Skills
98,639 packaged capabilities and playbooks for agents. Install any of them with one command.
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Generates CHANGES.md — an operational index of all OpenSpec changes for a project, with dependency tree, parallelism gates, critical path, multi-agent plan, and per-change scope, governance level, dependencies and "Leer antes" pointers to the knowledge base. Fire-and-forget, no questions asked. Trigger: When user asks to create, build, regenerate, or update CHANGES.md, roadmap, change map, implementation plan; or says "armar CHANGES", "armar roadmap", "crear mapa de changes", "generar plan de implementación", "qué changes necesito", "índice de changes".
Robusta Kubernetes observability and alert automation platform. USE WHEN installing Robusta OR configuring playbooks OR setting up notification sinks OR troubleshooting Kubernetes alerts OR creating custom actions OR integrating with Prometheus/AlertManager OR automating incident remediation.
ALWAYS USE before running .NET tests or answering with a test command or flags. Trigger on "run the tests", "exact dotnet test command", one test/class/category/trait/target framework, combined filters, `--filter-query`, `--no-build`, `--diag`, diagnostic logs, TRX, coverage collection, crash/hang dumps, filter errors, or unrecognized options. Chooses repository-compatible classic, VSTest, bridged MTP, or native MTP syntax for MSTest/xUnit/NUnit/TUnit. DO NOT USE for platform identification alone (platform-detection), writing or debugging test code, interpreting an existing coverage report, CI investigation, migration, or a persistent hot reload/watch loop.
Advanced Rust patterns for ownership, traits, async, error handling, macros, type system tricks, unsafe, and performance. Use when tackling complex Rust problems — not basic syntax, but multi-concern tasks like designing cancellation-safe async services, choosing between trait objects and generics, building typestated APIs, structuring error hierarchies across crate boundaries, writing proc macros, or optimizing hot paths with zero-cost abstractions. Do not use for basic Rust syntax, simple CLI tools, or beginner ownership questions.
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.
Canonical SaaS product UI skill for designing, reviewing, or implementing calm, premium, production-ready interfaces across dashboards, settings, admin/runtime screens, editors, builders, tables, forms, drawers, sidebars, and related public surfaces. Use when you need strong hierarchy, reusable tokens, typography, responsive layout rules, component consistency, and app-surface patterns rather than decorative one-off design.
Woodpecker.co platform help — cold email campaigns, condition-based sequences, email warmup, Bounce Shield, Adaptive Sending, email verification, inbox rotation, centralized inbox, LinkedIn automation, Lead Finder, agency panel, API, webhooks, MCP Server, and CLI. Use when Woodpecker emails are landing in spam, campaign open rates are dropping, you're not sure how to set up condition-based sequences, warmup isn't improving deliverability, the agency panel isn't isolating client data properly, or Woodpecker sending has stopped unexpectedly. Do NOT use for general outbound cadence strategy (use /sales-cadence), cross-platform email deliverability (use /sales-deliverability), email tracking strategy (use /sales-email-tracking), building prospect lists (use /sales-prospect-list), or connecting Woodpecker to other tools via Zapier (use /sales-integration).
💰 Save Token | Token Saver: a guiding skill that helps agents identify and avoid sending duplicate context to LLM APIs. Teaches agents to recognize repeated content and summarize instead of re-sending. Guides agents to recognize duplicated content and avoid re-sending it, thereby saving tokens.
Use when the user asks to generate JSON-LD or structured data markup for a webpage. Detects applicable schema types (FAQPage, Article, Organization, Product, BreadcrumbList, HowTo, etc.) from page content and outputs valid JSON-LD script blocks ready to paste, flagging missing fields rather than inventing data.
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
Search the web using a local SearXNG instance. Use for web searches, finding current information, researching topics, checking news, looking up documentation, or finding recent events. Supports categories: general, news, images, videos, it, science, social media.
Create, describe, publish, or babysit GitHub PRs and GitLab MRs through a human merge decision. Make the change, evidence and recovery easy to inspect; handle CI, conflicts and feedback within the requested scope. Exclude independent review verdicts, approval and merging.
Creates language variants of existing Semgrep rules. Use when porting a Semgrep rule to specified target languages. Takes an existing rule and target languages as input, produces independent rule+test directories for each language.
Use when the user wants to retrieve Twilio SendGrid global email statistics with GET /v3/stats. Supports start/end date ranges, day/week/month aggregation, limit/offset pagination, parent-account on-behalf-of lookups for subusers or customer accounts, global or EU SendGrid API base URLs, dry-run URL preview, and saved SendGrid API key reuse. Do not use for sending email or Email Logs status lookup.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
Comprehensive skill for Sentry error monitoring and performance tracking. Use when Claude needs to (1) Configure Sentry SDKs for error tracking and performance monitoring, (2) Manage releases, source maps, and debug symbols via CLI, (3) Query issues, events, and metrics via API, (4) Set up alerting and notification rules, (5) Configure sampling strategies and quota management, (6) Deploy self-hosted Sentry instances, (7) Integrate with OpenTelemetry for distributed tracing, or any other Sentry automation task.
SEO and AEO (Answer Engine Optimization) best practices including EEAT principles, structured data, and technical SEO. Use when implementing metadata, sitemaps, structured data, or optimizing content for search engines and AI assistants.
This skill should be used after productive sessions to extract learnings and route them to appropriate Reusable Intelligence Infrastructure (RII) components. Use when corrections were made, format drift was fixed, new patterns emerged, or the user explicitly asks to "harvest learnings" or "capture session intelligence". Transforms one-time fixes into permanent organizational knowledge by implementing updates across multiple files.
Register, add, or update existing custom Simulink block libraries and configure block policy and knowledge index. Use when a user wants to register, set up, configure, or add existing .slx library files for agent-assisted model building. Do NOT use when the user wants to create or author a new library from scratch — that requires building-simulink-models.
Reconcile this repository toward the opinionated "golden state" for agentic local development — a per-repo dev CLI, a thin justfile surface, a generated port-offset env contract, a four-file engineer skill, thin CI, and a doctor invariant-enforcer. Run /setup-engineer whenever you want to set up, audit, or repair a repo's local-dev tooling: a fresh repo with nothing, a half-built repo with organic scripts that needs consolidating, or a finished repo you just want to verify still conforms.
Perform SGLang code review in the style of human maintainers by consulting the public PR review episode corpus from project start through 2026-07-27, including inline review threads, top-level PR comments, review submissions, original multilingual text, and multi-round discussions. Use when reviewing SGLang PRs, diffs, patches, or local changes for correctness, tests, performance, GPU/runtime risks, API compatibility, and maintainability.
Use when backfilling missing image alt text on a Shopify store: images with no alt attribute, accessibility alt text for product images, alt text for Files library images, image SEO, or a WCAG/accessibility pass that flags images missing text alternatives. Triggers: "backfill alt text", "fill in missing alt text", "images have no alt", "add alt attributes for accessibility", "image SEO sweep". One mutation, fileUpdate, covers both product media and the Files library. Not for meta titles/descriptions (use shopify-seo-metadata).
Use when someone wants to find product-data problems across a Shopify catalog: "audit my catalog", "find PDP problems", "which products have missing photos / thin or missing descriptions / pricing anomalies", "$0 or compare-at-inverted prices", "products missing type or vendor", "catalog quality sweep", "product data health check", "which listings are broken", "run a catalog audit before a big sale". Read-only: it locates and ranks problems, it does not change anything. Not for FIXING the problems it finds (use shopify-catalog-cleanup for debris/archiving, shopify-seo-metadata for missing SEO meta, shopify-alt-text for missing image alt text).
Detect and prioritize buying-intent signals (funding, hiring, tech changes, job changes, news) and map each to a concrete ColdIQ marketplace endpoint. Use when deciding which intent signals to track for a client, sourcing funding/hiring/acquisition/job-change signals, scoring accounts by signal strength, deciding outreach timing from signal freshness, or stacking signals. Triggers on "intent signals", "buying signals", "trigger events", "funding signal", "hiring signal", "job change", "tech stack change", "signal detection", "when to reach out", "signal stacking". Do NOT use for writing the copy that references the signal (see crawford-method / cold-email-copy), list scoring math (see tam-scoring), or generic search (see coldiq-search-enrich).
Sink short link API operations via OpenAPI. Use when managing short links: creating, querying, updating, deleting, listing, importing, exporting links, configuring smart routing, password protection, unsafe-link warnings, and analytics exports. Also covers AI-powered slug and OpenGraph metadata generation. Triggers: "create short link", "shorten URL", "delete link", "edit link", "list links", "export links", "import links", "link analytics", "export analytics", "AI slug", "AI OpenGraph", "geo routing".
Skeleton UI component library for Svelte applications. Built on Tailwind CSS with comprehensive theming, design tokens, and accessible components. Expert patterns for layouts, forms, data display, and navigation. USE WHEN: user mentions "Skeleton UI", "Skeleton Svelte", asks about "Svelte component library", "Tailwind + Svelte", "Skeleton components", "Svelte design system", "Skeleton theming" DO NOT USE FOR: Other UI libraries - use respective skills (Shadcn, DaisyUI, etc.)
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.