Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Finds grant and solicitation opportunities the organization actually qualifies for, runs a hard go/no-go before anyone starts writing, drafts the application or response from past submissions and real program data, and tracks every deadline and reporting obligation that follows an award. Built for nonprofits, government contractors, and education, and it filters daily feeds like SAM.gov or DIBBS down to the handful worth bidding. Runs on Google Drive or M365 with DocuSign and Calendar deepening it, and works from uploaded past submissions plus web research when nothing is connected. Use this whenever a funding or bidding opportunity is in play — including "find grants we qualify for," "should we bid this," "draft the response to this RFP," "we've got 50 solicitations to filter," "what's due on the federal grant," or "help me write the proposal narrative."
TypeScript SDK reference for @imagekit/nodejs — method signatures, parameter and return types (File, Folder, CustomMetadataField), error handling, and examples. Use when writing ImageKit SDK code or calling the imagekit_api execute tool.
Analyze and improve the internal link structure of an AEM Edge Delivery Services site. Builds a link graph from the query index and page content, identifies orphan pages, hub pages, and content silos, and generates specific linking recommendations with suggested anchor text and placement. Use when improving site navigation, fixing orphan pages, strengthening topical authority, or auditing link equity distribution.
Comprehensive JavaScript reference covering 33+ essential concepts every developer should know. From fundamentals like primitives and closures to advanced patterns like async/await and functional programming. Use when explaining JS concepts, debugging JavaScript issues, or teaching JavaScript fundamentals
Linux kernel testing skill for KUnit, kselftest, syzkaller, and LTP. Use when writing KUnit tests, running kselftest harness, configuring syzkaller fuzzing, or integrating KernelCI. Activates on queries about kunit_test_suite, kunit.py, kselftest, syzkaller, kcov, or Linux Test Project
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
Audits dbt documentation coverage and drafts missing model/column descriptions in the project's own house style, one folder at a time, for human review. Use when documenting undocumented models, backfilling missing YAML descriptions, auditing doc coverage, or keeping schema YAML in sync with model SQL — especially on multi-contributor projects where new models routinely land undocumented.
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
Migration guide from @openrouter/sdk to @openrouter/agent for callModel, tool(), stop conditions, and agent features. This skill should be used when code imports callModel, tool(), or stop conditions from @openrouter/sdk and needs to migrate to @openrouter/agent.
Configure, run, and audit DsarPolicy Right-to-Portability exports end to end: author the data map over a subject's related records, resolve a request's subject (email/name/id) to a root-entity record, run an export against an ACTIVE policy (poll a couple of times, then ask before continuing; download once terminal), and read run history. Use when the user needs to set up, edit, execute, or inspect a DsarPolicy or Right-to-Portability (RTP) export, or audit which personal data a policy does not cover yet. TRIGGER when: the user configures a DsarPolicy or RTP data map, authors DsarPolicyPath or DsarPolicyField metadata, runs or exports a subject's portable data, downloads an RTP export file, reviews DsarPolicy run history, or asks what personal data the policy does not cover yet (coverage gap analysis). DO NOT TRIGGER when: the user wants to erase, delete, or remove a subject's records (RTP is portability export, not erasure — this skill deletes nothing), mask sandbox PII, or deploy unrelated metadata.
Implements responsive design systems with mobile-first breakpoints, container queries, fluid typography, and adaptive layouts using Tailwind CSS. Use when users request "responsive design", "mobile-first", "breakpoints", "fluid typography", or "adaptive layout".
Use when bringing 3D assets into Roblox Studio or preparing avatar items: import from Blender, GLB, FBX or OBJ files, AI-generated or image-to-3D meshes (Scenario or other tools), wrong scale or size in studs, mesh faces the wrong way, too many triangles, mesh fails validation, holes or non-watertight meshes, textures too big or blurry, SurfaceAppearance and PBR maps, metalness or normal maps look wrong, rigid accessories and hats, UGC items, Accessory Fitting Tool, out of bounds, AvatarCreationService validation, EditableMesh or EditableImage previews, or generate_mesh.
Use when a task encounters an unexpected failure, user correction, request for a missing capability, or a reusable project pattern is identified. Captures high-value lessons in `.learnings/` and decides whether to promote them to project rules or a standalone skill.
shadcn/ui component patterns with Radix primitives and Tailwind styling. Use when building UI components, using CVA variants, implementing compound components, or styling with data-slot attributes. Triggers on shadcn, cva, cn(), data-slot, Radix, Button, Card, Dialog, VariantProps.
Turn talking-head footage into a finished reel, YouTube Short, or short advertisement with curiosity-led openings, earned payoffs, story-driven cuts, transcript-synced motion graphics, moving B-roll, captions, subtle music, and synchronized sound effects. Use for short-form editing; use edit-video for long-form videos and cut-silences for pause removal alone.
Validate an AEM Edge Delivery Services sitemap.xml against actual site content. Cross-references the sitemap with the query index, checks URL reachability, validates lastmod dates, and identifies missing or orphaned pages. Use when auditing SEO health, preparing for launch, or investigating indexing issues.
Bare-metal SPI and I2C skill for serial peripheral buses. Use when implementing master-mode transfers, register read/write protocols, or debugging bus stalls. Activates on queries about SPI bare-metal, I2C START/STOP, sensor register read, or clock phase/polarity.
Use this skill when the user wants to build AI applications with Weaviate. It contains a high-level index of architectural patterns, 'one-shot' blueprints, and best practices for common use cases. Currently, it includes references for building a Query Agent Chatbot, Data Explorer, Multimodal PDF RAG (Document Search), Basic RAG, Advanced RAG, Basic Agent, Agentic RAG, and optional guidance on how to build a frontend for each of them.
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert opinions. Works like a web research agent but uses X as the source. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "/x-research", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic. NOT for: posting tweets or account management. Note: currently uses recent search (last 7 days). Full-archive search is available on the same pay-per-use X API plan but not yet implemented in this skill.
Guides the creation of agile user stories. Use when the user wants to create a user story. This should trigger for requests such as Create a user story; Write a user story; I need to write a user story; Split feature requirements into user stories. Part of Plinth Toolkit
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.
Design and build custom Claude Code agents with effective descriptions, tool access patterns, and self-documenting prompts. Covers Task tool delegation, model selection, memory limits, and declarative instruction design. Use when: creating custom agents, designing agent descriptions for auto-delegation, troubleshooting agent memory issues, or building agent pipelines.
Alibaba Cloud Resource Center — Global Resource Inventory, Search & Statistics Skill. Provides cross-region, cross-product, and cross-account resource inventory, search, and statistical analysis capabilities. Also supports enabling and disabling Resource Center service. Triggers: "resource center", "resource search", "resource inventory", "resource statistics", "cross-account resource", "global resource", "resource count"
Apple Silicon skill for M-series development and profiling. Use when leveraging unified memory, Metal Performance Shaders, Instruments profiling, sysctl hardware queries, Rosetta 2 behavior, or 16KB page size considerations. Activates on queries about Apple Silicon, unified memory, AMX, MPS, Instruments, Rosetta, or M-series page size
Automatically apply improvements to skills and the ecosystem based on system-reviewer findings and best-practices-learner insights. Workflow for automated improvement identification, priority assessment, safe application, validation, and rollback capability. Use when applying systematic improvements, automating enhancement cycles, bulk updating multiple skills, or implementing ecosystem-wide improvements.
Use this skill when the user asks about "job status", "check if request completed", "cancel request", "why is my request taking so long", "poll for result", "batch requests", "retry failed request", "request timeout", "async operations", "job lifecycle", "manual polling", or needs advanced control over SDK async operations, manual job polling, batch processing, retry logic, or job cancellation
Weather effects in Blender — looping Geometry Nodes rain, snow, dust, ash, and embers with ground hits and splashes, wet surfaces, puddles with animated ripples, wall streaks, snow cover (shader + real snow geometry), storm lightning with multi-stroke flashes and bolts, and engine-ready weather masks. Use for rain, storm, snow, wet street, puddle, dust, or ember scenes
Branch prediction and speculation skill for CPU security and performance. Use when explaining branch predictors, mispredict penalties, speculative execution, Spectre/Meltdown mitigations, or branchless patterns. Activates on queries about branch prediction, speculative execution, Spectre, Meltdown, mispredicts, or branchless code.
Read-only audit of your CRM opportunities for missing fields, stale dates, and stage mismatches - outputs a fix checklist to apply by hand or through update-opportunity. Use when the user asks "check my CRM hygiene", "check my Salesforce or HubSpot data", "clean up my CRM", "audit my opps", "what's missing in the CRM", or "clean up my pipeline".
Build or audit a design system including component library, design tokens, naming conventions, contribution model, and documentation. Use this skill whenever the user wants to build a design system, audit an existing system, define design tokens at the system level, structure a component library, or set up design system governance. Triggers on design system, component library, design tokens, atomic design, atoms, molecules, organisms, design system documentation, Storybook, Figma library, system governance, design contribution model. Also triggers when teams are inconsistent across products and a system is the answer
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.