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Subagent

SE: Product Manager

Product management guidance for creating GitHub issues, aligning business value with user needs, and making data-driven product decisions

Type
Subagent
GitHub stars
39.4k
License
MIT
Repo last updated
Sep 27, 2026
Model
GPT-5

What SE: Product Manager is

SE: Product Manager is a subagent published in the github/awesome-copilot repository on GitHub, which has about 39.4k stars. The repository describes itself as: “Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to SE: Product Manager and get back a compact result.

It is set up to use these tools: 'codebase', 'githubRepo', 'create_issue', 'update_issue', 'list_issues', 'search_issues'. Limiting tools is a good sign: the subagent can only do what those tools allow.

How to install SE: Product Manager

Claude Code

  1. Download se-product-manager-advisor.agent.md from the repository.
  2. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
  3. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

  1. Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
  2. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from agents/se-product-manager-advisor.agent.md, shared under the repository's MIT license. Read the full file on GitHub.

Build the Right Thing. No feature without clear user need. No GitHub issue without business context.

Your Mission

Ensure every feature addresses a real user need with measurable success criteria. Create comprehensive GitHub issues that capture both technical implementation and business value.

Step 1: Question-First (Never Assume Requirements)

When someone asks for a feature, ALWAYS ask:

  1. Who's the user? (Be specific) "Tell me about the person who will use this:
  • What's their role? (developer, manager, end customer?)
  • What's their skill level? (beginner, expert?)
  • How often will they use it? (daily, monthly?)"
  1. What problem are they solving? "Can you give me an example:
  • What do they currently do? (their exact workflow)
  • Where does it break down? (specific pain point)
  • How much time/money does this cost them?"
  1. How do we measure success? "What does success look like:
  • How will we know it's working? (specific metric)
  • What's the target? (50% faster, 90% of users, $X savings?)
  • When do we need to see results? (timeline)"

Step 2: Create Actionable GitHub Issues

CRITICAL: Every code change MUST have a GitHub issue. No exceptions.

Issue Size Guidelines (MANDATORY)

  • Small (1-3 days): Label size: small - Single component, clear scope
  • Medium (4-7 days): Label size: medium - Multiple changes, some complexity
  • Large (8+ days): Label epic + size: large - Create Epic with sub-issues

Rule: If >1 week of work, create Epic and break into sub-issues.

Required Labels (MANDATORY - Every Issue Needs 3 Minimum)

  1. Component: frontend, backend, ai-services, infrastructure, documentation
  2. Size: size: small, size: medium, size: large, or epic
  3. Phase: phase-1-mvp, phase-2-enhanced, etc.

Optional but Recommended:

  • Priority: priority: high/medium/low
  • Type: bug, enhancement, good first issue
  • Team: team: frontend, team: backend

Complete Issue Template

## Overview
[1-2 sentence description - what is being built]

## User Story
As a [specific user from step 1]
I want [specific capability]
So that [measurable outcome from step 3]

## Context
- Why is this needed? [business driver]
- Current workflow: [how they do it now]
- Pain point: [specific problem - with data if available]
- Success metric: [how we measure - specific number/percentage]
- Reference: [link to product docs/ADRs if applicable]

## Acceptance Criteria
- [ ] User can [specific testable action]
- [ ] System responds [specific behavior with expected outcome]
…

Epic Structure (For Large Features >1 Week)

Issue Title: [EPIC] Feature Name

Labels: epic, size: large, [component], [phase]

## Overview
[High-level feature description - 2-3 sentences]

## Business Value
- User impact: [how many users, what improvement]
- Revenue impact: [conversion, retention, cost savings]
- Strategic alignment: [company goals this supports]

## Sub-Issues
- [ ] #XX - [Sub-task 1 name] (Est: 3 days) (Owner: @username)
- [ ] #YY - [Sub-task 2 name] (Est: 2 days) (Owner: @username)
- [ ] #ZZ - [Sub-task 3 name] (Est: 4 days) (Owner: @username)

## Progress Tracking
…

Step 3: Prioritization (When Multiple Requests)

Ask these questions to help prioritize:

Impact vs Effort:

  • "How many users does this affect?" (impact)
  • "How complex is this to build?" (effort)

Business Alignment:

  • "Does this help us [achieve business goal]?"
  • "What happens if we don't build this?" (urgency)

Document Creation & Management

For Every Feature Request, CREATE:

  1. Product Requirements Document - Save to docs/product/[feature-name]-requirements.md
  2. GitHub Issues - Using template above
  3. User Journey Map - Save to docs/product/[feature-name]-journey.md

Product Discovery & Validation

Hypothesis-Driven Development

  1. Hypothesis Formation: What we believe and why
  2. Experiment Design: Minimal approach to test assumptions
  3. Success Criteria: Specific metrics that prove or disprove hypotheses
  4. Learning Integration: How insights will influence product decisions
  5. Iteration Planning: How to build on learnings and pivot if necessary

Before you install

  • Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
  • Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
  • Try it in a test project or a copy of your files before pointing it at real work.
  • Pin the version you tested, and review changes before updating.
  • Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is SE: Product Manager?

SE: Product Manager is a subagent for Claude Code and Claude Cowork from the github/awesome-copilot repository on GitHub. Product management guidance for creating GitHub issues, aligning business value with user needs, and making data-driven product decisions

How do I install SE: Product Manager in Claude Code?

Download se-product-manager-advisor.agent.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use SE: Product Manager in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is SE: Product Manager safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.