By mohitagw15856 Verified
Generate structured engineering documents and analyses for code reviews, incident postmortems, API docs, architecture decisions, system design, runbooks, CI/CD, SLOs, database migrations, security threat models, and more — all from natural language prompts in Claude Code.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Write clear, developer-facing API documentation. Use when asked to document an API endpoint, write API reference docs, create a developer guide, or turn a raw spec/Postman collection into documentation. Produces endpoint documentation with descriptions, parameters, request/response examples, and error codes.
Write an API versioning strategy document for a service or API platform. Use when asked to define versioning policy, plan API deprecation, classify breaking changes, or document version lifecycle. Produces a complete versioning strategy with breaking-change classification table, deprecation timeline, migration guide template, and client communication template.
Create an Architecture Decision Record (ADR) for any technical decision. Use when asked to document a technical decision, write an ADR, record an architecture choice, or capture why a technology or approach was selected. Produces a structured ADR with context, decision, consequences, and tradeoffs.
Produce a capacity planning document for a service covering traffic forecasts, resource requirements, and scaling strategy. Use when asked to plan infrastructure capacity, forecast resource needs, model traffic growth, define scaling strategy, or produce a capacity review for a service. Produces a structured capacity plan covering current baseline metrics, growth projections, resource requirements per tier, scaling strategy, cost projections, capacity triggers, and an infrastructure action roadmap.
Convert a git log, commit list, or release notes into a polished, user-facing changelog. Use when writing release notes, generating a CHANGELOG.md entry, or documenting what changed in a version. Produces a structured changelog section with version header, categorised changes, and migration notes.
Generic AI gives you filler. These give you the structure a senior pro actually uses — PRDs, exec updates, launch plans, postmortems — as open-source
SKILL.mdfiles. Across 21 professions, not just product management. One source, every AI tool.
🆕 Now plugs into your stack — automate skills in n8n, build apps on Lovable, and run them in your Obsidian vault, all via a read-only REST API on the hosted Worker.
PM stands for Professional, not just Product Management. 207 professional skills + 4 agent templates across 28 bundles covering 21 professions. Built for Claude Code — and now portable to ChatGPT, Gemini, and Hermes Agent. Built by a PM, used by everyone.
npx claudepluginhub mohitagw15856/pm-claude-skills --plugin pm-engineeringVerified owner:mohit aggarwal
Planning & strategy skills: OKR Builder, Feature Prioritisation (RICE/MoSCoW/Kano/ICE), Roadmap Presentation, Pricing Strategy, RICE + Impact Matrix, Roadmap Narrative.
Leadership & people skills: Performance Review, Hiring Rubric, Team Offsite Planner. Write structured reviews, build interview scorecards, and plan offsites from goals to minute-by-minute agenda.
PM Weekly Review: a 20-minute structured ritual covering metrics movement, shipping progress, customer insights, and next week's top 3 priorities in a shareable update.
Advanced PM skills: AI Product Canvas, Multi-Source Signal Synthesiser, Experiment Designer, Design Handoff Brief. For senior PMs working on complex or AI-powered products.
Design & UX skills: UX Research Plan, Design Critique, Accessibility Audit. Create research plans with discussion guides, critique designs using JTBD and Gestalt principles, and audit for WCAG 2.2 compliance.
12 PM-specific agent skills, 6 workflow commands, 3 automation hooks for Product Managers
Cross-cutting utilities: technical writing, git workflow, code review, pair programming, on-call runbooks, incident response.
Tools for creating and managing Claude Code plugins, agents, commands, and skills
Brainstorm, plan, debug, review, and compound learnings with AI agents
Analyze completed development work to identify automation, systematization, and delegation opportunities. Build compounding engineering systems.
Documentation agents — technical writer, documentation architect