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AI EngineeringGo

Delegation

by prassanna-ravishankar

Delegation is an AI Engineering skill for Claude Code, published by prassanna-ravishankar in repowire.

260 stars34 forkson prassanna-ravishankar/repowireAdded 2026/09/02+1% in starsRepository updated 2026/08/31
View source on GitHubDownload repo ZIP
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Install in seconds
Install Delegation
Copy Delegation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/prassanna-ravishankar/repowire/tree/main/daemon-go/cli/assets/orchestrator/.agents/skills/delegation ~/.claude/skills/delegation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/prassanna-ravishankar/repowire.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
daemon-go/cli/assets/orchestrator/.agents/skills/delegation/SKILL.md in prassanna-ravishankar/repowire
Installs to
~/.claude/skills/delegation
Collection
One of 17 skills cataloged from this repository
Category
AI Engineering — 2631 skills

What Delegation does

Delegation helps you hand work to a peer by choosing whether to reuse or spawn a fresh one, and by writing briefs for fixes, features, plans, or review. Use it when you need critique, parallel work, or a second opinion before merge.

Delegation is cataloged under AI Engineering on DirSkills. Delegation comes from a repository tagged agent-orchestration, ai-coding-agents, ai-developer-tools, antigravity and claude-code.

Documentation

README

Delegation

Use this when giving work to a peer.

Spawn or reuse

Reuse a peer when the work continues its existing context in the same worktree. Spawn fresh for independent review, decoupled concerns, cross-model critique, or when the current peer's context is too long.

One worktree per concern. Do not put two implementation peers on overlapping files in the same worktree.

Brief shape

Calibrate brief depth to the cost of getting it wrong.

  • Small fix: one sentence plus file/line.
  • Bug fix: repro, file/line hints, and verification.
  • Feature work: success criteria, relevant files, docs impact, and reporting surface.
  • Architecture: plan-before-code, risks to probe, expected output shape, and citations.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Delegation

  • What else does prassanna-ravishankar publish alongside Delegation?

    Delegation is one of 17 skills that DirSkills catalogs from prassanna-ravishankar/repowire, the repository it ships in. Its siblings there include ADHD, Cleanup and Coordination. Each one is a separate skill with its own page in this directory, installs the same way Delegation does, and is maintained by prassanna-ravishankar in that same repository. The rest of the collection is listed on the prassanna-ravishankar/repowire page.

  • How does Delegation compare to other AI Engineering skills?

    Delegation ranks #2270 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Delegation against them. Open each page to compare what they document and how they install.

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