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Found 1,977 Skills
Deploy and configure OpenClaw AI bot gateway with Chinese IM platforms (Feishu, DingTalk, QQ, WeChat Work) using Docker
Hostinger VPS API for virtual machine management, Docker projects, firewalls, SSH keys, backups, snapshots, OS templates, post-install scripts, recovery mode, malware scanning, PTR records, and metrics. Use when creating, managing, or troubleshooting VPS instances, deploying Docker containers, configuring firewalls, or managing server infrastructure.
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
Guide non-technical ART+COM users from an idea to a shareable internal web prototype. Use when a user wants to create or extend a prototype, choose its target display and input, check or install web-development tools, create a GitLab project under gitlab.artcom.de/prototypes, connect a Netlify site, keep a deployed prototype private with a password and out of search engines, choose between Astro, React, React Three Fiber, or optionally add MQTT.
Create FunctionGraph functions on Huawei Cloud. Use this skill when users ask to create, deploy, or upload cloud functions, serverless functions, or FunctionGraph functions. Triggered by keywords like "create function", "deploy function", "upload function", "create cloud function", "创建函数", "部署函数", "上传函数", "创建云函数", "FunctionGraph function", "serverless function".
Serve a model with MAX's `max serve` command: set up the environment (pixi or uv with the max-nightly conda channel / nightly wheel index), point the server at a Hugging Face repo or local checkpoint, target a custom architecture with `--custom-architectures`, and pick the right serve flags for the model. Use this whenever the user wants to run, launch, start, or host a model on MAX, bring up an OpenAI-compatible endpoint, serve a custom/ported architecture, debug a `max serve` startup failure, or figure out which serve flags (devices, quantization-encoding, max-length, task, trust-remote-code) a given model needs, even if they don't say "max serve" by name.
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
Start here for any Runpod task — running GPU/CPU pods, deploying serverless endpoints, templates, network volumes, building images, or understanding how Runpod works. Routes the request to the right Runpod skill (runpod-mcp, runpodctl, flash, companion-clis, or runpod-usage). Use when it is unclear which Runpod skill applies.
Create and deploy reusable React components for Webflow Designer. Configure existing React projects with webflow.json, build and bundle code, validate output, and deploy to workspace using library share. Use when building custom components for designers.
Nitro is the framework-agnostic server toolkit (powering Nuxt) for building and deploying web servers anywhere. Use when working with nitro.config, server routes/event handlers, route rules, caching, storage, tasks, websockets, or deploying to Node/Bun/Deno/Cloudflare/Vercel.
Use for the PROVIDER half of getting a locally running CopilotKit Channels agent to answer in Slack, when no Slack app exists yet — setting up a Channels bot in Slack for the first time, creating the Slack app and its tokens, attaching it to a managed Intelligence Channel, or when a Channel reports setup_required, sits at "Waiting for runtime", the Channel is Online but a Slack mention gets no reply, or a Slack app was built with Socket Mode instead of an Intelligence Request URL. Scoped to an OpenTag checkout, or the OpenTag example inside a channels-sdk clone — the phases assume those conventions (app/channel.tsx, app/env.ts, INTELLIGENCE_CHANNEL_NAME, a local agent on port 8123) and do not describe a project scaffolded by copilotkit init, which already ships its own channel host. If the Slack app and Channel already exist and the question is about declaring or customising the Channel in code, use the copilotkit-channels skill instead.
Gate fine-tuned checkpoints with drift budgets, paired comparison, and forgetting checks before promotion. Use after a training run produces a checkpoint, when deciding whether a tuned model ships, or when a promoted model needs re-gating against updated goldens.