Skills
99,064 packaged capabilities and playbooks for agents. Install any of them with one command.
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Explains how OpenClaw, OpenShell, and NemoClaw form the ecosystem, NemoClaw's position in the stack, what NemoClaw adds beyond the community sandbox, and when to prefer NemoClaw versus integrating OpenShell and OpenClaw directly. Use when users ask about the relationship between OpenClaw, OpenShell, and NemoClaw, or when to use NemoClaw versus OpenShell. Trigger keywords - nemoclaw ecosystem, openclaw openshell, nemoclaw vs openshell, sandboxed openclaw, how nemoclaw works, nemoclaw sandbox lifecycle blueprint, nemoclaw overview, openclaw always-on assistants, nvidia openshell, nvidia nemotron, nemoclaw release notes, nemoclaw changelog.
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
Review storyboard prompts and video-request prompts before generation. Use this when a prompt draft already exists and you need to catch weak first frames, drift risk, missing constraints, bad product timing, or generic ad-like language before spending model credits.
Transform a user-supplied photo into a vertical 3:5 Gathered Scenes Zine poster that anchors truthful photography inside a spacious source-derived abstract illustration field, aggressively compresses dense foliage and other micro-detail into a few large quiet forms, integrates one high-chroma hue as compositional structure, and preserves a visibly hand-torn fibrous photo-to-paper edge. Use when the user wants a tactile minimal paper collage with simplified illustration, active negative space, restrained English-default, Chinese, or bilingual micro-text, and an unmistakable but quiet torn-paper boundary.
Extracts all videos from a YouTube playlist using apidojo's YouTube Playlist Scraper on Apify. Triggers when the user asks to: get all videos from a YouTube playlist, scrape a YouTube playlist for video data, export playlist video metadata, fetch video stats from a YouTube playlist URL, collect all videos in a YouTube channel playlist, download YouTube playlist contents, or analyze a curated list of YouTube videos. Returns video title, URL, view count, like count, duration, channel info, and description per video. Ideal for content curators, educators, and YouTube channel analysts.
Design graphic assets with Efecto — presentations, pitch decks, event posters, email headers, blog images, open graph cards, business cards, resumes, menus, infographics, invitations, newsletters, and documents. Use when asked to "design a poster", "create a pitch deck", "make a presentation", "design a business card", or any graphic design task. Requires Efecto MCP server.
Break a plan, spec, or the current conversation into a set of tracer-bullet tickets, each declaring its blocking edges, published to the configured tracker (edges as text in one file per ticket locally, or native blocking links on a real tracker).
Generate or edit images and videos through the Atlas Cloud gateway. Use for Atlas-hosted Seedance 2.5/2.0, Gemini Omni Flash, MiniMax H3, Seedream 5.0, GPT Image 2, Nano Banana 2, or when one ATLASCLOUD_API_KEY should access multiple media model families.
Extract factual claims from PR copy, verify each claim independently, attach concrete citations, and warn when certainty is low. Runs each claim through proven newsroom verification methods (lateral reading, source-tier climbing, provenance pillars, triangulation, calibrated rating) and puts the burden of proof on the speaker. Use before a pitch, press release, reactive comment, DM, or other journalist-facing draft is trusted or sent.
Finds TikTok UGC creators for brand campaigns using apidojo's TikTok scrapers on Apify. Triggers when the user asks to: find TikTok creators for user-generated content, discover UGC creators in a product category on TikTok, find micro-creators who post organic product reviews on TikTok, identify TikTok creators for paid UGC campaigns, find authentic content creators in beauty food tech or fitness on TikTok, or build a UGC creator roster for a brand. Returns creator handle, follower count, avg views, engagement rate, niche, and content samples. Ideal for e-commerce brands, DTC companies, and influencer marketing managers.
Monitors tech acquisition news and M&A activity using apidojo's Google Search scraper. Triggers when the user asks to: track tech acquisition news, monitor M&A activity in a sector on Google, find recent tech company acquisitions, track acquisition announcements in a technology category, monitor who is being acquired in a startup ecosystem, find companies that were recently acquired or merged, or research M&A trends in an industry. Returns acquisition announcements, acquirer and target company, deal size signals, and strategic rationale. Ideal for M&A analysts, startup founders, investors, and competitive intelligence teams.
Estimate intrinsic value of stocks and companies using DCF, dividend discount models, comparable multiples, and residual income. Use when the user asks about discounted cash flow, DCF models, WACC, terminal value, dividend discount models, comparable multiples, or sum-of-the-parts valuation. Also trigger when users mention 'what is this stock worth', 'fair value estimate', 'Gordon growth model', 'free cash flow valuation', 'cost of equity', 'sensitivity analysis', 'exit multiple', or ask whether a stock is overvalued or undervalued
Extracts comments from Instagram posts using apidojo's Instagram Comments Scraper on Apify. Triggers when the user asks to: get all comments on an Instagram post, scrape Instagram comment data, export comments from an Instagram URL, fetch comment text and engagement from Instagram posts, collect commenter usernames from a post, or download audience reaction data from Instagram content. Returns comment text, like count, reply count, commenter username, verified status and timestamp. Ideal for sentiment analysts, community managers and social media researchers.
Creates an opportunity solution tree connecting a desired outcome to customer opportunities and candidate solutions, preventing solution-first jumps in continuous discovery. Use when structuring scattered feature ideas or communicating how the roadmap traces to outcomes. For ranking an existing flat list of candidates, use define-prioritization-framework instead; this skill discovers the list, it does not score one
All-around Feishu whiteboard operations · Choose any of 5 drawing paths: (A) Mermaid/PlantUML server-side rendering (mind maps/sequence diagrams/class diagrams/pie charts/flowcharts/Gantt charts, the whole diagram as one node, Feishu handles the layout automatically) (B) Mermaid local engine whiteboard-cli (bypasses server-side limits such as par/participant count, every node is clickable and editable) (C) Free-form SVG drawing (any visual: flywheel/fishbone/Dashboard/poster/illustration/architecture diagram, etc., each SVG element → 1 native node that can be edited individually) → use scripts/svg_to_board.py to translate SVG into native Feishu nodes (D) Simple SVG single-node decoration (icons/stamps/small elements, SVG within 2KB) (E) Finely laid-out architecture diagrams (hand-written node JSON, absolute coordinates + color scheme + connector ID references) Use when the user asks to "draw/diagram/whiteboard/draw an architecture diagram/draw a flowchart/draw a flywheel/draw a fishbone/draw a roadmap/draw a Dashboard/draw an illustration/draw a poster/AI free-form drawing/put SVG on the board/clone a board/upload an image to the board/visualization/node diagram/refined layout". In particular, when users report "half a building in the bottom-right corner", "z_index messed up", "duplicated nodes", "complex diagram not fully rendered", "mermaid server-side failure", be sure to read references/pitfalls.md for troubleshooting. Write operations (add-board/create-notes/update/delete/clone/svg-import/upload-image/import) use the App Token (Bot identity by default) with no login needed; even if the user has run auth login, write commands still stay on the App identity. Read operations (image/nodes/export-code/svg-export/lint) automatically use the User Token after login and fall back to the App Token when not logged in. svg-export exports an SVG visual snapshot of the entire board (POST /export, base64 decoded), valid for any board (not limited to SVG nodes); combined with svg_to_board.py / board import it enables an "export → edit → write back" loop.
A complete FFmpeg-powered video editing agent. Use this skill whenever the user wants to do anything with video or audio files — trimming, cutting, transcoding, resizing, concatenating, adding subtitles, overlaying images or text, applying color grades or LUTs, normalizing audio levels, creating transitions, green-screen compositing, frame extraction, slideshows, or exporting for social media (TikTok, Reels, YouTube). Also use it for codec questions (H.264, H.265, VP9, AV1, ProRes, FFV1), hardware-accelerated encoding (NVIDIA NVENC, Intel QSV, VAAPI, Apple VideoToolbox), and any ffmpeg or ffprobe command construction. Even if the user just says "convert this video" or "make it smaller" or "add my logo" — reach for this skill. Reference documents in references/ cover filters, codecs, transitions, and hardware acceleration. Helper scripts in scripts/ handle probing, concatenation, and normalization.
Finds law firms and legal practices via Google Search using apidojo's Google Search Scraper on Apify. Triggers when the user asks to: find law firms for sales outreach, discover legal practices in a specific city, build a list of attorneys or law offices via Google, find personal injury or corporate law firms for vendor prospecting, search for law firms by specialty and location, identify solo practitioners or large law offices, or compile a law firm contact list from Google results. Returns firm name, website URL, and Google snippet per result. Ideal for LegalTech SaaS vendors, legal software providers, and B2B service companies targeting law firms.
Finds YouTube channels suitable for brand sponsorships using apidojo's YouTube scraper on Apify. Triggers when the user asks to: find YouTube channels to sponsor, discover YouTubers who accept brand deals in a niche, identify YouTube influencers for mid-roll or integration sponsorships, find channels that already run sponsors in a product category, research YouTube sponsorship opportunities for a brand, identify high-CPM YouTube audiences for B2B or SaaS sponsorships, or build a YouTube outreach list for a sponsorship campaign. Returns channel name, subscriber count, avg views, engagement rate, niche, and sponsorship history. Ideal for brand partnerships managers, SaaS marketing teams, and sponsorship agencies.
Turn approved storyboard logic, beat sheets, or prompt plans into provider-ready short-form video requests. Use this when the segment structure is already known and you need a model-agnostic request architecture that can later map cleanly into Seedance or other video generators.
Use when YouTube data is needed without Google API quotas or OAuth setup: transcripts, video metadata, channel info, search results, playlists. Triggers on pasted YouTube links, creator names, @handles, topic research, video summaries, channel browsing, or any request where YouTube content would help — even if not mentioned explicitly. Not for uploads, account management, or written-source-only research.
Always use when user asks to create, generate, or build an AWS architecture diagram, cloud infrastructure diagram, or system diagram with AWS services. Also activates for draw.io diagrams mentioning AWS services like Lambda, DynamoDB, S3, API Gateway, etc.
Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.
Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives. Use when the user asks about behavioral finance, money psychology, loss aversion, overconfidence, herd behavior, or emotional investing. Also trigger when users mention 'why do I panic sell', 'money fights with my spouse', 'I can never save enough', 'fear of investing', 'lifestyle creep', 'keeping up with the Joneses', 'Rich Life', 'money scripts', or ask how emotions affect financial decisions.
Use when operating Inngest API resources from the terminal with `npx inngest-cli@latest api`: Cloud/local run debugging, event-run lookup, function traces, function invocation, app syncs, webhooks, environments, keys, account checks, and Insights queries. Provides prescriptive command routing for agents: which CLI command to run for a run ID, event ID, app ID, function ID, Cloud environment, API key, missing ID, or potentially mutating operation. Use `inngest-cli` for dev server setup/general CLI workflows and `inngest-api` only when raw REST API v2 docs or OpenAPI fallback are needed.
TanStack Query v5 performance optimization for data fetching, caching, mutations, and query patterns. This skill should be used when using useQuery, useMutation, queryClient, prefetch patterns, or TanStack Query caching. This skill does NOT cover generating query hooks from OpenAPI (use orval skill) or mocking API responses in tests (use test-msw skill).
Precision-first adversarial bug hunting for runtime, logic, data, concurrency, and security defects. Uses deterministic risk triage, evidence-bounded retrieval, Hunter/Skeptic/Referee review, optional hybrid verification, and explicit immutable Fixer scope. Scan-only and single-pass by default; complete-coverage loops, edits, autonomous fixes, and commits each require explicit intent. Use for code review, security audits, regression hunting, PR review, and evidence-backed remediation planning in skills-capable coding agents.
Builds targeted B2B prospect lists from Twitter/X profiles and posts using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find Twitter users with a specific job title or keyword in bio, build a list of founders or executives on Twitter, find people tweeting about a topic for outreach, identify potential customers on X, scrape Twitter profiles matching an ICP description, find decision-makers in a specific industry on Twitter, or export a list of leads from Twitter bios. Returns name, username, bio, follower count, location, and recent tweet samples per prospect. Ideal for B2B SDRs, growth hackers, founder-led sales teams, and partnership managers.
Document frontend data needs for backend developers. Use when frontend needs to communicate API requirements to backend, or user says 'backend requirements', 'what data do I need', 'API requirements', or is describing data needs for a UI.
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging
Visual design guidance for bold, minimal presentations. Provides layout patterns, typography hierarchy, color specifications, and slide composition rules. Use when asking "how should this slide look?", "design guidance for...", "what layout for this slide?", or when translating content into visual structure for a presentation.
Reelary, the 100% local AI media library for your own videos and photos on Mac and Windows: install and connect it, index folders and external drives, check indexing progress, remove folders, fix errors. Use when the reelary_* tools are missing or fail, or the user wants to organize footage. Trigger on "Reelary", "media library", "index my videos", "organize my footage", "catalog my clips", "scan my drive", "make my footage searchable", "video library app", "digital asset management for video", "local video search app". Not for cloud storage or renaming files.
AE Agent system administration CLI for root and agent administrators. Use when the user asks to manage agent members, sandboxes and shared tools, company model visibility, defaults, and pricing, usage statistics and exports, cost quotas, balance alerts, IM channels, channel routing, WhatsApp Web linking, or Feishu user bindings. Must use ae-cli system commands, discover real IDs before writes, and never attempt to bypass a permission denial.
Review Roblox/Luau code for exploits, data loss, memory leaks, performance problems, lifecycle bugs, policy issues, and deprecated or superseded APIs, using a severity-ranked checklist and the full 2026 deprecation map. Use when reviewing a PR or script, auditing a game before launch, modernizing legacy code, or asked what is wrong with some Roblox code.
Tailwind CSS v4 with CSS-first configuration and design tokens. Use when setting up Tailwind v4, defining theme variables, using OKLCH colors, or configuring dark mode. Triggers on @theme, @tailwindcss/vite, oklch, CSS variables, --color-, tailwind v4.
Apply when installing, publishing, upgrading, or rolling back a VTEX IO storefront theme app (`vendor.store-theme` or any app that owns `store/blocks.json`, `store/routes.json`, and `store/contentSchemas.json`). Covers how Site Editor and theme content are scoped by the app's MAJOR version, why a major version bump leaves the new major with no merchant content and silently falls back to default theme content, the safe install-in-workspace, migrate- content with the `updateThemeIds` mutation, smoke-test, then promote workflow, the 3-way mine-wins merge that `vtex workspace promote` performs against `vtex.pages-graphql` VBase (with automatic per-minute `userData_backup` snapshots when conflicts are resolved), and the support-led recovery path. Use for any operation that changes which version of a content-holding app is installed in `master`.
Creates, deploys, and troubleshoots BigQuery User-Defined Functions (UDFs) and Remote Functions across SQL, JavaScript, Python, and Cloud Run endpoints. Use when writing custom scalar or aggregate functions in BigQuery, installing PyPI packages or Cloud Storage libraries in a Python or JavaScript UDF, or calling Google Cloud and external APIs from a Python UDF (WITH CONNECTION) or Remote Function. Don't use for standard BigQuery table/dataset CRUD (use bigquery-basics), DataFrames client workflows (use bigquery-bigframes), or BigQuery ML models (use bigquery-ai-ml).
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.