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Found 1,865 Skills
Find implementable ML training recipes from papers, datasets, docs, and code. Use when the user wants to fine-tune, train, reproduce, or choose a practical ML method, dataset, hyperparameter setup, or benchmark recipe.
Helps DevOps engineers configure mirrord Operator's Kafka queue splitting feature end-to-end. Generates MirrordKafkaClientConfig and MirrordKafkaTopicsConsumer Kubernetes CRD YAMLs, the matching mirrord.json split_queues section, and Helm value guidance. Use this skill whenever the user mentions Kafka splitting with mirrord, MirrordKafkaClientConfig, MirrordKafkaTopicsConsumer, Kafka queue splitting, Kafka topic splitting, configuring mirrord with Kafka, setting up Kafka for mirrord operator, or troubleshooting Kafka splitting sessions. Also trigger when users mention split_queues with queue_type Kafka, or ask about connecting mirrord to a Kafka cluster. This is a Team/Enterprise feature of mirrord.
Adds, repairs, or migrates a production-grade RevenueCat plus Superwall integration in a React Native Expo app for iOS and Android. Chooses between CustomPurchaseControllerProvider and purchasesAreCompletedBy or observer-mode migration, wires Expo config and development builds, syncs identities and entitlements, handles Android base plans and offers, iOS UUID appAccountToken quirks, restore behaviour, analytics, testing, and troubleshooting. Use when the user asks to add subscriptions, paywalls, RevenueCat, Superwall, entitlements, restore flows, account switching, or monetisation migration in an Expo app. Do not use for bare React Native, RevenueCat-only UI work, or web-only billing.
Deep formal test smell audit based on academic research taxonomy (testsmells.org). Detects 19 categorized smell types — conditional logic, mystery guests, sensitive equality, eager tests, and more — with calibrated severity and research-backed remediation. Use for comprehensive test suite health assessments. For a quick pragmatic review, use test-anti-patterns instead. DO NOT USE FOR: writing new tests (use writing-mstest-tests), evaluating assertion quality specifically (use assertion-quality), or finding test duplication and boilerplate (use exp-test-maintainability).
Guides product management for human data platforms—annotation and labeling products, workforce workflows, task design, quality systems (gold sets, adjudication, inter-annotator agreement), customer ML-team project delivery, contributor experience, and privacy-safe handling of human-generated training data. Use when prioritizing roadmap for labeling/RLHF/eval data platforms, writing PRDs for annotation or QA features, defining success metrics for throughput and quality, scoping enterprise customer workflows, or balancing cost-quality-speed tradeoffs—not for hands-on model training (data-scientist), warehouse/analytics pipelines (data-warehouse-engineer), generic BRD workshops without product lens (business-analyst), AI solution architecture for copilots (applied-ai-architect-commercial-enterprise), or control implementation for audits (compliance-engineer). UX flows: product-designer. Eval harnesses: prompt-engineer-agent-prompts-evals. Pricing/packaging for platform: product-management-monetization.
Guides commercial contract review and negotiation support for B2B agreements—MSAs, SaaS/order forms, vendor and customer contracts, DPAs, SLAs, limitation of liability, indemnity, IP, payment terms, and redline/issue logs with business impact notes. Use when reviewing or negotiating commercial terms, comparing vendor or customer paper, drafting negotiation positions, or triaging contract risk before sign-off—not for SOC/ISO GRC programs or vendor questionnaire ops (compliance-specialist), technical audit evidence (compliance-engineer), revenue recognition under ASC 606 (senior-revenue-accountant), or product requirements (business-analyst), strategy (business-consultant). Corporate/board: corporate-counsel. AI architecture for contract review: applied-ai-architect-commercial-enterprise. M&A economics mandate: transaction-principal. Drafting assistance only; human counsel must approve.
Enable Claude to trade, analyze, and manage Polymarket prediction markets with 45 AI-powered tools, real-time monitoring, and enterprise-grade safety features
Complete fal.ai video-to-video system. PROACTIVELY activate for: (1) Kling O1 video editing, (2) Sora Remix transformation, (3) Video upscaling, (4) Frame interpolation, (5) Style transfer (anime, painting), (6) Object replacement/removal, (7) Color correction, (8) Video enhancement pipelines. Provides: Edit types (general/style/object), upscaling options, style keywords, enhancement workflows. Ensures consistent video transformation without flickering.
Lets end users add, authenticate, and manage MCP servers from the browser in assistant-ui apps with @assistant-ui/react-mcp. Use when building user-managed MCP server UIs: mounting McpManagerResource via useAui({ mcp }), declaring presets with defineConnector, dropping in McpConfigDialog, or composing McpManagerPrimitive (Root, Connectors, CustomServers, AddCustomTrigger), McpServerPrimitive (Root, Name, Icon, Status, ConnectButton, DisconnectButton, OAuthLink, RemoveButton, Error), and McpAddFormPrimitive (NameField, UrlField, AuthSelect, AuthFields, Submit, Cancel). Covers auth modes none/bearer/oauth, the OAuth flow with McpOAuthCallback, connection states, storage via McpLocalStorage/McpMemoryStorage/McpCustomStorage, reading state with useAuiState (s.mcp, s.mcpServer), and imperative addCustomServer/connect/callTool. Distinct from developer-defined backend @ai-sdk/mcp tools in the tools skill. Reach for this when connected-server tools are missing, OAuth never completes, or servers do not persist.
Use when creating or revising model PR optimization history documents for SGLang, vLLM, or another serving framework that cite GitHub PRs. Requires manual, per-PR source-diff review and documentation of motivation, key implementation approach, most important code excerpts, reviewed files, and validation implications instead of generated or one-line summaries.
De-slop pass for any text: detects and erases the statistical fingerprints of AI writing (negative parallelism / "not X but Y", em-dash abuse, rule-of-three, false ranges, puffery vocabulary, uniform cadence, hedged both-sidesing) and rewrites the text into its target register — academic article, tweet, reddit post, email, blog, anything between. Use when the user says "fuck slop", "f*ck slop", "deslop", "de-slop this", "remove the AI tells", "humanize this", "make this not sound like AI", or invokes /fuck-slop. Also use before publishing any agent-drafted prose.
Salesforce Metadata API reference for creating, understanding, or modifying metadata XML files (.object-meta.xml, .flow-meta.xml, etc.) and any of 604 metadata types (CustomObject, Flow, ApexClass, ApexTrigger, Profile, PermissionSet, Layout, ValidationRule, RecordType, EmailTemplate, ...). Use for questions about a type's fields or XML format, or Salesforce DX project structure (force-app/main/default). TRIGGER when: authoring or editing any *-meta.xml file, asking what fields/format a metadata type has, or whenever 'Salesforce metadata' or 'sfdx project' is mentioned. DO NOT TRIGGER when: SOQL/DML/runtime sObject access (use the Enterprise API skill), Tooling API developer records (ApexExecutionOverlayAction, TraceFlag), or non-XML logic (Apex code, LWC JS, Visualforce controllers).