Productfculty-aipm/PM-Copilot-by-Product-Faculty
Plugin Claude Code
The AI-native PM operating system — deep, framework-grounded PM skills with live MCP tool integrations, chained sub-agent workflows, and persistent user memory. Built for solo PMs and founding PMs who need an AI partner that actually knows their product.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
MCP server Claude CodeCodexCursor +2
MCP server "linear" as configured in Productfculty-aipm/PM-Copilot-by-Product-Faculty. Runs locally from the @linear/mcp-server npm package. Needs 1 environment variable to run.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
MCP server Claude CodeCodexCursor +2
MCP server "jira" as configured in Productfculty-aipm/PM-Copilot-by-Product-Faculty. Runs locally from the @atlassian/jira-mcp npm package. Needs 3 environment variables to run.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
MCP server Claude CodeCodexCursor +2
Lets the agent search, read and edit pages and databases in a Notion workspace. Runs locally from the @notionhq/notion-mcp-server npm package. Needs 1 environment variable to run.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
MCP server Claude CodeCodexCursor +2
MCP server "slack" as configured in Productfculty-aipm/PM-Copilot-by-Product-Faculty. Runs locally from the @slack/mcp-server npm package. Needs 2 environment variables to run.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
MCP server Claude CodeCodexCursor +2
MCP server "github" as configured in Productfculty-aipm/PM-Copilot-by-Product-Faculty. Runs locally from the @github/github-mcp-server npm package. Needs 1 environment variable to run.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Instructions file
Claude Code instructions for Productfculty-aipm/PM-Copilot-by-Product-Faculty, covering pm copilot — global instructions, session start protocol, memory update protocol, context loading (all pm operations) and framework defaults.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Designs and runs AI product evaluation frameworks: error analysis, eval suite design, LLM-as-judge pipelines, human eval protocols, regression testing plans, and improvement flywheels. Use this agent when the user is building an AI-powered feature and needs to define how to measure quality, catch regressions, or…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Runs deep product discovery research: problem framing, JTBD demand-side analysis, assumption mapping, opportunity sizing, and opportunity-solution tree mapping. Use this agent for multi-step discovery sessions, research synthesis, or when raw qualitative data needs to be structured into actionable opportunity areas.…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Produces PM deliverables: PRDs, user stories, epic breakdowns, prototype-ready specs, and sprint plans. Use this agent when the user needs a complete document produced — any task requiring structured writing against templates with multiple sections, acceptance criteria, and cross-referencing against product context.…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Plans go-to-market execution: launch planning, ICP definition, messaging hierarchy, positioning (April Dunford 5-component), pricing model design, growth loops, and AI feature monetization. Use this agent when the user needs to plan how to bring a product or feature to market — any task requiring multi-constraint GTM…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Runs market and user research analysis: persona development, journey mapping, TAM/SAM/SOM sizing, competitor battlecards, feedback triage, and attitudinal segmentation. Use this agent when the user needs to understand their market, users, or competitive landscape — any task requiring structured analysis of external…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Handles quantitative PM work: North Star metric selection, funnel analysis, cohort analysis, A/B test design, dashboard structuring, and SQL generation. Use this agent when the user needs to define, measure, or analyze product metrics — any task requiring statistical reasoning, metric framework design, or…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Produces audience-tailored stakeholder communications: executive summaries, engineering briefs, launch announcements, risk escalations, and weekly digests. Use this agent when the user needs to communicate the same information to different audiences, or when a communication requires careful tone calibration for a…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Agent
Runs strategic analysis frameworks: competitive positioning, 7 Powers moat assessment, strategy stack audits, pre-mortems, and beachhead market selection. Use this agent when the user needs to evaluate strategic direction, stress-test a bet, or compare positioning options — any task requiring multi-framework strategic…
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Get briefed — loads your full memory, pulls live state from all connected tools, surfaces risks, staleness, upcoming milestones, and gives you a prioritized briefing so you're never starting blank.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Run a competitive intelligence analysis — landscape mapping, battlecards, 7 Powers moat comparison, positioning gaps, and monitoring plan.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Design an AI-powered feature end-to-end — model selection, prompt architecture, eval framework, failure modes, cost modeling, and improvement flywheel.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Run a full discovery cycle — problem framing, JTBD demand-side analysis, assumption mapping, opportunity sizing, and OST mapping — from a rough idea to validated opportunity.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Set up PM Copilot — a guided wizard that builds your persistent memory profile so every future session is grounded in your product context.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Plan a full go-to-market launch — positioning, messaging hierarchy, ICP definition, launch timeline, rollback plan, and post-launch measurement.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Plan the upcoming sprint — epic breakdown, user story decomposition, RICE prioritization, dependency check, and capacity allocation.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Run a post-ship retrospective — measure outcomes vs. predictions, extract lessons, update memory, and feed insights back into the PM system.
Productfculty-aipm/PM-Copilot-by-Product-Faculty
Command
Build or review your roadmap — OKR alignment, Now/Next/Later structuring, dependency mapping, and stakeholder views, pulling live Linear/Jira state.