Browse Skills

Interviews the user relentlessly, one question at a time, to resolve every open decision in a plan, spec, or design idea. Cross-checks answers against the codebase and domain glossary, records resolutions immediately, and surfaces contradictions. Supervised use only.

A supervised interview skill that resolves every open decision in a plan or spec by asking one question at a time, cross-checking answers against the codebase, and recording resolutions immediately. Use when you need to thoroughly stress-test a design before implementation.

Audits the Carbon codebase as a senior advisor to surface improvement opportunities (bugs, security, performance, test coverage, tech debt, migrations, DX) and produces self-contained implementation plans for other AI agents to execute. Strictly read-only; never modifies code.

Reference for Inngest v3 durable functions in Carbon. Use when writing or reviewing Inngest functions, managing concurrency, throttling, debouncing, and debugging retries in Carbon's background jobs.

Reference for Inngest durable functions and background jobs, covering v3 syntax, steps, events, flow control, error handling, and local development. Use when writing or reviewing Inngest functions.

Design engineering principles for polished interfaces: typography, animations, surfaces, and performance. Use when building or reviewing UI components to add micro-interactions, shadows, and optical alignment.

Design engineering principles for making interfaces feel polished. Use when building UI components, reviewing frontend code, implementing animations, hover states, shadows, borders, typography, micro-interactions, enter/exit animations, or any visual detail work.

Creates a detailed, executable implementation plan from a finalized specification, breaking down work into verifiable tasks with exact file paths, commands, and expected outputs. For use in agent-assisted development workflows to plan implementation steps before execution.

Generates a detailed implementation plan from a finalized spec, breaking work into verifiable tasks with exact file paths, commands, and expected outputs for an AI agent to execute mechanically.

Generates a self-contained HTML page that explains a pull request's purpose, changes, and verification, helping reviewers quickly understand complex changes without reading the full diff.

Generates a standalone HTML page that explains a pull request's changes, including the problem, system context, before/after flow, and verification evidence. Use it to help reviewers understand complex changes quickly without relying on GitHub.

Break a large pull request into smaller, reviewable PRs (stacked or parallel) while preserving all original work. Use when a PR is too big, mixes refactors with features, or requires incremental delivery.