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Agent Skills

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reflect

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

breethomas
breethomas
102

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
breethomas
102

ai-cost-check

Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.

breethomas
breethomas
102

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
breethomas
102

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
breethomas
102

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
breethomas
102

coder

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

breethomas
breethomas
102

competitive-research

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

breethomas
breethomas
102

four-fits

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

breethomas
breethomas
102

four-risks

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

breethomas
breethomas
102

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
breethomas
102

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
breethomas
102

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
breethomas
102

now-next-later

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

breethomas
breethomas
102

pmf-survey

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

breethomas
breethomas
102

pm-frameworks

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

breethomas
breethomas
102

project-health

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

breethomas
breethomas
102

workspace-calibration

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.

breethomas
breethomas
102

start-evals

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

breethomas
breethomas
102

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
breethomas
102

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
breethomas
102

strategy-session

Your product soundboard. Work through product decisions conversationally - Claude gathers context, challenges assumptions, captures decisions, and creates Linear issues.

breethomas
breethomas
102

jira-read-ticket

Use whenever a user mentions or references a Jira ticket and you want to pull out description, comments, or more.

bkircher
bkircher
101

gh-code-review

Conduct a thorough and in-depth code review. Use this skill when conducting a code review for a PR on GitHub.

bkircher
bkircher
101

gh-run-failure

Use to analyze failures in GitHub pipelines or jobs.

bkircher
bkircher
101

git-commit-message

Formulate a git commit message. Use this skill whenever asked to create a commit message.

bkircher
bkircher
101

english-text-editor

Suggests improvements for English language text but does not rewrite the original. Use when asked to correct spelling or wording and the text is English.

bkircher
bkircher
101

gh-address-comments

Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.

bkircher
bkircher
101

jira-write-ticket

Use when asked to write a Jira ticket.

bkircher
bkircher
101

terraform

Use when writing Terraform.

bkircher
bkircher
101

unit-testing

Use when writing or updating unit tests (in any language).

bkircher
bkircher
101

using-cloud-cli

Cloud CLI patterns for GCP and AWS. Use when running bq queries, gcloud commands, aws commands, or making decisions about cloud services. Covers BigQuery cost optimization and operational best practices.

alexei-led
alexei-led
101

writing-python

Idiomatic Python 3.14+ development. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.

alexei-led
alexei-led
101

writing-typescript

Idiomatic TypeScript development. Use when writing TypeScript code, Node.js services, React apps, or discussing TS patterns. Emphasizes strict typing, composition, and modern tooling (bun/vite).

alexei-led
alexei-led
101

writing-web

Simple web development with HTML, CSS, JS, and HTMX. Use when writing or reviewing web templates, stylesheets, or scripts.

alexei-led
alexei-led
101

using-modern-cli

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alexei-led
alexei-led
101

using-git-worktrees

Creates isolated git worktrees for parallel development. Use when starting feature work needing isolation or working on multiple branches simultaneously. Not for simple branch switching or basic git operations.

alexei-led
alexei-led
101

searching-code

Intelligent codebase search via WarpGrep. Use when user asks "how does X work", "trace flow", "find all implementations", "understand codebase", or needs cross-file exploration in large repos (1000+ files).

alexei-led
alexei-led
101

refactoring-code

Batch refactoring via MorphLLM edit_file. Use for "refactor across files", "batch rename", "update pattern everywhere", large files (500+ lines), or 5+ edits in same file.

alexei-led
alexei-led
101

looking-up-docs

Library documentation via Context7. Use for API references, code examples, framework docs.

alexei-led
alexei-led
101

writing-go

Idiomatic Go 1.25+ development. Use when writing Go code, designing APIs, discussing Go patterns, or reviewing Go implementations. Emphasizes stdlib, concrete types, simple error handling, and minimal dependencies.

alexei-led
alexei-led
101

managing-infra

Infrastructure patterns for Kubernetes, Terraform, Helm, Kustomize, and GitHub Actions. Use when making K8s architectural decisions, choosing between Helm vs Kustomize, structuring Terraform modules, writing CI/CD workflows, or applying security best practices.

alexei-led
alexei-led
101

researching-web

Web research via Perplexity AI. Use for technical comparisons (X vs Y), best practices, industry standards, documentation. Triggers on "research", "compare", "vs", "best practice", "which is better", "pros and cons".

alexei-led
alexei-led
101

testing-e2e

E2E testing with Playwright MCP for browser automation, test generation, and UI testing. Use when discussing E2E tests, Playwright, browser testing, UI automation, visual testing, or accessibility testing. Supports TypeScript tests and Go/HTMX web applications.

alexei-led
alexei-led
101

fixing-code

Fix ALL issues via parallel agents with zero tolerance quality enforcement. Use when user says "fix", "fix issues", "fix errors", "fix all", "fix bugs", "fix lint", "fix tests", or wants to resolve code problems.

alexei-led
alexei-led
101

improving-tests

Review, refactor, and improve test quality. Use when user says "improve tests", "refactor tests", "test coverage", "combine tests", "table-driven", "parametrize", "test.each", "eliminate test waste", or wants to optimize test structure.

alexei-led
alexei-led
101

learn

Extract learnings and generate project-specific customizations (CLAUDE.md, commands, skills, hooks). Use when user says "learn", "extract learnings", "what did we learn", "save learnings", "adapt config", or wants to improve Claude Code based on conversation patterns.

alexei-led
alexei-led
101

reviewing-code

Multi-agent code review for security, quality, and architecture. Use when user says "review", "review code", "check code", "code review", "review my changes", "review this", or wants feedback on their code.

alexei-led
alexei-led
101

brainstorming-ideas

Turn ideas into designs through collaborative dialogue. Use when user wants to brainstorm, design features, explore approaches, or think through implementation before coding.

alexei-led
alexei-led
101

committing-code

Smart git commits with logical grouping. Use when user says "commit", "commit changes", "save changes", "create commit", "bundle commits", "git commit", or wants to commit their work.

alexei-led
alexei-led
101

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.