plan-review

Build a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback. Use when you need to build an annotation tool, review traces, or collect human labels.

This skill should only be used when the user uses the word workflow and asks to review changes (select mode = light, light-plus, heavy) with verification and context handoff/pickup to avoid context rot.

Use this agent when you need to review TypeScript code changes with an extremely high quality bar. This agent should be invoked after implementing features, modifying existing code, or creating new TypeScript components. The agent applies Kieran's strict TypeScript conventions and taste preferences to ensure code meets exceptional standards.\n\n.

Use this agent when you need to review Python code changes with an extremely high quality bar. This agent should be invoked after implementing features, modifying existing code, or creating new Python modules. The agent applies Kieran's strict Python conventions and taste preferences to ensure code meets exceptional standards.\n\n.

Use this agent when you need a final review pass to ensure code changes are as simple and minimal as possible. This agent should be invoked after implementation is complete but before finalizing changes, to identify opportunities for simplification, remove unnecessary complexity, and ensure adherence to YAGNI principles.

Focused parity review for a feature/PR. Use when validating action/context parity and generating a capability map + findings.

This skill should only be used when the user uses the word workflow and asks to create a commit-ready, deep project plan from a shaped packet (brief, breadboard, risks, spikes) before development starts, with handoff/pickup boundaries to avoid context rot.

This skill should be used when deepening a plan with parallel research agents for each section.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Map and refactor an agent context ecosystem: skills, commands/workflows, hooks, agent files, AGENTS.md templates, and docs. Output system map, module/dependency design, Register updates, and a concrete split/consolidate/rename/delete plan. Use when routing or ownership is messy.

This skill should be used when fixing incorrect SKILL.md files with outdated instructions or APIs.

Expert guidance for creating, writing, and refining Claude Code Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices.