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Agent skill

Pi Delegate

by amElnagdy in amElnagdy/delegate-skills

Delegate a coding task to the Pi coding agent CLI (pi) as a background implementer, then review its diff and land it yourself.

MITAuto-check passedDevelopment

Install Pi Delegate

skills CLI
$ npx skills add amElnagdy/delegate-skills --skill pi-delegate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install amElnagdy/delegate-skills pi-delegate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/amElnagdy/delegate-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/pi-delegate .claude/skills/pi-delegate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pi-delegate
GitHub stars
2.3k
Token cost
~1.7k tokens
SKILL.md length
735 words
Files
6 (incl. scripts, references)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Delegate a coding task to the Pi coding agent CLI (pi) as a background implementer, then review its diff and land it yourself.

  • Works in 5 steps: Write the brief → Dispatch → Wait for completion → …
  • Wants to delegate implementation work to Pi - phrasings like have Pi implement X
  • SKILL.md covers When NOT to use this, Prerequisites (check once), Choose the model (optional) and The loop, plus 3 more sections
  • Runs JavaScript scripts from its folder; calls node and npm

What it does

Pi Delegate is an agent skill from amElnagdy/delegate-skills. Delegate a coding task to the Pi coding agent CLI (pi) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Pi - phrasings like "have Pi implement X", "delegate this to pi", "run it through Pi", or "use pi to implement/fix/refactor" - or wants to run a queue of coding tasks through Pi while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/dispatch-and-poll.md`, `references/multi-task-queues.md` and `references/review-and-land.md`).

It sits in Development. The repository describes itself as: Delegate a coding task to a separate coding agent CLI, review the diff, land the commit yourself — one per implementer. The licence is MIT.

When your agent uses it

  • Wants to delegate implementation work to Pi - phrasings like have Pi implement X
  • Delegate this to pi
  • Run it through Pi
  • Use pi to implement/fix/refactor -

Example prompts

  • “have Pi implement X”
  • “delegate this to pi”
  • “run it through Pi”
  • “/pi-delegate”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Write the brief
  2. Dispatch
  3. Wait for completion
  4. Review - do not trust the self-report
  5. Land it

What it can do on your machine

Read from SKILL.md and the folder at commit 8ef0210. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • node
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pi Delegate loads about 1.7k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 133 tokens; SKILL.md has 735 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from amElnagdy/delegate-skills at commit 8ef0210, republished under its MIT licence (© amElnagdy). 735 words, ~1,689 tokens.

Download SKILL.mdSave it as .claude/skills/pi-delegate/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
pi-delegate
description
Delegate a coding task to the Pi coding agent CLI (`pi`) as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to delegate implementation work to Pi - phrasings like "have Pi implement X", "delegate this to pi", "run it through Pi", or "use pi to implement/fix/refactor" - or wants to run a queue of coding tasks through Pi while staying the reviewer. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating.
license
MIT
metadata.version
0.5.0

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.)

bash
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).

Show full SKILL.md (285 more words)Show less
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

© amElnagdy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/pi-delegate of amElnagdy/delegate-skills.

  • SKILL.md
  • references/dispatch-and-poll.md
  • references/multi-task-queues.md
  • references/review-and-land.md
  • references/writing-the-brief.md
  • scripts/relay.mjs

Open the folder on GitHubat commit 8ef0210

Compare with similar skills

Pi Delegate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pi Delegate compared with similar skills
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PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Pi Delegate

What does Pi Delegate do?

Delegate a coding task to the Pi coding agent CLI (pi) as a background implementer, then review its diff and land it yourself. Pi Delegate is an agent skill from amElnagdy/delegate-skills. Delegate a coding task to the Pi coding agent CLI (pi) as a background implementer, then review its diff and land it yourself.

When should I use Pi Delegate?

Pi Delegate fits situations like: wants to delegate implementation work to Pi - phrasings like have Pi implement X; delegate this to pi; run it through Pi; use pi to implement/fix/refactor -.

How do I install Pi Delegate in Claude Code?

Run `npx skills add amElnagdy/delegate-skills --skill pi-delegate -a claude-code`. Or copy the skill folder (skills/pi-delegate in amElnagdy/delegate-skills) into .claude/skills/pi-delegate in your project. Claude Code loads it when a task matches its description.

How do I install Pi Delegate in Codex?

Run `npx skills add amElnagdy/delegate-skills --skill pi-delegate -a codex`. Or copy the skill folder (skills/pi-delegate in amElnagdy/delegate-skills) into .agents/skills/pi-delegate in your project. Codex loads it when a task matches its description.

Can I use Pi Delegate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add amElnagdy/delegate-skills --skill pi-delegate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pi-delegate, .gemini/skills/pi-delegate, .github/skills/pi-delegate and .opencode/skills/pi-delegate in your project.

What does Pi Delegate need to run?

Going by SKILL.md and its folder, Pi Delegate needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and npm). Our summary lists: Node.js.

Does Pi Delegate access the network?

SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pi Delegate safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Pi Delegate use?

Pi Delegate is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pi Delegate use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.

What are the alternatives to Pi Delegate?

Skills that share tags, products or a category with Pi Delegate: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pi Delegate?

amElnagdy (a GitHub user) maintains it in amElnagdy/delegate-skills, which has 2,336 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 7, 2026.

Source: amElnagdy/delegate-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.