Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
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Provides expert guidance on Next.js rendering behavior, including static vs dynamic rendering, streaming, Suspense boundaries, cache components, and the prospective render system. Use when working with Next.js SSG, ISR, streaming, server components, or debugging rendering modes.
Builds Databricks data products from live web data, end to end: discovers the right Nimble web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks-* skills instead.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Run a project-manager dispatch loop over a GitHub backlog: triage and queue ready issues, claim each one, dispatch it to a parallel developer agent that returns a structured JSON report, review the results against GitHub, and drive accepted pull requests to landing — escalating to the maintainer only what genuinely needs a human decision. Ships the developer-agent operating template the loop injects into every dispatch (no custom agent types required). Use when asked to "work through the backlog", "batch-dispatch issues", "派发 issue 给开发 agent", or to stand up a multi-agent delivery loop in an ObjectStack app project. Do not use for authoring ObjectStack metadata (the domain skills cover that), for a single already-scoped change you can just make, or as a replacement for the project's own conventions file — that file always wins.
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Office automation skill suite covering document processing (Word/Excel/PPT/PDF), email management, scheduling, report generation, meeting minutes, and other office scenarios. Triggered by: creating documents, editing spreadsheets, making PPT, handling email, generating reports, scheduling, organizing meeting notes, batch file processing, and any other need to improve office efficiency.
OpenClaw official documentation knowledge base. Use when users ask about OpenClaw topics such as installation, configuration, Gateway, channel connections like WhatsApp/Telegram/Discord, Sessions, Tools, Skills, Pi Agent, CLI, and troubleshooting. Check local documentation first by default, and consider supplementing with web search only when the documentation is insufficient.
Use when the user wants to research vulnerabilities and create opengrep/semgrep SAST rules, conduct security research on CVEs or CWEs with web search, generate detection rules from vulnerability analysis, or build comprehensive security scanning coverage for a codebase.
Optimize and compress 3D assets for the web — shrink glTF/GLB models and textures using gltf-transform, gltfpack/meshopt, Draco, and KTX2/Basis, and optionally convert a model to an R3F component with gltfjsx. Use when a model is too heavy, loads slowly, or needs to be web-ready before adding it to a Three.js/R3F scene.
Improve Coval trace quality after basic ingestion works. Use when traces are sparse, missing useful STT/LLM/TTS/tool spans, missing attributes needed for Coval built-in metrics, or when a customer wants maximum debugging and observability value from agent traces.
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
Scan a repository for Opus-4.6-era patterns that break or degrade on Opus 4.7 — fixed-budget Extended Thinking parameters, retired model ID aliases, and prompts that assumed verbose default output or eager sub-agent delegation. Produces a categorized report with file:line references and migration actions. Triggers on: "opus 4.7 migration", "migrate to opus 4.7", "audit for opus 4.7", "opus 4.6 to 4.7", "scan for budget_tokens", "find retired model IDs", "adapt repo to opus 4.7". NOT for implementing migrations — this skill identifies candidates.
Use the public `orca` CLI to operate Orca-managed worktrees, folder contexts, terminals, repos, automations, worktree comments, and the browser embedded inside the Orca app. Use when the user says "$orca-cli", "use orca cli", "Orca worktree", "child worktree", "cardStatus", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "terminal send", "full handoff", "handover", "give this to another agent", "another worktree", "Orca browser", or "control the browser inside Orca". Prefer this over raw `git worktree`, ad hoc PTYs, Playwright, or Computer Use when the task touches Orca-managed state. Use Computer Use for browser windows, webviews, or desktop UI outside Orca's embedded browser.
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 5-stage recon pipeline (seed discovery, asset expansion, enrichment, exposure analysis, reporting), asset-graph discipline with 29 asset types, severity rubric (CRITICAL/HIGH/MEDIUM/LOW/INFO), confidence upgrade workflows, time budgeting, asset-level triage rules, scale-based tactics, identity-fabric mapping (Entra/Okta/ADFS/Google/SAML/M365 Teams+SharePoint+OAuth), API and auth-map methodology, JavaScript deep analysis, mobile attack surface, cloud attack surface, breach×identity correlation, detectability tagging, detection-aware probing (back-off, persona rotation), read-only validator discipline, WAF/CDN bypass + origin discovery, vulnerability prioritization (CVE/EPSS/KEV), phishing infrastructure planning + pretext development, bug bounty submission templates, client deliverable templates with risk translation, threat-actor investigation (incl. RU/CN pivots), cryptocurrency tracing, image/video forensics, chronolocation. Use when planning or executing reconnaissance against authorized targets, mapping an organization's external attack surface, investigating a person/entity, tracing crypto flows, geolocating media, or performing attribution work.
Build, review, debug, configure, migrate, teach, or plan Oxlint JavaScript/TypeScript linting with current Oxc docs and a full usage guide. Use for oxlint how-to, oxlint.config.ts, defineConfig, .oxlintrc.json, categories correctness suspicious pedantic style, plugins react import typescript unicorn vitest jest jsx-a11y nextjs, React Compiler react/immutability react/purity (1.79+ split from react/react-compiler), type-aware linting, oxlint-tsgolint, eslint-plugin-oxlint, @oxlint/migrate, jsPlugins alpha, Vite+ vp lint (lint block in vite.config), ignorePatterns, oxlint-disable comments, --fix, --debug timings, CI formats, progressive adoption, and ESLint-to-Oxlint migration.
When the user wants to optimize pallet loading, arrange boxes on pallets, or maximize pallet utilization. Also use when the user mentions "pallet optimization," "pallet packing," "pallet configuration," "pallet pattern generation," "unitization," "palletization," "case stacking," or "pallet stability." For container loading after palletization, see container-loading-optimization. For general 3D packing, see 3d-bin-packing.
Search 10 academic paper databases via REST APIs for research papers, preprints, and scholarly articles. Covers PubMed, PMC (full text), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID lookups, abstracts, full text, open access, preprints, citation graphs, author search, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X" or "look up this DOI".
Particle system modifier development framework for Cocos Creator 2.4.x. Used to create, use, and debug custom particle modifiers, supporting modification of particle position, color, size, rotation, velocity and other properties. Use this skill when you need to implement complex particle effect control in Cocos Creator.
A skill that queries data by running SQL directly against the development database. Triggered by the keywords "DB 확인", "데이터 조회", "테이블 조회", "SQL 실행", "데이터 검증". Use when an AI agent needs to immediately check development database data during backend/frontend development.
A general-purpose agent team orchestrator that takes any topic or task, assembles a team on its own, and handles research, analysis, review, and delivery of results. Triggered by the keywords "팀으로 분석해줘", "에이전트 팀으로 조사해줘", "다각도로 검토해줘", "심층 분석 부탁해", "여러 관점으로 봐줘", "think-team", "think team". Use in any situation requiring complex judgment, research, or strategic decisions rather than a simple question.
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.