Agent skill

Pi Delegate

by sickn33 in sickn33/agentic-awesome-skills

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.

MITAuto-check passedAgent Workflows

Install Pi Delegate

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill pi-delegate -a claude-code

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

GitHub CLI
$ gh skill install sickn33/agentic-awesome-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/sickn33/agentic-awesome-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
47k
Used in
1 other repo
Token cost
~1.8k tokens
SKILL.md length
808 words
Files
5 (incl. references)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 5 steps: Write the brief → Dispatch → Wait for completion → …
  • Explicitly requests it
  • SKILL.md covers When to Use, When NOT to use this, Prerequisites (check once) and Choose the model (optional), plus 5 more sections
  • Calls node and npm

What it does

Pi Delegate is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/dispatch-and-poll.md`, `references/multi-task-queues.md` and `references/review-and-land.md`).

It sits in Agent Workflows. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Explicitly requests it
  • While the orchestrator retains review and landing responsibility

Example prompts

  • “/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 ec02547. 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

    Shell commands in SKILL.md call:

    • node
    • npm

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

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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 1.8k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 808 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.1k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 808 words, ~1,807 tokens.

Download SKILL.mdSave it as .claude/skills/pi-delegate/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
pi-delegate
description
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.
risk
critical
category
agent-orchestration
source
https://github.com/amElnagdy/delegate-skills
source_repo
amElnagdy/delegate-skills
source_type
community
date_added
2026-08-26
license
MIT
license_source
https://github.com/amElnagdy/delegate-skills/blob/master/LICENSE
metadata.version
0.5.0

Pi Delegate

When to Use

  • You want to delegate a bounded coding task to a separate pi implementer (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 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 (326 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

Limitations

  • Docs-only import — executable scripts/relay.mjs not included; see upstream for full runtime. Requires pi CLI, Node 18+, git.
  • Relay never commits — it only returns structured result JSON; you review and land the commit.

Adapted from amElnagdy/delegate-skills (MIT) — docs-only, runtime not bundled.

© sickn33, 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 4 other files (references) in skills/pi-delegate of sickn33/agentic-awesome-skills.

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

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Pi Delegate

What does Pi Delegate do?

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. Pi Delegate is an agent skill from sickn33/agentic-awesome-skills. 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.

When should I use Pi Delegate?

Pi Delegate fits situations like: explicitly requests it; while the orchestrator retains review and landing responsibility.

How do I install Pi Delegate in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill pi-delegate -a claude-code`. Or copy the skill folder (skills/pi-delegate in sickn33/agentic-awesome-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 sickn33/agentic-awesome-skills --skill pi-delegate -a codex`. Or copy the skill folder (skills/pi-delegate in sickn33/agentic-awesome-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 sickn33/agentic-awesome-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 the command-line tools its instructions call (node and npm). Our summary lists: Node.js.

Does Pi Delegate access the network?

SKILL.md names 1 domain. As links in the text: github.com. 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. Review the folder before installing.

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 1.8k tokens (SKILL.md is roughly 7.2k 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: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pi Delegate?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.