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Found 711 Skills
Connect to local LLM endpoints (Ollama, llama.cpp, vLLM) with automatic provider fallback. Use when: (1) you need to run LLM inference locally for privacy/cost, (2) you want to use models not available via cloud APIs, (3) you need offline capability, (4) you want automatic fallback to cloud providers when local fails.
Comprehensive map and workflows for the API domain. Triggers when users ask to 'design an API', 'secure the APIs', 'update endpoints', 'view the API ecosystem', or want to see all available API orchestration skills.
Show rich content in a popover with ShadPopover, ShadPopoverController; trigger button, toggle. Use when adding popovers, floating panels, or button-triggered overlay content in a Flutter shadcn_ui app.
Benchmark vLLM or OpenAI-compatible serving endpoints using vllm bench serve. Supports multiple datasets (random, sharegpt, sonnet, HF), backends (openai, openai-chat, vllm-pooling, embeddings), throughput/latency testing with request-rate control, and result saving. Use when benchmarking LLM serving performance, measuring TTFT/TPOT, or load testing inference APIs.
Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
Guide for using Netlify Image CDN for image optimization and transformation. Use when serving optimized images, creating responsive image markup, setting up user-uploaded image pipelines, or configuring image transformations. Covers the /.netlify/images endpoint, query parameters, remote image allowlisting, clean URL rewrites, and composing uploads with Functions + Blobs.
Verify that a developer-run feature behaved correctly by analyzing HTTP traffic captured by Fiddler Everywhere. Always use this skill when a developer asks whether their feature's HTTP calls completed correctly, wants to see what requests a feature made, needs to debug a failed API call, is checking traffic after running a feature, wants to confirm what each endpoint returned, or asks whether anything in the traffic looks wrong — even if they don't use the word "verify" or "Fiddler". Summarizes the capture by endpoint and flags likely issues such as failed calls, missing follow-up requests, retries, auth failures, timeouts, and suspicious status-code patterns. Requires Fiddler Everywhere to be running with its MCP server enabled.
Use Gate MCP through UXC for public spot and futures market data workflows with a fixed streamable-http endpoint and read-first guardrails.
Omi AI wearable platform help — open-source AI necklace for all-day conversation capture (in-person + online meetings), Developer API (`api.omi.me/v1/dev`, Bearer token, 100 req/min), app marketplace with webhook integrations, memories/conversations/action-items endpoints. Use when setting up an Omi wearable for meeting capture, building a custom Omi app or integration, troubleshooting Bluetooth disconnects or transcription accuracy, connecting Omi to Slack or CRM via webhooks, comparing Omi to Plaud or Limitless for in-person recording, or accessing Omi's API to export conversations and action items. Do NOT use for choosing between software-only note-takers without wearable needs (use /sales-note-taker).
Audionotes platform help — multi-format AI note-taker that converts voice, text, images, video, and YouTube links into structured notes with AI summaries, 100+ output templates, and WhatsApp Bot. Use when setting up Audionotes for capturing voice memos and generating AI summaries or meeting minutes, configuring Zapier automations to route notes to CRM or project tools, connecting Audionotes to Notion for automatic note syncing, troubleshooting webhook payloads not arriving at your endpoint, fixing transcription accuracy issues with accented or specialized audio, or choosing between Audionotes Free and Pro plan. Do NOT use for comparing AI meeting note-takers across platforms (use /sales-note-taker) or reviewing a sales call for coaching (use /sales-call-review).
Genesys Cloud CX platform help — enterprise CCaaS with AI-powered experience orchestration, omnichannel ACD routing (voice + digital), Architect IVR/flow builder, workforce management (WFM forecasting/scheduling/adherence), quality management (evaluations/scoring), predictive routing, agent assist, virtual agents, outbound dialer, Interaction Analytics, AppFoundry marketplace (450+ apps), REST Platform API with OAuth 2.0 and 15 regional endpoints, deep Salesforce integration (CX Cloud joint product + Service Cloud Voice BYOT), 4 tiers CX1 $75/CX2 $115/CX3 $155/CX4 $240 per user/mo + telephony minutes. Use when setting up Genesys Cloud routing or Architect flows, WFM forecasting not matching actual volume, quality management evaluations not triggering coaching, dropped calls or audio quality issues, comparing Genesys pricing tiers, integrating Genesys with Salesforce or ServiceNow, Genesys reporting hard to navigate, MFA management confusing, Genesys API integration, or evaluating enterprise CCaaS platforms. Do NOT use for building a general coaching program (use /sales-coaching) or comparing CCaaS platforms (use /sales-ccaas-selection).
Image Generation Skill: Use this skill when users need to generate images, visual infographics, create graphics, or edit/modify/adjust existing images. Based on the official formal version of the ChatGPT Image 2 model (gpt-image-2) from Apiyi Platform (https://api.apiyi.com/). This model supports precise size/quality control (including 4K) and is billed by token. Key differences from gpt-image-2-all (official reverse version): Uses /v1/images/generations and /v1/images/edits endpoints; Has explicit size parameter; Has quality parameter; Billed by token; Uses multipart/form-data to upload reference images; b64_json is pure base64 without prefix.