Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Other
When the user wants to solve the Traveling Salesman Problem (TSP), find the shortest route visiting all cities, or optimize tour sequences. Also use when the user mentions "TSP," "shortest tour," "Hamiltonian cycle," "tour optimization," "route sequencing," "optimal visit order," "traveling salesperson," or "minimum distance tour." For vehicle routing with capacities, see vehicle-routing-problem.
This skill should be used when the user asks about overvalued, undervalued, fairly valued, P/E ratio, forward P/E, PEG ratio, EV/EBITDA, EV/EBIT, price to earnings, price to sales, price to book, P/FCF, price to free cash flow, DCF, discounted cash flow, intrinsic value, enterprise value, earnings yield, margin of safety, or valuation for a specific company.
Personal solo-dev coding workflow, run only on an explicit "workflow COMMAND" or "/workflow COMMAND" message; never on casual mentions of brainstorm, plan, execute, review or learn elsewhere in a message. Commands: brainstorm, improve, plan, execute, review, park, wrap, status, next, learn, log, todo, bootstrap, realign; bare "workflow" = next.
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, post tasks with bounties, check earnings or wallet balance, sell digital products, list services, or set up as a 0xWork worker/poster. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: managing the 0xWork platform or frontend development.
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
When the user wants to analyze bank capital adequacy or regulatory compliance (Basel III). Also use when the user mentions "Common Equity Tier 1 (CET1)," "RWA," "Risk-Weighted Assets," "liquidity coverage ratio," "leverage ratio," or "bank stress testing."
Guidance for cell-free protein synthesis (CFPS) optimization. Use when: (1) Planning CFPS experiments, (2) Troubleshooting low yield or aggregation, (3) Optimizing DNA template design for CFPS, (4) Expressing difficult proteins (disulfide-rich, toxic, membrane).
Skill dedicated to a tile and wood flooring buying guide. Covers wood-grain tiles and continuous laying, installation techniques, wood flooring selection, skirting boards and threshold stones, kitchen and bathroom tiles, and tile selection across the full process, integrating the highlights of the Xi'an Renovation Classroom member knowledge base in reverse order to help users buy tiles and wood flooring with less hassle and fewer pitfalls.
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
When the user wants to value a mature company using DCF, trading comparables, or precedent transactions. Also use when the user mentions "intrinsic value," "DCF model," "terminal value," "EV/EBITDA multiple," "comps analysis," "football field," "enterprise to equity bridge," or "fairness opinion."
Run a multi-perspective Mind Council deliberation on any question, decision, or creative challenge. Use this skill whenever the user wants diverse viewpoints, needs help making a tough decision, asks for a council/panel/board discussion, wants to explore a problem from multiple angles, requests devil's advocate analysis, or says things like "what would different experts think about this", "help me think through this from all sides", "council mode", "mind council", or "deliberate on this". Also trigger when the user faces a dilemma, trade-off, or complex choice with no obvious answer.
Query documented public database APIs with explicit endpoints, filters, pagination, and provenance. Use when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.
A dedicated skill for ceiling renovation guides. Covers the whole process including kitchen and bathroom ceilings, no-ceiling and plaster cornice options, materials and techniques, floor height and dimensions, and living room ceiling designs, consolidating the highlights of the Xi'an Renovation Classroom members' knowledge base in reverse order to help users get a more worry-free ceiling renovation without pitfalls.
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
Builds and optimizes language model programs with DSPy (Stanford NLP), using Signatures, modules (Predict, ChainOfThought, ReAct, ProgramOfThought) and optimizers (BootstrapFewShot, MIPRO, BootstrapFinetune). Use when replacing hand-written prompts with declarative signatures, when automatically tuning prompts against training data and a metric, when building multi-stage RAG pipelines or ReAct agents, when building classifiers or structured-output programs, or when saving and evaluating optimized LM programs across providers such as Anthropic, OpenAI, or Ollama. Not for quick prototypes or simple chains; use manual prompting or LangChain instead.
Search, retrieve and analyse data from the DUV Ultramarathon Statistics database (statistik.d-u-v.org, 10M+ results, 2.4M+ runners, 115k+ events). Use whenever the user asks about ultramarathon results, runners, races or rankings: national, continental and age-group records and their progression, personal bests, race results and course records, race history and winners, race calendars, IAU championship medallists, head-to-head comparisons, lifetime or yearly ultra mileage, oldest finishers, women who won outright, doping cases. Examples: 'Hungarian 100 km record', 'Spartathlon 2024 results', 'top 24 h women in 2024', 'course record at Ultrabalaton', 'who ran the most km in 2025', 'compare runner A and B'. Also Hungarian: 'országos csúcs', 'magyar rekord', 'pályacsúcs', 'ultrafutó eredmények', 'ki futott a legtöbbet', 'VB-érmesek'. Not for training data from Garmin/Strava or ITRA trail scores
Analyze business cycle phases (expansion, peak, contraction, trough) and their implications for business strategy and policy response. Use this skill when the user needs to identify the current economic phase, anticipate cyclical turning points, or adapt business strategy to macroeconomic cycles — even if they say 'are we heading into a recession', 'how should we prepare for a downturn', or 'when will the economy recover'.
Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.
Tracks ML experiments with SwanLab, an open-source tool covering swanlab.init, config and metric logging, scalar charts, and media logging (images, audio, text, GIFs, point clouds, molecules), in cloud, local (mode="local" with swanlab[dashboard]), or self-hosted setups. Includes integrations for PyTorch, Transformers, PyTorch Lightning, and Fastai. Use when logging metrics and hyperparameters for training runs, comparing runs across seeds, checkpoints, or hyperparameters, running an offline or self-hosted dashboard instead of managed SaaS, logging media alongside scalars, or adding tracking callbacks to a Transformers, Lightning, or Fastai training loop. Not for other trackers such as Weights & Biases or MLflow.
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
Analyze power, knowledge, discourse, and disciplinary mechanisms from Michel Foucault's perspective, revealing the logic of power operating behind everyday institutions. Use when the user explicitly asks for this figure's perspective, mentions "foucault-perspective", or wants to apply his core methods to analyze a problem; do not trigger automatically for general questions.
GCSE English Language tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, Eduqas, and WJEC boards. Use when a student asks for help understanding reading analysis, writing techniques, exam technique, revising for GCSE English Language, practising past paper questions, or improving their creative or transactional writing.
Generate or edit images with AI models through the OpenRouter Image API (Gemini, Seedream, Recraft, GPT-Image, Riverflow). Use for photos, illustrations, artwork, concept art, visual assets, logos, and image editing or compositing from reference images. For flowcharts, circuits, pathways, and other technical diagrams, use the scientific-schematics skill instead.
Queries 20+ bioinformatics databases and analysis services through the gget CLI and Python package, covering Ensembl gene search, info and sequences (ref, search, info, seq), BLAST, BLAT, MUSCLE, DIAMOND, PDB, AlphaFold, ELM, ARCHS4, CELLxGENE, Enrichr, Bgee, OpenTargets, cBioPortal, COSMIC, viral sequence downloads (virus), and 8cube mouse specificity and expression data. Use when looking up gene or transcript details, running a quick BLAST/BLAT search, fetching AlphaFold or PDB structures, running enrichment analysis on a gene list, downloading viral sequences with filters, or exploring disease and drug associations interactively. Not for batch processing or fine-grained BLAST control (use biopython) or multi-database Python pipelines (use bioservices).
Apply behavioral finance theory to identify systematic investor biases and their impact on asset prices. Use this skill when the user needs to analyze irrational market behavior, explain pricing anomalies through cognitive biases, diagnose investor decision errors, or when they ask 'why do investors hold losers too long', 'how does loss aversion affect pricing', or 'what biases drive this market pattern'.
Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, theorem proving, single-cell, or PDE solving. Hugging Science is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces. This skill helps discover and use resources via `datasets`, `transformers`, the HF Inference API, `gradio_client`, and methodology citations.
Generates infographics from natural-language prompts using Nano Banana Pro image generation, with optional Perplexity Sonar research for facts and a Gemini 3.6 Flash quality review that regenerates only when the score is below a document-type threshold. Supports 10 types (statistical, timeline, process, comparison, list, geographic, hierarchical, anatomical, resume, social), 8 industry styles, and colorblind-safe palettes (wong, ibm, tol). Use when turning data or statistics into a visual summary. Use when building timelines, process guides, or side-by-side comparisons. Use when making geographic or organizational chart graphics. Use when producing social media or marketing visuals. Not for technical flowcharts, pathway diagrams, or CONSORT/PRISMA diagrams; use scientific-schematics instead.
Support IATF 16949 internal audit programme - QMS audits, process audits, product audits, and layered process audits. Covers audit planning, checklists, findings, and corrective actions. USE WHEN user says 'internal audit', 'audit checklist', 'process audit', 'product audit', 'QMS audit', 'audit finding', 'nonconformance', or 'LPA'. Integrates with AutomotiveManufacturing and A3criticalthinking skills.
TRIGGER THIS when preparing interviews, planning hiring processes, creating interview questions, building evaluation frameworks, developing interviewer guides, or standardizing interview approaches. Builds complete interview kits with competency-based questions, scorecards, rubrics, interviewer training, and structured evaluation protocols.
Skill dedicated to a home appliance pitfalls guide. Covers refrigerators and kitchen appliances, air conditioning, underfloor heating and fresh air systems, water heaters and water purification, washing machines and cleaning appliances, TVs, projectors and smart devices, bathroom appliances, and installation markups and after-sales pitfalls across the full process, integrating the highlights of the Xi'an Renovation Classroom member knowledge base in reverse order to help users avoid pitfalls with home appliances with less hassle.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.