「clo」の検索結果

Sub-skill de agent-ready-cloudflare: Implement Content Signals

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement Agent Skills Discovery Index

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement OAuth Protected Resource Metadata

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement WebMCP

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement robots.txt

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement Markdown Content Negotiation

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement OAuth/OIDC Discovery

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement x402 Payment Protocol

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement sitemap.xml

日本語の概要は準備中です。原文の説明を表示しています。

Sub-skill de agent-ready-cloudflare: Implement Link Response Headers

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used when the user asks about "code complexity", "cyclomatic complexity", "cognitive complexity", "code metrics", "maintainability index", "code coverage", or when measuring code quality quantitatively. Provides metrics thresholds and measurement techniques.

日本語の概要は準備中です。原文の説明を表示しています。

Scrape web pages using Scrapling with anti-bot bypass (like Cloudflare Turnstile), stealth headless browsing, spiders framework, adaptive scraping, and JavaScript rendering. This skill should be used when asked to scrape, crawl, or extract data from websites; web_fetch fails; the site has anti-bot protections; write Python code to scrape/crawl; write spiders.

日本語の概要は準備中です。原文の説明を表示しています。

Download GitHub repos as clean source code (no .git history) to WORKDIR. Use when cloning repos for analysis or modification. Not for monorepos.

日本語の概要は準備中です。原文の説明を表示しています。

Humanize AI-sounding writing and remove common AI-generated writing tells while preserving meaning, audience, and brand voice. Use when editing text to sound more natural, less generic, less promotional, less formulaic, or closer to the user's own writing. Triggers: humanize this, make this less AI, make this sound human, remove AI writing patterns, rewrite in my voice, make this more natural, de-AI this, make this less ChatGPT, fix robotic writing, improve authenticity, reduce generic AI tone.

日本語の概要は準備中です。原文の説明を表示しています。

ESPHome device configuration, firmware, and IoT product development. Covers ESP32, ESP32-S3, ESP32-C3, ESP32-C6, ESP32-H2, ESP32-P4, ESP8266, RP2040, RP2350, nRF52, LibreTiny, Shelly, Sonoff, Tuya, BLE proxy, Matter firmware, Thread, Zigbee, GPIO, sensor YAML, LVGL displays, LED strips, voice assistant hardware, device flashing, Arduino conversion, alarm_control_panel, lock, valve, media_player, microphone, speaker, audio DAC, event entities, datetime entities, Z-Wave proxy, MIPI DSI displays, and DLMS smart meters. Also covers designing new ESPHome-based products: hardware selection, component sourcing, PCB design (KiCad), enclosures, 3D printing, CE/FCC certification, BOM optimization, and manufacturing from prototype to production scale.

日本語の概要は準備中です。原文の説明を表示しています。

Reference guide for connecting popular APIs to Home Assistant via Node-RED, YAML, or custom integrations. Covers authentication, endpoints, and complete working examples for: energy APIs (Tibber, Nordpool), weather (SMHI, OpenWeatherMap, yr.no), transport (SL, Trafikverket, Resrobot), smart home clouds (Shelly, Tuya, Philips Hue, IKEA), and global APIs (OpenAI, Spotify, Google Calendar, Telegram, GitHub). Use this skill whenever the user mentions a specific external service, API, or data source they want to connect to Home Assistant - even if they don't say "API".

日本語の概要は準備中です。原文の説明を表示しています。

Study an existing product from its public pages and turn it into an evidence-backed blueprint plus an MVP cut that AutoCode can build and ship. Use this whenever the user wants something "like X", "similar to X", "my own version of X", "a clone of X", names a competitor they admire, or pastes a product URL and asks to build it — even when they never say "research" or "analyze". Public sources only (official site, docs, pricing, changelog, public repos, app-store listings, public reviews); no logins, captures, decompiling, or copying of code, copy, images or brand.

日本語の概要は準備中です。原文の説明を表示しています。

Unified image-generation engine for the product-shots ecosystem. Dispatches to the right model family (OpenAI gpt-image-2 / Gemini gemini-3-pro-image-preview Nano Banana Pro) with one parameterised script for text-to-image and image-to-image. Primary backend: OmniMaaS / Cloubic gateway (https://api.omnimaas.com/v1); also supports any OpenAI-SDK-compatible gateway via fallback env vars. Auto-resizes oversized reference images to prevent edge-proxy timeouts. Use when the user says "generate an image", "make a picture", "create a visual", "render this", "edit this image", "做一张图", "生成图片", "改这张图" — or when invoked as the image-generation backend by another product-shots skill (main-image / detail-page / ad-creative / social-post / multi-angle). NOT a creative-direction skill: takes a prompt + optional reference images, returns a file path.

日本語の概要は準備中です。原文の説明を表示しています。

The end-to-end procedure for one trade on the HyperGrok desk - from an idea to a reviewed, journaled result - with the ticket format, who owns each stage, and what "done" looks like. Use whenever the user wants to open, adjust or close a position, or whenever any Bot is about to touch the exchange write path.

日本語の概要は準備中です。原文の説明を表示しています。

The Trade Reviewer's procedure for journaling desk activity and reviewing trades from the exchange record - process graded separately from outcome, execution costs measured, one repeatable finding per review, plus the weekly desk review. Use after any send, when a trade closes, on the weekly routine, or when the user asks "how did that go".

日本語の概要は準備中です。原文の説明を表示しています。

Read a Hyperliquid account from the desk computer - positions and margin, spot balances, open orders including trigger details, fills, funding paid, ledger updates, order status by oid or cloid, historical orders, portfolio history, fee tier and rate-limit budget - with curl and Python SDK examples. Read-only, needs only the account address. Use for sizing inputs, book checks, reconciliation and reviews.

日本語の概要は準備中です。原文の説明を表示しています。

The Execution Trader's procedure for turning an approved ticket into one Hyperliquid action and reconciling it - the pre-send checklist, order construction rules, single-send discipline, unknown-result handling and the execution report. Use before and after every send, cancel, modify, leverage change or close.

日本語の概要は準備中です。原文の説明を表示しています。

Place, cancel and modify Hyperliquid orders correctly from the desk computer - limit and IOC (market-style) orders, take-profit and stop-loss trigger orders with grouping, client order ids, reduce-only, batch actions, price and size rounding, and how to read every response status. Write path - Execution Trader only, on an approved ticket. Use for any order action and for reconciling by cloid.

日本語の概要は準備中です。原文の説明を表示しています。

Welcome and set up a new Claude for Financial Advisors user. Gets to know the advisor's RIA, learns their day-to-day pain points and tech stack, walks them through connecting their tools, explains the plugin and how skills work, runs a live pre-meeting demo, shows them how to customize skills, and closes with a personalized recommendation for which skill to try next. Use when the advisor is getting started or says any of: "onboarding," "/onboarding," "get started," "help me get started," "set up claude for financial advisors," "claude for financial advisors setup," "what can this plugin do," "I'm new to this," "show me around," or is in their first session with the plugin.

日本語の概要は準備中です。原文の説明を表示しています。