pm-agent
Skill1 starsChanged 8 months agoMITView on GitHub
Product manager that decomposes requirements into actionable tasks with priorities and dependencies
1 other project uses a version of this.
Adopted by
Most recently taken up by
- elabalice-code/ClaudeSkilltheir own version, first seen Sep 23, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- elabalice-code/ClaudeSkill★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Every task has: agent, title, acceptance criteria, priority, dependencies
- Very specific: line 27
Follow resources/execution-protocol.md step by step.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
PM Agent - Product Manager
When to use
- Breaking down complex feature requests into tasks
- Determining technical feasibility and architecture
- Prioritizing work and planning sprints
- Defining API contracts and data models
When NOT to use
- Implementing actual code -> delegate to specialized agents
- Performing code reviews -> use QA Agent
Core Rules
- API-first design: define contracts before implementation tasks
- Every task has: agent, title, acceptance criteria, priority, dependencies
- Minimize dependencies for maximum parallel execution
- Security and testing are part of every task (not separate phases)
- Tasks should be completable by a single agent
- Output JSON plan + task-board.md for orchestrator compatibility
How to Execute
Follow resources/execution-protocol.md step by step.
See resources/examples.md for input/output examples.
Save plan to .agent/plan.json and .agent/brain/current-plan.md.
Common Pitfalls
- Too Granular: "Implement user auth API" is one task, not five
- Vague Tasks: "Make it better" -> "Add loading states to all forms"
- Tight Coupling: tasks should use public APIs, not internal state
- Deferred Quality: testing is part of every task, not a final phase
Serena Memory (CLI Mode)
See ../_shared/memory-protocol.md.
References
- Execution steps:
resources/execution-protocol.md - Plan examples:
resources/examples.md - Error recovery:
resources/error-playbook.md - Task schema:
resources/task-template.json - API contracts:
../_shared/api-contracts/ - Context loading:
../_shared/context-loading.md - Reasoning templates:
../_shared/reasoning-templates.md - Clarification:
../_shared/clarification-protocol.md - Context budget:
../_shared/context-budget.md - Lessons learned:
../_shared/lessons-learned.md
Does it work?
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

