Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
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Describes the NemoClaw integration layer and blueprint architecture and how they orchestrate compatible agent sandboxes. Use when looking up architecture, agent integration, plugin structure or blueprint design. Trigger keywords — nemoclaw architecture, nemoclaw agent architecture, nemoclaw plugin blueprint structure, nemoclaw vs openshell, which cli, nemoclaw cli, openshell cli, sandbox commands, nemoclaw cli commands, nemoclaw command reference, nemoclaw network policy, sandbox egress control operator approval, nemoclaw troubleshooting, nemoclaw debug sandbox issues.
Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize, evaluate, or compose these into a pipeline. Do NOT use for frontend/dashboard/visualization work, generic ML advice, billing/access, or non-Nemotron coding tasks.
Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough words or an existing policy to V2 categories, adding custom categories or topic-following rules.
Use this skill when the user asks to create, review, debug, or modernize Azure Pipelines YAML for CI/CD, especially .NET builds, Azure App Service deploys, or IIS/on-premises deploys. Prefer bundled templates and verify task syntax against Microsoft docs when version-specific accuracy matters.
Use this skill when writing, reviewing, debugging, or architecting TypeScript code. Trigger for tsconfig/compiler options, strict mode, generics, conditional/mapped/template literal types, structural typing, ESM/CJS interop, decorators, library typing, or TypeScript runtime boundary issues.
Deploy and manage Netlify projects using Next.js with serverless functions, environment variables, and continuous deployment. Use this skill when working with Netlify deployments, configuring netlify.toml, managing Netlify Functions, debugging webhooks, setting environment variables, or troubleshooting deployment issues for Next.js applications on Netlify. Essential for Twilio-Aldea and similar serverless SMS/telephony projects. v2.0 includes official Netlify documentation, production patterns from Twilio-Aldea (webhook timeout solutions, background functions), and TypeScript code examples.
Guides authorized network and infrastructure penetration testing—scoping and rules of engagement, external and internal network assessments, host and service enumeration, vulnerability validation on network services, Active Directory attack paths within scope, lateral movement documentation, segmentation testing, wireless assessment methodology (high level), evidence and remediation reporting, and retest. Emphasizes written authorization and safe boundaries. Use for network pentest, internal pentest, external pentest, AD assessment, lateral movement testing, port scan methodology when authorized—not OWASP web/API testing (web-pentester), cross-domain pentest orchestration when network is one workstream (penetration-tester), LLM/agent adversarial testing (ai-redteam), enterprise adversary simulation or purple-team campaigns (red-team-specialist), SOC triage (soc-analyst), incident command (incident-responder), or cloud guardrail implementation (cloud-security-engineer).
Ni Haixia Tian Ji (I Ching / Zi Wei Dou Shu / yangzhai feng shui / fate divination). Based on complete transcripts of 24 Ni Haixia Tian Ji lessons plus 527 screenshot evidence items, covering the heavenly way (Zi Wei Dou Shu), the human way (64 hexagrams as philosophy of living), and the earthly way (64 yangzhai feng shui configurations). Can query the knowledge base, the knowledge graph, and the Tian Ji–Ren Ji links. For traditional culture study only.
NocoBase 2 only; never use in a NocoBase 3 project. Use when users need to inspect or maintain NocoBase core AI prerequisites through nb api, including LLM providers, saved services, CLI-versus-UI configuration routing, chat models, embedding discovery, secure credentials, and dependency-safe changes.
Install, check on, or upgrade a self-hosted Nowledge Mem server (the headless Docker deployment) using the `nmemctl` lifecycle controller. Use this whenever the user mentions running their own Nowledge Mem instance, self-hosting Mem on a NAS, VPS, homelab, or server, deploying `nowledgelabs/mem` from Docker Hub, troubleshooting their Mem container, or upgrading a Mem server to a newer version. Trigger even when the user says "my Mem server", "self-hosted Mem", "the docker version of Mem", "memory server on my Synology / Proxmox / Raspberry Pi", or just describes a container that's at `docker.io/nowledgelabs/mem` without naming the product. Do NOT trigger for the Mem desktop app, Mem Cloud, or anything that doesn't touch the operator's own server.
nuqs (type-safe URL query state) for Vite React apps WITHOUT TanStack Router. Use when writing or reviewing useQueryState, useQueryStates, parseAsInteger/parseAsString/parseAsJson and other parseAs* parsers, NuqsAdapter setup, or NuqsTestingAdapter tests. Not for TanStack Router or Start apps — use route validateSearch there.
Use the Observe CLI (`observe`) to investigate production systems and pull telemetry. Reach for this skill whenever the user wants to: search or tail logs; query metrics (CPU, memory, latency, error rate, request volume, custom app metrics); explore traces and spans; correlate events across services, hosts, containers, or Kubernetes resources; investigate or triage alerts (what fired, why, what's still active, related signals); debug an incident or production issue; check service or system health; figure out what's happening with a customer, deployment, or user; find which services emit a given tag or label; slice production data by service, environment, region, host, pod, status code, etc.; or pull any observability data out of the platform for analysis, dashboards, or scripting. Also covers the underlying primitives the CLI exposes (datasets, OPAL queries, knowledge-graph tag search, alerts, monitors, AI agent skills, auth) when the user asks about them directly.
Create native Obsidian Canvas files (.canvas) from text content, supporting both MindMap and freeform layouts. This skill MUST be used when the user names Obsidian Canvas, and SHOULD be used when they want spatial organization of notes and cards. For hand-drawn whiteboard style, use excalidraw-diagram. For standard flowcharts/sequence diagrams, use mermaid-visualizer. Triggers on "Canvas", "Obsidian Canvas", "畫Canvas", "Canvas心智圖", "Canvas佈局".
Create and edit Obsidian Flavored Markdown. When tasked with creating, structuring, or initializing a new Obsidian vault or knowledge base, MUST default to the llm-wiki structure (comprising SCHEMA.md, index.md, log.md, raw/, topics/, entities/, concepts/, comparisons/, queries/). This skill MUST be used when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
Route editable PDF, DOCX, XLSX, and PPTX creation or modification tasks to the appropriate official Hermes document skill. Use when the user asks to create, edit, format, convert, fill, annotate, review, or otherwise produce an editable office document. Do not activate for simple read-only extraction or summarization. For presentation-only output where the user does not need an editable PowerPoint file, use Starchild's official slide-creator skill.
Draft, rewrite, polish, expand, condense, standardize and export Chinese official documents and formal administrative texts. Use when the user asks to write, revise, summarize, standardize, or convert 公文、决议、决定、命令、公告、公报、通告、意见、通知、通报、报告、请示、批复、议案、函、纪要, as well as 总结、简报、新闻简报、信息专报、舆情专报、汇报材料、讲话稿、工作方案、实施方案、回复函 and other formal documents of government agencies or organizations — especially when fixed document-type structures, a formal official tone, unified wording, standardized titles, hierarchical numbering, signature dates, template application, Word docx export are needed, or when current news material must be turned into formal official documents and formal briefing materials.
Generates code coverage reports for OpenHarmony C/C++ based on UT cases, supporting full and incremental coverage analysis; requires connecting to the test device via hdc. Use when: (1) the user requests full code coverage for a subsystem/component/module/test suite/test case; if a report path is provided, parse it as the --output path; (2) the user requests incremental code coverage for a component/module/test suite/test case, requiring git diff files; if a report path is provided, parse it as the --output path. Note: incremental coverage does not support subsystem-level analysis. Activate when tests need to be run by connecting to an OpenHarmony device
Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.
Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.
Keep an OpenClaw agent's non-sensitive context (selected memory, MD files, notes, and custom skills) under version control in a separate Git repository for remote review/tweaks. Use when setting up or operating a Git-based workflow to export workspace context, commit changes (possibly split into multiple commits), and push on a schedule (e.g., nightly) without leaking secrets.
Execute a spec-first one-task-at-a-time loop using OpenSpec OPSX. Use when asked to implement tasks from a list with single-task scope, spec artifacts, and sequential verification before archiving. Don't use for ad-hoc multi-task implementation, non-OpenSpec task trackers, or writing the specs themselves from scratch.
Instruments Java, Python, Node.js, .NET, and Go applications with OpenTelemetry SDKs to send traces, metrics, and logs to Coralogix. Use for SDK-side OTel setup, OTLP exporter env vars, Coralogix resource attributes, APM transaction samplers, Kubernetes Operator injection, or debugging missing traces, metrics, logs, or no telemetry from an application. Not for OTel Collector config (use opentelemetry-collector), OTTL authoring (use opentelemetry-ottl), eBPF instrumentation, or Lambda layers.
Update existing OpenWiki documentation (openwiki/ directory) after source changes — surgical, git-diff-driven edits to only the affected pages, with a no-op check when nothing changed. Use when the user wants to refresh, sync, or maintain the repository wiki.
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser through the `orca` CLI. Use when the user says "$orca-cli", "Orca worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "handoff" / "handover" / "give this to another agent", "Orca browser", "orca artifacts", or "share skills". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Orca state is involved. Use Computer Use only when a visible window needs GUI control that a CLI, filesystem, or API cannot do.
Run one dev-loop session as the driver - preflight, select, one spec end to end. Harness-generic - grooming drafts and takes run in fresh native subagents of whatever harness drives, takes in their own worktrees (an explicit invocation request may route takes through a runner file instead); the gate stays yours.
Reorganize the current branch's work into a clean, reviewer-friendly sequence of bisectable commits. Use when the user asks to clean up commits, split a messy WIP into logical commits, prepare a branch for review/PR, organize changes into bisectable history, or rewrite history so each commit builds and passes tests on its own. Triggers on phrases like "organize commits", "bisectable commits", "clean up history", "split this commit", "커밋 정리해줘", "커밋 쪼개줘", "리뷰어 친화적으로".
Open source license compliance check — for dependency lists, a single library, or code being released. Use to review copyleft obligations and license compatibility for a manifest/SBOM/repository, when asked whether a library can be shipped, or when preparing to open source code.
OpenTelemetry in Ruby — SDK setup, manual tracing, experimental metrics and logs, Bundler integration, contrib instrumentation for Rails/Rack/Sinatra/Sidekiq and other gems, propagation, performance, and upgrades. Use when adding, reviewing, configuring, or troubleshooting OpenTelemetry in a Ruby or Rails service. Triggers on "setup otel in ruby", "ruby telemetry", "Rails OpenTelemetry", "OpenTelemetry::SDK.configure", "opentelemetry-instrumentation-all", "Ruby tracing", "Rack otel", "Sidekiq otel", or any Ruby-related OTel question.
Security review requiring judgment about exploitability: injection and input handling, authentication and session management, authorization, secret storage and cryptography, and Agentic AI risks, against OWASP Top 10:2025 and ASVS 5.0. Use when user says 'review for security', 'is this secure', 'review this endpoint for injection', 'check for SQL injection or XSS', 'review auth/authorization', 'how are we storing secrets', 'check how we store secrets in this service', 'is this crypto correct', or when writing cryptography, session management, or AI agent code. Judges reachability and impact in this codebase; /clouddrove:appsec owns the deterministic checks a tool can answer (lockfile CVEs, missing headers, wildcard CORS).
Use when the user wants to search academic papers, find literature, download PDFs, or export citations. Invoke when user mentions "论文", "文献", "paper", "research", "学术搜索", "BibTeX", "DOI", or asks to find/search/download academic papers from any source.
Reproduce a paper's method in minimal, direct PyTorch when no official code is available, to check whether the method works as claimed. Use whenever the user says "reproduce this paper", "implement this paper's method", "there's no code for this paper", "I want to check if this paper actually works", "turn this algorithm/equation into code", or shares a paper/arXiv link and wants a working implementation of its core mechanism. The output is a small, single-file, readable implementation plus staged verification gates (shape checks → overfit tiny batch → baseline comparison at toy scale) and an explicit assumptions ledger for everything the paper left underspecified. Do NOT use for designing training recipes for your own experiments (pytorch-training-recipe / jax-training-recipe), auditing an existing released artifact (reproducibility-audit), or structuring a research repo (research-codebase).
Run or resume the complete Standard mathematical-modeling workflow from contest files through reproducible evidence, adaptive formal writing, native-equation Word output, and final render QA. Use as the entry point for complete-paper requests.
Fetch Paperclip llm-wiki content through the plugin bridge REST API. Use when the agent needs to read a Paperclip wiki page, list wiki pages, list captured wiki sources, convert a Paperclip wiki SPA URL into an API request, or retrieve markdown from paperclipai.plugin-llm-wiki.
Manage Paperclip llm-wiki content through confirmed plugin bridge REST write routes with strict mutation approval. Use when the agent needs to create, update, rename, archive, delete, or otherwise mutate Paperclip wiki pages or captured wiki sources, and must verify routes, show exact proposed changes, get operator approval, and read back results.
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.