Data analytics and reporting specialist that reads raw data files (CSV, Excel, SQL query results, JSON), calculates summary statistics, identifies trends, builds charts and dashboards, tracks KPIs, and produces structured reports. Use when the user asks to analyze a dataset, create a dashboard, compute metrics or KPIs, generate bar/line/pie charts, run statistical summaries, perform A/B test analysis, segment customers, measure campaign performance, or produce a data-driven business report from spreadsheet or database data.

Conducts market research, competitor analysis, industry trend identification, and opportunity assessments. Researches market size (TAM/SAM/SOM), compares competitor products and pricing, generates SWOT analyses, identifies emerging signals in a given industry, and produces structured trend briefs or competitive landscape reports. Use when the user asks about market research, competitor comparison, industry analysis, market sizing, product opportunity assessment, consumer behavior research, technology scouting, or investment trend analysis.

Query the CELLxGENE Census (61M+ cells) programmatically. Use when you need expression data across tissues, diseases, or cell types from the largest curated single-cell atlas. Best for population-scale queries, reference atlas comparisons. For analyzing your own data use scanpy or scvi-tools.

Migrate KMP projects from CocoaPods (kotlin("native.cocoapods")) to Swift Package Manager (swiftPMDependencies DSL) — replaces pod() with package(), transforms cocoapods.* imports to swiftPMImport.*, and reconfigures the Xcode project.

Create comprehensive, phased implementation plans with sprints and atomic tasks. Use when user says: "make a plan", "create a plan", "plan this out", "plan the implementation", "help me plan", "design a plan", "draft a plan", "write a plan", "outline the steps", "break this down into tasks", "what's the plan for", or any similar planning request. Also triggers on explicit "/planner" or "/plan" commands.

Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent skills for web apps. Provides templates using @longrun/turtle, Express, SQLite, and ATXP.

Google Workflow: Convert a Gmail message into a Google Tasks entry.

Set up NextAuth.js v5 (Auth.js) with providers, callbacks (jwt, session, signIn), adapter pattern (Prisma/Drizzle), middleware protection, session management, and custom pages.

Use this skill for ANY crypto/tech content creation: tweets, threads, articles, quote tweets, short posts, long-form pieces, or any written content for X/Twitter. Trigger when the user mentions writing, drafting, creating content, tweets, threads, posts, articles, or anything related to content for X/Twitter or crypto/tech commentary. Also trigger when the user asks to review, edit, or improve existing content. Every piece of content goes through the same quality system. If the user says "write me a tweet" or "draft a thread" or "help me with a post" -- use this skill.

Simulate high-stakes reasoning by modeling how top experts in the relevant domain would think, disagree, and converge on a decision. Use when users ask to role-play strongest minds, compare elite viewpoints, or ask: what would be a good group of people to explore X, and what would they say. Trigger for prompts like "think like world-class experts", "simulate top domain specialists", "role-play strongest domain people", and "use four-lens dialogue".

Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (`useLoaderData`).

Defensive Golang coding to prevent panics, silent data corruption, and subtle runtime bugs. Use when encountering nil panics, append aliasing, map concurrent access, float comparison pitfalls, or zero-value design questions. Also use when reviewing code for nil-safety, numeric conversion overflow, resource lifecycle issues (defer in loops), or defensive copying of slices and maps.

Grassroots-first campaign design for anyone being outspent — startups vs. incumbents, NGOs vs. corporate comms, movements vs. state-backed machines, solo brands vs. big-budget competitors. Ideates awareness, launch, fundraising, mobilization, community-build, counter-narrative, referral, founder-story, and coalition campaigns. Triggers on "campaign plan", "marketing strategy", "ad budget", "should I advertise", "paid vs organic", "launch plan", "grassroots", "low budget marketing", "NGO campaign", "outspent", "competitor has bigger budget", "how do I compete without money". Also trigger on any spend asymmetry, collapsing organic reach, rising CPAs, or a trust/credibility problem — even without the word "campaign". Nudge activation when the user debates buying ads, boosting posts, or hiring influencers; they are likely about to burn money on a channel that will not persuade.

生成符合项目规范的 React 组件。当用户要求创建组件、新建 React 组件或生成组件文件时使用

Guide for implementing Shopify apps, extensions, themes, and integrations using GraphQL/REST APIs, Shopify CLI, Polaris UI, and various extension types (Checkout, Admin, POS). Use when building Shopify apps, implementing checkout extensions, customizing admin interfaces, creating themes with Liquid, or integrating with Shopify's APIs.

Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration. Use when user needs: (1) Latest documentation for libraries/frameworks, (2) Documentation in llms.txt format, (3) GitHub repository analysis, (4) Documentation without direct llms.txt support, (5) Multiple documentation sources in parallel

帮助配置和启动本地开发服务器。当用户提到启动开发服务器、dev server、pnpm dev 时使用。

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

Adaptive thinking partner that helps clarify, challenge, and refine ideas through persistent questioning. Auto-detects domain (product, architecture, debugging, process, general) and user mode (exploring, deciding, refining) to adapt question style. Actively pushes back on weak reasoning — flags contradictions, challenges assumptions, stress-tests claims. Produces context-appropriate artifacts when done (design doc, hypothesis list, decision matrix, or key insights). Use this skill when: (1) brainstorming or exploring an idea before implementation, (2) requirements are vague and need clarification, (3) making architectural or product decisions, (4) debugging and need to form hypotheses, (5) refining an approach that's mostly decided. Triggers on: 'brainstorm', 'clarify', 'think through', 'explore', 'help me figure out', 'what should I consider', 'let's think about', 'what could go wrong', 'help me decide'.

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches. AI agents running in CI/CD pipelines.