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Coding Agent Pm

CommunityPopular
davepoon
coding-agent-pm

Plan, delegate, review, and recover coding-agent implementation work with tight scope control, acceptance criteria, and validation.

Overview

Publisherdavepoon
Repositorybuildwithclaude
Skill namecoding-agent-pm
Stars
3.5K
Forks
509
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by davepoon on GitHub. Read the source before you install it.

Installation

Install the Coding Agent Pm AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/davepoon/buildwithclaude.git /tmp/buildwithclaude
mkdir -p .claude/skills
cp -r /tmp/buildwithclaude/plugins/all-skills/skills/coding-agent-pm .claude/skills/coding-agent-pm
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Coding Agent Pm in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Coding Agent Pm on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Coding Agent Pm is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Coding Agent PM

Use this skill when a human is preparing, delegating, reviewing, or recovering implementation work done by Claude Code, Codex, OpenClaw, or another coding agent.

When to Use This Skill

  • You need to turn a vague implementation request into a bounded agent task.
  • You are assigning work to one or more coding agents and need clear file ownership.
  • You are reviewing an agent diff for scope drift, regressions, or missing validation.
  • A coding agent has stalled, over-edited, or returned a result that is hard to trust.

What This Skill Does

  1. Defines the shipped outcome in one sentence.
  2. Sets explicit scope: files or modules owned, files or modules excluded, and destructive actions that are forbidden.
  3. Captures relevant project context before implementation starts.
  4. Writes acceptance criteria that can be checked directly.
  5. Requires validation commands or manual checks before final delivery.
  6. Reviews the diff before accepting the work.

Assignment Rules

  • Keep the task brief concrete and bounded.
  • State whether the agent may edit files or should only inspect and plan.
  • Give ownership boundaries for code changes.
  • Tell the agent not to revert unrelated user work.
  • Prefer existing project patterns over new abstractions.
  • Require the final response to include changed files, checks run, results, and remaining risks.

Agent Brief Template

markdown
# Agent Brief

## Outcome
Ship:

## Scope
Owned files/modules:

Do not edit:

Forbidden actions:
- Do not run destructive git commands.
- Do not revert unrelated user changes.

## Context
Relevant files:

Existing patterns to follow:

## Acceptance Criteria
- [ ] 
- [ ] 
- [ ] 

## Validation
Run:

Manual checks:

## Final Response Must Include
- Files changed
- Validation run and result
- Remaining risks or follow-ups

Review Checklist

Review in this order:

  1. Behavioral bugs or regressions.
  2. Missing acceptance criteria.
  3. Missing tests or weak validation.
  4. Scope drift and unrelated refactors.
  5. Security, privacy, or destructive-command risk.

If the agent drifted, stop new edits and ask it to map each change back to the original acceptance criteria.

Recovery Prompt

Use this when a coding agent's work is hard to trust:

text
Pause implementation. Map every changed file and every material change back to the original acceptance criteria. For each change, mark it as required, optional, or unrelated. Do not edit files until this map is complete.

Example

User: "Have a coding agent add OAuth login."

Better assignment:

markdown
Outcome: Add GitHub OAuth login to the existing auth flow.

Scope:
- Own: src/auth/*, src/routes/login.tsx, tests/auth/*
- Do not edit: billing, onboarding, database migrations unless a failing test proves it is required

Acceptance criteria:
- [ ] Existing email login still works.
- [ ] GitHub login creates or links a user through the existing auth service.
- [ ] Auth errors render through the existing form error pattern.
- [ ] Tests cover success, denied OAuth, and existing linked account.

Validation:
- npm test -- auth
- npm run lint

Tips

  • The smaller the owned file set, the better the agent result.
  • Make "do not edit" lists explicit for shared or risky modules.
  • Prefer acceptance criteria over long implementation instructions.
  • Treat validation as part of the task, not a follow-up.

Frequently asked questions

What does the Coding Agent Pm AI skill do?

Plan, delegate, review, and recover coding-agent implementation work with tight scope control, acceptance criteria, and validation.

Why use Coding Agent Pm on TypingMind?

Because you install it once and use it with any model. Coding Agent Pm is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Coding Agent Pm in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/davepoon/buildwithclaude/tree/main/plugins/all-skills/skills/coding-agent-pm. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Coding Agent Pm?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Coding Agent Pm?

As many as you like. As long as a model supports skills, you can use Coding Agent Pm with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Coding Agent Pm AI skill free?

Yes. It is published on GitHub by davepoon under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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