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Found 5,862 Skills
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
The ultimate autonomous dev pipeline. Combines wavybaby (CoVe verification, skill discovery, MCP tooling) + GSD (roadmaps, phases, plans, discovery, state tracking) + Ralph (autonomous loop with circuit breakers). Generates a PRD, equips itself with the best tools, bootstraps a full GSD .planning/ structure, then runs Ralph to autonomously execute each plan with CoVe-verified code until the milestone is complete.
Creates structured change proposals with specification deltas for new features, breaking changes, or architecture updates. Use when planning features, creating proposals, speccing changes, introducing new capabilities, or starting development workflows. Triggers include "openspec proposal", "create proposal", "plan change", "spec feature", "new capability", "add feature planning", "design spec".
Creates, updates, and manages Agent Skills following the Claude Code style. Use this skill when the user wants to add a new capability, create a new skill, or modify an existing skill.
Highest level of research and reasoning capabilities for complex decision-making with significant consequences, strategic planning, technical architecture decisions, multi-stakeholder problems, or high-complexity troubleshooting requiring expert-level judgment and sophisticated reasoning chains. Prioritizes actively maintained repositories and validates website sources for 2025 relevance.
This skill should be used when the user's request or requirement is ambiguous and needs iterative questioning to become actionable. Trigger on "clarify requirements", "refine requirements", "요구사항 명확히", "요구사항 정리", "뭘 원하는 건지", "make this clearer", "spec this out", "scope this", "/clarify". Turns vague inputs into concrete specs. For strategy blind spots use unknown; for content-vs-form reframing use metamedium.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
Guides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
Query and retrieve AI-predicted protein structures from DeepMind's AlphaFold database. Fetch structures via UniProt accession, interpret pLDDT/PAE confidence scores, and access bulk proteome data for structural biology workflows.
Foundation skill for autonomous protein engineering via the Amina CLI. Use at session start or after conversation compacting when working with AminoAnalytica's Amina CLI or when you need help using the Amina CLI to do protein engineering tasks like: protein design, structure prediction, binder design, docking, molecular dynamics, enzyme engineering, or any mention of Amina/amina-cli.
Integrate Apple Pay payments and Wallet passes using PassKit. Use when adding Apple Pay buttons, creating payment requests, handling payment authorization, adding passes to Wallet, configuring merchant capabilities, managing shipping and contact fields, or working with PKPaymentRequest, PKPaymentAuthorizationController, PKPaymentButton, PKPass, PKAddPassesViewController, PKPassLibrary, or Apple Pay checkout flows.