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Found 2,163 Skills
Playbook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.
Adds user authentication to web and mobile apps with Amazon Cognito (user pools and identity pools) and the AWS Amplify client auth libraries. Covers sign-up/sign-in flows and the login page (Cognito-hosted UI / managed login), MFA, password policies, OAuth 2.0 / OIDC flows (auth-code + PKCE, client credentials), social/SAML federation, tokens (ID/access/refresh, rotation, revocation, storage), Cognito Lambda triggers, identity pools (temp AWS creds), and gating API Gateway (or ALB) routes to signed-in users via Cognito/JWT authorizers. Applies when adding a login or sign-up page, configuring a user pool or app client, choosing user pool vs identity pool, wiring social/SAML, refreshing tokens, requiring sign-in on an API Gateway or ALB, or debugging redirect_uri/token/MFA/CORS/federation errors. Does NOT cover Amplify Gen2 backend definitions (defineAuth, npx ampx → aws-amplify), IAM/STS/Identity Center (→ aws-iam), or API Gateway/Lambda resource config beyond the authorizer (→ aws-serverless).
Use this skill when the user wants reusable code, scripts, examples, or docs that build on Steel cloud browsers with SDKs, REST APIs, Playwright, Puppeteer, Stagehand, Browser Use, credentials, profiles, files, extensions, embeds, proxies, or CAPTCHA APIs. Do not use for live web browsing performed by the agent; use steel-browser. Route failed-session diagnosis to steel-session-debugging and reliability mitigation to steel-reliability.
Author and run a durable AI chat agent with chat.agent from @trigger.dev/sdk/ai: the per-turn run loop, why you MUST spread ...chat.toStreamTextOptions() first, returning a StreamTextResult vs calling chat.pipe(), the two server actions (chat.createStartSessionAction + auth.createPublicToken), and wiring useChat to useTriggerChatTransport. Load this when building, modifying, or debugging a chat backend (the agent task or its lifecycle hooks) or its React transport, when declaring typed tools or custom data parts, or when migrating a plain AI SDK streamText route to chat.agent.
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.
OpenTelemetry Collector component configuration. Use when authoring, reviewing, or debugging Collector YAML for a specific receiver, processor, exporter, connector, or extension — config keys, defaults, validation rules, signal support, stability levels, and component-level gotchas. Triggers on Collector component questions including receivers, processors, exporters, connectors, extensions, component renames, signal support, and pipeline wiring.
Assumption Inversion — list the assumptions behind the current approach and flip each one, then ask where the flipped version could actually be true. Use when requirements encode beliefs nobody has questioned, when a design feels inevitable, or when incumbents all share one blind spot. Triggers include "invert", "flip it", "flip the assumption", "reverse the premise", "what if the opposite were true", "challenge the assumption". Do NOT use for analytical work like debugging, code review, or implementation tasks.
Build and maintain Dexie.js data layers for IndexedDB-backed offline-first web applications. Use when tasks involve Dexie setup, schema/index design, CRUD/query implementation, transactions, live queries, migrations, or debugging in Vanilla JS, React, Next.js, TanStack Start, Svelte, or SvelteKit.
Build Celigo flows -- pipelines that move data from source systems to destination systems on a schedule or in response to events. Covers scheduling, chaining, error management, and abstract/instance templating. Use when creating, editing, or debugging flows.
Build a time-lock vault dApp on Midnight Network — users lock unshielded NIGHT tokens in a Compact smart contract until a Unix timestamp, then the beneficiary releases them. Covers locker.compact (blockTimeGte unlock), Next.js frontend, 1AM wallet integration, low-level deploy/call, indexer polling, and ZK asset hosting. Use for token vesting, liquidity locks, escrow-style lockups, or any "lock until date" dApp on Midnight. Triggers: locker dApp, token lock, time vault, vesting schedule, lockup, release tokens, blockTime deadline, receiveUnshielded/sendUnshielded vault. Also use when debugging unlock timing, beneficiary auth, or extending the payment-dapp wallet/provider pattern.
Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the user does not name it: verify operator step sequence, detect missing or out-of-order SOP steps, score factory/work-cell video for procedure compliance, run VLM-based SOP checking on industrial cameras, or call /v1/chat/completions with a file, RTSP, or Basler camera. Also trigger for its internals: SOPVideoProcessor, DeepStream GEBD model (e.g. DDM) via Triton CAPI, nvds_custom_postprocess, Cosmos Reason 1/2 vLLM, SSE streaming, Kafka NvProto/JSON output, Basler/Pylon camera + emulation, Docker compose, chunk-level latency. Do NOT trigger for generic DeepStream pipelines, object detection/tracking, NIM imports, or video summarization.
Use this skill to write, debug, evaluate, and validate FEEL (Friendly Enough Expression Language) expressions for Camunda 8 — the expression language Zeebe uses in BPMN, DMN, and Camunda Forms. Use for: gateway conditions and conditional sequence flows; service-task input/output mappings; timer durations and cycles (ISO 8601 PT.../R...); DMN input/output entries; Camunda Form validation rules and conditional visibility; connector result and error expressions; list filters, projections, and quantifiers; date and duration arithmetic; type coercion (number-to-string); null-safe access; debugging FEEL_RESOLUTION_ERROR or "Can't add 'N' to ..." warnings. Do not use for: writing the BPMN XML around expressions (use camunda-bpmn) or designing form structure (use camunda-forms). **Utility skill** — FEEL is reused inside BPMN, DMN, forms, and connector configuration. Covers c8ctl feel evaluate for validating expressions.