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Agent skills

Skills you can use with AI coding agents, indexed from public GitHub repositories.

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HA Integration Dev Home Assistant custom integration development in Python. Covers custom_components, DataUpdateCoordinator, config_flow, OAuth2, conversation agent, HACS publishing, device registry, entity platforms, services, repair issues, diagnostics, Bluetooth integrations, and multi-coordinator patterns.
tonylofgren/aurora-smart-home 30
API Catalog Reference guide for connecting popular APIs to Home Assistant via Node-RED, YAML, or custom integrations. Covers authentication, endpoints, and complete working examples for: energy APIs (Tibber, Nordpool), weather (SMHI, OpenWeatherMap, yr.no), transport (SL, Trafikverket, Resrobot), smart home clouds (Shelly, Tuya, Philips Hue, IKEA), and global APIs (OpenAI, Spotify, Google Calendar, Telegram, GitHub). Use this skill whenever the user mentions a specific external service, API, or data source they want to connect to Home Assistant - even if they don't say "API".
tonylofgren/aurora-smart-home 30
four-fits Find which fit is broken before you burn cash scaling. Brian Balfour's framework for validating sustainable growth readiness.
breethomas/bette-think 13
project-health Deep-dive health check on a single Linear project. Produces assessment with 7 dimensions - On Track / At Risk / Stalled.
breethomas/bette-think 13
prompt-engineering Expert prompt optimization system for building production-ready AI features. Use when users request help improving prompts, want to create system prompts, need prompt review/critique, ask for prompt optimization strategies, want to analyze prompt effectiveness, mention prompt engineering best practices, request prompt templates, or need guidance on structuring AI instructions. Also use when users provide prompts and want suggestions for improvement.
breethomas/bette-think 13
strategy-session Your product soundboard. Work through product decisions conversationally - Claude gathers context, challenges assumptions, captures decisions, and creates Linear issues.
breethomas/bette-think 13
ai-debug Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.
breethomas/bette-think 13
shape-up Shape work using the Shape Up methodology (Ryan Singer, Basecamp). Walk through the 4-step shaping process to create pitches ready for betting. Distinguishes between established product mode (fixed time, variable scope) and new product mode (looser constraints). Use when planning cycle work, writing pitches, or coaching PMs on shaping.
breethomas/bette-think 13
competitive-research Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights.
breethomas/bette-think 13
now-next-later Generate a Now-Next-Later roadmap using Janna Bastow's framework. Communicates sequence and certainty without false dates.
breethomas/bette-think 13
ai-health-check Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
breethomas/bette-think 13
start-evals Start AI evals without overengineering. Create your first 20 test cases in a spreadsheet using PM-Friendly Evals approach.
breethomas/bette-think 13
four-risks Run Marty Cagan's Four Risks assessment on an issue (value, usability, feasibility, viability). Use when evaluating features before building.
breethomas/bette-think 13
issue-audit Understand how a team organizes work in Linear. Helps PMs onboarding to new teams learn conventions, see examples, and know what questions to ask.
breethomas/bette-think 13
lno-prioritize Find out if you're spending time on the wrong things. Categorize backlog by Leverage/Neutral/Overhead and challenge your time allocation.
breethomas/bette-think 13
agency-ladder Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.
breethomas/bette-think 13
calibrate Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
breethomas/bette-think 13
reflect Pattern recognition across your product decisions. Analyzes saved strategy sessions to surface themes, recurring risks, and suggested next steps.
breethomas/bette-think 13
coder Apply Brian Balfour's CODER framework to drive organizational AI adoption. Constraints, Ownership, Directives, Expectations, Rewards.
breethomas/bette-think 13
pm-frameworks Expert knowledge of proven product management frameworks for discovery, growth, measurement, planning, and AI-era practices.
breethomas/bette-think 13
prd-writer Full 5-stage PRD framework for complex features. Use for deep PRD work via /spec --deep full-prd. For quick feature specs, use /spec --feature instead.
breethomas/bette-think 13
pmf-survey Create and analyze a PMF survey using Rahul Vohra's Superhuman framework. The magic 40% benchmark for product-market fit.
breethomas/bette-think 13
growth-loops Find your growth loop or stay stuck in linear acquisition hell. Identify viral, content, network, and paid loop opportunities using Elena Verna's framework.
breethomas/bette-think 13
spec Write specifications at the right depth for any project. Progressive disclosure from quick Linear issues to full AI feature specs. Embeds Linear Method philosophy (brevity, clarity, momentum) with context engineering for AI features. Use for any spec work - quick tasks, features, or AI products.
breethomas/bette-think 13