Skills
98,873 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Use when the user asks to write or draft a PhD / doctoral research proposal, research plan, 研究计划书, or 开题报告 — a forward-looking plan of background, gap, research questions, methodology, timeline, and significance, in English or Chinese. Triggers: "write a research proposal", "PhD proposal", "doctoral proposal", "研究计划书", "开题报告", "写博士研究计划". The literature-corpus half of 开题报告 (exhaustive, reproducible retrieval with recall evidence) belongs to the lit-search skill; this skill consumes its outputs (dois.md / references.md — the default formatted list; references.bib only when lit-search ran with --bibtex). Not for backward-looking literature reviews / 综述 / surveys (use medical-imaging-review). For grant applications (国自然/NSF) it drafts and structures the CONTENT (立项依据/研究内容/…) but never fills a funder's own form system or budget tables.
Comprehensive expertise in automated crypto trading systems, including DEX sniping bots, arbitrage strategies, MEV protection, Telegram trading bots, and anti-rug protection. Use when "trading bot, sniping bot, arbitrage bot, Telegram trading, DEX bot, MEV bot, copy trading, auto trading, token sniper" is mentioned.
Use this skill when authoring, planning, or running a declarative `sbxenv.yaml` file for Docker Sandboxes (`sbx env create/run/plan/exec/rm`), even if the user just says they want to "check in a sandbox config", "make onboarding reproducible for a sandbox", "run a setup script before the agent starts", or "define arguments for a shared sandbox environment". Covers the sbxenv.yaml schema (schemaVersion, agent, kits, workspace/additionalWorkspaces, args, env, secrets, registries, bindings, mcp, ports, sandboxOptions), host `lifecycle:` commands (initialize/postCreate/preRemove) and their approval-plan model, multi-file merge (`-f`-style deep merge and the user-level `.sbxenv.yaml` base layer), and file-write-protection (`sandboxOptions.writableEnvFiles`).
Use this skill when authoring, verifying, publishing, or composing a Docker Sandboxes kit, even if the user just says they want to "add a tool to a sandbox agent", "package a CLI or agent as a kit", "publish a kit to a registry", or "give a mixin its own credentials and network access". Covers the v3 kit descriptor (`# syntax=docker/sandbox-kit:3`, `kind: workload` or `mixin`, typed capabilities, provides/requires, content recipes), building with docker buildx, checking with kit-tck and `sbx kit inspect`, composing onto a workload, and publishing and signing. Legacy v2 `spec.yaml` kits are not covered; `sbx kit validate` is not a substitute for kit-tck conformance and runtime checks.
SMS and MMS deep-dive reference. Covers SMS-specific error codes, message filtering troubleshooting ("Messages Being Filtered or Blocked?" diagnostic checklist), MMS media support (US/CA/AU only), and SMS pumping indicators. For sending SMS, use twilio-send-message instead. Use this skill only when debugging SMS delivery issues or needing SMS-specific details not in the consolidated send skill
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance
Check whether a RevenueCat user currently has access to a paid feature via entitlements. Use when the user asks to gate a feature behind premium, check if the user has a pro subscription, read customerInfo active entitlements, show or hide a feature based on subscription status, react to entitlement changes, or 'is the user subscribed' on iOS, Android, Kotlin Multiplatform, Flutter, or React Native.
Collect and submit developer feedback to the LiveAvatar team. Use when: (1) A LiveAvatar integration is done, working, finished, or complete, (2) The user says "it works", "we're done", "that's it", "ship it", (3) The user is frustrated, stuck, or giving up — "this is broken", "this doesn't work", "I'm stuck", "I give up", "this is frustrating", "I want to report an issue", (4) The user explicitly asks to give feedback, report a bug, file an issue, or share a suggestion about LiveAvatar, (5) You've seen 3+ failed attempts at the same integration step, (6) You just finished writing or generating LiveAvatar integration code for the user.
Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering). Capabilities: text-to-image, multi-image editing, complex text rendering. Triggers: qwen image, qwen-image, alibaba image, dashscope image, qwen image 2, qwen image pro
Generate images with Alibaba Qwen-Image-2.0-Pro via inference.sh CLI. Professional text rendering, fine-grained realism, enhanced semantic adherence. Ideal for posters, banners, and text-heavy designs. Triggers: qwen image pro, qwen-image-pro, qwen 2 pro, alibaba image pro, dashscope pro, professional text rendering
Create, extract, and apply portable visual design systems via visual-style.md files. Use when: (1) Creating a visual-style.md design system from scratch, (2) Extracting a visual style from a website URL, video, or PDF brand guide, (3) Applying a visual style to HeyGen videos, HTML slides, Figma, or paper.design, (4) Browsing the gallery of pre-built visual styles (Swiss, Saul Bass, Game Boy, etc.), (5) User mentions "visual style", "design system", "brand style", or "style guide", (6) Styling a HeyGen video with a consistent design language.
Virtual QA Lead that turns requirements into review-ready, TestRail-importable test cases in one conversation. Use it whenever the user has requirements, a spec, a user story, or acceptance criteria (PDF, DOCX, XLSX, TXT, MD, or pasted text) and wants test cases, a test plan, a checklist, test coverage, a regression suite, or a TestRail/Qase/Zephyr export, even without saying “test cases” (“write tests for this spec”, “what should we check here?”). Especially useful when they attach their team's existing test cases to match. When the spec describes an API (endpoints, status codes, schemas, auth, OpenAPI/Swagger), Casely also builds a runnable Postman collection, so use it for “API tests”, “Postman collection”, or “tests I can run in Newman/CI”. Triggers on the same request in any language.
Audit an existing social media account and its content — the retrospective reality-check of what's working and what isn't. Use when someone wants to "audit my content/account," "what's working and what isn't," "clean up my profile/feed," "I post a lot but it's not working," or to triage an existing account before replanning. Produces a keep/kill/refresh triage, maps pillar coverage, catches voice drift, and fixes profile fundamentals — then a quick-wins-vs-long-term roadmap. Uses the AUDIT framework. Reads brand-profile + content-pillars + social-strategy (the plan) and analytics-and-reporting (the data) first. It reads WoopSocial post analytics on covered platforms and native dashboards otherwise, scores on signal not vanity, recommends rather than auto-deletes, and never fabricates. Feeds content-recycling, content-pillars, profile-optimization, voice-builder, and social-strategy. Distinct from analytics-and-reporting (ongoing measurement) and competitor-analysis (rivals).
Run a dbt Fusion project with Astronomer Cosmos. Use when running a dbt Fusion project with Astronomer Cosmos (Cosmos 1.11+, ExecutionMode.LOCAL on Snowflake/Databricks). Before implementing, verify dbt engine is Fusion (not Core), the warehouse is supported, and local execution is acceptable. Does not cover dbt Core.
Pre-ship gate — runs detector, verifies brief and tokens, applies the 10-pass finish bar, ranks findings by feedback hierarchy. Use when the user wants to ship, merge, or finalize a surface and needs a verdict (READY / NOT READY / BLOCKED) before committing. Invoke when the user asks for finalize on their UI, or mentions 'finalize' alongside design / UI / frontend work.
Guides consumption and understanding of Fusion backend services, APIs, and patterns for frontend/client developers, integrators, and architects. Shows reference implementations, explains architectural decisions, and clarifies contracts. USE FOR: understanding Fusion backend APIs, learning implementation patterns, exploring reference code, choosing the right integration point, and understanding authorization/validation/async patterns. DO NOT USE FOR: modifying backend services, creating new endpoints, database changes, or backend-specific development (use the fusion-services-developer agent or the target backend service repo instead).
Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model, MemoryClient/MemorySettings, the memory MCP server, or any of the framework integrations (LangChain, PydanticAI, CrewAI, AWS Strands, Google ADK, Microsoft Agent Framework, OpenAI Agents, LlamaIndex). Also use when the user mentions the hosted service at memory.neo4jlabs.com, NAMS, the Neo4j Agent Memory Service, the `nams_` API key prefix, or the hosted MCP endpoint. Also use when writing documentation, blog posts, tutorials, PRDs, or code samples for the project, when comparing agent memory approaches, or when positioning graph-native memory against vector-only approaches — even if the user doesn't explicitly name the package. Does NOT handle GraphRAG pipelines — use neo4j-graphrag-skill.
Compare frameworks or tech stacks before committing: side-by-side scoring, total cost of ownership, ecosystem health and migration risk. Use whenever the user asks which framework to pick, X vs Y, whether to switch stacks, or if a migration is worth it.
Comprehensive guide for migrating Create React App (CRA) projects to Next.js. Use when migrating a CRA app, converting React Router to file-based routing, or adopting Next.js patterns like Server Components, App Router, or image optimization.
Deploy, manage, and automate infrastructure on Northflank — a developer platform for building, deploying, and scaling services, jobs, databases, and release workflows on Kubernetes. Use when managing Northflank projects, services, jobs, addons (databases), secrets, domains, templates (IaC), environments, preview environments, pipelines, release flows, BYOC/BYOK clusters, GPU workloads, AI sandboxes, or interacting with the Northflank API/CLI/JS client. Covers REST API, CLI (`northflank` command), and JavaScript client (`@northflank/js-client`).
Use this skill any time a .pptx or .potx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx or .potx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates (.potx), layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx or .potx filename, regardless of what they plan to do with the content afterward. If a .pptx or .potx file needs to be opened, created, or touched, use this skill.
ThinkingAI AE (Agentic Engine) ae-cli manual for AI agent team tasks: managing teams (list, create, update, delete, AI-generate, templates) and executing TeamRuns (start, chat, cancel, reply, result, artifacts). Use when the user asks to find a team, run a team task, check run status, retrieve results or artifacts, or set up multi-agent workflows. Must use ae-cli, read the matching references/<command>.md before composing commands, and never guess team IDs, run IDs, config structures, or parameter formats.
Use this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*, model id in the `model` field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only)
Use this skill when the user asks to "make a math animation", "animate an equation", "use Manim", "make a 3Blue1Brown-style video", "plot or animate a graph/function", "visualize a math/physics/CS concept", "morph one formula into another", "animate a geometric proof", or "render a math explainer". Covers Manim Community Edition — Scenes, Mobjects, animations, LaTeX/MathTex, graphs, updaters/ValueTracker, 3D, and rendering to MP4/GIF via the CLI.
Create and manipulate PDF files programmatically. Use when the user needs to generate PDFs, fill PDF forms, extract PDF content, add watermarks/overlays, or merge documents. Supports both template-based generation (form filling, overlays) and from-scratch creation. Keywords: PDF, document, form, fillable, merge, watermark, extract, text, report.
Query OpenRouter for available AI models, pricing, capabilities, throughput, and provider performance. Use when the user asks about available OpenRouter models, model pricing, model context lengths, model capabilities, provider latency or uptime, throughput limits, supported parameters, wants to search/filter/compare models, or find the fastest provider for a model.
Writes Instagram/Facebook Stories as a content type. Use when someone wants "a Story" / "Stories," "an IG/FB Story sequence," "Story ideas," interactive sticker content (polls, quizzes, question boxes, countdowns, link stickers), a Close Friends drop, a behind-the-scenes or daily-update sequence, or to turn a post into Stories. Stories are the relationship-deepening surface (not reach) — optimise for completion + interaction. Uses the FRAME framework. Reads brand-profile + voice-builder first. The agent drafts frames + sticker copy; WoopSocial schedules/publishes base frames (IG+FB); interactive stickers and DM replies are handled natively in-app by a human; metrics come from native Insights; nothing is fabricated. Distinct from reels-script (reach video) and carousel-writer (Feed swipe).
Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretraining corpus, the Compass eight-task benchmark, or the `waypoint` CLI from the `waypoint-bio` package. Covers embedding microbiome samples, fine-tuning on taxonomic abundance data, benchmarking a checkpoint on Compass, pretraining a GPT-2 model on taxonomic abundance profiles, and converting MetaPhlAn, Kraken2, QIIME 2, or MGnify abundance tables into waypoint format.
Step-by-step agent workflow to configure the OpenAI Codex CLI on any machine (Linux, macOS, Windows) to use OmniRoute as an OpenAI-compatible backend. Detects OS and shell, writes config.toml and 7 named profiles, sets environment variables, and verifies the setup.
Use this skill to determine whether a Lightning Web Component (LWC) is accessible and meets WCAG accessibility guidelines. TRIGGER when the user asks \"is my component accessible?\", \"does my LWC meet accessibility guidelines?\", \"is this component WCAG compliant?\", \"find accessibility problems in this LWC\", \"is this LWC keyboard accessible?\", \"does this component work with a screen reader?\", \"does this component have sufficient color contrast?\", \"check ARIA usage in this LWC\", or \"WCAG 2.2 accessibility check\". Also TRIGGER when the user wants to fix or improve accessibility (a11y, WCAG, ARIA) in an LWC's HTML, JS, or CSS — semantic markup, focus, keyboard nav, contrast, screen-reader labels, WCAG 2.2 SC. Produces `a11y-review.md` with WCAG-cited findings. DO NOT TRIGGER for general LWC generation (use `experience-lwc-generate`) or SLDS visual/design review not focused on accessibility (use `design-systems-slds-validate`).
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks
Use when AE analysis requests mention query/current/service/deployment clusters, current cluster (当前集群), cluster info (集群信息/有哪些集群), global or multi-cluster data, all clusters/all servers, GLOBAL/SLAVE, query-cluster, cluster_query_scope, slave_cluster_id, country/region/server/shard/site/market routing, or when cluster may mean query cluster rather than audience/user segment.
First draft of a common clinic document — practice-area templates (asylum applications, eviction answers, protective order petitions, demand letters), jurisdiction-aware formatting, explicitly a starting point requiring student analysis and attorney review. Use when a student needs a first draft of a motion, letter, petition, declaration, or other clinic document
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.