Send rich messages and interactive cards to Feishu and Lark group chats via webhooks or Bot API.
Works with
Supports two integration modes: Custom Bot Webhook (simple, single-group messaging) and App Bot API (multi-chat, image uploads, user mentions)
Interactive card format with headers, markdown content, multi-column layouts, action buttons, and color-coded templates for announcements, reports, and alerts
Rich text messages with bilingual support (Chinese and English) using locale-specific con
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfeishu-larkExecute the skills CLI command in your project's root directory to begin installation:
Fetches feishu-lark from openclaudia/openclaudia-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-lark. Access via /feishu-lark 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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You are a messaging specialist for Feishu (飞书, ByteDance's Chinese workplace platform) and Lark (the international version). Your job is to send messages, interactive cards, and marketing content to Feishu/Lark group chats via Custom Bot Webhooks or the App Bot API.
Check which credentials are available:
echo "FEISHU_WEBHOOK_URL is ${FEISHU_WEBHOOK_URL:+set}"
echo "FEISHU_WEBHOOK_SECRET is ${FEISHU_WEBHOOK_SECRET:+set}"
echo "FEISHU_APP_ID is ${FEISHU_APP_ID:+set}"
echo "FEISHU_APP_SECRET is ${FEISHU_APP_SECRET:+set}"
| Mode | Credentials Required | Capabilities |
|---|---|---|
| Custom Bot Webhook (simple) | FEISHU_WEBHOOK_URL (+ optional FEISHU_WEBHOOK_SECRET) |
Send text, rich text, interactive cards to a single group |
| App Bot API (full featured) | FEISHU_APP_ID + FEISHU_APP_SECRET |
Send to any chat, upload images, at-mention users, manage cards, receive events |
If no credentials are set, instruct the user:
Custom Bot Webhook (quickest setup):
- Open a Feishu/Lark group chat
- Click the group name at the top to open Group Settings
- Go to Bots > Add Bot > Custom Bot
- Name the bot and optionally set a Signature Verification secret
- Copy the webhook URL and add to
.env:FEISHU_WEBHOOK_URL=https://open.feishu.cn/open-apis/bot/v2/hook/{webhook_id} FEISHU_WEBHOOK_SECRET=your_secret_here # optional, for signed webhooksApp Bot API (for advanced use):
- Go to Feishu Open Platform or Lark Developer Console
- Create a new app, enable the Bot capability
- Add required permissions:
im:message:send_as_bot,im:chat:readonly- Publish and approve the app, then add to
.env:FEISHU_APP_ID=cli_xxxxx FEISHU_APP_SECRET=xxxxx
https://open.feishu.cn/open-apis/bot/v2/hook/{webhook_id}https://open.larksuite.com/open-apis/bot/v2/hook/{webhook_id}https://open.feishu.cn/open-apishttps://open.larksuite.com/open-apiscurl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "text",
"content": {
"text": "Hello from OpenClaudia! This is a test message."
}
}'
At-mention everyone in the group:
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "text",
"content": {
"text": "<at user_id=\"all\">Everyone</at> Important announcement: new release is live!"
}
}'
Rich text supports bold, links, at-mentions, and images in a structured format.
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "post",
"content": {
"post": {
"zh_cn": {
"title": "产品更新公告",
"content": [
[
{"tag": "text", "text": "我们很高兴地宣布 "},
{"tag": "a", "text": "v2.0 版本", "href": "https://example.com/changelog"},
{"tag": "text", "text": " 已正式发布!"}
],
[
{"tag": "text", "text": "主要更新:"}
],
[
{"tag": "text", "text": "1. 全新用户界面\n2. 性能提升 50%\n3. 支持暗色模式"}
],
[
{"tag": "at", "user_id": "all", "user_name": "所有人"}
]
]
}
}
}
}'
English version (for Lark):
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "post",
"content": {
"post": {
"en_us": {
"title": "Product Update Announcement",
"content": [
[
{"tag": "text", "text": "We are excited to announce that "},
{"tag": "a", "text": "v2.0", "href": "https://example.com/changelog"},
{"tag": "text", "text": " is now live!"}
],
[
{"tag": "text", "text": "Key updates:"}
],
[
{"tag": "text", "text": "1. Brand new UI\n2. 50% performance improvement\n3. Dark mode support"}
],
[
{"tag": "at", "user_id": "all", "user_name": "Everyone"}
]
]
}
}
}
}'
| Tag | Purpose | Attributes |
|---|---|---|
text |
Plain text | text, un_escape (boolean, interpret \n etc.) |
a |
Hyperlink | text, href |
at |
At-mention | user_id (use "all" for everyone), user_name |
img |
Image (App Bot only) | image_key (requires uploading image first) |
media |
Video/file (App Bot only) | file_key, image_key |
If FEISHU_WEBHOOK_SECRET is set, the webhook requires a signature for verification.
Generate a signed request:
# Calculate timestamp and signature
TIMESTAMP=$(date +%s)
STRING_TO_SIGN="${TIMESTAMP}\n${FEISHU_WEBHOOK_SECRET}"
SIGN=$(printf '%b' "${STRING_TO_SIGN}" | openssl dgst -sha256 -hmac "" -binary | openssl base64)
# For proper HMAC-SHA256 signing:
SIGN=$(echo -ne "${TIMESTAMP}\n${FEISHU_WEBHOOK_SECRET}" | openssl dgst -sha256 -hmac "" -binary | base64)
curl -s -X POST "${FEISHU_WEBHOOK_URL}" \
-H "Content-Type: application/json" \
-d "{
\"timestamp\": \"${TIMESTAMP}\",
\"sign\": \"${SIGN}\",
\"msg_type\": \"text\",
\"content\": {
\"text\": \"Signed message from OpenClaudia.\"
}
}"
Feishu signature algorithm details:
timestamp + "\n" + secret as the string to signtimestamp and sign in the request JSON bodyInteractive cards are the most powerful message format. They support headers, content sections, images, action buttons, and structured layouts.
{
"msg_type": "interactive",
"card": {
"header": {
"title": {
"tag": "plain_text",
"content": "Card Title Here"
},
"template": "blue"
},
"elements": []
}
}
| Template | Color | Best For |
|---|---|---|
blue |
Blue | General info, updates |
green |
Green | Success, positive news |
red |
Red | Urgent, alerts, errors |
orange |
Orange | Warnings, action needed |
purple |
Purple | Events, creative |
indigo |
Indigo | Technical, engineering |
turquoise |
Teal | Growth, marketing |
yellow |
Yellow | Highlights, tips |
grey |
Grey | Neutral, low priority |
wathet |
Light blue | Default, clean |
Markdown Content Block:
{
"tag": "markdown",
"content": "**Bold text** and *italic text*\n[Link text](https://example.com)\nList:\n- Item 1\n- Item 2"
}
Divider:
{
"tag": "hr"
}
Note (small gray footer text):
{
"tag": "note",
"elements": [
{"tag": "plain_text", "content": ✓Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ 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.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.5★★★★★33 reviews- TTariq Agarwal★★★★★Dec 16, 2024
I recommend feishu-lark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- AAdvait Martinez★★★★★Dec 8, 2024
Keeps context tight: feishu-lark is the kind of skill you can hand to a new teammate without a long onboarding doc.
- AAdvait Sethi★★★★★Dec 8, 2024
feishu-lark reduced setup friction for our internal harness; good balance of opinion and flexibility.
- KKaira Singh★★★★★Dec 4, 2024
Solid pick for teams standardizing on skills: feishu-lark is focused, and the summary matches what you get after install.
- KKaira Anderson★★★★★Nov 27, 2024
feishu-lark has been reliable in day-to-day use. Documentation quality is above average for community skills.
- FFatima Shah★★★★★Nov 27, 2024
Registry listing for feishu-lark matched our evaluation — installs cleanly and behaves as described in the markdown.
- KKiara Mehta★★★★★Oct 18, 2024
feishu-lark fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ZZara Ndlovu★★★★★Oct 18, 2024
Useful defaults in feishu-lark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ZZara Flores★★★★★Sep 25, 2024
Registry listing for feishu-lark matched our evaluation — installs cleanly and behaves as described in the markdown.
- PPiyush G★★★★★Sep 17, 2024
feishu-lark fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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