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Found 141 Skills
Use Sifta for candidate sourcing, candidate search, and public profile enrichment in vertical recruitment scenarios for the AI industry. This skill is intended for users looking to find, screen, enrich, or evaluate AI engineers/developers, embodied intelligence talents, solopreneurs/independent developers, founders, AI product managers, GTM/GMT/global expansion/AI marketing talents, and research-focused paper talents. This skill is NOT applicable to general talent search outside these personas, company intelligence, sales leads, outreach, ATS, KOL collaborations, or general web research.
Convert mixed-format datasheets and hardware reference files (PDF, DOCX, HTML, Markdown, XLSX/CSV) into normalized Markdown knowledge files for AI coding agents. Use when a user asks to ingest datasheets, register maps, pinout/timing sheets, revision histories, or internal hardware notes before searching datasheet content or generating code. Produce RAG-ready section chunks, anchors, image references, and metadata under .context/knowledge.
Manage Gitea via CLI. Use when user mentions "tea", "gitea cli", or needs terminal-based Gitea operations.
Orchestrate full development workflow. Use when implementing features, starting structured development, or user mentions "workflow" or "implement issues".
Generate SwiftUI components following Apple HIG. Use when creating iOS UI components, building SwiftUI views, or need code scaffolding for iOS interfaces.
Fast linting/formatting for TypeScript/React. Use when setting up linter, migrating from ESLint/Prettier, or running code quality checks.
Develop SwiftUI applications for iOS/macOS. Use when writing SwiftUI views, managing state, or building Apple platform UIs.
Use when auditing websites for Japanese accessibility compliance, checking JIS X 8341-3 conformance, or advising on Japan's Act for Eliminating Discrimination against Persons with Disabilities.
Advanced TypeScript types (generics, conditionals, mapped, utilities). Use when building type-safe libraries or implementing complex type logic.
Skill to remove the AI-generated feel from Japanese texts. Applicable to technical documents, business documents, blogs, emails, reports, etc. It converts texts that feel "AI-generated", "mechanical" or "soulless" into writing that reads as if it was written by a human.
LaTeX academic paper assistant for English papers (IEEE, ACM, Springer, NeurIPS, ICML). Domains: Deep Learning, Time Series, Industrial Control. Triggers (use ANY module independently): - "compile", "编译", "build latex" → Compilation Module - "format check", "chktex", "格式检查" → Format Check Module - "grammar", "语法", "proofread", "润色" → Grammar Analysis Module - "long sentence", "长句", "simplify" → Long Sentence Analysis Module - "academic tone", "学术表达", "improve writing" → Expression Module - "logic", "coherence", "methodology", "argument structure", "论证" → Logical Coherence & Methodological Depth Module - "translate", "翻译", "中译英", "Chinese to English" → Translation Module - "bib", "bibliography", "参考文献" → Bibliography Module - "deai", "去AI化", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "标题", "title optimization", "create title" → Title Optimization Module
Longbridge Developers platform expert. Use when: (1) querying market data or executing trades via CLI (`longbridge` command), (2) writing Python/Rust programs using the `longbridge` SDK, (3) configuring the Longbridge MCP server for AI tools (Cursor, Claude Code, ChatGPT), (4) integrating Longbridge docs into LLM/RAG systems via llms.txt or Markdown API. Covers all markets: HK, US, CN (SH/SZ), SG, Crypto. Triggers on `longbridge` imports, stock symbols (TSLA.US, 700.HK), API key setup, order placement, WebSocket subscriptions, or any Longbridge platform capability question.