherwise be cumbersome to handle inline, allowing you to focus on higher-level project management while Pi takes care of the implementation.

This skill is ideal for developers who frequently work with the Pi coding agent and want to delegate tasks without losing oversight. It is particularly beneficial in collaborative environments where multiple coding tasks need to be managed simultaneously. By using Pi Delegate, you can maintain a clear separation between task delegation and code review, ensuring that you have the final say on what gets committed to the repository.

However, it's important to note that this skill is not suitable for small tasks that can be easily handled inline, as the overhead of delegation may outweigh the benefits. Additionally, users must ensure that the Pi CLI is installed and authenticated before using this skill, as it relies on the proper setup to function effectively.

When to use it

Use Pi Delegate when you have larger coding tasks that you want to assign to Pi while retaining control over the review and commit process.

When not to use it

Avoid using this skill for small tasks that can be handled inline or when you need a sandboxed environment for code execution.

What you can build with it

Delegating a Feature Implementation

When working on a new feature, you can delegate the implementation to Pi while you focus on other aspects of the project.

Managing Multiple Tasks

If you have several coding tasks, you can use Pi Delegate to run them through Pi in the background, allowing you to review and commit them as they complete.

Code Refactoring

For refactoring tasks, you can delegate the changes to Pi and review the diff to ensure it meets your project's requirements before landing the changes.

How to install Pi Delegate

View source

1. Install with the skills CLI

npx skills add amelnagdy/delegate-skills/pi-delegate --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by amelnagdy

Pi Delegate

You are the orchestrator. Delegate a bounded coding task to a separate implementer - the Pi coding agent CLI - then review what it produced and land it yourself. You write the brief and own the judgment; the implementer makes changes in its own session; you verify and commit.

The loop needs only a shell command and file access, so any comparable orchestrator can drive it.

When NOT to use this

  • The task is small enough to do inline; delegation overhead is not worth it.
  • The pi CLI is not installed or authenticated.
  • You need a sandboxed implementer. Pi has no sandbox and no permission modes; --read-only restricts the tool surface, but a write-capable run executes without prompts.

Prerequisites (check once)

  1. Install pi with npm install -g @earendil-works/pi-coding-agent.
  2. Authenticate: /login inside pi for a subscription provider, or an API-key environment variable / pi's auth file for an API-key provider.
  3. Confirm pi --version succeeds.
  4. Work in, or point --cd at, the target git repository.

Choose the model (optional)

Omit --model to use pi's configured default. To pick another, choose from pi --list-models and pass an explicit id or pattern like <provider>/<model-id> or sonnet:high. The relay accepts letters, digits, and . _ : / - only (the value reaches a shell on Windows), so glob patterns with * are not forwarded.

The loop

Run these five steps per task. Steps 1, 4, and 5 require judgment; 2 and 3 are mechanical.

1. Write the brief

Pi sees only the text you send plus what it can inspect in the workspace - no chat history or shared context. Include the goal, current state, what to change, what to leave untouched, the project's actual gates, and a report contract. Tell pi not to commit. Keep one task per brief. Pi auto-loads AGENTS.md/CLAUDE.md context files from the workspace and its parents, so repo instructions reach it without inlining. See references/writing-the-brief.md.

2. Dispatch

Use the bundled relay. It pipes the brief to pi --mode json on stdin, captures the JSON event stream, and writes result.json. (<skill-dir> is the installed folder containing this SKILL.md.)

node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo
# choose a model:                          add --model <id from pi --list-models>
# choose a provider:                       add --provider <name>
# read-only run (review/diagnosis):        add --read-only
# trust project .pi resources:             add --approve
# resume the most recent session:          add --resume-last  (delta brief only)
# resume a specific session:               add --session <id> (delta brief only)
# hard time limit (watchdog):              add --timeout 2h  (the 30m default suits short runs; implementation briefs routinely need 1-2h)
# see all options:                         node .../relay.mjs --help

The child process's cwd pins the workspace. The relay writes artifacts under the system temp dir by default and never commits. See references/dispatch-and-poll.md.

3. Wait for completion

The relay blocks until pi finishes. Run it with the orchestrator's background-command facility, or background it in the shell and poll for result.json. A pre-run usage error exits 2 and writes no result; a missing pi exits 127 and writes status: "pi_unavailable".

Trust process state and the working tree over a progress display. Completion means the process exited and result.json exists. Pi's full report is the finalMessage field in result.json (also printed in full on stdout between the report markers).

4. Review - do not trust the self-report

Treat pi's final message and gate claims as claims:

  • Re-run the project's gates yourself.
  • Read the diff against the brief, starting with touchedFiles.
  • Run relevant guard skills if installed.
  • Round-trip migrations and grep for dangling references after removals or renames.

See references/review-and-land.md.

5. Land it

The implementer edits the working tree; the orchestrator commits. Commit only after the gates pass and the diff holds. If rework is needed, send a delta brief with --resume-last or --session <id>, then review again.

Autonomy and permissions

Pi has no sandbox and no permission modes. A default headless run reads, writes, edits, and executes shell commands with no prompts - the controls are:

  1. --read-only restricts pi's callable tools to --tools read,grep,find,ls across built-in, extension, and custom tools. Installed extension code still runs with the user's host permissions.
  2. The relay passes --no-approve by default, so project .pi settings, extensions, and skills stay untrusted. --approve is the explicit opt-in for a repository the user trusts.
  3. touchedFiles and the diff are the record of what changed. Inspect them after every run.

Authorization model

Delegation is something the human opts into. Once they have ("run this queue", "proceed"), committing verified, gate-passing work is the agreed contract. Two limits remain: surface, don't absorb (report pi's design decisions, defensible-but-unasked turns, and non-blocking nitpicks) and stop for scope changes (if correct completion needs going beyond the brief, ask instead of expanding the mandate). See references/review-and-land.md.

References

Frequently asked questions about Pi Delegate

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