Plugin Claude Code
Agent skills for AI-First product work: synthetic-user discovery, spec critique, exposure planning, and evidence-based product building. Companion toolkit for the Alaimo Labs AI-First Product Manager and AI-First Product Builder programs.
Instructions file CodexOpenCode
AGENTS.md instructions for alaimo-labs/ai-first-skills: All agent guidance for this repository lives in CLAUDE.md. Read that file first.
Instructions file
Claude Code instructions for alaimo-labs/ai-first-skills, covering claude.md, project overview, repo structure, key design rules and file conventions (user repos).
Plugin Claude Code
AI-First Product Builder skills: falsifiable hypotheses, exposure plans, and the hypothesis-to-evidence experiment loop for prototypes built with coding agents.
Skill Claude CodeCodex
How to build an Exposure Plan — an ordered set of accumulative reveal levels that validate a feature's hypothesis layer by layer, each level testing one falsifiable belief. Use when slicing a feature, planning a progressive reveal, designing how to validate a hypothesis in stages, or deciding what to expose to which…
Skill Claude CodeCodex
How to turn a product conviction into a falsifiable hypothesis with a measurable experiment — structure, quality bar, and behavioral success criteria. Use when formulating a hypothesis, designing an experiment, defining success criteria for a prototype, or when the user states a belief about users that hasn't been…
Skill Claude CodeCodex
Turn a product idea or conviction into a falsifiable hypothesis with behavioral success criteria and a decision rule.
Skill Claude CodeCodex
Build an Exposure Plan for a hypothesis or spec — accumulative reveal levels, each testing one falsifiable belief.
Plugin Claude Code
AI-First Product Manager skills: synthetic personas, persona interviews (exploration and validation), insight extraction, persona critique panels, and exposure plans.
Skill Claude CodeCodex
Analyze survey results — quantitative summary by learning goal, coded open-ends, and actionable insights extracted from the data.
Skill Claude CodeCodex
Present a fuzzy feature idea and get it clarified through evidence-grounded questioning, one question at a time — decisions stay yours, unknowns become assumptions.
Skill Claude CodeCodex
The Cognitive Friction Map (MFC) — four categories of cognitive friction (transformation, limiter, standardizer, evaluator points) for finding where AI adds real value in a user journey. Use when analyzing a journey or workflow for AI opportunities, identifying cognitive frictions or bottlenecks in user tasks, or…
Skill Claude CodeCodex
Have your synthetic personas critique a spec, PRD, or product idea — individual in-character reviews plus a panel synthesis.
Skill Claude CodeCodex
Derive evidence-based personas from patterns that recur across real interviews and survey results — bottom-up, every trait traceable to evidence.
Skill Claude CodeCodex
Design an interview guide for real user research from what you want to learn or validate — grounded in your insights, assumptions, and personas.
Skill Claude CodeCodex
Design a survey questionnaire from what you want to measure or validate — grounded in your insights and assumptions, ready to paste into any survey tool.
Skill Claude CodeCodex
Extract actionable product insights from one or more interview transcripts (synthetic or real).
Skill Claude CodeCodex
Structure and quality bar for evidence-grounded feature specs — problem, user journey, critical user stories with acceptance criteria, and a falsifiable hypothesis. Use when writing a feature spec or PRD, defining user stories or acceptance criteria, mapping a user journey, or turning insights into a spec.
Skill Claude CodeCodex
Generate a diverse set of synthetic user personas for your product, saved as markdown files ready for interviews and critiques.
Skill Claude CodeCodex
How to extract actionable product insights from user interview transcripts (real or synthetic) — focus areas, quality bar, and output format. Use when analyzing interviews, synthesizing research, extracting insights, or turning transcripts and user feedback into product decisions.
Skill Claude CodeCodex
How to design an interview guide (discussion guide) for real user research — from learning goals to open, non-leading questions, funnel structure, and probes. Use when designing an interview, writing interview questions, preparing a discussion guide, or planning research conversations with real users.
Skill Claude CodeCodex
Interview one of your synthetic personas — exploration mode (open discovery) or validation mode (feedback on an idea).
Skill Claude CodeCodex
Analyze a user journey step by step to identify cognitive frictions where AI could add real value (Cognitive Friction Map).
Skill Claude CodeCodex
How to run a persona critique — a synthetic persona reviews a spec, PRD, or product idea in character and returns a structured rating with strengths, concerns, and suggestions. Use when critiquing a spec with personas, getting user feedback on a document, running a review panel, or stress-testing a PRD from the user's…