Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
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Use when writing or debugging movement built on the Mover plugin: custom movement modes, layered moves, movement modifiers, instant effects, mode transitions, input production, or rollback networking for a Mover pawn. Also use when the user mentions 'Mover plugin', 'MoverComponent', 'CharacterMoverComponent', 'UBaseMovementMode', 'FLayeredMoveBase', 'FMoverSyncState', 'FMoverInputCmdContext', 'FProposedMove', 'ProduceInput', 'QueueNextMode', 'QueueLayeredMove', 'MovementModifier', 'InstantMovementEffect', 'ChaosMover', 'NetworkPrediction backend', or 'MoverExamples'. For UCharacterMovementComponent, see ue-character-movement; for replication mechanics, see ue-networking-replication.
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.
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.
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
Compiler frontend skill for lexing, parsing, and type checking. Use when building a lexer/parser, designing AST nodes, implementing symbol tables, type checking, error recovery, or emitting LLVM IR. Activates on queries about lexer, Pratt parser, recursive descent, AST, symbol table, Hindley-Milner, or llvm-sys.
CUDA debugging skill for GPU program correctness. Use when debugging with cuda-gdb, running NVIDIA Compute Sanitizer memcheck/racecheck, analyzing GPU core dumps, or interpreting CUDA error codes 700/702. Activates on queries about cuda-gdb, compute-sanitizer, illegal memory access, launch timeout, or device printf.
Dockerfile optimization guidelines from official Docker documentation. This skill should be used when writing, reviewing, or refactoring Dockerfiles to ensure optimal build time, image size, security, and robustness. Triggers on tasks involving Dockerfile creation, Docker image builds, container optimization, multi-stage builds, build cache, or Docker security hardening
Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration. Also covers ERP (Finance and Operations / F&O) business-data reads and runtime entity, schema, or action discovery; load dv-overview first, then this skill.
Eino orchestration with Graph, Chain, and Workflow. Use when a user needs to build multi-step pipelines, compose components into executable graphs, handle streaming between nodes, use branching or parallel execution, manage state with checkpoints, or understand the Runnable abstraction. Covers Graph (directed graph with cycles), Chain (linear sequential), and Workflow (DAG with field mapping).
Use when a user wants to set up, configure, install, or reconfigure the opencode Fusion agent team—a strong main/build agent that plans and reviews but cannot edit files, delegating all edits to a cheaper sidekick subagent, plus an explore search agent and optional research/design/reviewer/vision specialists. Triggers include “set up fusion,” “configure fusion,” “install fusion,” “fusion setup,” “undo fusion” / “remove fusion,” changing which models the main, sidekick, or explore agents use, or naming a subscription to start from a ready-made profile—for example, “set up fusion with my OpenCode Go subscription” (also OpenCode Zen, ChatGPT Plus/Pro, GitHub Copilot). Writes the global opencode config under ~/.config/opencode/.
Use when asked to “growth loops,” “build a growth engine,” “design a viral loop,” “create a content loop,” “move beyond paid acquisition,” or “why isn't growth compounding.” Helps design self-reinforcing growth systems where output becomes input. The Growth Loops framework (from Brian Balfour / Reforge and Elena Verna) shifts thinking from linear funnels to compounding loops.
Hunting skill for XSS vulnerabilities, built from 174 public bug bounty reports. Use when hunting XSS on any target. For markup injection that reflects raw HTML but does not execute JavaScript (no `<script>`/event-handler execution), see hunt-html-injection—escalate here once script execution is possible.
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.
Kernel memory management skill for Linux mm subsystem. Use when using kmalloc, vmalloc, page allocator, SLUB, or debugging OOM and memory zones. Activates on queries about buddy allocator, kmalloc sizes, vmalloc vs kmalloc, SLUB, memory zones, or kernel OOM.
Configure Grafana Loki for log aggregation and analysis. Set up Promtail for log collection, write LogQL queries, and integrate with Grafana for visualization. Use when implementing lightweight log aggregation, especially in Kubernetes environments.
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.
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.
Use when building anything multi-step, anything that looks repeatable, anything the user mentions reusing, or any workflow with more than ~10 nodes. Triggers on “reuse”, “I do this in another workflow”, “extract”, “modular”, “shared logic”, “subworkflow”, multi-step builds, or any task that mentions logic the user has built before.
Implement OAuth 2.0 authentication with GitHub and Microsoft Entra (Azure AD) in Cloudflare Workers and other edge environments. Covers provider-specific quirks, required headers, scope requirements, and token handling without MSAL. Use when: implementing GitHub OAuth, Microsoft/Azure AD authentication, handling OAuth callbacks, or troubleshooting 403 errors in OAuth flows.
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.
Use when asked to “position my product,” “positioning canvas,” “differentiate from competitors,” “figure out our category,” “repositioning,” or “why customers should pick us.” Helps define competitive alternatives, differentiated value, target customers, and market category. April Dunford's positioning framework from “Obviously Awesome” makes your product's value obvious to the right customers.
Protocol analysis skill for serial bus debugging. Use when decoding I2C/SPI/UART with logic analyzer concepts, sigrok/PulseView, or Python capture scripts. Activates on queries about logic analyzer, sigrok, PulseView, decode I2C SPI UART, or bus protocol capture.
This skill should be used when the user asks for a "simulated beta read", "reader panel", "persona read", "first read before my beta readers", "how would a genre reader react", "would a reader keep going", "pre-beta read", "mock beta readers", or wants structured persona reads of a chapter range before human readers see it. NOT for real reader feedback (use feedback-triage), a paid sensitivity or authenticity read (use editorial-review), or the agent's own line edit (use line-editing).
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".
Watches what customers are saying in public and in private, then does something about it. Aggregates Google, Yelp, and Facebook reviews alongside disputes, tickets, and email into themes backed by verbatim quotes; drafts a reply to every review in the owner's own voice for approval; spots customers who have gone quiet or look likely to leave; and drafts win-back offers for the ones worth keeping. With Shopify connected, order and fulfillment patterns become a sentiment signal too. Works from pasted or exported reviews when nothing is connected. Use this whenever the owner asks about reviews, ratings, reputation, complaints, or repeat business — including "what are people saying about us," "did we get any bad reviews," "how do I respond to this one-star," "our rating dropped," "which customers have gone quiet," "who hasn't ordered in a while," "how do I win them back," or "are customers happy."
Java security checklist covering OWASP Top 10, input validation, injection prevention, and secure coding. Works with Spring, Quarkus, Jakarta EE, and plain Java. Use when reviewing code security, before releases, or when user asks about vulnerabilities
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.
Clinical variant interpretation, from raw variant calls to ACMG-classified recommendations with structural impact analysis. Use for VUS classification, pathogenicity assessment with cited criteria, structure-based variant impact (AlphaFold/PDB), non-coding/regulatory variant effect prediction with sequence deep-learning models (AlphaGenome, Enformer, Borzoi, ChromBPNet, Evo 2), and producing clinical-grade variant reports for return of results or molecular tumor boards. Use whenever a user asks about a variant's significance, an intronic/promoter/enhancer/UTR non-coding variant's functional impact, or needs ACMG classification — even if they don't say “ACMG”.
Independently witness that an Allium loop's convergence claim is true and was reached honestly. Use when the user wants to verify a loop's self-report, confirm tests really pass and no generated test was weakened, produce a convergence certificate or witness record, gate CI on a trustworthy signal, or check that an autonomous run did not cheat its way to green.
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.