Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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For cross-project CRD recipients: independently assess long-term proposals and state a position, provide a focused response, or report implementation results. Proposers use crd. For non-Kubernetes CRDs or code implementation. When code changes are needed, generate a development plan that includes the source CR and an agreement to report back on completion.
Extract a design system from any website URL by driving a real browser with the Playwright CLI. Produces design tokens (JSON), brand assets (logo and favicon when available), a homepage screenshot, and a design-guidelines.md document. Use when the user wants to clone, match, or stay consistent with an external brand.
Expert-level CSS development with modern features and best practices. Use when asked to (1) write or debug CSS, (2) implement layouts with flexbox, grid, or container queries, (3) create animations and transitions, (4) optimize CSS performance, (5) work with CSS preprocessors or CSS-in-JS, (6) implement responsive design, or when phrases like "style", "CSS", "stylesheet", "design", "layout", "animation" appear.
Use this skill when designing a data dashboard—choosing KPIs, structuring layout, applying visual hierarchy, or deciding which BI tool to use. Trigger phrases: ''design a dashboard'', ''build a KPI dashboard'', ''what should my dashboard show'', ''help me layout a dashboard'', ''dashboard for monitoring''. Not for building chart code from scratch (use chart-builder), writing SQL queries (use sql-analyst), or designing marketing landing pages.
Debug the signals pipeline locally end-to-end. Covers emitting test signals from fixtures, monitoring Temporal workflows via the REST API, reading sandbox agent logs from object storage, inspecting Docker sandbox containers, and diagnosing common failures (stale ClickHouse embeddings, agentsh network denials, inactivity timeouts). Use when a signal isn't reaching the inbox, a signal-report-summary workflow fails, or a sandbox task run times out.
Three-agent adversarial debate protocol for strategic decisions. Two advocates steelman opposing positions while a moderator identifies risks and synthesizes a binding consensus. Use when choosing between alternatives, evaluating tradeoffs, or making high-stakes decisions.
Gensyn Delphi information market tools, including the Delphi agent trading competition. List and filter markets (including verifiable-only filter), fetch market details with live on-chain prices and implied probabilities, quote buy/sell trades, execute buy and sell transactions (with automatic token approval and slippage protection), view portfolio positions, browse trade history, query on-chain event data via Goldsky subgraph (buys, sells, redemptions, liquidations, settlements), check subgraph indexing status, redeem winnings from settled markets, liquidate expired or failed markets, manage ERC-20 token allowances, and check wallet ETH and token balances. Uses the @gensyn-ai/gensyn-delphi-sdk npm package on Gensyn testnet, mainnet, or the agent trading competition (competition-testnet — LMSR markets with their own contracts, token and leaderboard at agent-competition.gensyn.ai). Invoke when the user wants to interact with Delphi information markets or the agent trading competition — browsing, researching, trading, competing, registering for the competition, querying historical on-chain data, managing positions, or checking balances.
Audit a codebase against well-known software design principles: SOLID, DRY, YAGNI, KISS, Law of Demeter, Separation of Concerns, Composition over Inheritance, and the code-relevant 12-Factor subset. Scores findings by impact and effort, runs adversarial debate on contested violations, and generates a prioritized DESIGN_AUDIT.md. Use when reviewing code quality beyond what linters catch, assessing design health before a refactor, or onboarding to an unfamiliar codebase. Can be invoked standalone or delegated from tech-debt.
One call to inventory an entire Figma design system — variables/tokens (grouped by collection + mode), components and component sets (with property definitions and per-variant visual specs), and styles (color/text/effect with resolved values). Use when you need the whole design-system picture before generating code or auditing coverage — triggers: “inventory my design system”, “extract all tokens and components”, “what's in this design system”, “dump the design system kit”, “give me every variable, component, and style”, “build a design-system manifest”, “audit my Figma library”. Has a verbosity/scope guard so big files don't blow the response budget. Goes well beyond the native MCP's get_design_context (single-selection) / get_metadata.
Set up local development environments with production parity for DigitalOcean App Platform. Use when setting up local dev, adding devcontainer to a project, running App Platform apps locally, or configuring backing services (Postgres, Redis, Kafka, S3).
Paid advertising strategies for developer audiences on Carbon Ads, BuySellAds, Reddit, and developer newsletters. Covers which platforms work for developers, creating ad creative that doesn't feel like ads, targeting by technology stack, and measuring ad spend ROI. Use when asked about: - Developer advertising - Paid ads for developer tools - Carbon Ads strategy - Reddit advertising for developers - Newsletter sponsorships - Developer ad creative - Targeting developers with ads
Extract cognitive patterns and thinking fingerprints from any text. Use this skill when the user wants to analyze how someone thinks, understand cognitive style, profile writing or speech patterns, compare thinking styles between people, asks "what's my thinking style", "analyze how this person reasons", "cognitive profile", "thinking pattern", "DHDNA", "digital DNA", or wants to understand the mind behind any text. Also trigger when the user provides text and wants deeper insight into the author's reasoning patterns, decision-making style, or cognitive signature.
Compare two Kernel profile snapshots to investigate behavioral differences. Use when an issue (e.g. login failure, captcha, broken automation, vendor mismatch) reproduces on one profile but not another, or when a "good" vs "bad" profile needs to be diffed. Takes two profile IDs/names plus an issue description, downloads and extracts both profiles via the Kernel CLI, and surfaces differences in cookies, storage, preferences, extensions, and login state that could explain the issue.
Call DingTalk Open Platform APIs to search users or get user details, manage departments (search, details, sub-departments, user lists, parent department), send robot one-to-one messages, send group messages, list bots in a group, and query resignation records. Use when needing to search DingTalk users or departments, get user/department details, send robot messages, list group bots, or query resigned employees.
Drive the Duvo public API from the terminal via the `duvo` CLI (`@duvoai/cli`). Use when the user wants to script Duvo — managing automations, Policy, agents, runs, cases, queues, files, skills, connections, Clarity processes, Pulse dashboards, or hitting an arbitrary endpoint via `duvo api` — instead of clicking through the Duvo web UI or hand-crafting `curl` calls.
CodeStable is an AI coding workflow for serious software engineering that keeps humans in the loop. Rather than centering on Agent orchestration, it organizes requirements, architecture, features, issues, and historical decisions to make development driven by Codex and Claude controllable, traceable, and continuously evolvable.
CodeStable is an AI coding workflow for serious software engineering that keeps humans in the loop. Rather than centering on Agent orchestration, it organizes requirements, architecture, features, issues, and historical decisions to make development driven by Codex and Claude controllable, traceable, and continuously evolvable.
CodeStable is an AI coding workflow for serious software engineering that keeps humans in the loop. Rather than centering on Agent orchestration, it organizes requirements, architecture, features, issues, and historical decisions to make development driven by Codex and Claude controllable, traceable, and continuously evolvable.
CodeStable is an AI coding workflow for serious software engineering that keeps humans in the loop. Rather than centering on Agent orchestration, it organizes requirements, architecture, features, issues, and historical decisions to make development driven by Codex and Claude controllable, traceable, and continuously evolvable.
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.
Expert in making multi-agent systems resilient. Specializes in detecting loops, hallucinations, and failures, and implementing self-healing workflows. Use when designing error handling for agent systems, implementing retry strategies, or building resilient AI workflows.
Hypera infrastructure URLs and endpoints reference. Use when user asks about URLs, domains, ingress endpoints, cluster API servers, application URLs, Helm repositories, Git repositories, or needs to check connectivity to services. Provides quick lookup of all external URLs across all environments (hub, dev, prd) and clusters (cafehyna, loyalty, painelclientes, sonora).
Extract architecture, method and result figures from an arXiv ID/link, a public direct PDF URL, or a local paper PDF, save them to an Obsidian images directory, and generate an index. Use when the user asks to extract figures or another research skill needs embeddable images.
Operate on @draft facts — collaboratively refine them into precise, actionable @spec facts. Resolve ambiguities, fill gaps, eliminate contradictions, and sharpen labels until every fact is ready to implement. Use when asked to refine facts, clarify the spec, review facts for quality, or "work on facts" with the user.
Configures, manages, and debugs the Fastly CDN platform — covering service and backend setup, caching and VCL, security features like DDoS/WAF/NGWAF/rate limiting/bot management, TLS certificates and cache purging, the Compute platform, and the REST API. Use when working with Fastly services or domains, setting up edge caching or origin shielding, configuring security features, making Fastly API calls, enabling products, or looking up Fastly documentation. Also applies when troubleshooting 503 errors or SSL/TLS certificate mismatches on Fastly, and for configuring logging endpoints, load balancing, ACLs, or edge dictionaries. Read the relevant reference file before writing any Fastly API call or curl command — request field names (e.g. the backend fields override_host, ssl_cert_hostname, ssl_sni_hostname, use_ssl) are easy to misremember, and a wrong name causes a silent 503 instead of an error, so do not rely on training-knowledge field names.
Complete GPU-accelerated encoding/decoding system for FFmpeg 7.1 LTS and 8.0.1 (latest stable, released 2025-11-20). PROACTIVELY activate for: (1) NVIDIA NVENC/NVDEC encoding, (2) Intel Quick Sync Video (QSV), (3) AMD AMF encoding, (4) Apple VideoToolbox, (5) Linux VAAPI setup, (6) Vulkan Video 8.0 (FFv1, AV1, VP9, ProRes RAW), (7) VVC/H.266 hardware decoding (VAAPI/QSV), (8) GPU pipeline optimization with pad_cuda, (9) Docker GPU containers, (10) Performance benchmarking. Provides: Platform-specific commands, preset comparisons, quality tuning, full GPU pipeline examples, Vulkan compute codecs, VVC decoding, troubleshooting guides. Ensures: Maximum encoding speed with optimal quality using GPU acceleration.
Complete shape and graphics overlay system. PROACTIVELY activate for: (1) Drawing rectangles (drawbox), (2) Grid overlays (drawgrid), (3) Circles and ellipses (geq), (4) Image watermarks and logos, (5) Lower third graphics, (6) Progress bars and indicators, (7) Animated overlays, (8) Blend modes and compositing, (9) Safe area guides, (10) Generated patterns (gradients, noise, checkerboards). Provides: Filter syntax reference, position expressions, color format guide, blend mode examples, performance optimization tips. Ensures: Professional graphics overlays and visual effects on video.
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.