Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Systematic test design with boundary value analysis, equivalence partitioning, decision tables, state transition testing, and combinatorial testing. Use when designing comprehensive test cases, reducing redundant tests, or ensuring systematic coverage.
Qinyan academic citation - first search literature via the Qinyan OpenAPI, then output citations in standard formats such as GB/T 7714, IEEE, APA, MLA, Chicago and Harvard. Strictly follow academic conventions and keep ellipses for information that was not retrieved. Triggers: 文献引用, 参考文献, 引用格式, citation, reference format, 生成引用, 引用管理, 参考文献格式
Analyzes Rails applications and generates comprehensive upgrade reports with breaking changes, deprecations, and step-by-step migration guides for Rails 7.0 through 8.1.1. Use when upgrading Rails applications, planning multi-hop upgrades, or querying version-specific changes.
Query, search, and download public datasets and civic information for the City of Raleigh. Use for live ArcGIS Hub catalog discovery, ArcGIS FeatureServer and MapServer queries, ImageServer imagery exports, official Raleigh geocoding, GoRaleigh transit feeds, guest-public development records, public RaleighNC.gov content, eSCRIBE public meetings, Raleigh fire reports and inspections, and the Raleigh-Wake ECC active incident feed. Do not use for private data, authenticated operations, payments, submissions, bulk crawling, or non-public portals.
Operate React applications as a named tool: inspect and diagnose React/Vite projects, design component boundaries and state flow, implement accessible responsive UI, and verify behavior with the project's tests. Use when a task explicitly involves React, JSX/TSX, React hooks, React Router, Vite React configuration, or React build failures. Do not use for framework-agnostic frontend strategy (route to frontend-engineering), browser automation (route to playwright), accessibility policy or audits (route to web-accessibility), or non-React mobile apps (route to mobile-development).
Clean research code for public release while preserving reported results. Uses release_audit.py to separate safe mechanical cleanup from ask-first behavior risks and identity leaks. Use for release-ready repos, dead experiment branches, config extraction, documented entrypoints, and double-blind code cleanup.
Renders the paper-workspace (outputs + lifecycle progress) into a single self-contained HTML dashboard the author can open in a browser, and refreshes it on request. Use when a researcher says "show me an HTML view", "give me a dashboard", "can I see my progress in a browser", "visualize what's been done", "make an HTML report", or "update the dashboard". Offered as an option whenever a visual overview would help (it is opt-in, not generated unprompted), and re-run after each significant change so the page stays current. The output is one local dashboard.html with inline CSS — no network, no external assets, light/dark aware — listing every generated artifact by stage with clickable links and a recent-activity timeline. Trigger words - html, dashboard, browser view, visualize progress, html report, update the html.
This skill should be used when clarifying a feature, writing a requirements spec, running a structured discovery session, or when users mention requirements-start, requirements-status, requirements-current, requirements-list, requirements-remind, or requirements-end.
Review responsive and flexible layout for accessibility across devices, zoom levels, and orientations. Chains: responsive-accessibility, flexible-typography, information-density. Use when testing an existing interface across screen sizes and zoom levels for accessibility.
Power BI REST API and Fabric REST API automation. PROACTIVELY activate for: (1) calling Power BI REST APIs, (2) embed-token generation (App Owns Data, User Owns Data), (3) service-principal authentication for Power BI, (4) dataset refresh API and refresh status polling, (5) push datasets and streaming, (6) Admin API (workspace/dataset enumeration), (7) Power BI Embedded and the JavaScript SDK (powerbi-client), (8) export-to-file API (PDF/PPTX/PNG), (9) Power BI automation via PowerShell (MicrosoftPowerBIMgmt), (10) Scanner API for tenant inventory, (11) app registration in Microsoft Entra ID. Provides: REST endpoint reference, OAuth/MSAL token recipes, embed-token patterns, refresh automation scripts, JavaScript SDK examples, and PowerShell module recipes.
Pair "what failed first" with "what finally worked" and codify the should-have-known-it insight as an ast-grep rule, a skill, or a CLAUDE.md rule. Meta-skill: invoke ONLY when the user explicitly says "codify today's lessons," "make it a skill," "drop it into lint," or asks to extract a reusable rule from a trial-and-error fix. Do NOT auto-invoke at every task completion. Spares future-you (or another agent) the same trap.
Review Sui Move code that integrates OpenZeppelin Contracts for Sui against the library's own patterns and conventions. Use this when a developer wants their integration checked before shipping. Triggers: \"review my Sui Move code\", \"am I using OpenZeppelin correctly\", \"check this integration\", \"is this idiomatic\", \"review before audit\". Checks correct use of OZ primitives, deviations from examples/doc-comments, upheld invariants, test coverage, and code-quality/style. This is an AI code review, not a formal security audit.
Use when operating at the edge of your capacity — high complexity, deep uncertainty, unfamiliar territory, expensive context — and being confidently wrong would be costly. A conduct posture layered onto whatever skill governs the stage; it changes how you work, not which work you do.
Install Riverpod (flutter_riverpod or riverpod), wrap the app in ProviderScope, run a hello-world provider, and optionally enable riverpod_lint and code generation. Use when starting a Flutter or Dart project with Riverpod, adding the Riverpod dependency, or setting up ProviderScope and a first provider. For version highlights see the official Riverpod docs.
Chinese AI/tech writing de-AI editor for posts, X/Twitter threads, technical essays, product notes, model reviews, and public-writing drafts. Use when the user asks to 去AI味, 改得像本人, 写推特post, 精修中文AI技术文章, or complains about AI-flavored shells such as 不是A而是B, 真正/其实/本质上, 更重要的是, 冒号讲义腔, 空泛总结, 顺滑但没作者判断的稿子.
Reviews Rust test code for unit test patterns, integration test structure, async testing, mocking approaches, and property-based testing. Covers Rust 2024 edition changes including async fn in traits for mocks, #[expect] lint suppression, LazyLock test fixtures, and temporary scope changes affecting test assertions. Use when reviewing _test.rs files, #[cfg(test)] modules, or test infrastructure in Rust projects. Covers tokio::test, test fixtures, and assertion patterns.
Feature implementation with intelligent persona activation, task orchestration, and MCP integration. Use when implementing features, APIs, components, services, or coordinating multi-agent development. Triggers on requests for code implementation, feature development, or complex task orchestration.
Guided setup assistant for self-hosting open-source Agenta and running an agent on it. Use when the user wants to self-host Agenta, set up an Agenta agent on their own machine or server, run an agent locally, or says "help me self-host Agenta", "set up an agent", "self-host and run an agent". Walks the user through the decisions, executes against the OSS self-host docs, and ends with a working, tested agent.
Use when the user asks to "design cloud architecture", "set up Terraform infrastructure", "optimize cloud costs", "plan disaster recovery", "configure multi-region failover", "audit IAM policies", "migrate to cloud", "set up VPC networking", "compare AWS vs GCP vs Azure", or "right-size cloud instances". Expert cloud architecture covering AWS, GCP, Azure, multi-cloud strategy, cost optimization, security, and infrastructure automation.
Make Sentry stack traces readable—upload source maps for JavaScript/TypeScript, or debug files for native and mobile (dSYM, ProGuard/R8, NDK symbols, Dart obfuscation maps, .NET PDBs). Use when frames in Sentry show minified names, bundled paths, hex addresses, “unknown”, or method names with no file/line, instead of your original source.
Audit AI discovery files and agent endpoints at the site root — /llms.txt and /llms-full.txt structure and link health, /agents.md, the UCP merchant profile at /.well-known/ucp (only when no ecommerce module owns it), the ARD /.well-known/ai-catalog.json, and /sitemap_agentic_discovery.xml — plus a robots cross-check that these files are not blocked for the bots meant to read them. Module M21 "AI discovery & agent endpoints" (weight 0 — reported, never scored). Appears in the AI Visibility report only.
Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to up to 15 specialists (8 always + 7 conditional), generates health score. Use when user says audit, full SEO check, analyze my site, or website health check.
Pull real SEO metrics for any domain using Apify scrapers for Semrush and Ahrefs data. Gets domain authority, organic traffic estimates, keyword rankings, backlink profiles, top performing pages, and auto-discovers competitors from keyword overlap. No Semrush/Ahrefs subscription needed — uses Apify actors that scrape public pages.
Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says "hreflang", "i18n SEO", "international SEO", "multi-language", "multi-region", or "language tags".
Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".
Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says "analyze this page", "check page SEO", "single URL", "check this page", "page analysis", or provides a single URL for review.
Find, inspect, recover, identify, or resume earlier coding-agent sessions across Claude Code, Codex, and Pi histories. Use whenever the user asks to locate previous work or continue an earlier agent conversation, regardless of the currently running harness.
Set up a complete outbound email campaign in Smartlead. Asks the user for campaign goal, audience, messaging, schedule, and mailbox allocation. Creates the campaign, adds leads, saves email sequences, sets schedule, and assigns available mailboxes. Use when a user wants to launch email outreach via Smartlead.
Use when setting up SDK testing, configuring contract tests, writing Arazzo test workflows, or running integration tests. Triggers on "SDK testing", "test SDK", "contract testing", "Arazzo tests", "integration tests", "speakeasy test", "mock server", "test generation", "ResponseValidationError"
Install CC0 sound effects from the Elements registry. Use when user needs UI sounds (click, pop, notification), transition sounds (whoosh, swoosh), cinematic sounds (boom, riser, glitch), or audio for video production. Triggers on "sound effect", "SFX", "audio", "notification sound", "click sound", "whoosh", "UI sound", "sound for video", "play sound", "useSound".
Develop, debug, and optimize SGLang LLM serving engine. Use when the user mentions SGLang, sglang, srt, sgl-kernel, LLM serving, model inference, KV cache, attention backend, FlashInfer backend, MLA, MoE routing, MoE dispatch, expert parallelism SGLang, speculative decoding, disaggregated serving, TP/PP/EP, radix cache, continuous batching, chunked prefill, CUDA graph SGLang, model loading, quantization FP8/GPTQ/AWQ, JIT kernel, triton kernel SGLang, DeepSeek serving, EPLB (expert load balancing), HiCache, launch_server, sglang Engine API, LoRA inference, torch.compile SGLang, or asks about serving LLMs with SGLang. Also use when the user wants to add a new model to SGLang, add a new attention backend, debug SGLang serving issues, or optimize SGLang throughput/latency.
Guides development of SIEM detection rules using KQL (Microsoft Sentinel) and SPL (Splunk) query languages, mapped to MITRE ATT&CK v16 techniques. Auto-invoked when the user needs to write SIEM queries, tune alert thresholds, build correlation rules, or manage the detection rule lifecycle. Produces production-ready queries with detection logic patterns, threshold tuning guidance, and lifecycle management.
You **MUST** load this skill before the skill-creator skill AND before making ANY change to, or conducting a review of ANY Agent Skill. Triggers include creating, editing, reviewing, or contributing to any part of an Agent Skill (description, frontmatter, body, references, scripts, trigger evals, conflicts, etc).
Best practices for Snowflake SQL, semi-structured data, and data pipelines built with Dynamic Tables, Streams, Tasks, and Snowpipe. Use when writing Snowflake SQL, designing ingestion or transformation pipelines, tuning warehouse performance and cost, or working with Time Travel, cloning, RBAC, or Iceberg tables on Snowflake.
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.