Portable markdown playbooks for AI agents. Drop them into ~/.claude/skills/ — or wherever your agent reads SKILL.md.
Adversarial code review of a diff or PR to surface real bugs the author would actually want to fix, with a high bar and no theater.
Feature development pipeline - research, plan, track, and implement major features.
Force a skeptical second pass on your own work. Because 'it should work' has never once been true.
Build a real-time support chat system with a floating widget for users and an admin dashboard for support staff.
Make any repository work cleanly with Claude Code Desktop's preview + parallel git worktrees, regardless of language or framework.
Audit user-facing error messages in any codebase against an error-writing rubric. Walks through findings one at a time and proposes rewrites. Use this whenever the user mentions auditing error messages, reviewing error copy, fixing "Something went wrong" messages, error UX, error wording, error tone, or anything about how errors are worded — even if they don't say the word "audit."
Generate favicons from a source image
Generate a branded social media image announcing a new feature or update. Auto-detects brand from your codebase and captures via Playwright.
Final pre-commit sweep — review the session and code changes for anything worth codifying in CLAUDE.md or README.md.
Audits your codebase for the AI/LLM cost bugs that cause surprise bills (runaway retries, missing spend caps, uncapped output, agent loops that never stop) and gives you the exact fix for each.
Generate absurdly thorough project documentation covering local setup, architecture, and deployment.
Turns a finished worktree into three plain sentences about what it actually does for customers, plus the exact env vars, migrations, and setup you need to handle before you deploy it.
Deep research before planning. Launches parallel agents across docs, web, and codebase, then synthesizes findings into actionable context.
Audit a codebase against table-stakes security hygiene and verify the product's security/privacy promises actually hold up in code.
A self-contained SEO content engine that decides what you should publish next, researches and fact-checks it, then ships one publishable piece in your brand voice. Built for 2026 search: every piece carries genuine information gain and is optimized to rank in Google and get cited by AI answer engines like ChatGPT and Perplexity.
A full SEO sprint as a Claude skill. Pulls real keyword data from Ahrefs, drafts a roadmap doc tailored to your site, and then executes it phase by phase — shipping alternative pages, comparison pages, use-case pages, and pillar playbooks with internal-linking and schema checks enforced before each phase ships.
Your branch works, but it's carrying the debris of getting there: debug probes, half-wired surfaces, AI-flavored copy, and whatever you quietly broke on the way. Ship-check runs six passes in order, each as an isolated subagent so your context stays clean, landing the safe fixes automatically and holding every judgment call for one confirmation at the end. You get one report, one review, and a branch that's actually ready to open.
Whimsy finds the spots where your product feels sterile and hands you a pick-list of small, on-brand tweaks to its copy and interactions that make people smile without trying too hard.