pi-delegate
Lets your agent delegate coding tasks to a specific tool. The main agent still reviews and approves the final work.
What it does
This tool lets you delegate coding tasks to a specialized agent called 'Pi'. You write the instructions, the agent does the work, and you review and approve the changes before finalizing them.
When to use it
- ✓When you need an AI agent to write or modify code.
- ✓When you want to review code changes before applying them.
- ✓When the coding task is specific and well-defined.
Example of what to ask your AI
“Delegate the creation of a Python function that reads a CSV file and returns a list of dictionaries.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You write a detailed 'brief' with the goal and instructions. The tool sends this to the 'Pi' agent, which executes the code. You then review the result and decide whether to approve it.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill pi-delegateOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/pi-delegate/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Bundled upstream support
Supporting files are included at skill-relative paths. See UPSTREAM-NOTICE.md for their pinned sources, licenses, hashes, and import changes.
Pi Delegate
When to Use
- You want to delegate a bounded coding task to a separate
piimplementer (Pi) and then review its diff yourself. - The user explicitly asked for delegation to this implementer.
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
piCLI is not installed or authenticated. - You need a sandboxed implementer. Pi has no sandbox and no permission modes;
--read-onlyrestricts the tool surface, but a write-capable run executes without prompts.
Prerequisites (check once)
- Install pi with
npm install -g @earendil-works/pi-coding-agent. - Authenticate:
/logininside pi for a subscription provider, or an API-key environment variable /pi's auth file for an API-key provider. - Confirm
pi --versionsucceeds. - Work in, or point
--cdat, 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.
…
FAQ
What is the 'Pi' agent?
It's an AI agent specialized in coding tasks that can be controlled via the command line.
Do I need to install anything?
Yes, you need to install the 'Pi' agent and authenticate with it.
What happens if the generated code isn't good?
You review the code and can ask the agent to redo the task with corrected instructions, or make the corrections yourself.
Details
Original description by the author
Delegate coding tasks to the Pi coding agent CLI (`pi`) only when the user explicitly requests it, while the orchestrator retains review and landing responsibility.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3828
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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