lead-researcher
samhvw8/dotfiles
MANDATORY entry point for ALL research tasks. Orchestrates gatherer agents — brain decides agent count, languages, iterations, and depth at runtime based on the actual question. Default languages: EN + ZH + ZH-TW. Triggers: any research request, 'research X', 'what's the best', 'compare X vs Y', 'how should I approach', 'evaluate X', 'deep research', 'comprehensive analysis', 'team research' (live supervised agent-team venue). ALL research goes through lead-researcher first — never spawn gatherer agents directly.
impeccable
samhvw8/dotfiles
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
frontend-audit
samhvw8/dotfiles
Visual design verification loop for matching a goal PNG to a live render. Use when the user shares a design mock / goal image and asks to match the UI to it, asks to "iterate on this design" or "match this 1:1", or calls out visual drift in a previous UI iteration. Provides histogram color sampling, shape inspection (radius/border/shadow/bg-mode/fill-vs-context), computed-style checking on the live render, snap, and side-by-side diff. After every UI change the assistant MUST snap the live render and Read the snap with the Read tool before reporting the change done — skipping that is the
deep-gather
samhvw8/dotfiles
Deep internet gathering — the search-fetch loop, query templates, multi-source/GitHub patterns, and retrieval tools. ONE job: collect raw sources and data from the internet on an assigned topic/language. Run standalone to deep-gather a topic, or as the GATHER-DATA step of lead-researcher's research loop. Does NOT reason, steer, or synthesize — that is lead-researcher's brain. Triggers: 'deep gather', 'gather sources/data on X', 'collect everything about Y'.
github-search
samhvw8/dotfiles
Search GitHub for repos, code, and usage examples using gh CLI. Capabilities: repo discovery, code search, finding library usage patterns, issue/PR search. Actions: search, find, discover repos/code/examples. Keywords: gh, github, search repos, search code, find examples, how to use library, stars, language filter. Use when: finding repositories, searching code patterns, discovering how libraries are used, exploring open source.
claude-ecosystem
samhvw8/dotfiles
ALWAYS invoke this skill when the user asks about Claude Code features, configuration, extensibility, or project setup. ALWAYS invoke when the user wants to create, improve, or refine a Claude Agent Skill — including 'make this a skill', 'turn this into a skill', 'create a skill for X', or asks about SKILL.md authoring, frontmatter, description optimization, progressive disclosure, or triggering strategy. Modules: CLI tool (setup, slash commands, MCP servers, hooks, plugins, CI/CD), extensibility (agents, skills, output styles), CLAUDE.md (project instructions, optimization). Keywords: Claude Code, skill, SKILL.md, agent, hook, plugin, MCP, CLAUDE.md, skill architecture, description optimization, progressive disclosure. For skill body content quality (soul, tensions, mental models), also invoke prompt-architect. Do NOT use for general prompt engineering without a Claude Code context.
