Skills
100,344 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Stock analysis and price movement forecasting. Trigger when the user expresses an intent to analyze, evaluate, or forecast, such as “Analyze Tencent,” “How has 0700 performed recently?”, “Is XX worth buying?”, “Forecast the future trend,” or “Generate an analysis report.” Do not trigger this Skill for simple queries such as “What is Tencent’s current price?” or “What is the ticker for Moutai?” Supports Hong Kong, A-share, and US stocks. Integrates multiple data sources, including news, fundamentals, technical indicators, capital flows, and macroeconomic information, to produce a multidimensional analysis and a structured report combining text, images, and visual charts. Requires a multimodal primary model (such as glm-5v-turbo) that can read images.
Expert patterns for Godot 3D PBR materials using StandardMaterial3D including albedo, metallic/roughness workflows, normal maps, ORM texture packing, transparency modes, and shader conversion. Use when creating realistic 3D surfaces, PBR workflows, or material optimization. Trigger keywords: StandardMaterial3D, BaseMaterial3D, albedo_texture, metallic, metallic_texture, roughness, roughness_texture, normal_texture, normal_enabled, orm_texture, transparency, alpha_scissor, alpha_hash, cull_mode, ShaderMaterial, shader parameters.
Expert blueprint for hierarchical finite state machines (HSM) and pushdown automata for complex AI/character behaviors. Covers state stacks, sub-states, transition validation, and state context passing. Use when basic FSMs are insufficient OR implementing layered AI. Keywords state machine, HSM, hierarchical, pushdown automata, state stack, FSM, AI behavior.
Interact with all Google Workspace APIs via the gws CLI. Use when managing Drive files, sending/reading Gmail, creating Calendar events, reading/writing Sheets/Docs/Slides, managing Chat spaces, contacts, Admin users/groups, Vault eDiscovery, Classroom, Apps Script, Workspace Events, or configuring the gws MCP server. Triggers on Google Workspace, gws, Drive, Gmail, Calendar, Sheets, Docs, Slides, Chat, Tasks, Meet, Forms, Keep, Admin, People, Vault, Classroom, Apps Script, Cloud Identity, Alert Center, Groups Settings, Licensing, Reseller, Model Armor, gws CLI, gws mcp, Google API, Workspace automation, npx skills add.
Two-thread adversarial review: a fresh reviewer constructs the strongest 200-word rejection memo, then a second fresh reviewer defends the paper point-by-point and surfaces still-unresolved critical issues. Use when user says "kill argument", "adversarial review", "hostile review", "rebuttal preparation", "reviewer-2 simulation", or before submitting a theory paper that has already passed standard review rounds.
Runs the Metabase semantic checker against a tree of Representation Format YAML files to verify that all references resolve — cross-entity references (collection_id, dashboard_id, parent_id, parameter source cards, snippet references, transform tags, etc.) and references to columns inside MBQL and native queries. Slow (≥1 min per run). Only use when the user explicitly asks to verify entity references or column references in MBQL/SQL queries; in most cases this runs as a CI step, not locally. Requires database metadata on disk (by default `.metadata/table_metadata.json`)
Deploys and operates a LiveKit agent in production: shipping a version to LiveKit Cloud and rolling it back, secrets and configuration, the worker process model and prewarming, safe async inside worker processes, provider timeouts and degradation, graceful shutdown, SDK upgrades, and observability. Use when the user says "deploy my agent", "roll back the deployment", "tail the agent logs", "the first call after a restart is slow", "attached to a different loop / event loop is closed", "prewarm the VAD", "shut down without dropping calls", "upgrade livekit-agents safely", "correlate logs by session", or is changing an agent codebase that is already live. Not for designing the agent (building-livekit-agents) or reproducing one bad conversation locally (debugging-livekit-agents).
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload, converts Markdown to rich text, and automatically converts unsupported elements (tables, mermaid diagrams, deep headers) to images.
Generates animation configurations for Remotion including spring configs, interpolations, easing functions, and timing logic. Focuses ONLY on animation parameters, NOT component implementation. Use when defining animation behavior or when asked to "configure animations", "setup spring configs", "define easing curves".
SEO optimization with keyword analysis, readability assessment, technical validation, content quality. Use for search rankings, blog posts, content audits, or encountering keyword density, readability scores, meta tags, schema markup errors.
three.js asset I/O using LoadingManager, Cache, FileLoader, image and texture loaders, GLTFLoader with DRACOLoader and KTX2Loader, and common format loaders under Addons; symmetric exporters such as GLTFExporter and texture/buffer exporters. Use when loading or exporting models, HDR, LUT, fonts, or compressed textures; for runtime Texture object parameters after load use threejs-textures; for scene graph placement use threejs-objects.
Fetch tweets, replies, timelines, search results, X Lists, and X Articles from X/Twitter without login or API keys. Single tweets: zero dependencies (FxTwitter). Timelines/search/replies: a Nitter instance (XTF_NITTER). Lists/Articles: a browser driver (Camofox or Playwright). Unified JSON schema across all backends; machine-readable error_code for agent branching. Field reports and agent-use questions: Agent Waystation #22 Teahouse: https://github.com/ythx-101/openclaw-qa/discussions/22
Foundation skill that captures and stores core brand context — identity, audience, positioning, values, and voice. Use when the user says "set brand context", "save my brand info", "store brand details", "brand profile", "create brand context file", "update brand context", or when starting any brand project for the first time. Every other brand skill reads this file first. Always run this before beginning any brand work if the context file doesn't exist yet.
Line-by-line copy editing and improvement for marketing content. Polish existing copy for clarity, conciseness, impact, and conversion. Trigger phrases: "edit my copy", "improve this copy", "polish this text", "copy edit", "make this clearer", "tighten this up", "proofread", "review my copy", "make this more persuasive", "fix my writing".
Expert reference for the Dev Container ecosystem. Consult this skill whenever the user is setting up a dev container, configuring or debugging devcontainer.json, working in a Docker-based development environment, or asking about dev containers, GitHub Codespaces, DevPod, or Zed—even if they don't say “devcontainer” explicitly. Covers the full Dev Container spec, schema validation, tool-specific behaviors and limitations (VS Code, Cursor, Zed, Codespaces, CodeSandbox, Podman), Features and Templates (choosing, authoring, publishing), lifecycle scripts, environment variables, port forwarding, multi-container setups, and official best practices from containers.dev and devcontainers.github.io. Also use when the user is confused by container behavior that differs between tools, wants to write or publish a custom Feature, or needs to validate or debug a devcontainer.json.
Use herdr-core (its CLI is hc) whenever you want sub-agents, to talk to or coordinate other agents, run background tasks or servers, run long-running commands, read or control terminals, or work on another machine; also to show or arrange things in the Herdr window or build Herdr mods and layouts. Prefer it over your own sub-agent tool, shell '&', nohup or tmux
Audit iOS and Android mobile applications against OWASP MASVS / MASTG — insecure storage, weak crypto, certificate pinning, deeplinks, IPC, jailbreak/root detection, reverse-engineering resistance. Use when the user mentions 'mobile security,' 'iOS security,' 'Android security,' 'mobile audit,' 'mobile pentest,' 'MASVS,' 'MASTG,' 'certificate pinning,' 'jailbreak detection,' 'root detection,' 'deeplink,' 'URL scheme,' 'app transport security,' 'keychain,' 'keystore,' 'mobile reverse engineering,' or has a mobile app to review.
Audits an existing NestJS repository with bundled semantic guidance and optional specialist skills, then returns one prioritized, evidence-backed code-quality report. Use when asked to check a whole NestJS codebase or a scoped folder for syntax, TypeScript, lint, module-boundary, dependency, design-smell, security, testing, performance, reliability, or production-readiness problems. This is a read-only review workflow: it does not fix code, install dependencies, run migrations, or deploy. When other skills also apply, reconcile ownership before mutation.
When the user wants to build or improve a sales bot's ability to identify common pushbacks and deliver appropriate responses. Also use when the user mentions "detecting objections," "handling objections automatically," "bot objection handling," "automated objection responses," or "objection classification."
Guides writing effective rebuttals after receiving peer review feedback. Covers review diagnosis (score-driven color-coding), response strategy (champion identification, common-theme consolidation), tactical writing (18 rules), and counterintuitive rebuttal principles. Use when: user received reviewer scores/comments, needs to write a rebuttal or author response, wants to respond to specific criticism (e.g. 'limited novelty', 'missing baselines'), mentions 'rebuttal', 'reviewer comments', 'author response', or 'respond to reviewers'. Do NOT use for pre-submission self-review (use paper-review instead).
A resume audit and optimization skill for job seekers. Use it to: (1) deeply audit resume content and identify the issues most affecting interview success; (2) rewrite responsibility-focused statements as achievement-focused ones, highlighting measurable results, business value, and deliverables; (3) tailor keywords, project emphasis, and career narrative to the target job description; (4) generate a revised resume draft and action checklist; (5) create a condensed one-page resume when requested. Suitable for resume diagnosis, optimization, rewriting, pre-application revisions, and pre-interview self-review. Keywords: resume optimization, resume diagnosis, resume rewriting, resume review, career coaching, one-page resume.
Use when color grading, color correcting, or relighting an existing video or still with deterministic code instead of a generative model: cinematic looks (teal and orange, film stock, bleach bypass, noir, duotone, faded 70s), golden hour, blue hour or day-for-night, log footage (S-Log3) to Rec.709, matching a reference image’s colors, black and white with one color kept or swapped, .cube LUT export, a look comparison grid, or a grading showreel
Generate Schema.org structured data (JSON-LD) for any page type. Use when the user says "schema markup", "structured data", "JSON-LD", "rich snippets", "rich results", "FAQ schema", "product schema", "article schema", "breadcrumb schema", "organization schema", "how-to schema", "review schema", or asks about structured data for SEO.
Addon camera and object manipulation controls: OrbitControls, MapControls, FlyControls, FirstPersonControls, TrackballControls, ArcballControls, DragControls, PointerLockControls, TransformControls; damping, target focal point, and integration with the animation loop. Use for editor-style navigation and gizmos—not a full game character controller stack; pair with Raycaster selection patterns in threejs-objects when transforming selections.
Analyze session replay patterns across experiment variants to understand user behavior differences. Use when the user wants to see how users interact with different experiment variants, identify usability issues, compare behavior patterns between control and test groups, or get qualitative insights to complement quantitative experiment results. Also covers pairing the observed behavior with a linked survey when the user wants qualitative feedback beyond what recordings show
Use Scapy to craft, send, sniff, and dissect TCP/UDP/ICMP/DNS packets, analyze pcap files, implement SYN scans, and detect anomalous traffic such as fragmented or malformed packets. Use when performing authorized network reconnaissance, protocol-level forensic analysis, or building traffic anomaly detection during security testing.
Generate Arduino and embedded C++ snippets for sensors, actuators, buses, state machines, timing, data logging, and hardware abstraction. Use when a user requests implementation code and provide the exact board, framework, toolchain, pins, voltage, memory, and library versions first. Bundled templates target UNO, ESP32, and RP2040; document unsupported board or vendor-framework behavior instead of guessing.
Brand monitoring and mention tracking via the Brand.dev API. Use when asked to monitor brand mentions, track sentiment, find PR opportunities, detect logo usage, or analyze brand presence online. Trigger phrases: "brand monitoring", "mention tracking", "brand sentiment", "PR opportunities", "logo detection", "brand.dev", "brand mentions", "media monitoring".
Creating memorable, readable, and emotionally resonant game characters that work at every scale and in every contextUse when "character design, design a character, character art, character concept, character sheet, turnaround, expression sheet, character silhouette, shape language, character proportions, iconic character, memorable character, character lineup, character family, hero design, villain design, npc design, protagonist design, character, art-direction, visual-design, game-art, concept-art, silhouette, shape-language, color-theory, costume, expression, turnaround, iconic, readable" mentioned.
Use when multiple workflows duplicate the same operational logic, when deciding what belongs in actions vs shared services, or when refactoring repeated operational blocks across domain flows. Use when adding new features that share mechanics with existing ones.
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.