Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
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Discover and manage OKX-aggregated DeFi products and positions across protocols and chains. Use for generic or venue-agnostic yield, APY, or TVL discovery and history; DeFi deposits, staking, liquidity, withdrawals, rewards, lending, CLMM analysis; and DeFi portfolio or position views. Requests targeting a named protocol belong to DApp discovery. Triggers include earn yield, best APY, DeFi product, APY/TVL history, deposit, stake, withdraw, redeem, provide or remove liquidity, claim rewards, borrow or repay, CLMM, V3 liquidity charts, DeFi portfolio, and DeFi holdings
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Create structured incident response runbooks with step-by-step procedures, escalation paths, and recovery actions. Use this skill when building a service outage runbook for a payment processing system; creating database incident procedures covering connection pool exhaustion, replication lag, and disk space alerts; onboarding new on-call engineers who need step-by-step recovery guides written for a 3 AM brain; or standardizing escalation matrices across multiple engineering teams
Run the conversational ECC setup wizard inside the current harness: inventory the install, collect scope (user/project/local) and hook mode (off/minimal/standard/strict) in Claude Code, use Codex's native plugin lifecycle, or install the project surface under ./.kimi-code, then preview, apply, and verify. Use when installing, updating, reconfiguring, or repairing an ECC installation, changing hook profiles, or moving ECC between install scopes.
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
All code changes must follow the guidance documented in the repository. Before filing an issue, creating a branch or commits, or creating a pull request (PR), search for the correct steps. Use this skill when asked to create an issue, write commit messages, push code, or create a PR.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.
Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev—search by meaning, not keywords, with no Reddit OAuth or app registration needed. Use when the user wants to research what people say on Reddit, find user pain points and complaints, validate a product or niche idea, do competitor and market research, track subreddit trends over a date range, or discover which subreddits discuss a topic. Also use when the user mentions “Reddit research,” “Reddit 调研,” “search Reddit,” “subreddit discovery,” “niche validation,” “pain points,” “user complaints,” or “Reddit trends.” Requires REDDAPI_API_KEY. For B2B lead scoring, see reddit-leads; for a bare API reference, see reddit-search-api.
Build your app's primary user interface embedded in the Shopify admin using the **iframe** model — a web app you host yourself, rendered with `@shopify/polaris-types` and App Bridge. Covers the Intents API (`shopify.intents.invoke`) for launching native workflows from App Home. For the Shopify-hosted `admin.app.home.render` extension target, use **`polaris-admin-extensions`** instead. If the prompt just mentions `Polaris` and you can't tell based on the context which API is meant, assume it refers to this API.
Add "juice" and game feel that makes actions satisfying — screen shake, hit-stop/freeze frames, tweened/eased motion, squash & stretch, knockback, and layered audio-visual feedback — as engine-neutral techniques that pair with the detected engine's tween, particle, and camera APIs. Use when the user mentions game feel, juice, "make it feel good/punchy", screen shake, hit stop, screen freeze, easing, squash and stretch, impact frames, or feedback/polish on hits, jumps, pickups, and deaths.
Pure API reference for reddapi.dev—authentication, all endpoints (vector search, semantic search, trends, subreddit lookup), request parameters, response schemas, and error codes, with no research-workflow framing. Use when the user wants raw endpoint documentation, is debugging a reddapi.dev integration, needs exact request/response field names, or asks for “reddapi API reference,” “reddapi.dev endpoints,” or “reddapi error codes.” For guided research workflows and query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads.
Per-trade smart-money signals—each result is a discrete buy or sell event from a tracked smart-money wallet, with trigger price, current price, max gain since trigger, and exit rate. BSC and Solana only. Use for: “smart money buy signal on $X”, “any whale just bought $Y”, “alpha signals in the last hour”, “copy-trade-worthy signals”, “trigger price and max gain on these trades”, “on-chain trading signals from smart money”.
Generate new screens from text prompts or images, edit existing screens with prompts and design system tokens, and generate design variants using Stitch MCP. Includes prompt enhancement pipeline, design mappings, professional UI/UX terminology, design tokens and theme system capabilities.
12-agent academic paper writing pipeline. 11 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure/rebuttal-audit). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, I got reviewer comments, revision roadmap, should we push back, conference rebuttal, grant panel response, audit my rebuttal, check my response draft, AI disclosure, check citations, citation check, check my references, verify references, look over the refs, 寫論文, 學術論文, 引導我寫論文, 審查意見, 我收到審查意見, 修訂路線圖, 評估回覆, 檢查引用, 引用檢查, 檢查參考文獻, 核對文獻, 논문 작성, 초록 작성, 논문 수정, 논문 계획을 도와줘, 심사 의견을 받았어, 심사 의견 반영, 답변서 점검, AI 사용 고지, 인용 확인, 인용 형식 검사, enmendar mi artículo, redactar artículo, guía mi artículo, analizar reseñas, auditar mi respuesta, verificar borrador de respuesta, verificar citas, divulgación de IA.
How agentmemory is built, the iii engine primitives it runs on, its storage model, ports, and the viewer. Use when reasoning about how memory is stored or retrieved end to end, when extending the system, or when answering how agentmemory works under the hood.
HeroUI Native component library for React Native (Tailwind v4 via Uniwind). Use when building mobile UIs with HeroUI Native — creating Buttons, Cards, TextFields, Dialogs; installing heroui-native; configuring dark/light themes; or fetching component docs. Keywords: HeroUI Native, heroui-native, React Native UI, Uniwind, mobile components
The agentmemory plugin hooks that capture observations automatically across the agent session lifecycle. Use when explaining how memory gets captured without manual saves, when debugging missing observations, or when tuning what gets recorded.
Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks.
Create a lean, decision-ready Product Requirements Document with an 8-section template: summary, contacts, background, objective, market segments, value propositions (6-part JTBD template), solution, and release. Lean by default (about one to two pages), with a fuller spec on request. Use when writing a PRD, documenting product requirements, preparing a feature spec, or reviewing an existing PRD.
List OKX Agentic Wallet exclusive trading competitions, register users for contests, track participation and leaderboard rankings, and claim won rewards. Use when users want to list available trading competitions or trading cups, view competition rules / prize pool / total prizes, register or sign up or enroll or join a contest, check the leaderboard (who is winning) or their own rank (am I in the prize zone, what is my place), ask did I win or query participation / claim status, claim won rewards or prizes from completed competitions, see which wallet account they registered with, or submit Telegram / WeChat / Email / Twitter contact for prize delivery to top-tier winners.
Migrate Vega OS (Amazon Fire TV) applications to multi-platform React Native monorepo supporting Android TV, Apple TV, and other platforms. Covers analysis, implementation, and native module integration. Use when migrating TV apps to support multiple platforms or building new multi-platform TV applications.
Use when the user wants to scrape or extract structured data from any site: profiles, posts, products, reviews, prices, followers, job or property listings. Also for building a scraper, crawling a site for data, discovery by keyword or category, requests mentioning “data fields” or “recurring”, or naming a dataset_id, snapshot_id, Web Scraper API, or Scraper Studio. Not the page itself (use fetch), not a search query (use search), not cost or credits (use billing).
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question.
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.
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.
