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Found 6,484 Skills
Pulls DOIs, arXiv ids, PMIDs, PMCIDs and ISBNs out of free text, deduplicated and normalized, with the character offset of each first occurrence. Called as POST /v1/text/extract-citations, it takes text, kinds and returns count, citations, byKind. An agent handed a references section, an email or a PDF dump has to find the identifiers before it can look any of them up, and a model asked to do it by reading invents DOIs that resolve to nothing. The catalog already answers `crossref.doi-metadata` and `pubmed.citation-search`; neither could tell you what to ask them about. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.003, paid in USDC on Base over x402.
Generate preventive Well-Architected guardrails — AWS Config rules, Service Control Policies, permission boundaries, CloudWatch alarms, and IaC policy checks (CDK Aspects, cfn-guard, OPA/Sentinel) — plus an optional governance steering doc, so a workload stays aligned with Well-Architected best practices over time instead of being assessed once. Use when the user wants to enforce best practices in CI, prevent insecure or non-compliant configurations from shipping, detect configuration drift, codify the fixes from a Well-Architected review as ongoing controls, or capture standards as an always-on steering file for their AI coding agent.
Use when planning to rank for a specific keyword. The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content recommendations.
Fetch a public web page and return it as clean Markdown with its title. Capped at 2 MB. Called as GET /v1/doc/url-to-markdown, it takes url and returns sourceBytes, title, markdown, characters. This is the third-highest-demand category observed on-chain: an agent given a link needs the readable text, not the markup, and cannot run a browser itself. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.003, paid in USDC on Base over x402.
Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not use when the user just wants the agent itself to generate images, transcribe, or speak locally in the current workspace, even to cut their own API bill.
Makes this agent generate images, transcribe audio, and synthesize speech on the user's own machine through a local Lemonade Server instead of a paid cloud API. Use it above all to change that routing persistently, from now on — keep generating pictures locally while chat stays on the cloud; set this workspace up to make images on my own machine — even when the user asks for no image or file in the same breath. Also use it for a single request the user wants done locally, offline, on-device, or kept private: transcribe this recording, make this picture, read this text aloud. Applies in Claude, Cursor, Codex, or any agent harness. Use when the user wants to cut cost or tokens on image, audio, or voice API calls, or to drop DALL-E, hosted Whisper, ElevenLabs, or other paid multimodal APIs; or mentions Lemonade Server, OmniRouter, SD-Turbo, kokoro, Ryzen AI, or NPU/iGPU/dGPU inference. Changes no application source code; do not use it if the user is adding local AI to an app they ship.
NCAP five-star crash ratings for a model year, make and model: overall, frontal, side and rollover, with recall, complaint and investigation counts. Called as GET /v1/nhtsa/safety-ratings, it takes modelYear, make, model and returns found, variants, truncated. Crash-test scores are per body style and drivetrain, not per model, so an agent comparing vehicles needs the tested variant rather than a remembered headline number. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.004, paid in USDC on Base over x402.
Use when planning a topic cluster (hub + spokes) for a new content area. The agent researches the space, identifies the hub topic, maps the spokes, and produces a specific content plan with internal linking strategy.
Fetch a public URL and return its title, description, preview image, site name and canonical URL from its meta tags. Called as GET /v1/doc/url-metadata, it takes url and returns bytes, found, title, description. A publishing, chat or bookmarking agent asked to render a link preview needs the card fields without shipping an HTML parser or a headless browser into its runtime. Reading this schema and dry-running the call are free and need no wallet; a real call costs $0.003, paid in USDC on Base over x402.
Call an approved HTTPS MCP endpoint through a scoped CLI. Use when another skill needs MCP without registering server schemas in the agent context.
Evidence-based assessment of whether an SAP API/interface usage scenario aligns with the SAP API Policy (v.4.2026a). Use whenever someone asks whether a way of calling SAP is allowed/compliant — e.g. Published API vs internal/private/"confidential" API status, "Documented Use", whether a third-party tool / iPaaS / middleware / RPA bot / AI agent / MCP server may call SAP APIs, agentic or generative-AI access to SAP, bulk data extraction or replication into a lake/warehouse, custom Z/Y OData or RFC/BAPI wrappers and Clean Core, ADT/developer-tooling boundaries, ODP-RFC and other "not permitted" interfaces, partner Integration Certification, or RISE integration remediation. Trigger even when the policy is not named, e.g. "are we allowed to…", "is it compliant to…", "can we connect X to SAP…", "will this break under the new API policy". Produces a sourced technical assessment with a confidence level — explicitly NOT legal advice and NOT a final SAP compliance decision.
SAP Analytics Cloud (SAC) automated testing skill for designing capability-gated browser discovery and deterministic Playwright test suites for SAC stories, dashboards, reports, planning workflows, comments, permissions, visual regression, and reusable QA automation. This skill should be used when building SAC end-to-end tests, onboarding SAC dashboards into Playwright, creating dashboard profiles or scenario YAML, using Microsoft Edge/CDP, Chrome DevTools MCP, Vercel Labs agent-browser, or manual discovery for SAC components, testing SAC optimized stories, configuring SAC auth storage state, managing visual/data baselines, testing comments, planning writeback, data actions, multi actions, role-based views, restricted Windows/company environments, or creating SAC failure triage artifacts.