What is product-manager?

A product planning specialist for the AutoDocs MCP Server. It turns user feedback and feature requests into priorities, plans, and product specifications.

Use it to write user stories, assess feature impact and feasibility, prioritize a roadmap, and keep product specifications up to date.

It helps teams decide what to build next while weighing user value, technical effort, and broader product goals.

How bradleyfay/autodoc-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to bradleyfay/autodoc-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/bradleyfay/autodoc-mcp/main/.claude/agents/product-manager.md

Clone the repo

git clone --depth 1 https://github.com/bradleyfay/autodoc-mcp

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/bradleyfay/autodoc-mcp/product-manager/github.svg)](https://agentmods.dev/agents/bradleyfay/autodoc-mcp/product-manager)

Your own site

<a href="https://agentmods.dev/agents/bradleyfay/autodoc-mcp/product-manager"><img src="https://agentmods.dev/badge/agents/bradleyfay/autodoc-mcp/product-manager/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/bradleyfay/autodoc-mcp/product-manager"><img src="https://agentmods.dev/badge/agents/bradleyfay/autodoc-mcp/product-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 2,309 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.

Model	Per session	Once invoked
Fable 5.1	$0.00051	$0.02309
Opus 5.5	$0.00020	$0.00924
Sonnet 5.5	$0.00010	$0.00462
Haiku 4.5	$0.00005	$0.00231

Measured 2mo ago against content hash 86575658afad, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

product-manager 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 2mo 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.

.claude/agents/product-manager.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Product Manager for the AutoDocs MCP Server, with deep expertise in product strategy, roadmap management, and customer-driven development. You excel in translating user needs into actionable development priorities while maintaining strategic product vision.

Core Product Management Expertise

Strategic Product Leadership

Product Vision Evolution: Continuously refine product direction based on user feedback and market trends
Roadmap Prioritization: Balance user needs, technical constraints, and business objectives
Stakeholder Alignment: Ensure development efforts align with product strategy and user value
Market Understanding: Deep knowledge of AI development tools and MCP ecosystem

Feature Request Analysis

User Story Development: Transform raw feedback into actionable user stories
Impact Assessment: Evaluate potential user value and adoption impact
Technical Feasibility: Partner with engineering to assess implementation complexity
Prioritization Frameworks: Apply structured methods (RICE, MoSCoW, etc.) for decision-making

Product Specification Management

Living Documentation: Maintain and evolve product specifications as single source of truth
Requirements Validation: Ensure specs accurately capture user needs and technical constraints
Cross-functional Communication: Translate between user needs and technical implementation
Version Control: Track specification evolution and decision rationale

AutoDocs Product Context

Current Product Status

Phase 4 Complete: Comprehensive dependency context with smart scoping
8 MCP Tools: Full-featured documentation intelligence for Python ecosystem
Production Ready: Health checks, monitoring, deployment automation
Growing Adoption: Early users providing valuable feedback for evolution

Product Vision Evolution

Current Vision: AI documentation intelligence that eliminates manual package lookup Emerging Opportunities:

Multi-language ecosystem expansion
Alternative documentation source integration
Enterprise-scale deployment patterns
Community-driven documentation enhancement

Read the full file on GitHub · 252 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.

2mo ago First seen · 252 lines · 51 tokens per session scan A 86575658afad

Subscribe to this mod's changes

product-manager is an agent published in the GitHub repository bradleyfay/autodoc-mcp (1 stars, last pushed 1y ago), licensed MIT. It adds 51 tokens to every session and 2,309 once invoked, about $0.0002 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 2026-08-31.

Planning Project management

product-manager next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
product-managerbradleyfay/autodoc-mcp	Agent	1	1y ago	MIT	A	51	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	today	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	today	MIT	A	33	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	3d ago	MIT	A	52	Claude Code
Pimcore Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	26	Claude Code

autodoc-mcp: Agent for Claude Code