workspace calibration

12

breethomas

Analyze Linear workspace health and usage patterns before jumping into backlog work. Like a pre-flight check for a new PM joining a team or organization.

Agency Ladder

12

breethomas

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 the CC/CD framework.

spec

12

breethomas

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.

PM Frameworks

12

breethomas

Expert knowledge of proven product management frameworks for discovery, growth, measurement, planning, and AI-era practices.

AI Cost Check

12

breethomas

Estimate AI feature costs and test whether you actually need the feature. Invokes the ai-cost-analyzer agent for detailed economic modeling.

Strategy Session

12

breethomas

Your product sounding board. Work through product decisions conversationally — Claude gathers context, challenges assumptions, captures decisions, and creates Linear issues.

agent-workflow

12

breethomas

Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.

reflect

12

breethomas

Pattern recognition across your product decisions. Analyzes saved strategy sessions to surface themes, recurring risks, and suggested next steps.

AI Health Check

12

breethomas

Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).

Shape Up

12

breethomas

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.

Competitive Research

12

breethomas

Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights.

four-risks

12

breethomas

Run Marty Cagan's Four Risks assessment on an issue (value, usability, feasibility, viability). Use when evaluating features before building.

growth-loops

12

breethomas

Find your growth loop—or stay stuck in linear acquisition hell. Identify viral, content, network, and paid loop opportunities using Elena Verna's framework.

Four Fits

12

breethomas

Identify which fit is broken before you burn cash scaling. Brian Balfour's framework for validating sustainable growth readiness.

lno-prioritize

12

breethomas

Find out if you're spending time on the wrong things. Categorize backlog by Leverage/Neutral/Overhead and challenge your time allocation.

calibrate

12

breethomas

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.

PRD Writer

12

breethomas

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.

project-health

12

breethomas

Deep-dive health check on a single Linear project. Produces assessment with 7 dimensions - On Track / At Risk / Stalled.

pmf-survey

12

breethomas

Create and analyze a PMF survey using Rahul Vohra's Superhuman framework. The magic 40% benchmark for product-market fit.

ai-debug

12

breethomas

Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.

start-evals

12

breethomas

Start AI evals without overengineering. Create your first 20 test cases in a spreadsheet using a PM-friendly evals approach.

coder

12

breethomas

Apply Brian Balfour's CODER framework to drive organizational AI adoption. Constraints, Ownership, Directives, Expectations, Rewards.

issue-audit

12

breethomas

Understand how a team organizes work in Linear. Helps PMs onboarding to new teams learn conventions, see examples, and know what questions to ask.

prompt-engineering

12

breethomas

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.

Context Engineering

12

breethomas

[ARCHIVED] Full 4D Context Canvas reference. For new AI features, use /spec --ai. For debugging, use /ai-debug. For quality checks, use /context-check.

now-next-later

12

breethomas

Generate a Now-Next-Later roadmap using Janna Bastow's framework. Communicates sequence and certainty without false dates.