研究与知识

研究、检索、摘要和知识工作

1080 个 Skills 可用

Skills 列表

flows-app-brief

flows-app-brief

6research-knowledge

Certification coach for Flows apps. Captures the app name, value case, persona, problem, and design intent through a structured conversation and writes App-Brief.md at the repo root. This is the FIRST step of the Flows app certification flow — run it immediately after `npx @cognite/cli apps create`, before building. Use when the user asks to start an app brief, run the certification coach, fill out the app brief, or run flows-app-brief.

cognitedata avatarcognitedata
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dm-limits-and-best-practices

dm-limits-and-best-practices

5research-knowledge

Reference skill for CDF Data Modeling API best practices. Covers concurrency limits (avoiding 429s), pagination patterns for instances.list and instances.query, batching write operations, search vs filter guidance, and the QueuedTaskRunner (Semaphore) utility for controlling concurrent requests. Triggers: DMS limits, 429 error, rate limit, pagination, cursor, nextCursor, batching, semaphore, QueuedTaskRunner, cdfTaskRunner, instances.search, instances.list, instances.query, instances.upsert, concurrency, deadlock.

cognitedata avatarcognitedata
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write-xiaohongshu

write-xiaohongshu

4research-knowledge

研究小红书(XHS)高赞图文帖子,分析标题/内容/评论中的模式和情感共鸣点,通过 Firecrawl MCP 补充背景知识,然后撰写并发布一篇小红书笔记。强制限制:标题不超过 20 个字符,正文不超过 1000 个字符。当用户要求写小红书笔记/种草文案/爆款标题/发布到小红书时使用。

adjfks avataradjfks
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registry

registry

4research-knowledge

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

frames-engineering avatarframes-engineering
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paper-writing

paper-writing

4research-knowledge

Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.

vishalsachdev avatarvishalsachdev
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maintaining-agent-context

maintaining-agent-context

4research-knowledge

You MUST use this when auditing, improving, restructuring, or maintaining a repository's agent instruction and context architecture - AGENTS.md, CLAUDE.md and its variants, .claude/rules/, the instruction layer of SKILL.md files, or docs linked from them - including reducing always-loaded context cost, finding stale, duplicated, or conflicting instructions, and keeping Claude Code or Codex project memory aligned with the codebase. Not for documentation written for human readers, and not for authoring or revising a skill itself.

sentimony avatarsentimony
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recoup-platform-api-access

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 avatarrecoupable
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recoup-roster-manage-artist

recoup-roster-manage-artist

3research-knowledge

Work inside one artist's folder — read and update their context, brand, songs, and releases. Use for "organize [artist]'s files", "update [artist]'s brand/context", "what's in [artist]'s workspace", or any task about a named artist's files. To list your whole roster use recoup-roster-list-artists; for research/metrics on an artist use recoup-research-artist-overview.

recoupable avatarrecoupable
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recoup-roster-add-artist

recoup-roster-add-artist

3research-knowledge

Onboard a brand-new artist to your roster and enrich them — the 8-call chain (create → Spotify match → research → catalog → socials → knowledge base) that sets up the artist and their workspace folder. Use for "create/add/onboard an artist", "set up [artist]", "we just signed [artist]", or "new signing". To see your roster use recoup-roster-list-artists; to work inside an existing artist's files use recoup-roster-manage-artist.

recoupable avatarrecoupable
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google-search-browser-use

google-search-browser-use

3research-knowledge

Use browser-use to perform Google searches, open results, and extract key information from live pages. Use when the user asks to "search Google", "look this up on Google", or needs current web results via a real browser session (often to avoid bot blocks).

grasseed avatargrasseed
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reddit-research

reddit-research

3research-knowledge

Do market research, user research, and product validation on Reddit with semantic search across 50K+ subreddits, 20M+ posts, and 40M+ comments via reddapi.dev - search by meaning, not keywords, no Reddit OAuth or app registration needed. Use when the user wants to research what people say on Reddit, find user pain points and complaints, validate a product or niche idea, do competitor and market research, track subreddit trends over a date range, or discover which subreddits discuss a topic. Also use when the user mentions 'Reddit research', 'Reddit 调研', 'search Reddit', 'subreddit discovery', 'niche validation', 'pain points', 'user complaints', or 'Reddit trends'. Requires REDDAPI_API_KEY. For B2B lead scoring, see reddit-leads; for a bare API reference, see reddit-search-api.

lignertys avatarlignertys
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reddit-search-api

reddit-search-api

3research-knowledge

Pure API reference for reddapi.dev - authentication, all endpoints (vector search, semantic search, trends, subreddit lookup), request parameters, response schemas, and error codes, with no research-workflow framing. Use when the user wants raw endpoint documentation, is debugging a reddapi.dev integration, needs exact request/response field names, or asks for 'reddapi API reference', 'reddapi.dev endpoints', or 'reddapi error codes'. For guided research workflows and query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads.

lignertys avatarlignertys
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pudl

pudl

3research-knowledge

Explore and understand PUDL energy data: discover which tables exist, look up column meanings and usage warnings, and load Parquet files from S3 or a local directory. No PUDL Python package required. Use this skill whenever a user asks what PUDL data contains, wants to understand a specific table or column, asks about data quality or limitations, needs help loading data into a notebook or script, or wants to know which table covers a topic like electricity generation, utility financials, fuel costs, power plant locations, emissions, capacity factors, FERC financial data, or EIA survey data. Also use when the user mentions PUDL, Catalyst Cooperative energy data, or any of the specific data sources PUDL ingests (EIA-860, EIA-861, EIA-923, FERC Form 1, FERC Form 714, FERC EQR, EPA CEMS, EPA CAMD, etc.).

catalyst-cooperative avatarcatalyst-cooperative
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dashfix

dashfix

3research-knowledge

You MUST use this when writing or editing prose anywhere in a project (docs, READMEs, comments, commit messages, UI copy) and when asked to audit, score, or clean up dash usage - it enforces the plain hyphen over typographic dashes in English text.

sentimony avatarsentimony
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tigris-image-optimization

tigris-image-optimization

3research-knowledge

Use when resizing images, generating thumbnails, serving responsive images, or optimizing image delivery with Tigris — covers Next.js, Remix, Rails, Django, Laravel, Express

tigrisdata avatartigrisdata
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nano-banana-2

nano-banana-2

2research-knowledge

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 avatardoany-ai
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image-edit

image-edit

2research-knowledge

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 avatardoany-ai
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image-edit

image-edit

2research-knowledge

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)。捆绑每个模型文档化的提示模式,使技能获得更精准的编辑,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`。触发词包括“image edit”、“edit image”、“image-to-image”、“i2i”、“swap background”、“remove object”、“rewrite headline”或任何明确的单张或批量图像编辑请求。

runcomfy-com avatarruncomfy-com
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nano-banana-2

nano-banana-2

2research-knowledge

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 avatarruncomfy-com
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novel-architect

novel-architect

2research-knowledge

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 avatarjunaid18183
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reddapi

reddapi

2research-knowledge

The original reddapi.dev Reddit search skill (vector search, semantic search, trends, subreddit discovery), no Reddit OAuth or app registration needed. This is the same engine now packaged as reddit-research with added market-research playbooks and a fuller pitch on semantic vs keyword search; reddapi is kept live under its original name for existing installs and works standalone. Use when the user says 'reddapi' by name, or wants a minimal drop-in Reddit search skill without the extra research-workflow guidance. For the expanded research-oriented version with query playbooks, see reddit-research. For B2B lead scoring, see reddit-leads. For a bare API reference, see reddit-search-api.

lignertys avatarlignertys
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open-knowledge

open-knowledge

2research-knowledge

Authoritative agent-runtime contract for working inside an OpenKnowledge project — a markdown-CRDT knowledge base exposed over MCP. Use whenever reading, listing, searching, editing, or linting any `.md` or `.mdx` file in the project, and before any `mcp__open-knowledge__*` tool call (`exec`, `search`, `write`, `edit`, `lint`, and the rest). Installed by `ok init`, so its presence means this is an OpenKnowledge project and it governs every markdown file here. Covers the read/write tool surface, grounding and linking rules, folder/template conventions, the live browser preview, and the rule that OK's MCP tools — never native file tools — handle in-scope markdown.

inkeep avatarinkeep
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domain-context

domain-context

2research-knowledge

Progressive Domain Crystallization (PDC) — a skill for building and maintaining a living domain knowledge base for any custom business application. Use this skill whenever the user is developing a business application and wants the AI to accumulate understanding of internal terminology, entities, relationships, and business rules over time — especially when that knowledge is not fully defined upfront and grows across sessions. Trigger on any of: "remember how our system works", "learn our domain", "track business entities", "build domain knowledge", "understand our terminology", "grow AI context over time", "domain model", "business rules documentation", or whenever a user says the AI doesn't understand their business-specific language or data model. Also use at the start of any session where a .tasks/domain.md file exists in the project — always read it before doing any work.

customware-ai avatarcustomware-ai
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fusion-developer-app

fusion-developer-app

2research-knowledge

Guides feature development in Fusion Framework React apps, including app-scoped framework research, test authoring, and test-time mocking needed to choose and verify the right integration patterns. USE FOR: building features, components, pages, hooks, services, API integrations, module configuration, and their tests. DO NOT USE FOR: issue authoring, skill authoring, CI/CD configuration, backend service changes, or general Fusion documentation unrelated to app implementation.

equinor avatarequinor
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