dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
Feishu document operations (User Access Token version). Use user access token for authentication. When you need to read, create, write, or append Feishu documents.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install hacksing/feishu-userInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Fe access token authentication. Call Feishu Open API directly via REST API.
pip install requests
from feishu_client import FeishuClient
# Initialize client
client = FeishuClient(user_access_token="u-xxx")
Prepare the following:
Enable these permissions:
docx:document - Document operationsdrive:drive.search:readonly - Cloud drive searchsearch:docs:read - Document searchhttps://accounts.feishu.cn/open-apis/authen/v1/authorize?client_id={YOUR_APP_ID}&response_type=code&redirect_uri={YOUR_REDIRECT_URI}&scope=docx%3Adocument%20drive%3Adrive.search%3Areadonly%20search%3Adocs%3Aread
curl -X POST "https://open.feishu.cn/open-apis/authen/v1/access_token" \
-H "Content-Type: application/json" \
-d '{
"grant_type": "authorization_code",
"code": "{YOUR_CODE}",
"app_id": "{YOUR_APP_ID}",
"app_secret": "{YOUR_APP_SECRET}"
}'
The returned access_token is your user_access_token.
from feishu_client import FeishuClient
# Initialize
client = FeishuClient(user_access_token="u-xxx")
# Read document
content = client.read_doc("doc_token")
print(content)
# Create document
new_token = client.create_doc("My New Document")
print(f"New document: {new_token}")
# Write document
client.write_doc("doc_token", "# Title\n\nContent")
# Append content
client.append_doc("doc_token", "## New Section\n\nMore content")
# List all blocks
blocks = client.list_blocks("doc_tok...
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# Feishishu document operations using useru User
Fe access token authentication. Call Feishu Open API directly via REST API.
## Install Dependencies
```bash
pip install requests
```
## Quick Start
```python
from feishu_client import FeishuClient
# Initialize client
client = FeishuClient(user_access_token="u-xxx")
```
## Get User Access Token
### Step 1: Get App Credentials from Feishu Open Platform
Prepare the following:
- **APP_ID** - App ID (from Feishu Open Platform app settings)
- **APP_SECRET** - App Secret (from Feishu Open Platform app settings)
- **REDIRECT_URI** - Authorization callback URL
Enable these permissions:
- `docx:document` - Document operations
- `drive:drive.search:readonly` - Cloud drive search
- `search:docs:read` - Document search
### Step 2: Generate Authorization URL
```
https://accounts.feishu.cn/open-apis/authen/v1/authorize?client_id={YOUR_APP_ID}&response_type=code&redirect_uri={YOUR_REDIRECT_URI}&scope=docx%3Adocument%20drive%3Adrive.search%3Areadonly%20search%3Adocs%3Aread
```
### Step 3: Exchange for Token
```bash
curl -X POST "https://open.feishu.cn/open-apis/authen/v1/access_token" \
-H "Content-Type: application/json" \
-d '{
"grant_type": "authorization_code",
"code": "{YOUR_CODE}",
"app_id": "{YOUR_APP_ID}",
"app_secret": "{YOUR_APP_SECRET}"
}'
```
The returned `access_token` is your `user_access_token`.
---
## Usage Examples
```python
from feishu_client import FeishuClient
# Initialize
client = FeishuClient(user_access_token="u-xxx")
# Read document
content = client.read_doc("doc_token")
print(content)
# Create document
new_token = client.create_doc("My New Document")
print(f"New document: {new_token}")
# Write document
client.write_doc("doc_token", "# Title\n\nContent")
# Append content
client.append_doc("doc_token", "## New Section\n\nMore content")
# List all blocks
blocks = client.list_blocks("doc_tok...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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