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Found 11,838 Skills
Codex-facing entry point for building with Alchemy. Routes to `alchemy-api` for API key-based access or `agentic-gateway` for gateway-based access when the user has not chosen an auth path yet.
Instrument, trace, evaluate, and monitor LLM applications and AI agents with LangSmith. Use when setting up observability for LLM pipelines, running offline or online evaluations, managing prompts in the Prompt Hub, creating datasets for regression testing, or deploying agent servers. Triggers on: langsmith, langchain tracing, llm tracing, llm observability, llm evaluation, trace llm calls, @traceable, wrap_openai, langsmith evaluate, langsmith dataset, langsmith feedback, langsmith prompt hub, langsmith project, llm monitoring, llm debugging, llm quality, openevals, langsmith cli, langsmith experiment, annotate llm, llm judge.
Integrate InFlow stablecoin payments into any project. Use this skill when the user wants to: accept payments, add a checkout, request a payment, build a payment flow, integrate InFlow, accept USDC/USDT/EURC/PYUSD, set up consumer login via InFlow, register users with InFlow, handle payment webhooks, create spending policies for autonomous agents, build a 0-click headless payment flow, or add InFlow checkout to a marketplace app (note: native multi-recipient splits are not supported by the InFlow API). Also trigger on: 'add inflow', 'inflow payment', 'inflow checkout', 'stablecoin payment', 'crypto payment', 'accept stablecoins', 'pay with usdc', 'inflow webhook', 'inflow login', 'inflow policy'.
Regenerate an existing printed CLI from scratch under the current Printing Press, with prior research and prior novel features carried into the novel-features subagent's reprint reconciliation rather than dropped on the floor. Pulls the CLI from the public library if it isn't local, recommends reuse-vs-redo of prior research based on age, then hands off to /printing-press with the right context. Use when a machine upgrade would benefit a published CLI more than manual polish. Trigger phrases: "reprint <api>", "regenerate <api>", "redo the <api> CLI", "rebuild <api> from scratch", "this CLI would benefit from a reprint".
Meme Trench Scanner v1.0 — Agentic Wallet TEE signing automated trading bot. onchainos CLI driven (no API Key needed), full coverage of 11 Solana Launchpads, 5m/15m B/S precision signal detection, price position filter (TOP_ZONE 85%), TP2 100% exit (no moon bag), TraderSoul AI observation system, FAST_DUMP 10-second crash detection, 3-check position protection. Triggers when the user mentions meme trench scanner, meme scanner, chain scanner, memepump scan, Tranches scan, pump.fun chain scan, safety filter chain scan, dev rug detection, bundler filter, on-chain scanning strategy, 扫链, Meme 扫链, or wants to automatically scan and trade pump.fun migrated tokens based on memepump.
Salesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
Salesforce Data Cloud Act phase. Use this skill when the user manages activations, activation targets, data actions, or downstream delivery of Data Cloud audiences and data. TRIGGER when: user manages activations, activation targets, data actions, or downstream delivery of Data Cloud audiences and data. DO NOT TRIGGER when: the task is segment creation (use segmenting-datacloud), data retrieval/search work (use retrieving-datacloud), or STDM/session tracing (use observing-agentforce).
Salesforce Data Cloud Connect phase. Use this skill when the user manages Data Cloud connections, connectors, or sets up a new source system. TRIGGER when: user manages Data Cloud connections, connectors, connector metadata, tests a connection, browses source objects or databases, or sets up a new source system. DO NOT TRIGGER when: the task is about data streams or DLOs (use preparing-datacloud), DMOs or identity resolution (use harmonizing-datacloud), retrieval/search (use retrieving-datacloud), or STDM telemetry (use observing-agentforce).
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.