Total 54,373 skills, AI & Machine Learning has 9044 skills
Showing 12 of 9044 skills
Catalyst Zia Services and QuickML — OCR, Face Analytics, Text Analytics, Object Detection, Barcode Reader, Content Moderation, and AutoML predictions. Trigger on 'Zia', 'QuickML', 'OCR', 'face detection', 'text analytics', 'AutoML', 'ML model', or 'train a model on Catalyst'. DC restrictions: Identity Scanner is IN DC only; AutoML/QuickML is not available in EU, AU, IN, JP, SA, CA data centers.
Implement an approved spec or focused unambiguous task through stale-safe source edits. Use when the user wants code written — "implement this", "cook this spec", "/cook .cheese/specs/<slug>.md", or "fix this bug" when the fix is clear; also when the user just says "go" or "ship it" with a spec or clear acceptance criteria in scope. Runs standalone on an unambiguous task — a spec helps but is not required. Do NOT use for fuzzy planning (`/mold`), no-write discussion (`/culture`), or review-only work (`/age`).
Apply fixes from an /age report, finding list, or CI failure, then run the project's test/lint/build gates and hand a clean cure to /plate for commit/publication. Use when the user wants selected findings resolved. Do NOT use for review (route to /age), test authoring (route to /press), or direct publication (route to /plate).
Converge a fuzzy idea or half-formed feature into an approved spec through an iterative, grounded design dialogue. Use when the user has a fuzzy idea or design direction — phrases like "let's design X", "I'm thinking about Y", "what should the API for Z look like", "shape this into a spec", "what would it take to build/set up X", "I want to add a feature that…", "/mold". Use even when the user is "just thinking out loud" if they want the dialogue to leave behind a written artifact. Do NOT use for free-form discussion with no artifact intent (`/culture`), direct implementation (`/cook`), or research-only questions (`/briesearch`).
Set up or check claude-mem cloud sync with cmem.ai Pro. Use when the user says "set up cloud sync", "sync my memories", "cmem pro", "cloud backup", "sync status", or wants their memory database backed up or synced to their cmem.ai account.
Only use this when the user requests to configure, check, test, repair, disable, or uninstall the DeepSeek native sub-Agent of Codex; do not trigger it for ordinary DeepSeek API issues or daily coding tasks after configuration.
Migrate vision/detection/segmentation small models to Ascend NPU, covering the full workflow: model structure analysis, migration verification, performance profiling, and optimization. Based on torch_npu and msprof Use this skill when the user wants to: (1) migrate encoder-only models like ResNet, YOLO, UNet to Ascend NPU, (2) analyze model structure for migration feasibility, (3) verify model inference on NPU, (4) identify performance bottlenecks and get optimization suggestions Trigger: user mentions "migrate", "migration", "Ascend", "NPU", "YOLO", "ResNet", "encoder-only", "detection", "segmentation", "adaptation", "adapt", "迁移", "昇腾迁移", "小模型", "适配", "昇腾适配", "GPU迁移", "NPU适配", "适配NPU", "适配昇腾"
Huawei Cloud Ascend model deployment and testing skill for large language models on Ascend DevServer (910B series). Supports single-machine and dual-machine deployment for LLM, VL (vision-language), Embedding, and Rerank models. Provides model inference testing, deployment log viewing, and status monitoring with automated model matching and deployment script generation. Use this skill when the user wants to: (1) deploy a model on Ascend DevServer, (2) test model inference, (3) view deployment logs or status, (4) list supported models, (5) check deployment prerequisites. Trigger: deploy, test, model list, deployment log, Ascend, DevServer, 910B, ModelArts, LLM, VL, Embedding, Rerank, multimodal, inference, model catalog, 昇腾, 部署模型, 测试模型, 模型列表, 部署日志, 模型部署, 推理测试
Apply the skills collection's UPGRADE_NOTES.md after an upgrade. Re-syncs installed tracker and browser-provider descriptors while preserving local edits, reports custom-provider gaps, checks pipeline config and installed artifacts, and summarizes exactly what changed.
AI-native tutor and onboarding workflow for the four independent Claude certification tracks in AI Engineering from Scratch. Use when a learner wants to choose a Claude certification, prepare for CCAO-F, CCDV-F, CCAR-F, or CCAR-P, resume a certification path, learn the next lesson interactively, run and verify practical labs, build scored artifacts, take a diagnostic or mock exam, or remediate weak exam domains from GitHub with Claude Code, Codex, ChatGPT, Cursor, or another agent.
Use when building, migrating, or debugging Agent Evals on Inngest: scoring AI agent or workflow outcomes, deferred scorers, sessions, traces, step experiments, experiment variant attribution, Insights queries, or production eval loops for prompts, models, tools, providers, and agent behavior. Covers TypeScript SDK v4 scoring beta APIs, `scoreMiddleware`, `step.score`, `inngest.score`, `createScorer`, `defer`, `group.experiment`, `experimentRef`, `meta.sessions`, and when to use durable workflow primitives for outcome-based evaluation.
Multi-platform AI image generation via DashScope/Ark/Hunyuan/Zhipu/StepFun plus Google Gemini (international), specializing in Chinese text rendering and photorealistic images