AgentHubAgentHub

Create a Deep Research Feishu Doc Skill Install & Guide

SkillClawHub

io.clawhub.henryjing96/feishu-deep-research · v2.0.0

飞书深度研究报告生成器。自动执行深度研究并将结果导入为飞书文档。输入研究主题和云空间文件夹token，自动生成结构化研究报告并上传到飞书云空间。用于投资研究、行业分析、竞品调研、技术调研等需要多步骤信息收集和文档化的场景。

View on ClawHub ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Downloads3.2k
Installs106

Overview

飞书深度研究报告生成器。自动执行深度研究并将结果导入为飞书文档。输入研究主题和云空间文件夹token，自动生成结构化研究报告并上传到飞书云空间。用于投资研究、行业分析、竞品调研、技术调研等需要多步骤信息收集和文档化的场景。 Create a Deep Research Feishu Doc is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

Feishu投资文档研究调研

Use cases

AI knowledge baseChina services

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-09-07
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from clawhub
Verified Clientsopenclaw、Claude Code、Claude Desktop 等
Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Send this prompt to your AI to install the Skill

Recommended
Target client (auto-optimizes prompt):
PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "henryjing96/feishu-deep-research" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai cursor -y

Setup tutorial

  1. Open the Create a Deep Research Feishu Doc page and confirm the source is ClawHub.
  2. Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
  3. Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
  4. Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai cursor -y

One-click API download

# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .cursor/skills/feishu-deep-research

Cursor

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai cursor -y

One-click API download

mkdir -p .cursor/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .cursor/skills/feishu-deep-research

ClawHub CLI, then copy

# 在项目根目录执行 install
clawhub install henryjing96/feishu-deep-research
mkdir -p .cursor/skills/feishu-deep-research
cp -R ./skills/feishu-deep-research/. .cursor/skills/feishu-deep-research/

# 源：./skills/feishu-deep-research/SKILL.md
# 目标：.cursor/skills/feishu-deep-research/SKILL.md

Trae (ByteDance)

  1. Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
  2. Copy and run the command in your project terminal to download SKILL.md
  3. Reload Trae window, then describe your task in AI chat to activate automatically

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai trae -y

One-click API download

mkdir -p .trae/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .trae/skills/feishu-deep-research

User directory

mkdir -p ~/.trae/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.trae/skills/feishu-deep-research

Tongyi Lingma (Alibaba)

  1. Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
  2. Run the command to install SKILL.md
  3. In Lingma Agent mode, prompt your task and the skill will be automatically loaded

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai lingma -y

One-click API download

mkdir -p .lingma/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .lingma/skills/feishu-deep-research

User directory

mkdir -p ~/.lingma/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.lingma/skills/feishu-deep-research

WorkBuddy / CodeBuddy (Tencent)

  1. WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
  2. The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
  3. AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai workbuddy -y

One-click API download

mkdir -p .workbuddy/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .workbuddy/skills/feishu-deep-research

User directory

mkdir -p ~/.workbuddy/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.workbuddy/skills/feishu-deep-research

Claude Code

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai claude-code --global -y

One-click API download

mkdir -p ~/.claude/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.claude/skills/feishu-deep-research

ClawHub CLI, then copy

clawhub install henryjing96/feishu-deep-research
mkdir -p ~/.claude/skills/feishu-deep-research
cp -R ./skills/feishu-deep-research/. ~/.claude/skills/feishu-deep-research/

# 源：./skills/feishu-deep-research/SKILL.md
# 目标：~/.claude/skills/feishu-deep-research/SKILL.md
# https://clawhub.ai/henryjing96/feishu-deep-research

Kimi Code (Moonshot AI)

  1. Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
  2. Run the command to install
  3. In Kimi Code CLI, describe your task to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai kimi -y

One-click API download

mkdir -p .agents/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .agents/skills/feishu-deep-research

User directory

mkdir -p ~/.agents/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.agents/skills/feishu-deep-research

Qwen Code (Alibaba)

  1. Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
  2. Run the command to deploy SKILL.md
  3. Prompt the agent to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai qwen -y

One-click API download

mkdir -p .qwen/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .qwen/skills/feishu-deep-research

User directory

mkdir -p ~/.qwen/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.qwen/skills/feishu-deep-research

Windsurf

  1. Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
  2. Run the install command and refresh Cascade
  3. Cascade will auto-activate the skill based on its description

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai windsurf -y

One-click API download

mkdir -p .windsurf/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .windsurf/skills/feishu-deep-research

User directory

mkdir -p ~/.codeium/windsurf/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.codeium/windsurf/skills/feishu-deep-research

Cline

  1. Cline supports standard .agents/skills/<name>/ structure
  2. Run the command to install the skill
  3. Ask questions in the Cline panel to trigger the skill

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai cline -y

One-click API download

mkdir -p .agents/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d .agents/skills/feishu-deep-research

Cherry Studio

  1. Use this skill as an Assistant system prompt in Cherry Studio
  2. Copy the command to view SKILL.md text
  3. Paste the contents into Cherry Studio Assistant system prompt
# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -p /tmp/feishu-deep-research.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」

VS Code / GitHub Copilot

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai vscode -y

One-click API download

curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
mkdir -p .github/skills/feishu-deep-research
unzip -o /tmp/feishu-deep-research.zip -d .github/skills/feishu-deep-research

OpenAI Codex

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init henryjing96/feishu-deep-research --ai codex --global -y

One-click API download

mkdir -p ~/.codex/skills/feishu-deep-research
curl -sL "https://clawhub.ai/api/v1/download?slug=feishu-deep-research&version=2.0.0" -o /tmp/feishu-deep-research.zip
unzip -o /tmp/feishu-deep-research.zip -d ~/.codex/skills/feishu-deep-research

ClawHub CLI, then copy

clawhub install henryjing96/feishu-deep-research
mkdir -p ~/.codex/skills/feishu-deep-research
cp -R ./skills/feishu-deep-research/. ~/.codex/skills/feishu-deep-research/

# 源：./skills/feishu-deep-research/SKILL.md
# 目标：~/.codex/skills/feishu-deep-research/SKILL.md

OpenClaw — ClawHub CLI

# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install henryjing96/feishu-deep-research

# 安装后 SKILL.md 位于：
#   ./skills/feishu-deep-research/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/feishu-deep-research/）

# 仅查看不安装
clawhub inspect henryjing96/feishu-deep-research

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for Create a Deep Research Feishu Doc

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Create a Deep Research Feishu Doc?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply Create a Deep Research Feishu Doc during conversations?

Verify SKILL.md is located at .cursor/skills/Create a Deep Research Feishu Doc/SKILL.md (Cursor) or ~/.claude/skills/Create a Deep Research Feishu Doc/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

Create a Deep Research Feishu Doc Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from Create a Deep Research Feishu Doc
Request ArgumentsJSON Schema
{
  "skill": "Create a Deep Research Feishu Doc",
  "rulePath": ".cursor/skills/create-a-deep-research-feishu-doc/SKILL.md",
  "userGoal": "请使用 Create a Deep Research Feishu Doc 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • Latest API docs
  • Framework upgrade Q&A
  • Team wiki Q&A
When NOT to Use
  • Replacing careful reading of official docs
  • Secrets without access control
Recommended Workflow Pairing:View Scenario →

Context7 + GitHub MCP → docs plus repo cross-check

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

Related resources

中文公文写作

v2.0.25

SkillClawHub9.1k

io.clawhub.gongyu0918-debug/chinese-official-writing

用于中文公文、事务性材料和新闻稿件的起草、改写、压缩、润色、审校、文种核对、去口语化、降 AI 味及 Word 格式处理，适用于机关、企事业单位、学校和新闻机构。涵盖申请、请示、报告、通知、通告、意见、决定、决议、议案、公报、命令、函、复函、批复、说明、方案、纪要、公告、公示、通报、制度、规定、办法、细则、操作规程、工作要点、总结、调研、讲话、致辞、主持词、述职、可研、审查材料、技术需求、新闻消息、编者按、新闻评论，以及采购、整改、反馈和 AI 算力等场景。

source
View on ClawHub

Planning with files

v3.23.0

SkillClawHub44.6k

io.clawhub.othmanadi/planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

source
View on ClawHub

ClawCall

v2.0.1

SkillClawHub53.1k

io.clawhub.clawcall-dev/clawcall-dev

Use when the user wants an AI agent to place a US phone call, call a business, handle hold or phone menus, confirm/reschedule/cancel/book/follow up/check an order, reach a real person, leave voicemail, connect the user into a live call, configure ClawCall voice/personality/profile or inbound reserved-number answering, poll received inbound calls, or link a ClawCall API key. Not for SMS, email, or international calls.

source
View on ClawHub

Often paired with

Keep exploring AgentHub

Most people compare similar tools or check scenario guides before installing—start here.

Browse more like thisSearch similarPick by scenarioPrompt playbooksSkill hands-onReviews & comparisons

Listing badge: put AgentHub on your site

Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.

PreviewListed on AgentHub: Create a Deep Research Feishu Doc
HTML
<a href="https://myagenthub.cn/p/io.clawhub.henryjing96/feishu-deep-research" title="Listed on AgentHub: Create a Deep Research Feishu Doc" target="_blank" rel="noopener">
  <img src="https://myagenthub.cn/badge/io.clawhub.henryjing96/feishu-deep-research?lang=en" alt="Listed on AgentHub: Create a Deep Research Feishu Doc" height="20" style="border:0"/>
</a>
Markdown (GitHub README)
[![Listed on AgentHub: Create a Deep Research Feishu Doc](https://myagenthub.cn/badge/io.clawhub.henryjing96/feishu-deep-research?lang=en)](https://myagenthub.cn/p/io.clawhub.henryjing96/feishu-deep-research)

Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.

Unified Manifest

{
  "id": "io.clawhub.henryjing96/feishu-deep-research",
  "type": "skill",
  "version": "2.0.0",
  "displayName": "Create a Deep Research Feishu Doc",
  "description": "飞书深度研究报告生成器。自动执行深度研究并将结果导入为飞书文档。输入研究主题和云空间文件夹token，自动生成结构化研究报告并上传到飞书云空间。用于投资研究、行业分析、竞品调研、技术调研等需要多步骤信息收集和文档化的场景。",
  "author": {
    "name": "henryjing96",
    "url": "https://clawhub.ai/henryjing96"
  },
  "homepage": "https://clawhub.ai/henryjing96/feishu-deep-research",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "henryjing96/feishu-deep-research",
        "version": "2.0.0",
        "runtimeHint": "clawhub install"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "openclaw",
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "downloads:3202",
    "stars:0",
    "installs:106",
    "Feishu",
    "投资",
    "文档",
    "研究",
    "调研"
  ],
  "provenance": {
    "origin": "clawhub",
    "originalId": "henryjing96/feishu-deep-research",
    "originalUrl": "https://clawhub.ai/henryjing96/feishu-deep-research",
    "isOfficial": false,
    "status": "active"
  }
}
Create a Deep Research Feishu Doc Skill Install - AgentHub