delegate-to-ai

delegate-to-ai is a skill for Claude Code from mohitagw15856/pm-claude-skills. It costs 137 tokens per session (1,127 once invoked), scanned A, original, MIT.

A framework for deciding which work to give to AI, which work to give it with human review, and which work to keep for yourself. It treats AI as fast but unreliable and explains the reasoning for each decision.

In plain words
What is it for?
It helps sort a real workload, write better instructions for delegated tasks, identify work that needs human judgment, and choose tasks to hand over first.
Why use it?
Delegating too little leaves useful time savings unused, while delegating high-judgment work can reduce quality or create risk. This helps match the level of oversight to the task.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-ai-native plugin — 13 skills shipped together

Good fit It helps sort a real workload, write better instructions for delegated tasks, identify work that needs human judgment, and choose tasks to hand over first.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mohitagw15856/pm-claude-skills/delegate-to-ai
About the project

PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.

mohitagw15856/pm-claude-skills · 1,449 stars · on GitHub · mohitagw15856.github.io

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mohitagw15856/pm-claude-skills --skill delegate-to-ai
Clone the repo
git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills

Made for: Claude Code.

Or install pm-ai-native, the plugin that ships this one along with the rest of its 13 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for delegate-to-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/delegate-to-ai/github.svg)](https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/delegate-to-ai)
Your own site
<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/delegate-to-ai"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/delegate-to-ai/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for delegate-to-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/mohitagw15856/pm-claude-skills/delegate-to-ai"><img src="https://agentmods.dev/badge/skills/mohitagw15856/pm-claude-skills/delegate-to-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,127 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00137 $0.01127
Opus 5.5 $0.00055 $0.00451
Sonnet 5.5 $0.00027 $0.00225
Haiku 4.5 $0.00014 $0.00113

Measured 2d ago against content hash f55c6785fdb8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

delegate-to-ai scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/pm-ai-native/skills/delegate-to-ai/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Delegate to AI

The useful frame for AI is a new hire: fast, tireless, capable of a lot — and unreliable in specific ways, so you delegate deliberately and verify the important stuff. The mistake is either delegating nothing (no leverage) or delegating things that need your judgment (lost quality, lost edge). This sorts your actual workload into what to fully hand over, what to hand over with review, and what to keep — with the reasoning, so you free your time on purpose.

What This Skill Produces

  • A three-way sort of your tasks — 🟢 delegate fully (low-stakes, AI does it well) · 🟡 delegate with review (AI drafts, you approve) · 🔴 keep human (judgment, relationships, high-stakes)
  • The reasoning per line — why each task landed where it did, so the map makes sense and you can adjust it
  • How to brief the delegated ones — what the AI needs to do the handed-off tasks well (context, examples, the output you want)
  • Where your judgment is the value — the tasks where you are the point, that delegating would hollow out
  • A time-back estimate — a rough sense of what delegating frees up, so it's worth doing
  • A start-here pick — the one or two tasks to delegate first to build the habit and trust

Required Inputs

Ask for these if not provided:

  • Your tasks — the recurring things on your plate (a brain-dump is fine)
  • Your role & what you're good at — so we protect the judgment work that's your edge
  • The stakes per task — what errors cost (drives review level)
  • Your AI access — what tools you have, so the delegation is realistic
  • What's draining you — the time-sinks you'd most love off your plate

Framework: Manage AI Like A Capable New Hire

  1. List the real workload. Get the tasks out of your head — you can't delegate what you haven't named.
  2. Rate each on two axes. How well AI does it × how much errors cost. High-ability/low-stakes → delegate fully. High-ability/high-stakes → delegate with review. Needs-human-judgment → keep.
  3. Protect your edge. Explicitly flag the tasks where your judgment, relationships, or taste are the value — delegating those doesn't save time, it removes the point.
  4. Brief the delegated tasks. For the ones you hand over, define what the AI needs — context, examples, output format — like onboarding a new hire, not tossing over a wall.
  5. Set the review level. Full-delegate = spot-check. Delegate-with-review = you approve every output before it's used, especially anything external or irreversible.
  6. Start small, build trust. Pick one or two to delegate first; verify the quality; expand as trust builds.

Read the full file on GitHub · 68 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 68 lines · 137 tokens per session scan A f55c6785fdb8

Subscribe to this mod's changes

delegate-to-ai is a skill published in the GitHub repository mohitagw15856/pm-claude-skills (1,449 stars, last pushed today), licensed MIT. It adds 137 tokens to every session and 1,127 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-12.

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