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Found 1,303 Skills
Build a multi-board dashboard for XIAO ESP32S3: each board joins WiFi (STA mode), publishes its touch sensor value over MQTT, and accepts LED on/off commands, while a browser dashboard shows every board live and lets you toggle each LED. Use this skill whenever the user wants several ESP32S3 boards reporting to one web page, an MQTT-based sensor dashboard, "여러 esp32s3 대시보드", "MQTT로 여러 보드 연결", or mentions Mosquitto/Eclipse MQTT with an ESP32S3. For a single board with no broker, use the `xiao-esp32s3` skill's own SoftAP + web server example instead.
Operate a Seeed XIAO ESP32S3 board with arduino-cli on Windows: install the core, compile, upload, read serial output, and run verified examples (blink, serial, touch, ADC, PWM, WiFi scan/AP, BLE, deep sleep). Use this skill WHENEVER the task involves an ESP32S3 / XIAO board, arduino-cli, flashing a sketch, reading the serial monitor, COM ports, or any embedded/Arduino work — even for a "simple" LED change. It contains verified commands and known pitfalls (DTR reset, deep-sleep USB drop, PSRAM flag) that prevent wasted debugging time.
Rust 言語リファレンス。 別名: rustlang, rs (拡張子)、Rust-lang。 TRPL (The Rust Programming Language)、Rust by Example、Reference、 Cargo Book、rustc Book、rustdoc Book、Rustonomicon (Unsafe Rust)、 Edition Guide、Standard Library、Error Index。 所有権、ライフタイム、トレイト、async / await、エラーハンドリング、マクロ。
Use this skill when the user wants reusable code, scripts, examples, or docs that build on Steel cloud browsers with SDKs, REST APIs, Playwright, Puppeteer, Stagehand, Browser Use, credentials, profiles, files, extensions, embeds, proxies, or CAPTCHA APIs. Do not use for live web browsing performed by the agent; use steel-browser. Route failed-session diagnosis to steel-session-debugging and reliability mitigation to steel-reliability.
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.
Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.
Transform a user-supplied photo into an expressive minimal zine poster made only from original source-derived illustration, an artistic proposition, emotional tension, visual metaphor, spacious negative space, art-directed high-chroma color, and unconstrained authorial typography. Let wording, language, amount, placement, type voices, scale, direction, legibility, and image interaction follow expression and aesthetic judgment rather than presets. Preserve source orientation by default with a 3:5 portrait output or 5:3 landscape output. Add source-derived distributed supporting accents and a natural isolated-contour option alongside adaptive paper-edge transitions. Support an exact `单色块模式` trigger for one contiguous saturated color field with all remaining forms in neutral ink. Use for authored abstract or editorial reinterpretations that communicate an emotion or idea without embedding, cropping, tracing, or preserving the original photographic material in the final image.
Authenticate to the Sumsub API with an App Token + secret key (HMAC-SHA256 request signing). TRIGGER when the user asks to "call / sign / authenticate Sumsub API requests", debugs `401 Unauthorized` / signature errors against `api.sumsub.com`, or needs a working request example with `X-App-Token` / `X-App-Access-Sig` / `X-App-Access-Ts` headers. SKIP only when a more specific skill in this repo (questionnaire/level/workflow/POA-preset/generic) already covers the user's actual task — those skills sign requests the same way and only need this one for auth deep dives.
Manages spartan/ui, the Angular UI library - adding, composing, fixing, debugging, and styling UI with the Brain (headless primitives) and Helm (styled) layers. Provides project context, component APIs, and usage examples. Applies when working with spartan/ui, @spartan-ng/brain, @spartan-ng/helm, the @spartan-ng/cli generators, or any Angular project with a components.json file. Also triggers for "spartan init", "add a spartan component", or "set up spartan/ui".
Upgrade Prisma Next in your extension. Bumps every `@internal/*` dependency to the requested target (or npm `latest`), runs the per-transition upgrade instructions for the extension SPI (middleware lifecycle, codec / migration-tools / framework-components churn, seed-migration on-disk shape), verifies the pins are correctly exact via `prisma-8-check-pins`, runs the extension's own typecheck and tests, and commits each minor step on its own. Use when the user asks to "upgrade Prisma Next" in an extension package, or to update an extension's `@internal/*` deps to a new minor.
Used to discover the minimal change that a target truly accomplishes: put identity, boundaries, quality, optimization metrics, and implementations in parentheses, keep only the concise core of 'who or what goes from A to B', compress it into the minimal structural formula of interpretable variables, verify whether it is truly decontextualized through cross-domain migration, and save it as a validated Org note. USE WHEN the user says '/ljg-is', 'What is the essence of X', 'The One', 'Find the essence of the target', 'Essence definition', 'Minimum function', 'What exactly is transformed into what', or asks to distinguish qualifiers from the core. NOT FOR asking about reasons (use ljg-think), seeking motifs or causal structures (use ljg-structure), or casually saying 'essentially' in a sentence.
goodcase.ai (Good Case) AI Viral Case & Prompt Query Skill. Trigger this Skill whenever users search for AI viral cases, good cases, 'how was this image made', 'how to generate this kind of video', 'find a prompt for XX', 'are there any ready-made prompts', 'Veo cases', 'Jimeng cases', 'Midjourney cases', 'Kling cases', 'Seedance cases', 'GPT Image cases', 'AI image cases', 'AI video cases', 'AI programming UI cases', 'AI copywriting cases', 'viral prompts', 'recreate this effect', 'prompt for this effect', 'AI case', 'viral AI examples', 'AI prompt examples', 'how was this AI image/video made', 'find me a prompt for X', or any other AI creation case/prompt query. It should also be triggered even if users only say 'what interesting AI cases are there', 'give me a prompt I can copy', 'what AI images are trending lately'. The Skill directly pulls real case data (including complete Prompt, stability score, cost band) via curl from a public REST API, no API Key required. **Err on the side of over-triggering**—if you make up a case or Prompt based on training data when users ask for AI creation cases, you're providing fake cases and prompts which are harmful to users.