Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Set up Prometheus monitoring for applications with custom metrics, scraping configurations, and service discovery. Use when implementing time-series metrics collection, monitoring applications, or building observability infrastructure.
Rust async internals skill for understanding and debugging async Rust. Use when understanding the Future trait and poll model, Pin and Unpin, tokio task scheduling, debugging async stack traces with tokio-console, tracking waker leaks, using select! and join!, or avoiding blocking in async contexts. Activates on queries about Rust async internals, Future poll, Pin, Unpin, tokio-console, waker, async stack traces, select!, join!, or blocking in async
Build and maintain an explorable, progressively disclosed isometric “atlas” of a system's architecture — an interactive page (hover to read, click to pin, go inside for steps, inspect moving data packets, and chapters that reveal the system a few structures at a time) plus a generated text twin (SYSTEM.md) and question tracking by ID, all from one data file in the repo. Use whenever someone wants to discuss, design, review, or explain an architecture visually — “make an atlas”, “map the system”, “make the architecture explorable”, “visualize the codebase/agent/pipeline so we can talk about it”, “a diagram I can click around”, “walk me through how it fits together” — or when an architecture discussion produces open questions that need tracking across feedback rounds. Also use it to update an existing atlas after decisions change.
Provides reusable interaction patterns and motion presets that make UI feel polished. Includes hover effects, transitions, entrance animations, gesture feedback, and reduced-motion support. Use when adding "animations", "transitions", "micro-interactions", or "motion design".
File a bug report or feedback on the Antithesis skills by opening a pre-filled GitHub issue URL (skill name, skill version, agent, short summary). Load when the user wants to report a problem with, or give feedback on, any Antithesis skill. Does not auto-submit — presents the URL for the user to review.
Conduct full competitor strategy breakdowns across SEO, ads, social, email, pricing, and positioning. Use when the user asks to analyze competitors, benchmark against rivals, understand the competitive landscape, find competitor weaknesses, or build a competitive matrix. Trigger phrases include "competitor analysis", "competitive analysis", "who are my competitors", "competitor research", "competitive landscape", "benchmark competitors", "competitor ads", "competitor SEO", "competitor pricing", "SWOT analysis", "competitive matrix".
Maps every competitor and the gap they leave. Finds the direct competitors, indirect ones and the substitutes a buyer would use instead, from public sources only, and records what each sells, at what price, how they position themselves and what their customers complain about in public reviews, every fact with a link. Ends with a positioning map and the gap the new business can own. Use when the user says "who are my competitors", "is this market crowded", "what else is out there", "competitor analysis", "find the gap", or "who am I up against".
Systematic 100-point financial health scorecard for listed companies via Longbridge — five dimensions: profitability (ROE / net margin / gross margin), growth (revenue & net income YoY), financial health (debt ratio / current ratio / interest coverage), cash quality (operating CF / net income), operating efficiency (inventory & AR turnover days). Outputs a report card. Triggers: "财报体检", "财务体检", "财务评分", "财务健康", "盈利能力", "偿债能力", "运营效率", "现金质量", "财务综合评分", "上市公司体检", "財報體檢", "財務體檢", "財務評分", "財務健康", "盈利能力", "償債能力", "運營效率", "現金質量", "financial health check", "financial score", "profitability analysis", "solvency analysis", "operating efficiency", "cash quality", "company financial checkup".
Ichimoku Cloud (一目均衡表) five-line system signal engine for stocks listed in HK / US / A-share / Singapore via Longbridge Securities. Computes Tenkan-sen, Kijun-sen, Senkou Span A/B, and Chikou Span from OHLCV data; generates price-vs-cloud position, line-cross signals, and full trend-confirmation scores. Triggers: "一目均衡表", "一目云", "云图", "转折线", "基准线", "先行带", "迟行线", "云上", "云下", "一目均衡表", "一目雲", "雲圖", "轉折線", "基準線", "先行帶", "遲行線", "ichimoku", "ichimoku cloud", "tenkan sen", "kijun sen", "senkou span", "chikou span", "cloud breakout".
Generates lorem ipsum placeholder text. Use this skill when users ask for lorem ipsum content, placeholder text, dummy text, or filler text. Supports various structures including plain paragraphs, headings with sections, lists, and continuous text. Output can be saved to a file or used directly as requested by the user.
Audit and optimize landing pages for conversion rate. Use when the user asks about conversion rate optimization, CRO, landing page audits, improving sign-ups or sales, reducing bounce rate, A/B test ideas for pages, form optimization, or CTA optimization. Trigger phrases include "conversion rate", "CRO", "landing page audit", "why isn't my page converting", "improve conversions", "optimize my page", "reduce bounce rate", "CTA optimization", "form optimization", "above the fold".
Use when a Unity 6.3 game is slow or stutters: low FPS, frame spikes, hitches when entering areas or during first-time effects, GC spikes, too many draw calls or SetPass calls, CPU vs. GPU bottleneck questions, work with Profiler, Profile Analyzer, Memory Profiler, Frame Debugger, or Project Auditor, GPU Resident Drawer or SRP Batcher setup, LOD and Mesh LOD, shader warm-up and variants, memory or VRAM budgets, IL2CPP and build size, or proving a fix with player data
Use this skill when the user wants reusable code, scripts, examples, or docs that build on Steel cloud browsers with SDKs, REST APIs, Playwright, Puppeteer, Stagehand, Browser Use, credentials, profiles, files, extensions, embeds, proxies, or CAPTCHA APIs. Do not use for live web browsing performed by the agent; use steel-browser. Route failed-session diagnosis to steel-session-debugging and reliability mitigation to steel-reliability.
Open or rebuild the video-lens gallery index — your personal library of saved video summaries. Use this whenever the user wants to browse, open, or search saved video reports: "show my gallery", "open video library", "browse saved videos", "build gallery", "what videos have I saved", "show my video notes", "my video summaries", "find my saved summary for [topic]", "rebuild the index", "show video-lens index", "backfill metadata", "update index".
Build complete Arduino and embedded projects across Arduino IDE, Arduino CLI, PlatformIO, and vendor-specific toolchains. Use when users request an application combining firmware, sensors, actuators, networking, power, or deployment rather than a code snippet. The bundled scaffold targets UNO, ESP32, and Raspberry Pi Pico; use the board profile and document limitations for other targets.
Manage and troubleshoot Coolify deployments using the official CLI and API. Use this skill when the user needs help with Coolify server management, WordPress troubleshooting on Coolify, debugging service issues, checking SSL certificates, accessing containers, or managing applications and databases through Coolify. Particularly useful for diagnosing down services, fixing .htaccess issues, REST API problems, and performing deployment operations.
Generate professional voiceovers using ElevenLabs AI. Use when the user needs to create voiceovers for videos, audio narration, or text-to-speech content. Supports multiple voices with character presets (narrator, salesperson, expert) for natural delivery. Includes single scene regeneration for fine-tuning.
Expert email management assistant for Apple Mail. Use this when the user mentions inbox management, email organization, email triage, inbox zero, organizing emails, managing mail folders, email productivity, checking emails, or email workflow optimization. Provides intelligent workflows and best practices for efficient email handling.
Upload local images and other files (PDF, zip, log, …) to GitHub and embed them in a pull request description, an issue, or a comment — producing canonical github.com/user-attachments URLs (private-repo uploads stay private). Use when asked to "attach a screenshot to the PR", "add an image to the PR description", "put this image in the issue", "attach this PDF/log/zip to the issue", "show test results in the PR", "embed before/after screenshots", or any request to visually document or attach files to changes on GitHub. Powered by the `gh-image` gh CLI extension.
Behavioral finance application framework — identify cognitive biases in markets (overreaction, underreaction, disposition effect, anchoring, herding), translate them into quantifiable trading signals (momentum / reversal), and assess whether current market sentiment shows systematic bias. Triggers: "行为金融", "认知偏差", "过度反应", "反应不足", "处置效应", "锚定效应", "羊群效应", "市场情绪偏差", "行為金融", "認知偏差", "過度反應", "反應不足", "處置效應", "錨定效應", "羊群效應", "behavioral finance", "cognitive bias", "overreaction", "underreaction", "disposition effect", "anchoring bias", "herding", "sentiment bias", "behavioral economics".
Earnings estimate revision analysis for listed companies via Longbridge — tracks analyst consensus revision direction (upgrade / downgrade), earnings surprise (SUE = standardised unexpected earnings), PEAD post-earnings drift signals (consecutive beats + upward revisions = positive momentum), and management guidance revision impact. Builds on raw data from longbridge-consensus. Triggers: "预期修正", "盈利修正", "分析师上调", "分析师下调", "超预期", "低于预期", "PEAD", "财报后漂移", "业绩意外", "管理层指引", "預期修正", "盈利修正", "分析師上調", "分析師下調", "超預期", "低於預期", "財報後漂移", "業績意外", "管理層指引", "earnings revision", "estimate revision", "analyst upgrade", "analyst downgrade", "beat miss surprise", "SUE", "PEAD post-earnings drift", "guidance revision", "estimate cut raise".
Factor research framework for evaluating single-factor effectiveness across A-shares, HK, and US stocks — information coefficient (IC), information ratio (IR), decile portfolio backtests, and IC decay (serial autocorrelation). Triggers: "因子研究", "IC分析", "信息比率", "分层回测", "因子有效性", "单因子测试", "因子衰减", "因子评估", "IC分析", "信息比率", "分層回測", "因子有效性", "單因子测试", "factor research", "information coefficient", "IC", "IR information ratio", "factor backtest", "decile portfolio", "factor decay", "factor effectiveness".
Harmonic pattern signal engine — identifies XABCD five-point structures based on Fibonacci geometry, supports Gartley, Bat, Butterfly and Crab patterns, and generates trading signals in the potential reversal zone (PRZ). Triggers: "谐波形态", "谐波", "Gartley", "蝙蝠形态", "蝴蝶形态", "螃蟹形态", "XABCD", "潜在反转区", "PRZ", "斐波那契形态", "諧波形態", "諧波", "蝙蝠形態", "蝴蝶形態", "螃蟹形態", "harmonic pattern", "Gartley pattern", "Bat pattern", "Butterfly pattern", "Crab pattern", "PRZ", "potential reversal zone", "fibonacci harmonic".
Package specification compliance for Elastic integration packages. Covers manifest structure (format_version, conditions, variables, var_groups, provider_permissions, routing rules), changelog schema and semantic version bumps, and alignment with the upstream elastic/package-spec. Use when building or reviewing manifest.yml, changelog.yml, or debugging elastic-package lint/check errors on package metadata.
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.