Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
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Generates an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up CI credentials or secrets, navigating an unfamiliar third-party dashboard, or running a one-off migration/cutover. Do not invoke for steps the agent itself can perform.
Port a WordPress theme's design and template behavior to an EmDash-powered Astro site. Use for theme migrations, design matching, PHP-template conversion, and CMS wiring. Do not use for WordPress plugin behavior that does not affect the site theme.
Audit a Duvo Agent — or a multi-Agent workflow connected by a Queue — across many Runs to find systemic inefficiencies and quality issues, then recommend concrete AOP and architecture changes. Use when the user asks to "analyze this workflow", "audit my Agent", "why is this Agent slow / inconsistent / low quality across runs", "why does my queue keep backing up", or wants a health check over an Agent's recent Runs — as opposed to debugging one failed Run (that's run-debugger). Reads recent Runs, eval scores, the producer/consumer queue topology, and the AOPs those Runs actually ran against via the Duvo public API — leading with the queue topology and backlog and sizing the run sample to the question; hands off to aop-writer for any AOP rewrite.
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like “the xlsx in my downloads”) — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Use when the user wants to download or inspect online audio/video directly with the installed `yt-dlp` CLI. Best for single videos, playlists, audio extraction, subtitle download, format inspection, output templates, cookies-from-browser flows, and practical troubleshooting of `yt-dlp` commands.
TigerStyle Zig coding guidelines — distilled from TigerBeetle's production codebase. Use this skill whenever the user is writing, reviewing, or refactoring Zig code, asking about Zig idioms, best practices, assertions, memory layout, naming conventions, or code style. Also trigger when the user asks how to structure Zig structs, handle errors, write safe loops, or design Zig APIs. Even if the user just says "write me some Zig" or pastes Zig code for review, consult this skill first.
Use when the user needs to WRITE a marketing report someone else will read — a one-page weekly for a CEO, a full monthly, or a quarterly strategy report with TL;DR, results versus target, insight, decisions needed, and next actions with owners. Trigger on 'marketing report', 'monthly report', 'weekly update for my boss', 'report for the client', 'quarterly summary', 'turn these numbers into a report'. Also use when the user says a stakeholder is asking how marketing is doing. Not for — diagnosing why the numbers are bad, see `03-performance-eval-global`; turning a raw export into insight, see `13-data-analysis-global`; a closed campaign retrospective, see `63-campaign-retrospective-global`.
Use when the user needs to choose and stand up marketing channels and the tech behind them — channel selection scoring, platform-by-platform setup checklists, business account and verification steps, and integrations, with region priorities: US Meta plus Google plus LinkedIn, EU adding Xing, SEA adding TikTok, Shopee, Lazada and LINE, LATAM adding WhatsApp Business and Mercado Libre. Trigger on 'channel setup', 'which platforms should we be on', 'set up Google Business Profile', 'marketing tech stack', 'we are starting from zero on social', 'connect our accounts'. Not for — conversion tracking and pixels, see `53-tracking-setup-global`; ad account hierarchy, see `52-account-structure-global`; the posting plan once channels exist, see `01-content-calendar-global`.
Use when customers should bring other customers — one-way versus two-way incentives, reward structure and economics, trigger moments, referral messaging, tracking and attribution, fraud controls, and anti-spam compliance by region: TCPA for US, GDPR for EU, PDPA for SEA, LGPD for LATAM. Trigger on 'referral program', 'refer a friend', 'word of mouth', 'viral loop', 'how do I get customers to bring friends', 'affiliate rewards'. Also use when the user has happy customers and no system to use them. Not for — running your own community space, see `28-community-building-global`; posting inside third-party communities, see `38-community-seeding-global`; email flow mechanics, see `14-email-marketing-global`.
Search a library of 4,600+ AI motion graphics with their prompts and 2,100+ video-editor presets before building any motion graphic or video edit from scratch. Use whenever the user wants styled captions on video (karaoke, word-by-word, TikTok, Reels, Shorts), hooks, kinetic typography, titles, lower thirds, text behind the subject, transitions, colour grades and film looks, split-screen layouts, font pairings, logo reveals, intros, product launch videos or explainer videos, in HyperFrames, Remotion or HTML, even if they only say make or build and never ask for examples. Returns ready presets that one MIT engine renders as a pure function of time, real examples with prompts and creator credit, and 40 explainer styles with starter prompts. Not for converting, trimming or transcribing video files or fixing a framework install.
3GPP telecommunications expert covering all generations (2G–6G), releases (Rel-99 to Rel-21), protocol stacks, architecture, and deployment. Use whenever the user mentions: 3GPP, GSM, GPRS, EDGE, UMTS, WCDMA, HSPA, LTE, LTE-Advanced, 5G, NR, 5G-Advanced, 6G, NTN, RedCap, MIMO, beamforming, carrier aggregation, network slicing, SBA, RAN, RRC, NAS, PDCP, RLC, MAC, SDAP, PHY, OFDMA, QoS, IMS, VoLTE, VoNR, URLLC, eMBB, mMTC, V2X, NB-IoT, TS 23/24/25/36/38 series, O-RAN, or any 3GPP spec number. Also trigger on telecom network architecture, radio access, spectrum, handover, cell planning, interference, or migration strategies. If the user asks about cellular/mobile network standards in any form, use this skill.
Use this skill to gate Python code (floors 3.10+, rules verified through 3.14) with a pass/fail adversarial review — a single blind reviewer subagent judges a diff or file set against 20 decidable rules hunting two failure modes. First, code modern Python makes unnecessary — branch ladders over match/registries, hand-written init/repr/eq over dataclasses, TypeVar ritual over PEP 695, typing.Optional over PEP 604 unions, os.path over pathlib, hand-rolled stdlib batteries, deprecated utcnow, orphan create_task over TaskGroup. Second, legacy-pattern propagation — single-implementation ABCs, pass-through layers, single-method classes, concrete-inheritance reuse, boolean-forked functions, shapeless payloads and parameter clumps — judged as if greenfield; consistency with legacy code is not PASS evidence. A version probe reads the target's Python floor, marks rules above it N/A, and fetches the official what's-new delta when the floor exceeds the verified version. Verdicts only, never fixes.
Use this skill to gate Elixir code built on the Reactor orchestration library (~> 1.0) with a pass/fail adversarial review — a single blind reviewer subagent judges a diff or file set against 28 decidable rules covering saga compensation and undo (side effects without undo, cleanup in the wrong callback, compensate returns that roll back vs continue, non-idempotent undo), retry discipline (uncapped retries under the max_retries infinity default, retrying business failures, missing backoff), dependency and data flow (lexical-order assumptions, context smuggling, missing return), step contracts (invalid run/3 returns, halt misused as failure, guard/where confusion, side effects in inline fns), composition (Reactor.run inside steps instead of compose, Enum loops over map steps, case over switch, unbounded recurse), concurrency (serial-by-default map, sandbox tests left async, process-context loss), and middleware contracts. Verdicts only, never fixes.
DTC brand positioning and identity — positioning canvas, brand voice, brand story, visual identity. Triggers: 品牌定位, brand positioning, 品牌声音, 品牌故事, 视觉识别, 品牌规范, 品牌升级, brand voice, brand story, visual identity, rebrand. Route complex questions through afa first.
DTC conversion rate optimization — checkout optimization, abandoned cart recovery, landing pages, A/B testing, trust and accessibility. Triggers: 转化率, CRO, 加购, 结账, 弃单, 落地页, A/B测试, 转化漏斗, conversion rate, abandoned cart, checkout optimization, landing page, a/b test, add to cart. Route complex questions through afa first.
DTC data dashboards and health checks — three-layer dashboards, KPI tracking, north star, anomaly alerts. Triggers: 数据体检, 仪表盘, dashboard, KPI, 指标追踪, 基准线, 营收报表, 异常预警, metrics, benchmark, data health check, revenue report. Route complex questions through afa first.
Brand and product foundation supervisor — coordinates routing and collaboration across market discovery, competitors, brand, product, and launch. Triggers: 品牌基建, foundation, 从零开始, from scratch, 品牌规划, 产品上市, brand building, market validation, go-to-market.
Google Ads optimization — Shopping, search, PMax, AI Max, keywords, feed, negative keywords. Triggers: Google Ads, 谷歌广告, Shopping, PMax, AI Max, 搜索广告, 关键词, Feed, 否定词, shopping ads, performance max, search ads, negative keywords. Route complex questions through afa first.
DTC influencer and affiliate marketing — influencer sourcing, brand ambassadors, affiliate, KOL/KOC, seeding. Triggers: 网红, influencer, KOL, KOC, 达人, 品牌大使, 联盟, affiliate, 种草, influencer marketing, creator partnerships, affiliate program, brand ambassador, micro influencer. Route complex questions through afa first.
DTC SEO and organic search — technical SEO, keywords, content planning, product pages, structured data, backlinks. Triggers: SEO, 搜索引擎优化, 关键词, 有机流量, 技术SEO, 反向链接, 产品页SEO, 搜索排名, keyword research, backlinks, technical seo, site speed, search ranking. Route complex questions through afa first.
Use the agent-browser CLI to exercise web interfaces, inspect rendered accessibility state, verify interactions, and capture screenshots. Use for browser-based UI testing and evidence collection. Do not use as a substitute for deterministic Playwright coverage when an automated regression test is the requested deliverable.
Create and configure AiderDesk agent profiles by defining tool groups, approval rules, system prompts, subagent settings, subagent filtering, and provider/model selection. Use when setting up a new agent, creating a profile, or configuring agent tools, permissions, and subagent behavior.
Public opinion monitoring skill that ultimately produces a public opinion report. Use this skill when the user asks "how is the public opinion on an event/topic", "what's the sentiment", "do a public opinion analysis", "run a public opinion analysis", or crawls by keyword/platform and generates a public opinion report. Convention: any public-opinion-related intent triggers the full flow (crawl → sentiment analysis → generate report). Crawling is done by this skill; sentiment analysis is judged autonomously by the main Agent based on the prompt; the report is generated by generate_report.
Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs), build self-service tools for non-technical teams, or create "anticipatory" engineering workflows that draft PRs based on Slack discussions.
Optimize agent context files (AGENTS.md, CLAUDE.md, .cursorrules, .windsurfrules, .github/copilot-instructions.md, codex.md, etc.) using Addy Osmani's agents-md methodology. Triggers: 'optimize CLAUDE.md', 'streamline CLAUDE.md', 'agents-md', 'discoverability filter', 'add gotchas', 'optimize AGENTS.md', 'optimize context file', 'CLAUDE.md 최적화', 'CLAUDE.md 줄이기', 'CLAUDE.md 다이어트', 'optimize .cursorrules', 'optimize .windsurfrules', 'optimize copilot-instructions', 'optimize codex.md'.
USE to guide an AI agent or CLI tool through adding Agnost AI analytics to a customer Python or TypeScript app from this installed skill directory. Inspect existing telemetry first, preserve a supported OTel path when it produces usable AI spans, otherwise use Agnost SDK/MCP packages, then verify the real conversation data model end to end.
Alibaba Cloud FinOps Resource Inspection Skill. Performs cost-oriented health inspection across all regions of an Alibaba Cloud account. Scans ECS, RDS, EIP, Cloud Disks, Load Balancers (CLB/ALB/NLB), and NAT Gateways to identify underutilized and idle resources. Triggers: "FinOps巡检", "成本巡检", "资源利用率检查", "idle resource detection", "cost optimization", "finops inspection", "资源浪费检查", "闲置资源检测".
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
Writes structured, checklist-based single-reviewer reports for manuscripts and grant proposals — assesses methodology, statistical validity, reporting-standards compliance (CONSORT 2025, SPIRIT 2025, STROBE, PRISMA 2020, ARRIVE 2.0), reproducibility, and ethics, and gives constructive, prioritized feedback while respecting reviewer confidentiality and AI-use rules. Use when writing a formal referee report, responding to a journal or grant review invitation, or self-auditing a manuscript against reviewer criteria before submission. For evaluating claims/evidence quality prefer alterlab-scientific-thinking; for a multi-reviewer mock-panel verdict use alterlab-paper-reviewer; for quantitative rubric scoring use alterlab-scholar-eval; to revise a paper in response to reviews use alterlab-paper-writer. Part of the AlterLab Academic Skills suite.
Turn raw mobile app screenshots into premium App Store and Google Play marketing screenshots with a device frame, a themed scene or brand-derived background, and a short headline, while keeping the original UI pixel-exact. Use when the user shares iOS or Android app screenshots and asks for store listing images, framed device mockups, launch or Product Hunt visuals, or a consistent multi-screen screenshot set.
Use when choosing colors, typography, or layout/spacing for an Apple-style interface — semantic & dynamic system colors, Display P3 wide gamut, dark mode, the San Francisco type family, Dynamic Type, the 8-point grid, safe areas, and bento layouts. Part of the apple-design family. Keywords: apple color, semantic colors, system colors, label color, systemBlue, P3 wide gamut, dark mode, SF Pro, San Francisco font, New York serif, dynamic type, type scale, tracking, 8pt grid, 4pt, spacing, safe area, layout margins, bento grid, readable content width.
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
Design cloud network architectures with VPC patterns, subnet strategies, zero trust principles, and hybrid connectivity. Use when planning VPC topology, implementing multi-cloud networking, or establishing secure network segmentation for cloud workloads.
Atomic Simulation Environment - a set of tools for setting up, manipulating, running, visualizing, and analyzing atomistic simulations. Acts as a universal interface between Python and numerous quantum chemical and molecular dynamics codes. Use for building atomic structures, geometry optimization, molecular dynamics simulations, transition state searches (NEB), file format conversion (CIF, XYZ, POSCAR, PDB), electronic property calculations (DOS, band structures), and automating simulation workflows with DFT/MD codes like VASP, GPAW, Quantum ESPRESSO, LAMMPS.
Assess a PR or code change against its issue/spec, acceptance criteria, repository rules, tests and base behavior for correctness, code quality, maintainability and proportionate security. Use for PR review, re-review, acceptance-criteria checks or merge readiness.
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.