Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
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Find contacts stalled at funnel stages (abandoned cart, signed-up-but-no-trial, trial-but-no-convert), draft stage-appropriate re-engagement emails, and schedule sends via your ESP — with dedupe so weekly reruns never double-send
Advanced Effect-TS patterns for typed errors, dependency injection, concurrency, resource management, schema validation, and streaming. Use when building Effect programs — not simple Effect.succeed/fail questions, but multi-concern tasks like designing service layers with Layer composition, handling typed error hierarchies with tagged errors, managing concurrent fibers with structured concurrency, scoped resource lifecycles, schema-driven API contracts, or integrating Effect with existing Express/Hono/database stacks. Do not use for basic TypeScript or general functional programming questions.
ElevenLabs multi-speaker dialogue generation - create conversations with different voices in a single audio file via inference.sh CLI. Capabilities: multi-voice dialogue, script-based generation, voice direction, conversation audio. Use for: podcasts, audiobooks, explainers, tutorials, character dialogue, video scripts. Triggers: elevenlabs dialogue, eleven labs dialogue, multi speaker, conversation audio, dialogue generation, text to dialogue, multi voice, voice acting, podcast dialogue, character voices, script to audio, elevenlabs conversation, two speakers
ElevenLabs AI music generation - create original music from text prompts via inference.sh CLI. Capabilities: text-to-music, custom duration up to 10 minutes, genre/mood/instrument control, royalty-free commercial use. Use for: background music, soundtracks, jingles, podcasts, video scores, game audio. Triggers: elevenlabs music, eleven labs music, ai music, generate music, music generation, compose music, ai composer, create song, soundtrack, background music, jingle, elevenlabs compose, music ai
ElevenLabs text-to-speech with 22+ premium voices, multilingual support, and voice tuning via inference.sh CLI. Models: eleven_multilingual_v2 (highest quality), eleven_turbo_v2_5 (low latency), eleven_flash_v2_5 (ultra-fast). Capabilities: text-to-speech, voice selection, stability/style control, 32 languages. Use for: voiceovers, audiobooks, video narration, podcasts, accessibility, IVR. Triggers: elevenlabs, eleven labs, elevenlabs tts, premium tts, professional voice, ai voice, high quality tts, multilingual tts, eleven labs voice, voice generation, natural speech, realistic voice, voice over, speech synthesis
ElevenLabs voice changer - transform any voice to a different voice while preserving speech content and emotion via inference.sh CLI. Models: eleven_multilingual_sts_v2 (70+ languages), eleven_english_sts_v2. Capabilities: speech-to-speech, voice transformation, accent change, voice disguise. Use for: content creation, voice acting, privacy, dubbing, character voices. Triggers: voice changer, speech to speech, voice transformation, change voice, voice swap, voice conversion, voice disguise, eleven labs voice changer, elevenlabs sts, transform voice, ai voice changer, voice modifier
Conversion optimization and UX strategy for premium websites. Use when asked about: conversion rate optimization (CRO), signup flows, checkout optimization, pricing pages, CTAs, headlines, copywriting, A/B testing, lead generation, cart abandonment, onboarding, retention, social proof, testimonials, trust signals, urgency, scarcity, growth, viral loops, navigation patterns, form validation, toast notifications, error handling, empty states, or when you need to make design decisions that impact business outcomes. This skill provides the "why" behind design choices. References elite-design-core for visual hierarchy. Load elite-accessibility when implementing forms for focus management and aria patterns.
Generate an EliteForge Java service project via Maven archetype wrapper script. Use when users ask to scaffold a new EliteForge service, provide companyName/productName/serviceName (kebab-case), need Maven archetype generation execution, or want tech stack to enableXXX mapping.
Incident response methodology. Use when a target host is suspected of being compromised, when backdoors/trojans/suspicious processes/suspicious accounts need to be investigated, or when security incident tracing and analysis is required. Covers account auditing, process investigation, network connection analysis, startup item/scheduled task checks, log analysis, and Rootkit detection on both Linux and Windows.
Evaluate the quality of any AI-generated artifact — visualizations, code, documents, conversations, or any skill output. Works in 3 phases: (1) Generate evaluation specs tailored to the artifact type, (2) Run comprehensive evaluation against those specs, (3) Produce a beautiful visual report using the /visualize skill. Use after any skill produces output, or invoke directly with /evaluate <file-or-context>. Supports evaluating: HTML visualizations, code projects, documents, agent conversations, slide decks, dashboards, or any artifact with quality dimensions.
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.
Crafts senior leadership communications that deliver judgment rather than activity reports, connecting directly to organizational strategy and driving clear decisions. Use when presenting to board members, C-suite executives, or senior leadership — including status updates, recommendations, and escalations.
Design and audit product experiments, A/B tests, feature rollouts, pricing tests, onboarding tests, lifecycle experiments, holdouts, guardrail metrics, sample plans, decision rules, and learning reviews. Use when testing product, UI, growth, monetization, retention, marketplace, or live-ops changes and the agent must avoid false confidence or harmful experiments.
Explainer video production guide: scripting, voiceover, visuals, and assembly. Covers script formulas, pacing rules, scene planning, and multi-tool pipelines. Use for: product demos, how-it-works videos, onboarding videos, social explainers. Triggers: explainer video, how to make explainer, product video, demo video, video production, video script, animated explainer, product demo video, tutorial video, onboarding video, walkthrough video, video pipeline
Extract a website's design system into a DESIGN.md file (the google-labs-code/design.md format). Use this whenever the user gives a site URL and wants to capture, reverse-engineer, clone, or document its visual identity — colors, typography, radius/spacing scales, components, and brand feel. Triggers on phrasings like "extract the design system from <url>", "make a DESIGN.md from <site>", "get the design tokens off <site>", "what's the color palette / fonts on <site>", or "I want my UI to look like <site>". It samples a few real pages with playwright-cli, reads CSS custom properties + computed styles (precise, cheap), takes light screenshots for prose, and validates with the official linter. Prefer this over eyeballing a screenshot whenever the goal is a reusable design spec.
Senior FDA consultant and specialist for medical device companies including HIPAA compliance and requirement management. Provides FDA pathway expertise, QSR compliance, cybersecurity guidance, and regulatory submission support. Use for FDA submission planning, QSR compliance assessments, HIPAA evaluations, and FDA regulatory strategy development.
Walk a person through a subject, codebase, whitepaper, or complex system until they genuinely understand it. Use whenever the user wants to understand or learn something: "explain X", "walk me through this repo/paper", "help me understand how Y works", "onboard me onto Z" — even if they never mention a learning method. Explains with Feynman-grade simplicity (plain language, analogy, concrete example before abstraction) and research-backed structure (big picture first, one segment at a time, checks matched to the goal), gauges understanding only AFTER the walkthrough to see where more coaching helps, and produces a standalone, sharable reference explainer — persisted as an Open Knowledge Format (OKF) bundle with source fingerprints pinned, so later sessions can review the knowledge and refresh it diff-aware when the codebase, document, or topic changes. A guided walkthrough, not a study regimen: retention tooling (spaced retrieval, self-quizzing, review schedules) exists but is strictly opt-in.
This skill should be used when the user asks to "convert video", "trim video", "cut video", "extract audio", "compress video", "resize video", "create gif", "merge videos", "combine videos", "add audio to video", or needs help with ffmpeg commands for video and audio processing.
Implement Figma UI with export-faithful assets, a screen×state inventory, a control measured in its shipping parent, and a durable living spec in the target repo (state/mode/basis, required Assets subsection). With a component workbench (Storybook or similar), also deliver inventory-covering stories and spec-locking tests. Use when implementing from Figma URLs/nodes or for pixel-level restoration; light/dark is in scope when the file has modes or the project has theme switching. In the same run, measure laid-out frames via figma-pixel-verify until passing; no person is needed between iterations. Triggers — 「像素级还原」「按稿实现」「Figma 对齐实现」「还原 Figma」「figma 保真实现」「暗黑模式还原」「多主题保真实现」 / implement from Figma, pixel restore, dark mode implement, multi-theme fidelity. Do NOT use for code→Figma canvas writes, creative UI without a design, or post-implementation alignment checks alone (use figma-pixel-verify).
Measure laid-out frames of a running UI against a Figma living artifact (inventory + spec + Verify section). Use when checking pixel alignment / 对照 Figma 验收 after implementation, including light/dark or hover/variant states (switch theme and state, measure each row). Non-document UIs use a layout-probe; source-constant comparison is not a pass. Fix and remeasure in the same run until overall PASS, without asking a person. Critical unmeasured rows fail overall. The checker must exit 0; a layout probe mounts the shipping parent. An openable channel must cite a saved, non-empty screenshot file; layout-probe may say not-openable. Triggers — 「检查像素对齐」「对照 Figma 验收」「设计保真检查」「是否对齐稿面」「figma 保真检查」「暗黑模式验收」「多主题保真检查」 / verify Figma fidelity, pixel check, dark mode fidelity check, multi-theme verify. Do NOT use as the primary implementation workflow (use figma-pixel-implement) or for code→Figma.
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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.