研究与知识

viral-short-form-ideas

13research-knowledge

批量生成短视频创意，彻底解决空白页问题。当用户说没灵感、要20个TikTok/Reels/YouTube Shorts创意、需要内容头脑风暴、想建立内容支柱系统或内容矩阵、想把一个创意变成5个角度、问这周发什么、或者想要一个真正的创意生成工作流而不是盯着备忘录时使用。运行高产创作者实际使用的系统：支柱、挖掘（评论、Reddit、搜索自动补全、竞争对手异常值）、复用、常青与趋势平衡。基于模式的指导，符合短视频创意的常见运作方式；目标是永不枯竭，不保证爆红。

vyralcontent

colosseum-copilot

11research-knowledge

Research Solana/crypto startup opportunities using builder project history, crypto archives, investor theses, and market signals. Answers questions conversationally by default; runs the full 8-step deep research workflow on explicit opt-in ("vet this idea", "deep dive").

colosseumorg

write-xiaohongshu

4research-knowledge

Research top-performing Xiaohongshu (小红书 / XHS) image posts, analyze titles/content/comments for patterns and emotional resonance, enrich background via Firecrawl MCP, then write and publish an XHS note via Xiaohongshu MCP. Enforce hard limits: title <= 20 characters, body <= 1000 characters. Use when the user asks for 小红书笔记/种草文案/爆款标题/发布到小红书.

adjfks

registry

4research-knowledge

Pay-per-call API gateway for AI agents. 10 services available via x402 — no API keys, no subscriptions.

frames-engineering

recoup-platform-api-access

3research-knowledge

Call the Recoup API and external connectors directly — fetch any platform resource (artists, socials, organizations, research, documents) and run connector actions (Google Docs/Sheets/Drive edits, Gmail, TikTok, Instagram). Use whenever you need raw Recoup data, a platform resource, to write curl against api.recoupable.dev, or to read/write something outside Recoup like a Google Doc URL or a spreadsheet. The plumbing every other skill rides on. To onboard or operate on an artist use the recoup-roster-* skills; for first-run connection use recoup-platform-connect-account.

recoupable

nano-banana-2

使用 RunComfy 上的 Google Nano Banana 2（Gemini 系列闪级文生图模型）生成图像——技能内置了该模型经过验证的提示模式，相比直接使用同一模型进行简单提示，可获得更精准的输出。文档介绍了 Nano Banana 2 的优势（快速迭代、图像内文字渲染、可预测构图、可选的网络上下文）、分辨率等级定价、安全容忍度调节，以及何时改用 Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream。通过本地 RunComfy CLI 调用 `runcomfy run google/nano-banana-2/text-to-image`。触发词包括“nano banana”、“nano-banana-2”、“nano banana 2”、“google image gen”、“gemini image”或任何明确要求使用此模型生成图像的请求。

doany-ai

image-edit

在 RunComfy 上编辑图像——此技能是一个智能路由器，根据用户意图匹配 RunComfy 目录中的正确编辑模型。选择 Nano Banana Edit（批量最多 20 张，默认保持身份）、OpenAI GPT Image 2 Edit（多语言图像内文本重写、多参考合成、布局精确）、Flux Kontext Pro（单参考高保真局部编辑）或 Z-Image Turbo Inpaint（遮罩驱动的精确区域编辑）。捆绑每个模型记录的提示模式，使技能在不浪费迭代于错误模型的情况下获得更清晰的编辑。通过本地 RunComfy CLI 调用 `runcomfy run <vendor>/<model>/edit`。触发词包括“图像编辑”、“编辑图像”、“图像到图像”、“i2i”、“替换背景”、“移除对象”、“重写标题”或任何明确要求编辑单张或批量图像的请求。

doany-ai

image-edit

在 RunComfy 上编辑图像——此技能是一个智能路由器，根据用户意图匹配 RunComfy 目录中的正确编辑模型。选择 Nano Banana Edit（批量最多 20 张，默认保持身份）、OpenAI GPT Image 2 Edit（多语言图像内文本重写、多参考合成、布局精确）、Flux Kontext Pro（单参考高保真局部编辑）或 Z-Image Turbo Inpaint（掩码驱动的精确区域编辑）。捆绑每个模型记录的提示模式，使技能获得更清晰的编辑效果，而无需在错误模型上浪费迭代。通过本地 RunComfy CLI 调用 `runcomfy run <vendor>/<model>/edit`。触发条件包括“图像编辑”、“编辑图像”、“图像到图像”、“i2i”、“交换背景”、“移除对象”、“重写标题”或任何明确的单张或批量图像编辑请求。

runcomfy-com

nano-banana-2

使用 RunComfy 上的 Google Nano Banana 2（Gemini 系列闪级文生图模型）生成图像——该技能内置了模型文档中的提示模式，因此输出比直接使用同一模型进行简单提示更清晰。文档介绍了 Nano Banana 2 的优势（快速迭代、图像内文字渲染、可预测构图、可选的网络上下文）、分辨率层级定价、安全容忍度调节，以及何时改用 Nano Banana Pro / GPT Image 2 / Flux 2 / Seedream。通过本地 RunComfy CLI 调用 `runcomfy run google/nano-banana-2/text-to-image`。触发词包括“nano banana”、“nano-banana-2”、“nano banana 2”、“google image gen”、“gemini image”或任何明确要求使用此模型生成图像的请求。

runcomfy-com

novel-architect

Stepwise scaffolding, brainstorming, and draft-generation for literary novels using interactive interviews. TRIGGERS - Use this skill when user says: - "create a novel project" / "start a new novel" - "help me brainstorm my novel" / "plan my story" - "/novel-architect [language] novel named [name] [core idea]" - "set up novel structure" / "initialize my book project" - Any request about creating fiction writing projects or story planning Creates full novel directory with foundation files, character sheets, and chapter scaffolding. Uses gentle, reflective interview process to discover emotional truth before structure.

junaid18183

paperclip

Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.

getpaperclipai

para-memory-files

基于文件的记忆系统，采用Tiago Forte的PARA方法。每当需要跨会话存储、检索、更新或组织知识时，使用此技能。涵盖三个记忆层：（1）PARA文件夹中的知识图谱，包含原子化YAML事实；（2）作为原始时间线的每日笔记；（3）关于用户模式的隐性知识。还处理计划文件、记忆衰减、每周综合以及通过qmd进行回忆。在任何记忆操作时触发：保存事实、撰写每日笔记、创建实体、运行每周综合、回忆过去上下文或管理计划。

getpaperclipai

paperclip-board

Manage a Paperclip company as a board member via chat. Covers onboarding (company creation, CEO setup, hiring plans), agent management, approvals, task monitoring, cost oversight, and work product review. Use this skill whenever the user wants to interact with their Paperclip control plane. Do NOT use for installing or bootstrapping the Paperclip server itself — use the `paperclip` skill's `references/setup-installation.md` instead.

getpaperclipai

indexion-documentation

Documentation analysis — assess coverage, detect code-to-doc drift with plan reconcile, visualize dependencies with doc graph. Answers "what needs docs?" and "are docs still accurate?"

indexion-segment

Split text into contextual chunks for RAG/embedding pipelines. Document segmentation and section extraction using window, tfidf, punctuation, or hybrid strategies chosen by intent.

indexion-wiki

Project wiki lifecycle — create pages, track source changes with ingest, update stale pages, lint structural integrity, detect code-to-doc drift with reconcile, and manage search indexes. A runbook for navigating and maintaining the wiki as an agent.

indexion-identity

Detect and review name/content drift in code using `indexion identity audit`, then plan verified renames, moves, folder changes, or splits.