skilly-hand

Review code, decisions, and artifacts through an independent committee and safety guard, then optionally run bounded, approval-gated remediation. Trigger: reviewing risky artifacts or remediating structured review findings.

Plan, execute, and verify multi-step work through versioned specs with small, testable tasks. Trigger: planning or executing feature work, bug fixes, and multi-phase implementation.

Guide implementation through evidence-based RED, GREEN, and REFACTOR cycles without assuming a language, framework, or test runner. Trigger: implementing testable behavior or reproducing a regression with tests first.

Guide users from Figma MCP installation and authentication through first canvas creation, with function-level tool coverage and operational recovery patterns.

Capture compact, neutral, AI-ready Markdown handoffs that preserve session context across chats without becoming a full transcript or personal memory store. Trigger: summarizing, compacting, preserving, or handing off session context across chats.

Author root AGENTS.md as a Where/What/When orchestrator that routes tasks and skill invocation clearly.

Create and standardize AI skills with reusable structure, metadata rules, and templates.

Guide GSAP animation implementation using only official GSAP documentation and the official greensock/gsap-skills source material. Trigger: implementing, reviewing, or choosing GSAP for frontend motion, timelines, ScrollTrigger, React useGSAP, gsap.utils, Vue/Svelte/Nuxt animation, GSAP plugins, JavaScript animation libraries, or advanced UI animation.

Guide users in writing, improving, evaluating, and tuning prompts for LLMs across factual, creative, structured, grounded, coding, safety-sensitive, and production scenarios. Trigger: writing, improving, evaluating, or tuning prompts for LLMs.

Scan project configuration and release surfaces for leak and security risks, and enforce security gates on commit, push, and publish workflows across GitHub, GitLab, npm, pnpm, yarn, and generic CI. Trigger: validating repository security posture, preventing secret leaks, or hardening delivery pipelines.

Project-aware frontend design skill that detects the existing tech stack, UI libraries, CSS variables, and design tokens before proposing any UI work. Supports greenfield projects via DESIGN.md context setup, taste-reference extraction, post-generation critique, visual refinement, and Motion/GSAP-aware motion polish.

Guide Motion, formerly Framer Motion, animation implementation using only official Motion documentation. Trigger: implementing, reviewing, or choosing Motion for JavaScript animation, React motion components, gestures, scroll animation, layout animation, exit animation, or framework-agnostic UI motion.

Guide Angular code generation, review, and performance tuning using latest stable Angular verification, official Angular skill guidance, and modern framework best practices. Trigger: generating, reviewing, refactoring, or optimizing Angular code artifacts in Angular projects.

Guide React and Next.js code generation, review, and performance tuning using latest stable React verification and modern framework best practices. Trigger: generating, reviewing, refactoring, or optimizing React code artifacts in React projects.

Challenge plans with constructive roast-style critique that exposes weak assumptions, missing angles, shallow sequencing, and unclear success criteria. Trigger: when the user proposes, requests, or evaluates a plan of any kind.

Audit web accessibility against W3C WCAG 2.2 Level AA using framework-agnostic checks, remediation patterns, and portable command-line scanning.

Optimize output token consumption through compact interpreter modes with controlled expansion when complexity, ambiguity, or risk requires more detail. Trigger: minimizing response verbosity while preserving clarity and correctness.

Scan the active project and teach any concept, code path, or decision using verified information, interactive questions, and simple explanations. Trigger: user asks to explain, understand, clarify, or learn about anything in the project or codebase.

Classify task complexity and right-size reasoning depth, context gathering, and response detail to reduce wasted tokens.

Create and refine user stories with structured quality gates, splitting heuristics, and lightweight story mapping for release slicing. Trigger: writing, restructuring, splitting, or sequencing user stories for delivery-ready backlog work.