根据主题、标题、人像或产品素材和可选背景,使用 Codex 内置 image_gen 制作 3:4 小红书封面。支持提炼封面标题、原创风格推荐、字体与配色选择、主体保真、背景合成、装饰说明,以及单张或多张变体;不需要 API Key。用户提出“做小红书封面”“给笔记配首图”“参考这张图做封面”“把人物放进封面”“做几版封面”时使用。
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。
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概要と使いどころ
根据主题、标题、人像或产品素材和可选背景,使用 Codex 内置 image_gen 制作 3:4 小红书封面。支持提炼封面标题、原创风格推荐、字体与配色选择、主体保真、背景合成、装饰说明,以及单张或多张变体;不需要 API Key。用户提出“做小红书封面”“给笔记配首图”“参考这张图做封面”“把人物放进封面”“做几版封面”时使用。
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。
小红书账号整体诊断与竞品对标。对一个或多个小红书账号做量化体检——定位清晰度、内容垂直度、封面统一性、标题钩子率、更新节奏、互动率、爆款率、粉丝转化效率八个维度打分,定位卡点并给出可执行改动。当用户说"账号诊断""帮我看看我的号""我的号没起色/不涨粉/流量下滑""主页体检""账号定位有问题吗""竞品账号分析""对标账号拆解""这个博主为什么能起来""帮我和竞品比一比",或直接贴出小红书主页链接/主页截图要求分析时触发。支持有数据源(GUAIKEI_API_TOKEN / SOCIALDATAX_API_KEY)的量化分析和无数据源的截图定性诊断两条路径。只做分析参谋,不做发布、不刷互动、不批量起号。
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。
文章转手绘图解 B-roll——输入公众号文章(正文或链接),优先抽取原文配图,把文章逻辑做成一支手绘线稿风格的动态图解视频,并调用真实视频模型(火山引擎 Seedance 2.0 或 libtv Agent)逐帧生成「手绘生长」动效,拼成成片。白底、黑色单线图标、单一蓝色强调、细曲线箭头,默认 4:3,垫在口播下方。当用户说「文章转图解视频」「手绘图解 B-roll」「白板动图」「把这篇文章做成动态图解」「Seedance 出 B-roll」时触发。
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。
从 YouTube、小宇宙、B站、抖音和小红书链接提取字幕或逐字稿;优先读取平台字幕,无字幕时自动提取音频并调用可用 ASR,输出 Markdown 与 SRT。用户发送这些平台链接、要求提取字幕/文案/逐字稿/视频转文字,或在字幕完成后希望下载原视频时使用。字幕成功后必须询问用户是否下载原视频;小宇宙对应下载原音频。
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。
小红书热点搜集与选题判断。按关键词/赛道拉取近期高互动笔记,输出热点表格、趋势判断和可直接开写的选题建议。当用户说"小红书热点""小红书最近火什么""查一下 XX 赛道的爆款""小红书选题""找小红书素材""这个词在小红书热不热""小红书热榜/热门笔记/爆款笔记""帮我看看小红书数据"时触发。也适用于用户报出一个赛道词(如"减脂餐""通勤穿搭""AI 工具")并问"能不能写"的场景。多数据源自动降级:红狐 API / socialdatax CLI / 怪壳 CLI,均未配置时走 WebSearch 手动兜底。
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。
小红书创作总控台。判断用户当前卡在哪一环,路由到对应的专项技能,并把多步骤工作流串起来执行。当用户说"做小红书""帮我运营小红书""小红书从头到尾走一遍""我想开始做小红书""小红书全流程""不知道从哪下手""帮我搞小红书",或同时提出跨多个环节的需求(如"帮我想选题顺便写出来配好图")时触发。单一环节的需求应直接使用对应专项技能,不必经过本技能。
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 工作台迁移。把任意项目整理成 Claude Code / Codex / Grok 三端一致、可长期维护的 Agent 工作台:审计规则文件、识别真源、统一命名并生成 bridge。 触发方式:/dbs-agent-migration、/agent迁移、「迁移到 Codex」「迁移到 Claude Code」「迁移到 Grok」「统一 AGENTS.md」「整理 skill bridge」「我的 Agent 工作台很乱」「帮我统一 Claude 和 Codex 和 Grok」 Agent workspace migration. Turn any project into a maintainable Claude Code / Codex / Grok three-host workspace by auditing rule files, establishing source-of-truth skills, normalizing names, and generating bridges. Trigger: /dbs-agent-migration, /agent-migration, "migrate to Codex", "migrate to Claude Code", "migrate to Grok", "fix AGENTS.md", "organize skill bridges"
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 old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.
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。
Build respawn-safe Roblox character systems around Players, CharacterAdded/CharacterRemoving, Humanoid, HumanoidRootPart, Animator, R6/R15 rigs, movement, animations and markers, death, tools, accessories, ownership, and custom characters. Use when character scripts break after respawn, cache stale Humanoids, control movement or velocity, load AnimationTracks, handle death, equip Tools, modify avatars, or support custom player rigs.
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。
Drive structured autoresearch iteration after evo:discover and the baseline commit. Use when the user invokes /evo:optimize or asks to try ideas, try variants, run experiments, use available GPUs, improve the current best/frontier, continue an evo search, or compare candidate changes in an evo workspace. The orchestrator plans and spawns optimization subagents; candidate edits/runs belong to those subagents. Width is set via subagents=N (1 for serial workloads, larger for parallel); the loop's structural value applies at any width.
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。
Diagnoses and safely reclaims macOS disk space: caches, logs, app remnants, large/duplicate files, Docker/OrbStack, Chromium code-sign clones, developer caches. Use when a Mac is low on storage, shows “Caching needs more space”, or before deleting anything to avoid data loss. Not for Windows/Linux or permission issues (use macos-permissions).
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。
Write cold outreach to potential clients that gets replies — specific, useful, and about them — instead of the templated pitch that gets deleted. Use when asked to write a cold email to a prospect, get clients through outreach, cold pitch help, or reach out to potential customers. Produces a researched, personalized message that leads with their problem, a clear low-friction ask, proof you're credible without bragging, a subject line, and a short follow-up sequence — plus who to target and what to avoid so it lands as a helpful note, not spam.
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 the archive layer that keeps current workspaces lean without losing history — what moves, when, to where, findable-by-search, with the project-close ritual that makes archiving automatic instead of aspirational. Use when asked set up an archiving system, our workspace is drowning in old projects, when should things get archived, or make history findable without cluttering today. Produces the archive triggers, the destination structure, the findability rules, and the close-out ritual.
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。
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly_* MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and work the task board. Load it the moment you see any commonly_* tool available.
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。
Quote and dispatch same-day Uber Direct courier deliveries, and check their status. Trigger phrases: uber direct, same-day delivery, dispatch courier, delivery quote.
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。
Find and remove AI slop — the generic, machine-default visual and copy tics of vibe-coded products — from a web project. Use when the user asks to "kill AI slop", "de-slop", "remove the AI look", "make this not look AI-generated", or clean up a landing page / UI / docs that feels templated. Detects and fixes the catalogue of tells: indigo→violet gradients, gradient-clip headlines, the default semantic palette, one-hue status boxes, atmospheric gradients, serif-italic emphasis, highlighted keywords, AI copywriting voice ("not just X — it's Y"), emoji everywhere, glowing status dots, wobbling spinners, colored-left-border callouts, pastel icon tiles, glassmorphism, over-rounding, oversized shadows, borders that die at corners, badge & pill spam, AI-drawn SVG icons, kickers over every heading, flat type hierarchies, invented stat rows, 01/02/03 section markers, cards nested in cards, the default Inter/Space Grotesk look, and more. Works on HTML/CSS, React/Vue/Svelte/Astro, Tailwind, PHP, and Markdown copy.
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。
Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents, manage capacity, and coordinate the Todo to Done flow. Invoked as /agiflow:orchestrate. Uses list_tasks, list_active_tasks_by_org, list_members, update_task, get_work_unit_progress.
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。
Use when optimizing the performance of an existing native scalar expression in the datafusion-comet-spark-expr crate (native/spark-expr/) — casts, string/JSON/array/math kernels that run per-row or per-batch. Covers benchmarking, keeping output bit-identical, and the no-regression gate. Not for adding new expressions (use implement-comet-expression) or wiring upstream functions (use wire-datafusion-function).
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。
Manages Fabric deployment pipelines for ALM promotion across dev, test, and prod stages, including stage creation, workspace assignment, selective forward or backward deploys, operation polling, stage role assignments, and the pipeline and workspace permissions each action requires. For Git sync use git-integration-operations-cli.
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。
Ports existing Databricks notebooks and jobs to Fabric, covering dbutils to notebookutils, secret scopes to Key Vault, DBFS to OneLake, Unity Catalog mapping to schema-enabled Lakehouses, Jobs and Delta Live Tables to Spark Job Definitions and Pipelines, and Photon to the Native Execution Engine. Use whenever Databricks code has to be converted. For Fabric notebook code that is not being migrated, use spark-cli.
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。
Orchestrate Project Osmos for long-running Fabric and OneLake data-engineering outcomes, including task status, messages, follow-ups, cancellation, and deletion. Osmos tasks are remote service tasks, not local background agents. In Fabric portal Copilot, direct interaction is unsupported; point users to GitHub Copilot CLI. Use spark-cli for direct non-Osmos Spark work. Triggers: "Project Osmos", "Project Osmos task status", "check my Osmos task".
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。
Plans and builds end-to-end Fabric data platforms on the Bronze, Silver, and Gold medallion pattern: ingestion to analytics, PySpark and Delta layers, pipeline orchestration, per-layer Spark tuning, Materialized Lake View versus notebook choices for Silver and Gold, and Direct Lake handoff. Use for layered architecture design, planning and recommendations. For questions over an existing Power BI report use fabriciq.
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。
Render a static iOS QWERTY keyboard as inline HTML+CSS sized for the 750-wide 9:16 stage. Includes the 3-suggestion bar, alpha keys, shift/backspace, 123/emoji/space/return row, and the bottom globe+mic strip. No animation logic — slide up/down is the molecule's job (CSS transform on the .keyboard root).
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。
Reads, inspects, and writes Flow Cytometry Standard (FCS) files from conventional, spectral, and mass cytometry (CyTOF), and parses FlowJo/Cytobank/Diva workspaces. Covers FCS 2.0/3.0/3.1/3.2 internals ($PnE linear-vs-log, $DATATYPE, $SPILLOVER vs SPILL vs $COMP, $TIMESTEP), channel/parameter metadata, the silent linearize/truncate defaults, and R (flowCore, flowWorkspace, CytoML) plus Python (FlowKit, readfcs) readers. Use when loading flow or mass cytometry data, mapping detector channels to antibodies, extracting the event matrix, choosing a reader, or bridging FCS to the scanpy/AnnData ecosystem before preprocessing.
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。