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概要と使いどころ
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
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。
Design a professional logo with full branding package — primary logo, variations (dark/light/icon-only), color palette, and real-world application mockups.
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。
Native Rust browser automation CLI for AI agents. Use when the user needs to interact with websites — navigating pages, filling forms, clicking buttons, taking screenshots, sharing a live browser view, narrating browser actions, extracting structured data, running assertions, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "show me the browser", "share the screen", "pause the browser", "step through this", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", "visual regression test", "check for prompt injection", or any task requiring programmatic web interaction.
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。
Audit a website against the Forter Agentic Readiness Guide. Loads the 25 weighted rubrics in `audit/`, probes the target site (and optional source code), scores each guideline Pass/Partial/Fail/N/A with sub-check granularity, and produces a prioritized fix report. Use when a user asks "score my site against the agentic readiness guide", "audit https://… for agent readiness", or "what do I need to fix to be agent-ready".
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。
Trigger this skill when the user wants to train, fine-tune, or adapt Gemma models (e.g. SFT, DPO, RLHF, Reward Modeling) on local hardware. Covers TRL, Unsloth, dataset preparation, validation, and GGUF/LiteRT conversion.
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。
A luxury-automotive brand whose marketing surfaces read as cinematic editorial. The base canvas is **near-black** (`#181818`) holding pure white display type; white-canvas bands appear only inside specific editorial contexts (preowned listings, pricing tables). The single brand voltage is **Rosso Corsa** (`#da291c`) — the iconic Ferrari racing red — used scarcely on primary CTAs, the Cavallino mark, and Formula 1 race-position highlights. Type runs **FerrariSans** at modest weights (display 500, body 400) — never bombastic. Spacing follows an explicit 8px token ladder (`xxxs` 4px through `super` 128px); generous editorial pacing throughout. The brand's strongest visual signature is the **full-bleed cinematic hero photograph** that fills the viewport top with car photography, model details, or trackside livery — followed by a tighter editorial body layout below.
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。
Create a comprehensive brand design guide — color palette, typography pairings, UI component previews, and visual identity rules with example mockups.
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。
Native agent-to-agent language for compact multi-agent messaging. A shared tongue agents speak directly, not a translation layer. 340+ atoms across 7 domains; 3x smaller than natural language.
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。
Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.
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。
Continuous self-improvement system for Hermes Agent. Analyzes your past sessions to find recurring failures and skill gaps, then automatically creates or patches skills and runs self-evolution to fix them. Set it to run overnight and wake up to a better agent. Use /dojo to start.
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。
A terminal-native marketing system rendered entirely in Berkeley Mono — every word on the page, from the hero headline down to the footer fine print, is monospaced. The page itself reads like a manpage or a static-site README: warm cream canvas (`#fdfcfc`), nearly-black ink (`#201d1d`), 4px-radius rectangles for the few interactive elements, and bracketed `[+]`/`[-]` ASCII markers used as bullets. The brand's only "visual moment" is a single dark hero card that mocks up the OpenCode TUI itself — black background, monospaced terminal output, ASCII pipe characters, and a wordmark rendered as block-pixel ASCII. Every section sits as a hairline-bordered text block on the cream canvas with no shadows, no gradients, no decorative imagery, and no non-monospaced character anywhere in the system.
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。
SurrealDB MCP for AI agents: built-in server (SurrealDB 3.1+ `surreal mcp`) and standalone surrealmcp (surrealdb/surrealmcp v0.4.0). Part of the surreal-skills collection.
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。
Imported skill server from langchain
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。
Manage persistent coding sessions across Claude Code, Codex, Antigravity (agy), Cursor, and OpenCode engines. Use when orchestrating multi-engine coding agents, starting/sending/stopping sessions, running multi-agent council collaborations, cross-session messaging, ultraplan deep planning, ultrareview parallel code review, autoloop autonomous workspace iteration, ultraapp building deployable web apps from a structured Q&A interview, switching models/tools at runtime, exposing the orchestrator's 69 tools as an MCP server to Hermes Agent / Claude Desktop / Cursor / Cline / Continue / Zed / Windsurf / Goose, or running as an Agent Client Protocol (ACP) agent that Zed / JetBrains / Neovim / Emacs / VS Code / dsh can drive directly. Triggers on "start a session", "send to session", "run council", "ultraplan", "ultrareview", "autoloop", "ultraapp", "Forge tab", "build a web app", "one-click app", "AppSpec", "autonomous iteration", "iterate until goal", "deep paper review", "auto research", "switch model", "multi-agent", "coding session", "session inbox", "cursor agent", "opencode", "mcp server", "clawo-mcp", "hermes mcp", "model context protocol", "ultracode", "dynamic workflow", "fanout", "fan-out", "best-of-N", "steer turn", "interrupt turn", "fork thread", "rollback turns", "acp", "agent client protocol", "clawo acp", "zed agent", "jetbrains agent", "external agent", "dsh subagent", "deepseek harness".
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。
Generate a cohesive brand visual kit — logo concept, color palette moodboard, and typography pairing suggestions.
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。
Automated sequencing quality control and advanced visualization wrapping FastQC, MultiQC, and custom chart generation. Exposes an MCP stdio server for live AI integration alongside a ClawBio CLI runner.
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。
MiniMax presents itself as a premium AI infrastructure brand through a striking duality — bold black-pill CTAs and stark white canvas for marketing, paired with vibrant gradient product cards (orange-red, magenta-pink, purple, blue) that turn each model release into a distinctive visual identity. The system uses DM Sans across all surfaces, employs an oversized 80px hero display, anchors major actions in deep near-black pills, and layers content density via a 3-column documentation grid with sidebar nav, prose body, and TOC. Coverage spans the marketing homepage, model showcase pages, developer documentation, and platform pricing surfaces.
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。
Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword. Postgres + pgvector with auto-tagging.
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。
Generates a step-by-step construction plan from a one-line objective, where each step is self-contained and executable by a fresh agent in a new session.
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。
Agent 基建：把任意 skill 或 skill 集合目录桥接到 Claude Code（~/.claude/skills）、Codex（~/.codex/skills）、通用 Agents（~/.agents/skills，豆包 Mac App / Trae Solo / Codex 可读取）和 Grok（~/.grok/skills）。支持 dbskill 仓库内 skill，也支持外部 skill 绝对路径。Claude / Codex / 通用 Agents 使用软链，Grok 生成带 user_invocable: true 的薄 bridge。支持按 skill 名称、相对路径、绝对路径、skills 目录批量桥接，也支持拆桥和查看桥接状态。 触发方式：/dbs-bridge、/bridge、「桥接这个 skill」「桥接整个 skills 目录」「把这个 skill 接到 Claude Code、Codex、豆包和 Grok」「让多个 Agent 都能调用这个 skill」「取消桥接」「查看桥接状态」 Bridge any skill folder or directory of skill folders to Claude Code, Codex, generic Agents (~/.agents/skills), and Grok using symlinks plus Grok bridge files. Supports dbskill skills and external skill directories. Use when the user wants one or many skills callable from multiple agents, or wants to unlink/check bridge status. Trigger: /dbs-bridge, /bridge, "bridge this skill", "bridge this skills directory", "make this skill available to Claude Code, Codex, Doubao, and Grok", "unlink this skill", "check bridge status"
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。
查询 AI HOT 的中文 AI 资讯、精选、当前热点和日报。当用户问今天或最近的 AI 新闻、AI 圈动态、大模型或产品发布、OpenAI/Anthropic/Google 最近发布、AI 论文、AI 日报、AI HOT 精选、当前最热事件时使用。必须通过 aihot.virxact.com 的公开只读 API 获取当前数据，不凭训练记忆回答新闻。不需要 API Key 或 MCP server。
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。
个人 IP 图解创作器。用你的 IP 形象，生成专属内容图解。用于把用户授权提供的照片、主页截图、简介、账号资料或角色档案转成稳定的极简手绘图解角色，并继续生成长文配图、图文号知识卡、手机海报、方法拆解图、分镜故事图、IP 演讲 PPT、直播分享课件和全图化手绘 PPT 页面等内容视觉。它强调 IP 主角 + 执行 Agent 的知识图解系统：用户 IP 做主讲、拆解、批注和调度，执行 Agent 做搬卡片、反馈、试错、标记风险和递交结果。用户想做个人 IP 形象、用自己的形象做知识图、图文号知识卡、文章配图、课程图解、内容海报、方法拆解图、IP 演讲 PPT、直播分享课件，或上传照片/主页截图/简介希望做内容视觉时，使用本 Skill。
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。
通过 Gemini 官网（gemini.google.com）执行生图、对话等操作。用户提到"生图/画图/绘图/nano banana/nanobanana/生成图片"等关键词时触发。操作方式分三级优先级：首选 MCP 工具 → 次选 Skill 脚本 → 最次连接 Skill 浏览器手动操作（需用户授权）。禁止自行启动外部浏览器访问 Gemini。
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。
Repo-local workflow skill for large coding tasks. Initializes .agent/tasks/TASK_ID artifacts, installs project-scoped Codex and Claude subagents, updates AGENTS.md plus the repo's Claude guide file with the workflow, and runs a spec-freeze → build → evidence → verify → fix loop with fresh-session verification.
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。