Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Cuts a developer audience into a few named, sized and ranked segments - the two dimensions worth cutting on, a size range with a confidence tier, the user/champion/approver/buyer split inside each, a weighted score, one primary and one secondary segment, and a written anti-segment. Use whenever someone asks who their developers actually are, which developer audience to serve first, how big a language ecosystem or persona is, whether to target hobbyists or enterprise platform teams, who signs when the developer is not the buyer, or why content reaches everyone and converts nobody - even if they only say "who is this for". Not the journey map - use samber/developer-relations-skills@developer-journey-map.
Zhang Xuefeng’s thinking framework and style of expression. Based on in-depth research into 5 books, 15+ authoritative media interviews, 30+ first-hand quotes, 11 key decision records, and a complete life timeline, it distills 5 core mental models, 8 decision heuristics, and a complete expression DNA. Use as a thinking advisor to analyze education choices, career planning, social mobility, and related topics from Zhang Xuefeng’s perspective. Trigger when the user mentions “from Zhang Xuefeng’s perspective,” “what would Zhang Xuefeng think,” “Zhang Xuefeng mode,” or “Xuefeng perspective.” Also trigger for requests such as “help me think about this from Zhang Xuefeng’s point of view,” “what would Zhang Xuefeng say,” or “switch to Zhang Xuefeng.”
Turns support tickets, issue history and error telemetry into troubleshooting and error-reference pages a developer finds by pasting the error string - symptom, conditions, cause, fix and verification entries, an error-code catalog generated from one source of truth, and fixes wired back into the product's own error output. Use whenever the user mentions troubleshooting docs, documenting error codes, error message pages, a known-issues page, building an FAQ from support tickets, or "we answer the same question every week" - even if they only say "users keep hitting this error". Not for debugging a live incident. Do NOT use for docs search ranking - use samber/developer-relations-skills@docs-seo.
Polish and refine existing motion against the transitions.dev motion-token scale — duration, distance, scale, blur, and easing — plus the rules for WHEN each token applies (open/close asymmetry, hover-in vs hover-out, stagger offsets, and intent delays). An add-on to the transitions-dev skill, focused on tuning what already animates rather than adding new transitions. Use when the user asks to "polish my transitions", "refine the motion", "tune the timing / easing", "make the animation feel better / less janky", "tighten the durations", "fix the stagger", "align to the motion tokens", "audit the motion", "review my animations", "scan for ad-hoc transitions", "tokenize my animations", or runs the commands transitions review or transitions polish. Also drives the Refine panel's Small refinement feature. Triggers on "motion polish", "transition polish", "refine motion", "timing feels off", "too slow / too fast", "stagger", "delay", "open close timing", "hover in out".
Audits and rebuilds a personal or organization profile on GitHub as a developer-relations surface — the profile README, the six pinned items, bio and social fields, the organization profile repository, and the contribution signals visitors read as evidence. Use whenever someone says "optimize my GitHub profile", "profile README", "our GitHub org page is empty", "what should I pin", "nobody knows what our company builds on GitHub", or is preparing a launch, a talk or a job search — even if they only mention their GitHub page. Covers solo maintainers, company organizations, and engineers whose profile gets read during hiring. GitHub-scoped: the audit script and pin/contribution-graph mechanics are GitHub-specific, though the checklist reasoning transfers by hand to another forge. Not a single repository's README — use samber/developer-relations-skills@readme-optimization.
The base44 SDK is the library to communicate with base44 services. In projects, you use it to communicate with remote resources (entities, backend functions, realtime actors, ai agents, and the AI gateway for code agents, image, video, and speech generation, and AI decisions) and to write backend functions and actors. This skill is the place for learning about available modules and types, including actors — the realtime/WebSocket primitive for multiplayer, collaborative boards, presence and live cursors, in-room chat, and live auctions. When you plan or implement a feature, you must learn this skill
Perform language- and framework-specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best-practice guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.
Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.
Golang semantic code intelligence via `gopls`, the official Go language server — go-to-definition, find references, call/implementation hierarchy, workspace symbol search, package API discovery, diagnostics, safe rename, refactors (extract/inline/fill/rewrite code actions), formatting, and generated tests. Reaches an agent via gopls's own MCP server (`go_*` tools), Claude Code's native `LSP` tool, or the `gopls` CLI. Use when navigating or refactoring Go code — jumping to a definition, finding call sites before a rename, understanding a file's or package's dependencies, running diagnostics after an edit, or extracting/inlining/renaming. Not for the published ecosystem — packages not in your `go.mod`, versions, licenses, importers — → See `samber/cc-skills-golang@golang-pkg-go-dev` skill (`godig`). Not for a whole-tree vulnerability audit → See `samber/cc-skills-golang@golang-security` skill (`govulncheck`).
Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions about gcloud syntax, or formatting flags. Don't use when writing Google Cloud client library code or raw REST/gRPC API requests.
Crypto derivatives data: funding rates, open interest, liquidations, long/short ratios. Use when researching perp markets or comparing ETF flows (e.g. BTC funding, ETH OI). NOTE: platform API key is Startup tier — liquidation heatmap, coins-markets detail, liquidation order book and Hyperliquid positions require higher plans (see Plan Tiers).
Defines the policy every code sample in developer documentation must meet and audits an existing sample corpus against it, returning a ranked fix queue. Use whenever the user mentions docs code samples, code snippets in documentation, runnable examples, examples that no longer compile, copy-paste failures, snippet drift after an API change, testing docs examples in CI, SDK snippet parity across languages, sample maintenance ownership, or asks why the examples in their docs do not work—even if they only say the docs are broken. Covers sample anatomy, copy-paste and security safety, execution tiers, single-sourcing from tested code, and language parity. Not for writing a quickstart page—use samber/developer-relations-skills@developer-quickstart-guide.
Designs and runs a developer community health measurement framework: activity, responsiveness, contributor-funnel and sentiment metrics, honest instrumentation, baseline-derived thresholds, and a report that ends in decisions. Use whenever someone asks how to measure their developer community, which community health metrics to track, whether their Discord, Slack or forum is dying, why the community feels quiet, or wants a community health dashboard, contributor funnel, community KPI set or engagement report - even if they only say "is our community doing OK". Do NOT use for launching a community (samber/developer-relations-skills@developer-community-launch) or company-wide devrel KPIs (samber/developer-relations-skills@devrel-metrics).
Designs a sustainable build-in-public practice for an open-source project or developer tool: how far up the disclosure ladder to go (shipping log, decisions, failures, metrics, revenue), a cadence the maintainer can hold, the platform mix, and the boundaries that keep security, customer and roadmap detail off the public record. Use whenever someone mentions building in public, a devlog, weekly updates, an open-startup or transparency dashboard, sharing metrics or revenue openly, fear of copycats, oversharing, wanting to stop publishing numbers, or a stalled practice they want to restart, even if they never say "build in public". Covers solo maintainers, bootstrapped and funded devtools teams. Not for a one-time launch; use samber/developer-relations-skills@oss-launch.
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.
Track, calculate, and optimize key performance metrics for SaaS, marketplace, consumer, and B2B startups from seed through Series A, including unit economics, growth efficiency, and cash management. Use this skill when defining a metrics framework, calculating CAC/LTV/burn multiple, benchmarking business health, or preparing metrics dashboards for investors or board reporting.
The base44 CLI is used for EVERYTHING related to base44 projects: resource configuration (entities, backend functions, realtime actors, ai agents), initialization and actions (resource creation, deployment), and any other operation on an existing app or workspace through the Base44 public API (settings, domains, users, members, source export). This skill is the place for learning about how to configure resources, including actors — the realtime/WebSocket primitive behind multiplayer, collaborative boards, presence and live cursors, in-room chat, and live auctions. When you plan or implement a feature, you must learn this skill
Build and publish Chrome Extensions using Manifest V3 best practices. Use this skill whenever the user asks to create, modify, debug, or understand Chrome browser extensions, add-ons, or anything involving the Chrome Extensions API. Trigger on mentions of: 'Chrome extension', 'browser extension', 'manifest.json', 'content script', 'service worker' (in browser context), 'popup' (in browser extension context), 'side panel', 'chrome.* API', 'declarativeNetRequest', 'omnibox', 'context menu' (in extension context), 'userScripts', 'user script', 'script manager', or any request to build functionality that integrates with the Chrome browser UI. Also trigger for publishing to the Chrome Web Store: 'publish extension', preparing an extension for publishing, responding to a review rejection, writing permission justifications, or drafting a privacy policy.
Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliability, building regression suites for prompt or agent changes, or benchmarking across model versions.
Design or redesign frontend UI, presentations, and graphics on the Superdesign canvas with a choice of leading AI models. Use whenever the user wants to design a page, feature, flow, slide deck, or brand-new product; improve or reproduce existing UI; compare design results across top models; explore visual variants; set or extract a design system; build reusable components or multi-page flows; create presentations; or create posters and marketing graphics, even if they never say the word 'design tool'. Also supports generating supporting image or video assets when a design needs them.
[DEPRECATED - use continuous-learning-v2] Legacy v1 stop-hook skill extractor. v2 is a strict superset with instinct-based, project-scoped, hook-reliable learning. Do not invoke v1: when continuous learning, session learning, or pattern extraction is requested, route to continuous-learning-v2 instead.
Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist.
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
Produce cited research reports from multiple web sources using firecrawl and exa MCP tools — plan sub-questions, search and deep-read sources, then synthesize findings with inline citations and confidence levels. Use when the user asks to research a topic in depth, run a deep dive or investigation, or do competitive analysis, technology evaluation, market sizing, or due diligence on a company.
Find, evaluate, and download common purchasable CAD parts from step.parts, including named off-the-shelf actuators, servos, motors, electronics boards, connectors, screws, bolts, nuts, washers, bearings, standoffs, and other catalog components. Use when Codex needs to search the hosted step.parts catalog before creating simplified placeholder geometry, resolve fuzzy part names, standards, aliases, or dimensions, choose a matching part, fetch a canonical .step file, verify checksums, or use the step.parts API/OpenAPI/catalog endpoints for standard part discovery.
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video
Guidance on writing fast, robust, modern Svelte code. Load this skill whenever in a Svelte project and asked to write/edit or analyze a Svelte component or module. Covers reactivity, event handling, styling, integration with libraries and more.
Creates and maintains project context artifacts (product.md, tech-stack.md, workflow.md, tracks.md) in a `conductor/` directory. Scaffolds new projects from scratch, extracts context from existing codebases, validates artifact consistency before implementation, and synchronizes documents as the project evolves. Use when setting up a project, creating or updating product docs, managing a tech stack file, defining development workflows, tracking work units, onboarding to an existing codebase, or running project scaffolding.
DEPRECATED — use scrape + interact instead. Interact lets you scrape a page and then click, fill forms, and navigate without managing sessions manually. Use this skill when the user needs to interact with a webpage, log into a site, click buttons, fill forms, navigate multi-step flows, handle pagination, or when regular scraping fails because content requires JavaScript interaction. Triggers on "click", "fill out the form", "log in to", "paginated", "infinite scroll", "interact with the page", or "scrape failed".
Darwin Skill 2.0 (达尔文.skill 2.0): autonomous skill optimizer, v2.0 integrates Microsoft Research SkillLens (arXiv 2605.23899) 9-dim rubric + SkillOpt (arXiv 2605.23904) validation-gated design + human-in-the-loop checkpoints. Evaluates SKILL.md files using a 9-dimension rubric (structure + effectiveness + meta-skill blacklists), runs hill-climbing with git version control, spawns independent judge agents for blind evaluation, validates improvements through test prompts with auto-break on diminishing returns, and generates visual result cards. Use when user mentions \"优化skill\", \"skill评分\", \"自动优化\", \"auto optimize\", \"skill质量检查\", \"达尔文\", \"darwin\", \"帮我改改skill\", \"skill怎么样\", \"提升skill质量\", \"skill review\", \"skill打分\".
Run AI apps via inference.sh CLI - image generation, video creation, LLMs, search, 3D, Twitter automation. Models: FLUX, Veo, Gemini, Grok, Claude, Seedance, OmniHuman, Tavily, Exa, OpenRouter, and many more. Use when running AI apps, generating images/videos, calling LLMs, web search, or automating Twitter. Triggers: inference.sh, infsh, ai model, run ai, serverless ai, ai api, flux, veo, claude api, image generation, video generation, openrouter, tavily, exa search, twitter api, grok
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research. Use for: research, RAG pipelines, fact-checking, content aggregation, agents. Triggers: web search, tavily, exa, search api, content extraction, research, internet search, ai search, search assistant, web scraping, rag, perplexity alternative
Analyze competition, identify differentiation opportunities, and develop winning market positioning strategies using Porter's Five Forces, Blue Ocean Strategy, and positioning maps. Use this skill when evaluating competitors, assessing market positioning, identifying sustainable competitive advantages, or preparing competitive strategy analysis for a startup or investor pitch.
Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. Use this skill when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.
Operate OKX.AI agents and marketplace workflows. Use when the user wants to register, update, or view Agent identities; discover, publish, buy, or manage Agent services(tasks), including signal services; create or fulfill marketplace services; manage or view subscriptions; view copy-trade records; review delivered work, rate agent-service orders, request or respond to an evaluation; monitor task/order execution status; send a message to a task counterpart in a task (replying is the same send); query a task's chat history by Job ID and counterpart Agent ID
Rewrite AI-sounding text so it reads like the writer without changing what it says. Use when editing or reviewing prose for AI tells: not-X-but-Y contrasts, one-line closers, staged openers, forced triads, dashes everywhere, inflated claims, sales language, stock AI words, bold labels, or filler. Based on Wikipedia's "Signs of AI writing."
Migrate a codebase from the Runpod GraphQL API or REST v1 to REST v2 — inventory which parts use which API version, rewrite the call sites, flag breaking changes, and verify. Use when someone asks to move to v2, asks what v2 would change, or asks which Runpod API their code is on. For managing infrastructure rather than migrating code, use runpod-mcp or runpodctl.
Creates smooth animations and micro-interactions using Framer Motion including page transitions, gestures, scroll-based animations, and orchestrated sequences. Use when users request "add animation", "framer motion", "page transition", "animate component", or "micro-interactions".
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
Choose when the user needs **Shopify CLI** to run or fix something now: validate app or extension config on disk (`shopify.app.toml`, `shopify.app.<name>.toml`, `shopify.extension.toml`); review or audit an app's code for security vulnerabilities; run or troubleshoot store workflows (`shopify store auth`, `shopify store execute`); or perform explicit store-scoped reads/writes on a named store domain (for example, show/list/find the first 10 products on my store at `foo.myshopify.com`, or inventory and product changes by handle, SKU, or location name). Emphasize **commands and operational steps**, not only authoring GraphQL. Skip for API-only understanding or codegen with no CLI execution, and skip for brand-new merchant asks to start a Shopify store or try Shopify before they have an account. Examples: validate configuration before deploy; run an existing query via CLI; show the first 10 products on `foo.myshopify.com`; missing `shopify store execute`.
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.