All authors
Claude Skills by luokai0
github.com/luokai05,222 skills168 installs10,845 views
- Uniprot DatabaseDirect REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.Votes: 0GitHub stars: 11
- UnslothExpert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimizationVotes: 0GitHub stars: 11
- User JourneysUser experience flows - journey mapping, UX validation, error recoveryVotes: 0GitHub stars: 11
- UsfiscaldataQuery the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or ...Votes: 0GitHub stars: 11
- Uspto DatabaseAccess USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.Votes: 0GitHub stars: 11
- VaexUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.Votes: 0GitHub stars: 11
- Vc2 HyperliquidUse this skill to create a HyperLiquid perpetuals and spot wallet for your agent. Trade perps, manage spot balances, transfer USDC between sub-accounts, get prices, place orders — all without exposing private keys.Votes: 0GitHub stars: 11
- Venue TemplatesAccess comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.Votes: 0GitHub stars: 11
- VerlProvides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.Votes: 0GitHub stars: 11
- WalletThe agent's wallet for EVM chain transactions and raw signing. Use this skill when users want to create a wallet, transfer tokens, swap on DEXs, interact with smart contracts, or sign messages. Triggers on "wallet", "create wallet", "transfer ETH", "swap tokens", "send transaction", "check balance", "EVM wallet", "raw signer", "sign message".Votes: 0GitHub stars: 11
- Web ContentSEO and AI discovery (GEO) - schema, ChatGPT/Perplexity optimizationVotes: 0GitHub stars: 11
- Web PaymentsStripe Checkout, subscriptions, webhooks, customer portalVotes: 0GitHub stars: 11
- Weights And BiasesTrack ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platformVotes: 0GitHub stars: 11
- Wendy ContributingExpert guidance on contributing to WendyOS: Yocto builds, agent internals, E2E testing, and system architecture. Use when developers mention: (1) building WendyOS images, (2) meta-wendyos layers or bitbake, (3) wendy-agent development or internals, (4) containerd or nerdctl on WendyOS, (5) E2E tests for wendy-agent, (6) Yocto recipes or bbappend files, (7) mDNS/Avahi service configuration, (8) device identity or UUID generation.Votes: 0GitHub stars: 11
- Wendy LiteExpert guidance on building WASM apps for Wendy Lite MCU firmware on ESP32-C6. Use when developers mention: (1) Wendy Lite or wendy-lite, (2) WASM apps on ESP32 or microcontrollers, (3) WendyLite Swift package or import WendyLite, (4) building C/Rust/Swift/Zig apps for ESP32, (5) WAMR runtime on embedded devices, (6) GPIO/I2C/SPI/UART/NeoPixel from WASM, (7) Embedded Swift on WASM or wasm32-none-none-wasm, (8) BLE provisioning on ESP32-C6, (9) uploading WASM binaries to MCU, (10) TLS/networki...Votes: 0GitHub stars: 11
- WendyExpert guidance on building and deploying apps to WendyOS edge devices. Use when developers mention: (1) Wendy or WendyOS, (2) wendy CLI commands, (3) wendy.json or entitlements, (4) deploying apps to edge devices, (5) remote debugging Swift on ARM64, (6) NVIDIA Jetson or Raspberry Pi apps, (7) cross-compiling Swift for ARM64.Votes: 0GitHub stars: 11
- What If OracleRun structured What-If scenario analysis with multi-branch possibility exploration. Use this skill when the user asks speculative questions like "what if...", "what would happen if...", "what are the possibilities", "explore scenarios", "scenario analysis", "possibility space", "what could go wrong", "best case / worst case", "risk analysis", "contingency planning", "strategic options", or any question about uncertain futures. Also trigger when the user faces a fork-in-the-road decision, want...Votes: 0GitHub stars: 11
- WhisperOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.Votes: 0GitHub stars: 11
- Windows BuilderBuild Windows images with Packer using WinRM communicator and PowerShell provisioners. Use when creating Windows AMIs, Azure images, or VMware templates.Votes: 0GitHub stars: 11
- WoocommerceWooCommerce REST API - products, orders, customers, webhooksVotes: 0GitHub stars: 11
- WorkspaceDynamic multi-repo and monorepo awareness for Claude Code. Analyze workspace topology, track API contracts, and maintain cross-repo context.Votes: 0GitHub stars: 11
- World BuilderCreate and manage generative game zones for Dorothy's Pokemon-style world. Use this skill when creating, updating, or designing game worlds via MCP tools.Votes: 0GitHub stars: 11
- WritingUse this skill to create high-quality academic papers, literature reviews, grant proposals, clinical reports, and other research and scientific documents backed by comprehensive research and real, verifiable citations. Use this skill whenever the user asks for written output such as a report, paper...etc.Votes: 0GitHub stars: 11
- Yield OpportunitiesComprehensive tool for finding and analyzing DeFi yield opportunities across protocols, chains, and asset types. Use when users want to earn yield on crypto assets (staking, lending, liquidity farming, aggregators). Supports exhaustive parallel research using librarian agents, direct web searches, and GitHub repository analysis.Votes: 0GitHub stars: 11
- Zai CliZ.AI CLI providing: - Vision: image/video analysis, OCR, UI-to-code, error diagnosis (GLM-4.6V) - Search: real-time web search with domain/recency filtering - Reader: web page to markdown extraction - Repo: GitHub code search and reading via ZRead - Tools: MCP tool discovery and raw calls - Code: TypeScript tool chaining Use for visual content analysis, web search, page reading, or GitHub exploration. Requires Z_AI_API_KEY.Votes: 0GitHub stars: 11
- Zarr PythonChunked N-D arrays for cloud storage. Compressed arrays, parallel I/O, S3/GCS integration, NumPy/Dask/Xarray compatible, for large-scale scientific computing pipelines.Votes: 0GitHub stars: 11
- Zinc DatabaseAccess ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.Votes: 0GitHub stars: 11
- Solo Founder GtmWhen the user is a solo founder building their GTM motion, wants to scale without hiring, or needs to design an AI agent team for go-to-market. Also use when the user mentions 'solo founder,' 'one-person startup,' 'solopreneur,' 'bootstrapped,' 'no team,' 'AI agents as team,' 'scaling without hiring,' 'founder-led sales,' 'lean GTM,' 'one-person company,' or 'no employees.' This skill covers the complete solo founder GTM playbook from stack selection through agent team design, revenue-stage t...Votes: 0GitHub stars: 11
- Startup Strategy ExpertLaunch and scale startups from zero. Covers idea validation, MVP scoping, market sizing, go-to-market, and fundraising strategy.Votes: 0GitHub stars: 11
- Define HypothesisA hypothesis is a testable prediction about how a change will affect user behavior or business outcomes. It transforms assumptions into explicit statements that can be validated or invalidated through experimentation. Well-formed hypotheses prevent teams from building features based on untested beliefs and create shared understanding of what success looks like.Votes: 0GitHub stars: 11
- Define Jtbd CanvasA Jobs to be Done (JTBD) canvas captures the complete picture of why customers "hire" products to make progress in their lives. Based on Clayton Christensen's framework, JTBD goes beyond features and demographics to understand the underlying motivations—functional, emotional, and social—that drive customer behavior.Votes: 0GitHub stars: 11
- Define Opportunity TreeAn Opportunity Solution Tree (OST) is a visual framework for product discovery that connects business outcomes to customer opportunities and potential solutions. Developed by Teresa Torres, it prevents the common trap of jumping straight to solutions by ensuring every feature idea traces back to a customer need and measurable outcome.Votes: 0GitHub stars: 11
- Define Problem StatementA problem statement is a concise document that frames the problem you're solving, articulates the impact on users and the business, and defines clear success criteria. It serves as the foundation for all subsequent product work by ensuring alignment on *what* problem to solve before jumping to *how* to solve it.Votes: 0GitHub stars: 11
- Deliver Acceptance CriteriaAcceptance criteria define the observable behavior that must be true for a story or feature to be considered done. This skill turns feature context into concise, testable Given/When/Then scenarios that engineers and QA can verify without guessing intent.Votes: 0GitHub stars: 11
- Deliver Edge CasesAn edge cases document systematically catalogs the unusual, boundary, and error scenarios for a feature. While happy-path flows are typically well-specified, edge cases often get discovered in production — causing bugs, poor user experience, and support burden. Documenting edge cases upfront ensures engineering handles them intentionally and QA knows what to test.Votes: 0GitHub stars: 11
- Deliver Launch ChecklistA launch checklist is a comprehensive verification document that ensures all functions are ready before releasing a feature or product. It coordinates across engineering, QA, design, marketing, support, legal, and operations to prevent launch-day surprises. Good launch checklists surface blockers early and create shared accountability for launch readiness.Votes: 0GitHub stars: 11
- Deliver PrdA Product Requirements Document is the primary specification artifact that communicates what to build and why. It bridges the gap between problem understanding and engineering implementation by providing clear requirements, success criteria, and scope boundaries. A good PRD enables engineering to build the right thing while maintaining flexibility on implementation details.Votes: 0GitHub stars: 11
- Deliver Release NotesRelease notes communicate product changes to users in a way that highlights value and builds excitement. Unlike changelogs (which document what changed technically), release notes translate changes into user benefits. Good release notes help users discover new capabilities, understand improvements, and trust that issues are being addressed.Votes: 0GitHub stars: 11
- Deliver User StoriesUser stories are concise descriptions of functionality from the user's perspective. They capture who needs something, what they need, and why — without prescribing how to build it. Good user stories enable teams to break large features into estimable, deliverable increments while maintaining focus on user value.Votes: 0GitHub stars: 11
- Develop AdrAn Architecture Decision Record documents a significant technical decision along with its context and consequences. ADRs capture the "why" behind architectural choices so future team members understand the reasoning — especially important when they question why something was done a particular way. This skill follows Michael Nygard's lightweight ADR format.Votes: 0GitHub stars: 11
- Develop Design RationaleA design rationale document captures the "why" behind design decisions—the context, constraints, alternatives considered, and reasoning that led to a particular solution. While designs themselves show what was built, rationale documents preserve institutional knowledge about why it was built that way.Votes: 0GitHub stars: 11
- Develop Solution BriefA solution brief is a concise, one-page document that communicates the proposed solution to a problem. It serves as the bridge between problem understanding and detailed specification, providing enough context for stakeholders to align on the approach without getting lost in implementation details. The one-page constraint forces clarity and prioritization.Votes: 0GitHub stars: 11
- Develop Spike SummaryA spike summary documents the results of a time-boxed exploration — a focused investigation to reduce uncertainty before committing to implementation. Spikes answer specific questions like "Can we integrate with this API?" or "Is this technology viable for our use case?" The summary captures findings so the team can make informed decisions without the spike participants needing to repeat explanations.Votes: 0GitHub stars: 11
- Discover Competitive AnalysisA competitive analysis provides structured insight into the competitive landscape, helping product teams understand where they stand relative to alternatives and identify opportunities for differentiation. Rather than exhaustively cataloging every competitor, an effective analysis focuses on actionable insights that inform product strategy.Votes: 0GitHub stars: 11
- Discover Interview SynthesisAn interview synthesis transforms raw user research data into structured insights that drive product decisions. Rather than simply listing what participants said, a good synthesis identifies patterns across conversations, connects observations to underlying user needs, and translates findings into actionable recommendations.Votes: 0GitHub stars: 11
- Discover Stakeholder SummaryA stakeholder summary documents the people and groups who have interest in or influence over a project, capturing their needs, concerns, and relationships. Effective stakeholder management often determines project success more than technical execution, making this document essential for navigating organizational complexity.Votes: 0GitHub stars: 11
- Iterate Lessons LogA lessons log entry captures significant learning from projects, incidents, or experiences in a format that's useful to future teams who weren't there. Unlike retrospectives (which focus on team improvement), lessons logs focus on organizational knowledge that transcends individual teams—patterns, anti-patterns, and hard-won wisdom.Votes: 0GitHub stars: 11
- Iterate Pivot DecisionA pivot decision document captures the analysis and rationale behind a strategic direction change—or the decision to stay the course. Based on the Lean Startup concept of "pivot or persevere," this artifact ensures major strategic decisions are made with evidence, communicated clearly, and preserved for organizational learning.Votes: 0GitHub stars: 11
- Iterate Refinement NotesRefinement notes capture the outcomes of backlog refinement (grooming) sessions—what was discussed, what was estimated, and what decisions were made. They serve as a quick reference for team members who missed the session and a historical record of how stories evolved from idea to ready-for-sprint.Votes: 0GitHub stars: 11
- Iterate RetrospectiveA retrospective is a structured reflection that helps teams learn from their experiences and continuously improve. By regularly examining what went well, what didn't, and what to change, teams build a culture of learning and adaptation. The value isn't just in the discussion—it's in the documented actions and follow-through.Votes: 0GitHub stars: 11