В каталоге 182 820 навыков в 14 категориях.
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom...
研究 codex 使用 skill 生成 survey 這件事
Create and maintain AI-agent integration files for Pump.fun SDK work, including AGENTS/CLAUDE/COPILOT/GEMINI instruction...
AI agent integration layer for the Pump SDK — agent instruction files, .well-known discovery, LLM context documents, 15+...
Coordinated multi-wallet trading on Pump.fun
Quick Pump.fun fee shortcut for creator fee sharing setup, shareholder BPS splits, claim/distribution flows, fee-tier ch...
Configure and claim creator fee sharing on Pump.fun tokens
Official Puppeteer Model Context Protocol Server for browser automation.
Drive PWN::AI::Context from pwn_eval.
Drive PWN::AI::Gemini from pwn_eval.
Drive PWN::AI::Ollama from pwn_eval.
Drive PWN::AI::Router from pwn_eval.
Drive PWN::Sessions from pwn_eval.
Execute BioETL py-config-bot profile for role-specific workflow and constraints.
Execute BioETL py-debug-bot profile for role-specific workflow and constraints.
Execute BioETL py-doc-bot profile for role-specific workflow and constraints.
Execute BioETL py-plan-bot profile for role-specific workflow and constraints.
Archived skill guidance for pydantic-ai.
Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and mul...
Build and debug Pydantic AI agents using best practices for dependencies, dynamic system prompts, tools, and structured...
Test and evaluate AI agents and LLM outputs using code-first evaluation framework with strong typing. Use when the user...
Use this skill whenever the user is working with the Pydantic AI framework — including building AI agents, defining stru...
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR corre...
差异基因表达分析(Python DESeq2)。从bulk RNA-seq计数中识别差异表达基因，Wald检验，FDR校正，火山图/MA图，用于RNA-seq分析。
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. T...
Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eIC...
Linear operators for large-scale inverse problems with matrix-free representations. Use when Claude needs to: (1) Define...
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posteri...
Bayesian statistical modeling and probabilistic programming
Bayesian statistical modeling with PyMC v5+. Use when building probabilistic models, specifying priors, running MCMC inf...
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT,...
Python interface to OpenMS for mass spectrometry data analysis. Use for LC-MS/MS proteomics and metabolomics workflows i...
Complete mass spectrometry analysis platform. Use for proteomics workflows feature detection, peptide identification, pr...
Pairwise test generation
PyPTO Kernel module decomposition and construction. Covers semantic module decomposition (split by meaning, define contr...
Genomic file toolkit. Read/write SAM/BAM/CRAM alignments, VCF/BCF variants, FASTA/FASTQ sequences, extract regions, calc...
基因组文件工具包。读写SAM/BAM/CRAM比对文件、VCF/BCF变异文件、FASTA/FASTQ序列，提取区域，计算覆盖度，用于NGS数据处理管道。
Therapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecula...
Therapeutics Data Commons. Conjuntos de dados prontos para IA em descoberta de drogas (ADME, toxicidade, DTI), benchmark...
Python Agent 开发规范（Windows wxauto v4），包括项目结构、模块化、wxauto 使用、IPC 集成、错误处理、测试和部署。
Python FastAPI LLM 추론 엔드포인트를 프로젝트 패턴에 맞게 생성하는 스킬. "/python-endpoint"를 입력하거나, "파이썬 엔드포인트 추가", "LLM 추론 API 만들어줘", "FastAPI...
Python for engineering analysis, numerical computing, and scientific workflows using NumPy, SciPy, SymPy
Distributed training strategies including DistributedDataParallel (DDP) and Fully Sharded Data Parallel (FSDP). Covers m...
Expert guidance for Fully Sharded Data Parallel training with PyTorch FSDP - parameter sharding, mixed precision, CPU of...
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and di...
Deep learning framework (PyTorch Lightning). Organize PyTorch code into LightningModules, configure Trainers for multi-G...
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system,...
Build pytorch model trainer operations. Auto-activating skill for ML Training. Triggers on: pytorch model trainer, pytor...
Translate PyTorch implementations to Triton GPU kernels incrementally. Use when converting PyTorch code to Triton, optim...
PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framewor...
World Q Skill
WCAG 1.4.10 — detects content that requires horizontal scroll at 320px, fixed-width elements, non-shrinking tables, and...
Switches the document to RTL (dir='rtl') and detects layout breakage — overflow, mirrored asymmetry, and non-logical CSS...
WCAG 1.4.4 — verifies text and layout remain functional at 150% zoom (OS Display Scale approximation) and 200% zoom. Det...
Qdrant vector database REST API via curl. Use this skill to store, search, and manage vector embeddings.
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems r...
Manage Qdrant vector database — collections, points, and vector search via the REST API.
Qdrant vector database — collections, upsert, search, filtering, payloads, sparse vectors, BM25
Use this skill for semantic search, long-term memory storage, and RAG (Retrieval Augmented Generation). Enables vector-b...
Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak....
Qdrant sparse vector operations: collection creation with SparseVectorParams, Modifier.IDF for miniCOIL/SPLADE/BM42, ups...
Transfer learning, metrics optimization, and continuous improvement for AI-powered QE agents.
起居注——会话事件记录，tuichao 时写入，morning-court 时读取，追踪跨会话历史
琼瑶小说/电视剧创作思维——言情至上、唯美浪漫、戏剧冲突、经典对白。 触发词：「琼瑶视角」「像琼瑶那样写」「言情小说」「琼瑶剧」「山无棱天地合」。 擅长：爱情小说、电视剧改编、唯美对白、情感冲突、女性视角。
Comprehensive quantum computing toolkit for building, optimizing, and executing quantum circuits. Use when working with...
秋芝2046（前产品经理，AI Native创作者）的AI科普内容创作思维——爆肝实操导向、痛点前置产品思维、全平台内容矩阵、B站深度+抖音短平快+飞书系统化。 触发词：「秋芝2046视角」「像秋芝2046那样写」「AI科普教程」「Deep...
Reference system prompt and tool schemas for Qoder. Use when imitating, comparing, or analyzing Qoder's prompting style;...
Generate accurate, phone-scannable QR codes as PNG or SVG from URLs, local preview links, text, contact/payment/event/Wi...
Create and scan QR codes
Use when resuming work, restoring context, continuing from where you left off, or loading a previous session after compa...
Build a small, rerunnable quality bench for an AI feature's output - or for an AI agent's analysis - and find out whethe...
Orchestrates the QUALITY pipeline stage for egregore work items, running code review, unbloat, and test updates. Use whe...
Generate quant practice notebooks from example questions.
量化交易核心skill套件 — 因子挖掘、Alpha衰减监控、多市场套利、订单路由、压力测试、归因分析、仓位管理、样本外验证、A股T0、加密资金费率套利、Polymarket机器人。对标国际顶级量化基金（Renaissance/Two Si...
The methods a financial-ML result has to survive before it is evidence — purged cross-validation with an embargo, triple...
QuantConnect walk-forward validation and Phase 5 robustness testing (project)
Use AgentPMT external API to run the Quantum Distribution Generator tool with wallet signatures, credits purchase, or cr...
Expert-level quantum computing, Qiskit, quantum algorithms, and quantum information
Quantum computer music composition and performance using quantum circuits, ZX-calculus notation, and quantum instruments
Answer questions using the brain's knowledge with 3-layer search, synthesis, and citation propagation. Use when the user...
Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementin...
Load scoped repository context, then search and navigate a hraness/wordcell Markdown vault with hybrid text retrieval, e...
Implement a production-ready LLM query loop / agent loop for AI applications. Use this skill whenever the user wants to...
Manage shared open-ended quests through one canonical Markdown lifecycle. Use for /quest, listing or opening quests, sta...
Multi-agent quest orchestration. Plans, reviews, builds, and fixes features through coordinated agent handoffs.
Search and fetch real K12 primary, middle, and high school questions from the Tizhuang question-bank service by subject,...
Advanced reasoning skill integrating Atom of Thoughts (AoT) and Chain of Verification (CoVe) frameworks. Use when facin...
Use this skill when facing complex problems requiring rigorous reasoning, systematic decomposition, or factual verificat...
Implements ZenML quick wins to enhance MLOps workflows. Investigates codebase and stack configuration, recommends high-...
QuickChart API 기반 차트 이미지 생성 (API 키 불필요)
Cross-model context handoff via Japanese semantic compression with negentropic coherence validation. Creates portable ca...
Show AgentOps next action.
Turns an AI agent with persistent memory into a quit-smoking sponsor. Use when a person asks for help quitting smoking (...
Turn a list of saved book quotes into a rotating set of iPhone lock-screen wallpapers — bold AI-generated backgrounds wi...
Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python).
Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum system...