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Found 9,705 Skills
Use when the user asks for stagefight or a task matching the examples below. Generate a viral "fan-filmed staged fight" clip — POV phone footage of two costumed performers having a choreographed cosplay battle on an elaborate themed stage at a live outdoor event, with a believable live-stage effect (smoke / colored fire / water geyser) and a crowd in the foreground filming. A gpt-image-2 stage still → image-to-video (Seedance, ~10s, 16:9). The advertiser-safe "theatrical performance" framing is what gets fight content past moderation. Triggers: "/stagefight", "make a staged fight video", "fan-filmed cosplay fight", "ninja/samurai stage battle", "that staged fight trend". Requires the pika MCP.
Use this skill whenever the user wants to create, customize, or troubleshoot X6 v3 graph editor diagrams. Triggers include: any mention of 'X6', 'antv x6', '@antv/x6', 'X6 editor', 'X6 图编辑', '流程图', 'DAG', 'ER图', '实体关系图', '血缘图', '组织架构图', 'UML类图', 'flowchart', 'DAG diagram', 'ER diagram', 'lineage graph', 'org chart', 'network topology', 'stencil', 'drag-and-drop editor', 'port connection', 'node port edge', 'graph editor', 'diagram editor', or requests about X6 node/edge styling, plugins (Selection, History, Clipboard, Keyboard, MiniMap, Scroller, Snapline, Stencil, Dnd, Transform, Export), interactions (panning, mousewheel, connecting, embedding), HTML shape nodes, custom shapes, serialization, or layout. Also use when debugging X6 rendering errors, v2→v3 migration, or editor interaction issues. Do NOT use for G2 statistical charts, G6 network graphs, or S2 pivot tables.
When data has both a tabular/list representation and a visual representation, show both simultaneously and keep them synchronized. Clicking a row highlights the corresponding element in the visual view, and vice versa. Applies to maps, diagrams, timelines, and charts that accompany a data table. Use when designing any UI where data appears in two different representations at once.
Social media analytics and reporting — read native platform data honestly and turn it into next actions. Use when someone wants to "check my analytics," "see how my posts are doing," "build a social media report," "which content is working," "what metrics/KPIs should I track," or to turn performance data into next steps. Measures goal-mapped SIGNAL metrics (saves, shares, watch time/retention, engagement-rate-by-reach, follower-growth-rate, CTR, conversions) — not vanity (followers/impressions/likes) — and closes the loop. Uses the METER framework. Reads brand-profile + social-strategy (goals) first. WoopSocial has NO analytics surface, so this reads NATIVE platform dashboards (+ GA4/UTM) and interprets numbers the human provides; it NEVER fabricates a metric. Feeds content-recycling, experimentation, competitor-analysis, and every growth skill. Distinct from goals-and-kpis (sets targets) and experimentation (runs tests).
Diagnose a product against Ivan Zamesin's Next Move Theory / Advanced Jobs To Be Done methodology (distinct from generic Christensen JTBD) and route to the next move. A conversational, chat-first skill — through up to ~15 adaptive questions it challenges the goal you walked in with (climbing your business-Job graph to find a higher-leverage growth point), then surfaces EVERYTHING the methodology can find: all the risks (every weak node on the chain to profit, each traced to its upstream cause), all the growth points (kill a Job, Previous/Next Job, climb a level, adjacent-segment Small Jobs, underserved success criteria), and the risky assumptions hiding inside your current initiatives (RAT). It is comprehensive on findings and focused on action — it lists them all, then says which one to tackle first and which existing skill executes it (nmt-market-research, nmt-craft-value- proposition, nmt-product-requirements, nmt-craft-go-to-market, nmt-chat). The front door for LIVE products the way nmt-market-research is the front door for new ideas. Use when the user says "diagnose my product", "what should I do next", "a metric dropped", "where are my risks / growth points", "where is this breaking", or is unsure what to work on. Chat-first: writes nothing unless asked; recommends the next skill but the user launches it. Plain language; defaults to English.
Build, review, debug, migrate, or plan TanStack Query v5 React server-state code with current docs. Use for @tanstack/react-query, QueryClient, QueryClientProvider, useQuery, useMutation, useInfiniteQuery, useQueries, queryOptions, mutationOptions, query keys, cache defaults, staleTime, gcTime, invalidation, optimistic updates, SSR, hydration, prefetching, router integration, suspense, persistence, devtools, ESLint rules, testing, TypeScript, and v4-to-v5 migrations.
Build a Niwo short-video asset bundle from a conversation. Finalize the narration script with the user, download real images and B-roll footage from the web, trim clips with ffmpeg, write content.json and manifest.json, then deliver a zip the user uploads to Niwo for rendering. Requires downloading files to local disk, shell access with ffmpeg and ffprobe, and zip. Use when the user wants to turn a topic, news story, or finished script into a short video, or asks to gather footage and stills to match a narration.
Guides the agent through connecting an MCP client to the hosted Capawesome MCP server, which exposes always-current Capawesome documentation search and the Capawesome Cloud management API. Covers setup for Claude Code, Claude Desktop, Cursor, and VS Code, API token creation, toolset selection, read-only mode, secret handling, verification, and troubleshooting. Do not use for installing Capacitor plugins, migrating apps or plugins to a newer version, running Capawesome CLI commands, or MCP servers other than Capawesome.
Guide users to thoroughly study an article/document and truly master it (not just generate a summary). Five steps: Extract key insights → Divide into sessions → Run the "Learn-Test-Teach" cycle for each session → Connect to user's scenarios → Practical operation + Quiz + Explain wrong answers + Distill learnings. Each session produces HTML courseware + documented notes; a quiz is mandatory after each session, and you must correct any inaccuracies in the user's retelling; abstract concepts can be demonstrated interactively (clickable and executable); use the user's own business scenarios as cases throughout; generate auto-graded quizzes with multiple question types after learning, and finally distill the learnings back into the user's tools. The core trigger is when the user wants to "learn" rather than "get a result", such as "Let's study this article/link together", "Teach me", "Intensive reading", "I want to learn X", "I don't understand this article, please explain it to me". Start directly when there are specific materials (links, local files, PDFs, or the user's own skill/document/code); if there is only learning intent but no materials, still use this skill, but the first thing to do is confirm the materials with the user, and never teach based on memory. Not applicable for: Only needing a summary/abstract/tutorial article where the user reads it and finishes without needing to answer questions (use readable-output), just collecting information for research (use available web/platform material collection tools), asking to write PRD/test cases (use prd-test-writer), and when the user actually wants you to do the task directly (just do it then).
Mounts Cloud Storage buckets as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when you need to interact with gcsfuse — decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size the file, stat, and list caches, tune mount flags or config-file settings, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or Cloud Storage bill spikes on existing mounts with gcsfuse metrics. Covers mount semantics, the gcsfuse CLI and config file, the GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration or data management without a mount (use the google-cloud-storage-basics skill instead) or for fully POSIX-compliant shared file systems (use Filestore or Managed Lustre).
Use when an agent must inspect or operate an authenticated SAP web UI through an in-app Browser, Microsoft Edge CDP, or an existing Playwright client, especially when SAP SSO reuse, isolated Edge profiles, deterministic target selection, screenshots, or browser bootstrap recovery is required.
Builds Nango Function implementation patterns for createAction() and createSync() without choosing a local CLI or remote API workflow. Use only when the user asks to create or update a Nango action or sync and it is unclear whether the work should happen in a checked-out project via CLI or through Nango remote APIs. Do not load when building-nango-functions-locally or building-nango-functions-remotely applies; those skills overlap with this content and add workflow-specific validation and deploy details.