Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Build and maintain outcome-based product roadmaps and portfolio views that sequence strategic bets by evidence, not dates. Covers Now/Next/Later views, strategic-bet management, capacity allocation, dependency and confidence mapping, scenario planning, continue/pause/kill/revisit criteria, stakeholder narratives, and roadmap review cadences. Use when building or reviewing a product roadmap, managing a portfolio of bets, or communicating strategic sequencing to stakeholders. Do NOT use for tactical prioritization mechanics (RICE, MoSCoW, Kano, OST — route to product-methodology or product-strategy), for project scheduling or Gantt charts, or for delivery-flow management (route to kanban-guru).
Build type-safe AI agents and graph-based workflows with PydanticAI and PydanticGraph. Agent creation, function tools, capabilities, dependency injection, structured output, streaming, multi-agent patterns, testing, evals, and graph state machines. Use whenever you are building agents, tool-using LLM workflows, or graph-based state machines in Python. Do not use this skill for unrelated requests; route to the nearest named specialist.
Structure high-stakes communication with the Pyramid Principle. Use when preparing executive summaries, recommendations, decision memos, or storyline-driven updates that need a clear answer-first flow and defensible support.
Generate multiple app, favicon, or website icon candidates with either the local QM Icon Studio CLI or Codex built-in image generation with reference icons, then present a contact sheet so the user can choose. Use when building websites or apps and needing reusable icon options.
Qinyan academic paper analysis - performs in-depth analysis and interpretation of a single academic paper, extracting research objectives, methodology, key findings, and research limitations. Implemented via the analyze interface of the Qinyan academic OpenAPI. Trigger words: 论文分析、论文解读、分析论文、paper analysis、analyze paper、论文解析
Core React 19 patterns including hooks, Suspense, lazy loading, component structure, TypeScript best practices, and performance optimization. Use when working with React components, hooks, lazy loading, Suspense boundaries, or React-specific TypeScript patterns.
React Hook Form v7 (RHF, an uncontrolled form library) reference. Also known as rhf / React-Hook-Form. useForm, register, handleSubmit, watch, setValue, getValues, getErrors, reset, Controller, useFieldArray / FieldArray, formState / FormState, ErrorMessage, resolvers (Zod / Yup / Joi), validation, Server Actions / useActionState, DevTools (@hookform/devtools), and TypeScript types
Chain web research, atomic extraction, and durable note capture when the same research-to-notes sequence must repeat. Do not use this skill to design or evaluate an investigation; use `research-methodology` for research questions, methods, and evidence assessment.
Turn a bibliography or literature corpus into a knowledge graph of papers, authors, venues, topics and citation links, then analyze it (citation clusters, key papers, bridging work, research gaps) or export it to Neo4j, Gephi, NetworkX, Obsidian or Markdown-graph tools such as graphify. Use when mapping a research field, building a citation network, finding influential or bridging papers, or visualizing how a literature connects. Zero-dependency builder with optional OpenAlex enrichment.
Enterprise-grade autonomous research paper generation skill for AI coding agents — full papers, literature reviews, theses, whitepapers, surveys, policy briefs — with rigorous methodology, statistical validation, multi-style citations (Harvard / APA / IEEE / MLA / Chicago / Nature / arXiv-numeric), and rich visualizations. Activates on slash commands (`/research`, `/paper`, `/literature-review`, `/whitepaper`, `/thesis`, `/survey`, `/policy`) and on natural-language academic-writing requests. Runtime-neutral — works with Claude Code, OpenCode, Cursor, Cline, Codex, Aider, Amp, Antigravity, and 50+ agents via the `npx skills` installer.
Revolut X order placement, replacement and cancellation. Use when the user asks to "place an order", "buy BTC", "sell ETH", "market order", "limit order", "conditional order", "stop order", "stop-limit order", "take profit", "stop loss", "trigger order", "replace order", "modify order", "cancel order", "cancel all orders", or runs revx order place, revx order replace or revx order cancel commands.
Use when designing RisingWave schemas, writing materialized views, configuring sources or sinks, optimizing streaming SQL performance, troubleshooting slow backfills, setting up CDC, designing time-windowed aggregations, or reviewing a RisingWave streaming pipeline
Use when the user says 'run an seo aeo audit', 'improve my search visibility', 'optimize my site for search engines', or wants the site cited by AI answer engines. Audits on-page SEO and AEO, generates schema markup, and applies fixes on duplicates for review after a snapshot.
Use to configure or verify org-wide AgentWork visibility for supervisors after explicit confirmation. Triggers: let supervisors read AgentWork, configure AgentWork sharing, verify AgentWork OWD, make AgentWork visible to supervisors, change AgentWork internal access. Do not use to filter which reps appear in Command Center; use service-omni-supervisor-config-deploy for that.
Sets up test coverage reporting in a repository and configures upload to Codacy. Detects testing frameworks, CI/CD pipelines, and coverage gaps, then adds the missing pieces to generate and upload coverage reports. Use whenever the user wants to set up coverage, add coverage reporting, integrate coverage with Codacy, fix missing coverage uploads, troubleshoot coverage not showing up, or configure CI to send coverage data. Also trigger when the user mentions test coverage, code coverage, coverage reports, or wants to know why Codacy shows no coverage for their repo.
Smart Money Signal Copy Trade v1.0 — onchainos Agentic Wallet + Cost-Aware TP + Dev/Bundler Safety + Session Risk Control. Triggers when the user mentions smart money strategy, signal strategy, copy trading, whale tracking, KOL copy trading, on-chain signal trading, co-riding addresses, take profit / stop loss, risk preference, or wants to automatically buy/sell based on smart money signals. Runtime file: bot.py (includes Web Dashboard http://localhost:3248) Config file: config.py (hot-reload)
Reviews sqlx database code for compile-time query checking, connection pool management, migration patterns, and PostgreSQL-specific usage. Use when reviewing Rust code that uses sqlx, database queries, connection pools, or migrations. Covers offline mode, type mapping, and transaction patterns.
Use this skill when a user asks how to generate, integrate, or implement a Word-like document editor in ASP.NET Core using Syncfusion. Trigger it for requests involving the Syncfusion ASP.NET Core Document Editor, ASP.NET Core-based editor integration, document editing and formatting, comments and track changes, working with tables and images, managing headers and footers, applying document protection, and building end-to-end document workflows in ASP.NET Core applications.
Create, edit, format, and convert Markdown (.md) documents using Syncfusion Markdown for .NET. Use this skill for Markdown processing and document automation when the user asks to generate Markdown files, modify or format Markdown content, build structured documentation programmatically, automate Markdown workflows, or convert Markdown to other formats using C# code or CSX execution.
Deploy and manage the self-hosted Tailscale/Headscale ecosystem: a Headscale control server, tailscale clients, ACL policies, node lifecycle, subnet routing, DERP relays, backup/migration, and Tailworm security exposure triage. Use when the user mentions Tailscale, Headscale, tailnet, mesh VPN, WireGuard mesh, or self-hosted VPN infrastructure. Do not use this skill for unrelated requests; route to the nearest named specialist.
Vue adapter for TanStack Store, a framework agnostic type-safe store. ALWAYS use when writing code importing \"@tanstack/vue-store\" in a Vue app. Covers the useSelector, useAtom, useStore (deprecated), and _useStore hooks, the re-exported @tanstack/store core API (createStore, createAtom, createAsyncAtom, batch, flush, shallow), debugging, best practices, and migration between @tanstack/vue-store versions.
Use when the user provides a SillyTavern character card (PNG/JSON) and asks to convert, migrate, or port it to the pi coding agent; covers pure prompt, world book, MVU, dice, combat, affinity, economy, hidden information, and multi-agent scenarios.
Query endpoint details, historical insights and assessment conclusions, compromised endpoints, behavior profiles, and process trees, and link machine_id to alerts, insights, and hunts. Use when the user asks about a single endpoint or compromised endpoints. Do not treat the compromised field in an insight as an endpoint conclusion.
Query stored TDIR entity profiles for IPs, domains, URLs, hashes, and other entities; entity ↔ insight ↔ endpoint associations within the platform; and threat intelligence operations summaries (entities summary). Write back human analyst verdicts for entities (entities verdict update) only after explicit user confirmation. Use tdir-investigation-enrichment for standalone real-time BTI intelligence requests. Does not handle threat detection, causal proof, or endpoint compromise determination.
Use when the user says 'clean up my wordpress', 'what is bloating my wordpress', 'find orphaned shortcodes', or 'scan for unused plugins'. Audits orphaned shortcodes from deleted plugins, unused plugins, database bloat, unused media, and leftover data from inactive builders.
Best practices for building, training, evaluating, and deploying neural networks with TensorFlow and Keras. Use when writing tf.data input pipelines, defining or training a Keras model, configuring callbacks for checkpointing and early stopping, evaluating a trained model, or exporting a model for serving.
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.