Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
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End-to-end bulk RNA-seq orchestrator — takes raw FASTQ reads through QC and trimming (FastQC, fastp/Trim Galore), alignment and quantification (STAR, Salmon, featureCounts), assembles a gene-level counts matrix, then hands off to differential expression (pydeseq2), pathway/GSEA enrichment (pathway-enrichment), and publication figures (scientific-visualization). Use whenever the user has bulk RNA-seq reads or quant output and wants a complete, reproducible differential-expression workflow — e.g. "analyze my RNA-seq", "FASTQ to DESeq2", "run nf-core/rnaseq", "STAR/Salmon quantification", "build a counts matrix for DESeq2", or "go from reads to differentially expressed genes and enriched pathways". Routes between an nf-core/rnaseq (Nextflow) path and a standalone STAR/Salmon path, and covers experimental design, strandedness, and QC gates. For single-cell RNA-seq use the scanpy skill instead.
Analyzes a company's debt-equity mix and determines the optimal capital structure that minimizes WACC. Computes WACC at each debt ratio from 0% to 90%, identifies the minimum, and recommends whether to add or reduce debt with specific debt type matching (maturity, currency, fixed vs floating). Use when analyzing capital structure, optimizing debt levels, evaluating leverage, or when user mentions optimal debt ratio, capital structure, leverage optimization, debt capacity, or recapitalization.
Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
Preliminary trademark clearance search — knock-out screening plus similar-mark queries, producing an annotated list rather than a legal clearance opinion. Use when a new mark is proposed, when asked whether a mark is available or a knock-out search is needed, or when assessing likelihood-of-confusion factors before a full professional search. This skill never concludes that a trademark is conflict-free.
Run structured, behavioral hiring interviews and produce an Interview Execution Pack (plan, questions, scorecard, debrief). Use for interview process, interview questions, interview loop, screening, behavioral interview, structured interview. Category: Hiring & Teams.
Guides corporate legal support—entity structure, board and stockholder governance, corporate resolutions and minutes, equity and cap table mechanics, corporate policies, intercompany arrangements, and corporate closing checklists for financings or M&A. Use when drafting board materials, reviewing governance documents, entity formation or subsidiary setup, stockholder consents, option plan mechanics, D&O considerations at checklist level, or corporate approval packages—not for B2B MSAs and vendor/customer redlines (commercial-counsel), SOC/ISO evidence (compliance-engineer), tax/accounting treatment (senior-revenue-accountant), or employee HRIS and lifecycle operations (people-operations-specialist). For live deal execution—diligence coordination, closing matrix, signing, funds flow—use transaction-manager. For deal thesis, valuation, and negotiation mandate, use transaction-principal. Output is drafting assistance; human counsel must approve binding actions.
Computes cost of equity (CAPM), cost of debt (synthetic rating), and weighted average cost of capital (WACC) for any company in any currency. Handles emerging market risk premiums, bottom-up beta estimation, and multi-country operations. Use when estimating discount rates, computing WACC, determining hurdle rates, analyzing cost of equity or debt, or when user mentions cost of capital, WACC, beta, equity risk premium, country risk premium, or discount rate.
Create a new task with a crypto bounty on OpenAnt. Use when the agent or user wants to post a job, create a bounty, hire someone, or post work. Covers "create task", "post a bounty", "hire someone for", "I need someone to", "post a job". Funding escrow is included by default.
Write a structured escalation brief for an at-risk customer account. Use when an account has escalated, when a customer is threatening churn, when a P1 customer issue needs executive attention, or when preparing an internal save play. Produces a crisp escalation brief with account context, timeline, root cause, business impact, and a clear resolution plan.
Author and change a Cube semantic model — add or edit cubes, views, measures, dimensions, joins and pre-aggregations in YAML — on a dev-mode branch through the Cube MCP tools or the Cube CLI, then commit and build. Use whenever someone wants to add a metric, define a measure or dimension, create a cube or view, join two cubes, fix a model error, rename a field, or expose a field to business users. Triggers on "add a metric", "define revenue", "create a view for", "expose this field", "join orders to customers", "fix the model", "add a pre-aggregation". Read the model first with cube-explore-model. To run a query against the result use cube-run-query; to deploy or check build status use cube-deploy.
Search and inspect a Cube semantic model — cubes, views, measures, dimensions, joins, and the files they live in — through the Cube MCP tools or the Cube CLI. Use whenever someone wants to know what data is available in Cube, where a metric is defined, which cube a field belongs to, how two cubes join, or what a change would affect. Triggers on "what can I query", "what measures do we have", "where is revenue defined", "show me the data model", "what's in this deployment", "which cube has customer email", and impact questions like "what breaks if I rename this". Read the model with this skill before changing it. To edit the model use cube-build-model; to run a query and get numbers back use cube-run-query; to browse workbooks, dashboards and reports use cube-explore-content.
Use when the user needs to judge whether a company's culture is good or bad — whether for investment decisions, job hunting, or partnership evaluation. Typical triggers: the user says "how's this company's culture", "how do I tell if a company is trustworthy", "is this company worth joining/investing in", "what's the founder/CEO like". Core framework: 本分 (do the right things + stop immediately once you find you're wrong) + 平常心 (cut out distractions and return to essentials) + 诚信 (integrity as a zero-tolerance bottom line) + 消费者导向 (end users first). Not applicable to: pure financial analysis, short-term speculative decisions, pure technical evaluation.
50+ chart types with selection criteria, dashboard composition, data tables, KPI cards, sparklines, heatmaps, and accessible data presentation, with React code (Recharts, D3, Nivo) and data-viz tokens. Use when designing charts, dashboards, or any data-dense screen.
Dating master: an emotional insight and coaching system based on pragmatics (Grice), attachment theory (Bowlby/Gottman), and signaling game theory (Spence). It sees the whole of a relationship from a god's-eye view, pinpoints the essence of the problem, and gives a clear direction. The user pastes a chat log or describes a romantic scenario, and it outputs the other person's true intent, a diagnosis of the relationship dynamics, an assessment of signal quality, and action guidance. Trigger words: 「情场高手」「帮我看看」「分析一下」「这段感情怎么办」「ta什么意思」「dating decoder」 Research date: April 2026.
Use for debugger-driven runtime root-cause analysis in Rider-supported solutions and projects, including .NET/C#, F#, VB, C++, Unity, Unreal Engine, and other GameDev or mixed-language projects. Trigger when runtime state or control-flow evidence is needed — actual values, branch taken, call order, thread context, whether execution reaches a chosen line — and cannot be derived confidently from source or logs; when pinning the relevant path would otherwise mean reading many files or tracing a deep call chain; or on an explicit request to debug, set breakpoints, step, or inspect runtime values. Do not use for compile-time or syntax errors, source-obvious bugs, failures already pinpointed by logs/tests, or code merely named debug/Debugger.
Research a topic deeply across multiple sources and produce a sourced, bite-sized brief the user can read in 5 minutes. Use this whenever the user says 'research,' 'deep dive on,' 'tell me about,' 'what's the latest on,' 'do a brief on,' 'TL;DR of [topic],' 'catch me up on,' or asks about something they want to understand quickly but well. Works for AI tools, companies, people, technical concepts, market trends, news events, scientific topics. Output is a markdown brief with sources, pros/cons, and your read on what matters.
Build a deposition preparation outline for a witness — extract their relevant documents from case materials, organize points around the case theory, and surface impeachment material. Use when the user says "prep [witness] for deposition", "build a hearing outline", or "prepare [name] for a pre-hearing conference/trial".
Stream real-time DFlow spot market data over WebSocket, including live top-of-book quotes, ten-level order-book depth, and priority-fee estimates for Solana token pairs. Use when the user wants a live price ticker, a streaming order book, a depth chart, real-time bid/ask for a pair, or to watch priority fees without polling. Read-only market data. To place a swap or take a builder platform fee, use `dflow-spot-trading`.
Build and operate reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Use for DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.
A fractional CFO operating system for Amazon, Shopify, and hybrid ecommerce sellers doing $500K–$30M in annual revenue. Covers unit economics per SKU, cash conversion cycle, inventory investment, advertising efficiency, multi-channel profitability, valuation, and the financial rhythms that keep operators in control. Built from real client engagements across hundreds of ecommerce brands.
TRIGGER THIS when designing employee engagement surveys, analyzing employee feedback, creating action plans based on survey results, tracking engagement trends, planning pulse surveys, or improving employee experience. Designs comprehensive surveys that measure engagement, belonging, and satisfaction with actionable insights and accountability-driven improvement plans.
Plan and audit enterprise onboarding and implementation programs covering kickoff, success criteria, stakeholder mapping, SSO/SCIM, integrations, data migration, sandboxing, training, go-live gates, risk escalation, support handoff, and adoption proof. Use when a sold customer must become live and successful without heroic project management.
Create editable Excalidraw diagrams in Obsidian, standard or animated formats. This skill MUST be used when the user names Excalidraw. It SHOULD be selected from natural-language requests for standalone diagrams, concept relationships, mind maps, editable whiteboards or diagrams whose elements appear in sequence (draw, flowchart, mind map, relationships, whiteboard, step-by-step presentation), without requiring the user to know the skill name. Choose by content and destination; illustration or photo requests need other tools. For diagrams inside HTML Artifacts, MUST prefer HTML/CSS/SVG or the artifact's existing diagram tools; use Excalidraw there only when explicitly requested or a concrete Excalidraw capability is needed. Hand-drawn styling alone is insufficient. Explicit Mermaid requests MUST use mermaid-visualizer instead.
Perform an in-depth analysis of the financial statements of a single A-share listed company, assessing earnings quality, financial health, financial fraud risk, and operational efficiency. Use this skill when users request an in-depth review of a company's financial statements, DuPont analysis, earnings quality checks, balance sheet analysis, cash flow analysis, Z-score, M-score, working capital analysis, or any detailed single-company financial review
Helps users discover and install capabilities from the open agent skills ecosystem. Use when users ask "how do I do X" for specialized tasks, request "find a skill for X", want to extend agent capabilities, or need help with specific domains (testing, design, deployment, etc.).
Plan and run an early-stage fundraising process and produce a Fundraising Pack (raise decision memo, round design brief, pitch narrative + deck outline, investor pipeline + tracker, outreach/follow-up scripts, diligence checklist). Use for fundraising, raising capital, venture capital, pitch deck, investor outreach, pre-seed, seed. Category: Career.
Current Ethereum gas prices, transaction costs, and the real economics of building on Ethereum today. Use when estimating costs, choosing between mainnet and L2s, or when a user asks about Ethereum being expensive. Counters the #1 misconception that Ethereum is expensive to use.
Searches Google's public careers site (careers.google.com) via the Crawlora API and pulls single job postings by id, returning clean JSON. Use when the user wants to search Google Jobs, see what roles Google is hiring for in a location, or pull the full detail of a specific Google Jobs posting.
Apply Agency Theory (Jensen and Meckling, 1976) to diagnose principal-agent problems — moral hazard, adverse selection — and design governance mechanisms to align interests. Use this skill when the user needs to analyze conflicts of interest between owners and managers, design incentive or monitoring structures, evaluate corporate governance effectiveness, or when they ask 'how do we ensure managers act in shareholders interest', 'why is this incentive plan failing', or 'what governance mechanisms reduce agency costs'.
Build or review React Router v7/v8 animation in framework, data, or declarative mode: GSAP page transitions, component enter/exit, scroll effects, useBlocker, route reuse, and cleanup. Use even when GSAP is unnamed, including choosing viewTransition. Also covers hidden-content recovery and first-load performance. Not for Next.js, TanStack Router, React without routing, or isolated GSAP API questions.
Extracts tiles and preprocesses H&E whole slide images with the histolab Python library (OpenSlide), covering slide inspection, tissue masks (TissueMask, BiggestTissueBoxMask), RandomTiler, GridTiler and ScoreTiler extraction, image and morphological filters, and Macenko or Reinhard stain normalization. Use when building a tile dataset from WSI files for deep learning. Use when detecting tissue and excluding background or pen annotations. Use when previewing tile locations and exporting tile CSV reports. Use when normalizing stain variation across slides. Not for spatial proteomics, multiplexed imaging, or deep learning pipelines; use pathml for those.
Observability no-data diagnosis skill for Huawei Cloud AgentArts agent-ops platform. Systematically diagnoses missing metrics, logs, and traces/sessions in agent-ops by checking subscription metadata, data pipeline (APM/AOM/LTS), query parameters, and authentication. Generates root-cause analysis and fix recommendations. Triggers include: "AgentArts no data", "metrics no data", "logs no data", "traces no data", "session no data", "obs diagnosis", "可观测诊断", "无数据诊断", "查不到指标", "查不到日志", "调用链无数据", "agent-ops 无数据"
Review intellectual property clauses in agreements — assignment, ownership, license grants, warranties, indemnities. Use to review IP clauses in employment/consulting/SOW/vendor/license agreements, when asked to check assignment language or license scope, or when an agreement with IP clauses is pasted or attached.
Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate requested installation or version changes to isaac-sim-installation. Defaults to a canonical Isaac 6.1 warehouse and deterministic circular route when the user does not specify another scenario.
Adapts an existing K-12 lesson (math, ELA, science, or social studies) for students at different proficiency levels (below, at, or above grade level). Load this skill BEFORE asking the teacher any clarifying question about the lesson, tiers, or student levels. Triggers on explicit requests to differentiate, tier, or scaffold a lesson, and implicit signals like “my students are at different levels.” Produces 1 teacher-facing differentiation plan and 3 student-ready tier documents as editable Word documents in a single output turn, rendered from one material-source JSON via bundled scripts (shared content is written once so tiers cannot drift). Uses the Learning Commons Knowledge Graph when connected; works without it. This skill adapts a lesson the teacher brings or names. Not for creating a new lesson from scratch—a new-lesson request that asks for differentiated or leveled materials is k12-lesson-plan-creation’s job, one package. Not for grading, rubrics, assessment feedback, or quizzes.
Build maps in React with mapcn, themeable shadcn-style map components built on MapLibre GL and Tailwind CSS. Use when the user wants to add, customize, or theme a map: markers, popups, tooltips, routes, arcs, GeoJSON or choropleth layers, clusters, a globe, custom basemap styles or light/dark theming, or a full map page (analytics dashboard, delivery tracker, store locator) in a React, Next.js, or Vite project using shadcn/ui or Tailwind. Also use when they ask where a map would fit in their app.
Optimize MATLAB design files for GPU Coder to generate faster CUDA code. Iteratively profiles, rewrites, and benchmarks until performance targets are met or diagnostics are resolved. Use when asked to: optimize for GPU Coder, improve GPU codegen performance, profile generated GPU/CUDA code, profile GPU MEX, fix gpuPerformanceAnalyzer diagnostics, speed up GPU MEX, reduce GPU memory transfers, improve kernel parallelism, rewrite MATLAB for CUDA, or run gpuPerformanceAnalyzer.
Transmit and capture RF waveforms using Wireless Testbench with NI USRP radios (X410, X310, N310, N320, N321, N300, X300, E320). Use when generating test signals, transmitting over the air, capturing IQ data, performing loopback tests, configuring multi-antenna setups, or troubleshooting dropped samples and gain settings. Covers basebandTransceiver, basebandTransmitter, basebandReceiver, continuous and once transmit modes, foreground and background capture, and UseRadioBuffer options. Also use when the user mentions transmit waveform, capture signal, IQ data, loopback, RF gain, sample rate, or antenna configuration.
Researches music, artists, playlists, and podcasts via the Crawlora API — Spotify tracks/albums/artists/playlists/profiles, Spotify Podcasts, Apple Podcasts, Discogs, and SoundCloud tracks/profiles/playlists — returning clean JSON. Use when the user wants a track/album/artist's details, a playlist or profile, podcast show/episode info and charts, a record's Discogs release/pressing data, or a SoundCloud track/user's stats.
Use when a Materialize object is behind wall-clock time — high lag in mz_wallclock_global_lag, a stale or lagging materialized view, index, or sink, a freshness alert, results that keep showing old data, or a dataflow whose output cannot keep up with its input.
Ni Haixia Tian Ji (I Ching / Zi Wei Dou Shu / yangzhai feng shui / fate divination). Based on complete transcripts of 24 Ni Haixia Tian Ji lessons plus 527 screenshot evidence items, covering the heavenly way (Zi Wei Dou Shu), the human way (64 hexagrams as philosophy of living), and the earthly way (64 yangzhai feng shui configurations). Can query the knowledge base, the knowledge graph, and the Tian Ji–Ren Ji links. For traditional culture study only.
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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.