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Found 999 Skills
Follow this sub-process for code optimization — handle tasks where 'behavior remains unchanged but structure changes' (structure / performance / readability). Shift single-module internal optimization from 'AI random refactoring' to 'first scan to generate a checklist, confirm each item with the user, execute step by step according to the method library, and obtain manual approval for each step'. Trigger scenarios: When the user mentions phrases like 'optimize / refactor / rewrite / split / poor performance / too long code' without any accompanying behavior changes. Do not handle new requirements (route to feature), bugs (route to issue), or cross-module architecture restructuring (route to architecture + decisions).
Install and configure a Claude Code status line that displays real-time ZenMux account information: subscription tier, 5-hour and 7-day quota usage with color-coded progress bars, and PAYG wallet balance, alongside standard session info (model, git, context usage, prompt cache). Trigger on: "status line", "statusline", "set up status bar", "show ZenMux in status bar", "install ZenMux statusline", "configure status line with ZenMux", "状态栏", "配置状态栏", "安装状态栏", "在状态栏显示ZenMux信息". Activate when user wants to SET UP, INSTALL, CONFIGURE, or CUSTOMIZE a Claude Code status line that includes ZenMux account data. Do NOT trigger for querying usage interactively (use zenmux-usage), docs (use zenmux-context), or general setup (use zenmux-setup).
8 页极简方向键 keynote — 每页一个独立单色背景（靛 / 奶 / 绛 / 翠 / 灰 / 紫 / 白 / 炭），各自配色，160px display 标题 + 4px 短粗 accent 线分隔、箭头 → 前缀的 Mono 列表、左下 ← → kbd 提示 + 右下页码、巨大呼吸留白。适合"有话要说但没什么可看"的 keynote、launch、公开演讲。
Controls a running iOS, iPad, or Apple Watch Simulator via the serve-sim CLI (npx serve-sim) and streams it into the host agent's preview pane. Use whenever the user wants an AI agent to view or drive an Apple Simulator — streaming to preview, taps at normalized coordinates, multi-touch gestures, hardware buttons, rotation, memory warnings, CoreAnimation debug, synthetic camera injection, media drag-drop, or managing app privacy permissions. Triggers include "serve-sim", "iOS simulator", "Apple simulator", "iPad simulator", "Apple Watch simulator", "stream the simulator", "show the simulator in preview", "view the simulator here", "open simulator in preview", "simulator gestures", "tap on the simulator", "rotate the simulator", "inject camera feed", "grant simulator permissions", "allow push notifications in the simulator", or any request to drive or display an Apple Simulator visually. Do NOT use for Android emulators, building/installing an iOS app (use xcodebuild), booting a simulator from scratch (use xcrun simctl boot), in-app React Native runtime debugging (use rn-debugger), or real iOS hardware.
Spatial data gridding and interpolation with a machine-learning style API. Process geographic and Cartesian point data onto regular grids. Use when Claude needs to: (1) Grid scattered spatial data onto regular grids, (2) Interpolate point data using splines, linear, or cubic methods, (3) Process geographic coordinates with projections, (4) Reduce large datasets using block averaging, (5) Remove polynomial trends from spatial data, (6) Cross-validate gridding parameters, (7) Create processing pipelines with Chain, (8) Grid vector data like GPS velocities.
Readability and rendering audit for figures and tables in academic manuscripts. Computes effective font/marker sizes at display scale from generation scripts, checks label collisions, color/hatch accessibility, axis-range efficiency, table formatting, and cross-figure consistency. Triggers on: "check figure quality", "audit plots", "readability check", "figure rendering", "are my figures readable", "table formatting check". Companion to figure-rhetoric (visual argument) and manuscript-typography (typesetting).
Use when writing or reading GenVarLoader (gvl) datasets — preparing VCF/PGEN/SVAR variant sources with bcftools/plink2, calling gvl.write, configuring gvl.Dataset for haplotype/reference/annotated/variants output modes, attaching BigWig or Table tracks, setting up spliced haplotypes from a GTF, choosing track insertion-fill strategies for indels, or filtering variants by allele frequency.
Use this skill whenever building, reviewing, or refactoring React components that fetch data from APIs — especially at scale (recommender carousels, infinite feeds, pages with many parallel fetches, dashboards). Covers request orchestration (parallelism, batching, deduplication), cache strategy (keys, normalization, staleTime, SWR), backend protection (concurrency caps, debounce/throttle, jittered retries, circuit breakers), prefetching (route loaders, hover/intent, idle, server hydration), failure resilience (AbortController, timeouts, error boundaries, stale fallback, idempotent mutations), and feed/carousel patterns (virtualization, cursor pagination, summary/detail split). Trigger even if the user doesn't explicitly mention "performance" or "scale" — any non-trivial React data-fetching code benefits from these patterns. Includes 5 ready-to-use scaffolding templates (resource query hook, carousel data loader, infinite feed, hover-prefetch link, request collapser).
Implements Syncfusion .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.
A shared, file-based town square where multiple coding agents talk, coordinate, and debate — no server required. Use whenever more than one agent works the same repo (parallel Claude Code or Codex sessions, separate git worktrees, a fleet splitting a task) and they must stay out of each other's way or think together. TRIGGER on phrasings like "coordinate with the other agent/session", "post to / check the agora", "ask the other agents", "leave a message for whoever's working on X", "announce what files you're touching", "is anyone else editing this?", or any time you're about to edit shared code while other agents are live. Also trigger when an agent is stuck and wants a peer's second opinion, or when several agents each drafted a design (an API, a schema, an architecture) and the group needs to compare the proposals and converge on the best one. Works for any agent that can run a Python script, not just Claude Code.
Split Markdown documents into paragraph blocks with stable IDs and hashes, only replace blocks approved by the user, and output the retention ratio, modification reasons, and issue tracking report. Use when the user asks for "only modify these paragraphs", "partial modification according to review comments", "keep other content unchanged", "generate reviewable modification patch", or requests the rw-revision-patch workflow.
Use when scanning for and cleaning up code slop — duplicate patterns, dead code, misplaced files, and accidentally committed files.