使用 lark-mcp 工具实现飞书平台的全面自动化操作。
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfeishu-automationExecute the skills CLI command in your project's root directory to begin installation:
Fetches feishu-automation from aaaaqwq/claude-code-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate feishu-automation. Access via /feishu-automation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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使用 lark-mcp 工具实现飞书平台的全面自动化操作。
// 检查 lark-mcp 工具是否可用
// 可用工具前缀:mcp__lark-mcp_
// 发送文本消息到群组
await mcp__lark-mcp_sendMessage({
receive_id: "oc_xxxxxxxxx",
msg_type: "text",
content: JSON.stringify({
text: "Hello from Clawdbot!"
})
});
createBitable - 创建多维表格createTable - 创建数据表addRecord - 添加记录updateRecord - 更新记录deleteRecord - 删除记录searchRecords - 搜索记录getRecord - 获取记录详情sendMessage - 发送消息getMessages - 获取消息历史replyMessage - 回复消息searchDocs - 搜索文档createDoc - 创建文档getDoc - 获取文档内容updateDoc - 更新文档setDocPermission - 设置文档权限最佳实践:将本地 Markdown 文件直接导入为飞书云文档,格式完整保留。
# 1. 获取 access_token
TOKEN=$(curl -s -X POST 'https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal' \
-H 'Content-Type: application/json' \
-d '{"app_id":"YOUR_APP_ID","app_secret":"YOUR_APP_SECRET"}' \
| python3 -c "import sys,json; print(json.load(sys.stdin).get('tenant_access_token',''))")
# 2. 上传 md 文件到飞书云盘
FILE_TOKEN=$(curl -s -X POST 'https://open.feishu.cn/open-apis/drive/v1/files/upload_all' \
-H "Authorization: Bearer $TOKEN" \
-F "file_name=document.md" \
-F "parent_type=explorer" \
-F "parent_node=" \
-F "size=$(stat -c%s /path/to/document.md)" \
-F "file=@/path/to/document.md" \
| python3 -c "import sys,json; print(json.load(sys.stdin).get('data',{}).get('file_token',''))")
# 3. 导入为飞书云文档
TICKET=$(curl -s -X POST 'https://open.feishu.cn/open-apis/drive/v1/import_tasks' \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{
"file_extension": "md",
"file_token": "'"$FILE_TOKEN"'",
"type": "docx",
"point": {"mount_type": 1, "mount_key": ""}
}' | python3 -c "import sys,json; print(json.load(sys.stdin).get('data',{}).get('ticket',''))")
# 4. 等待导入完成,获取文档链接
sleep 2
curl -s -X GET "https://open.feishu.cn/open-apis/drive/v1/import_tasks/$TICKET" \
-H "Authorization: Bearer $TOKEN" \
| python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('data',{}).get('result',{}).get('url',''))"
支持的导入格式:
md → Markdowndocx → Word 文档xlsx → Excel 表格注意事项:
import_tasks/{ticket} 获取结果mount_type: 1 表示导入到"我的空间"https://xxx.feishu.cn/docx/{token}每次输出云文档时,必须完成以下步骤:
drive/v1/files/upload_alldrive/v1/import_tasksdrive/v1/permissions/{token}/public# 完整流程脚本
TOKEN=$(curl -s -X POST 'https://open.feishu.cn/open-apis/auth/v3/tenant_access_token/internal' \
-H 'Content-Type: application/json' \
-d '{"app_id":"APP_ID","app_secret":"APP_SECRET"}' \
| python3 -c "import sys,json; print(json.load(sys.stdin).get('tenant_access_token',''))")
# 1. 上传文件
FILE_TOKEN=$(curl -s -X POST 'https://open.feishu.cn/open-apis/drive/v1/files/upload_all' \
-H "Authorization: Bearer $TOKEN" \
-F "file_name=document.md" \
-F "parent_type=explorer" \
-F "parent_node=" \
-F "size=$(stat -c%s document.md)" \
-F "[email protected]" \
| python3 -c "import sys,json; print(json.load(sys.stdin).get('data',{}).get('file_token',''))")
# 2. 导入为云文档
TICKET=$(curl -s -X POST 'https://open.feishu.cn/open-apis/drive/v1/import_tasks' \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"file_extension":"md","file_token":"'"$FILE_TOKEN"'","type":"docx","point":{"mount_type":1,"mount_key":""}}' \
| python3 -c "import sys,json; print(json.load(sys.stdin).get('data',{}).get('ticket',''))")
sleep 2
# 3. 获取文档 token
DOC_RESULT=$(curl -s -X GET "https://open.feishu.cn/open-apis/drive/v1/import_tasks/$TICKET" \
-H "Authorization: Bearer $TOKEN")
DOC_TOKEN=$(echo "$DOC_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('data',{}).get('result',{}).get('token',''))")
DOC_URL=$(echo "$DOC_RESULT" | python3 -c "import sys,json; print(json.load(sys.stdin).get('data',{}).get('result',{}).get('url',''))")
# 4. 设置权限:组织Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
I recommend feishu-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
feishu-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in feishu-automation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for feishu-automation matched our evaluation — installs cleanly and behaves as described in the markdown.
feishu-automation reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend feishu-automation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
feishu-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
feishu-automation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
feishu-automation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: feishu-automation is the kind of skill you can hand to a new teammate without a long onboarding doc.
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