Bree Thomas
Community@breethomas · Denver
Shipping AI products. Building PM tools.
Agent Skills by Bree Thomas
Showing 31 vetted skills indexed across 2 GitHub repositories.
breethomasnow-next-later
Organize projects into Now, Next, and Later roadmaps with markdown or mermaid exports.
breethomaslno-prioritize
Categorize backlog items into Leverage, Neutral, and Overhead categories.
breethomasai-health-check
Audit AI features across six dimensions and grade readiness for pre-launch validation.
breethomasprompt-engineering
Optimize prompts to enforce output formats and reduce hallucinations.
breethomasissue-audit
Analyze a Linear team's issues to surface organization patterns and conventions.
breethomasreflect
Analyze saved strategy sessions to surface patterns, risks, and next steps.
breethomasai-cost-check
Calculate per-request and per-user AI costs and recommend optimizations.
breethomasspec
Generate product specs from vague ideas using the Linear Method.
breethomasstrategy-session
Facilitate product strategy sessions and capture structured decisions.
breethomasgrowth-loops
Identify and design viral, content, network, and paid growth loops.
breethomascontext-engineering
Map context requirements and design runtime discovery strategies for AI features.
breethomasai-debug
Diagnose AI feature failures by auditing symptoms to root causes with the 4D framework.
breethomasshape-up
Convert raw product ideas into structured Shape Up pitches with appetite, solution, and risks.
breethomasagent-workflow
Design AI agent workflows with structured schemas and integration patterns.
breethomasstart-evals
Generate 20 spreadsheet-ready evaluation test cases for AI features.
breethomasworkspace-calibration
Analyze Linear workspace health and usage patterns to surface structural, backlog, and hygiene issues.
breethomascompetitive-research
Analyze competitors by name or URL and generate markdown reports with comparison tables.
breethomasfour-risks
Assess feature proposals against value, usability, feasibility, and viability risks.
breethomasagency-ladder
Plan V1–V3 AI autonomy progression with promotion criteria and control handoffs.
breethomaspm-frameworks
Provide structured product management frameworks for discovery, growth, planning, and measurement.
breethomascalibrate
Calibrate post-launch AI features by documenting error patterns and assessing eval coverage.
breethomasproject-health
Assess a Linear project across seven execution health dimensions.
breethomasfour-fits
Diagnose Market↔Product, Product↔Channel, Channel↔Model, and Model↔Market fits before scaling.
breethomaspmf-survey
Create and analyze PMF surveys to compute the "very disappointed" rate.