feishu-lark

openclaudia/openclaudia-skills · updated Apr 8, 2026

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$npx skills add https://github.com/openclaudia/openclaudia-skills --skill feishu-lark
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summary

Send rich messages and interactive cards to Feishu and Lark group chats via webhooks or Bot API.

  • 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
skill.md

Feishu / Lark Messaging Skill

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.

Prerequisites

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}"

Two Integration Modes

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):

  1. Open a Feishu/Lark group chat
  2. Click the group name at the top to open Group Settings
  3. Go to Bots > Add Bot > Custom Bot
  4. Name the bot and optionally set a Signature Verification secret
  5. 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 webhooks
    

App Bot API (for advanced use):

  1. Go to Feishu Open Platform or Lark Developer Console
  2. Create a new app, enable the Bot capability
  3. Add required permissions: im:message:send_as_bot, im:chat:readonly
  4. Publish and approve the app, then add to .env:
    FEISHU_APP_ID=cli_xxxxx
    FEISHU_APP_SECRET=xxxxx
    

Webhook URL Formats

  • Feishu (China): https://open.feishu.cn/open-apis/bot/v2/hook/{webhook_id}
  • Lark (International): https://open.larksuite.com/open-apis/bot/v2/hook/{webhook_id}

API Base URLs

  • Feishu (China): https://open.feishu.cn/open-apis
  • Lark (International): https://open.larksuite.com/open-apis

1. Custom Bot Webhook Messages

1.1 Plain Text Message

curl -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!"
    }
  }'

1.2 Rich Text Message (Post)

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"}
            ]
          ]
        }
      }
    }
  }'

Rich Text Tag Reference

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

1.3 Signed Webhook Requests

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:

  1. Concatenate timestamp + "\n" + secret as the string to sign
  2. Compute HMAC-SHA256 with an empty key over that string
  3. Base64-encode the result
  4. Include both timestamp and sign in the request JSON body

2. Interactive Card Messages

Interactive cards are the most powerful message format. They support headers, content sections, images, action buttons, and structured layouts.

2.1 Basic Card Structure

{
  "msg_type": "interactive",
  "card": {
    "header": {
      "title": {
        "tag": "plain_text",
        "content": "Card Title Here"
      },
      "template": "blue"
    },
    "elements": []
  }
}

Header Color Templates

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

2.2 Card Elements Reference

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": 
how to use feishu-lark

How to use feishu-lark on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add feishu-lark
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/openclaudia/openclaudia-skills --skill feishu-lark

The skills CLI fetches feishu-lark from GitHub repository openclaudia/openclaudia-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/feishu-lark

Reload or restart Cursor to activate feishu-lark. Access the skill through slash commands (e.g., /feishu-lark) or your agent's skill management interface.

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

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

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.533 reviews
  • Tariq Agarwal· Dec 16, 2024

    I recommend feishu-lark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Advait 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.

  • Advait Sethi· Dec 8, 2024

    feishu-lark reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kaira Singh· Dec 4, 2024

    Solid pick for teams standardizing on skills: feishu-lark is focused, and the summary matches what you get after install.

  • Kaira Anderson· Nov 27, 2024

    feishu-lark has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Fatima Shah· Nov 27, 2024

    Registry listing for feishu-lark matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kiara Mehta· Oct 18, 2024

    feishu-lark fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Zara Ndlovu· Oct 18, 2024

    Useful defaults in feishu-lark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Zara Flores· Sep 25, 2024

    Registry listing for feishu-lark matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush 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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