Send notifications to Feishu/Lark. Internal utility used by other skills, or manually via /feishu-notify. Use when user says \"发飞书\", \"notify feishu\", or other skills need to send status updates.
npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill feishu-notify
Send a notification: $ARGUMENTS
This skill provides Feishu/Lark integration for ARIS. It is designed as an internal utility — other skills call it at key events (experiment done, review scored, checkpoint waiting). It can also be invoked manually.
Zero-impact guarantee: If no feishu.json config exists, this skill does nothing and returns silently. All existing workflows are completely unaffected.
The skill reads ~/.claude/feishu.json. If this file does not exist, all Feishu functionality is disabled — skills behave exactly as before.
{
"mode": "push",
"webhook_url": "https://open.feishu.cn/open-apis/bot/v2/hook/YOUR_WEBHOOK_ID",
"interactive": {
"bridge_url": "http://localhost:5000",
"timeout_seconds": 300
}
}
| Mode | "mode" value | What it does | Requires |
|------|----------------|--------------|----------|
| Off | "off" or file absent | Nothing. Pure CLI as-is | Nothing |
| Push only | "push" | Send webhook notifications at key events. Mobile push, no reply | Feishu bot webhook URL |
| Interactive | "interactive" | Full bidirectional. Approve/reject from Feishu, reply to checkpoints | feishu-claude-code running |
cat ~/.claude/feishu.json 2>/dev/null
"mode": "off" → return silently, do nothing"mode": "push" → proceed to Step 2 (push)"mode": "interactive" → proceed to Step 3 (interactive)Send a rich card to the Feishu webhook:
curl -s -X POST "$WEBHOOK_URL" \
-H "Content-Type: application/json" \
-d '{
"msg_type": "interactive",
"card": {
"header": {
"title": {"tag": "plain_text", "content": "TITLE"},
"template": "COLOR"
},
"elements": [
{"tag": "markdown", "content": "BODY"}
]
}
}'
Card templates by event type:
| Event | Title | Color | Body |
|-------|-------|-------|------|
| experiment_done | Experiment Complete | green | Results table, delta vs baseline |
| review_scored | Review Round N: X/10 | blue (≥6) / orange (<6) | Score, verdict, top 3 weaknesses |
| checkpoint | Checkpoint: Waiting for Input | yellow | Question, options, context |
| error | Error: [type] | red | Error message, what failed |
| pipeline_done | Pipeline Complete | purple | Final summary, deliverables |
| custom | Custom | blue | Free-form message from $ARGUMENTS |
Return immediately after curl — push mode never waits for a response.
Interactive mode uses feishu-claude-code as a bridge:
curl -s -X POST "$BRIDGE_URL/send" \
-H "Content-Type: application/json" \
-d '{"type": "EVENT_TYPE", "title": "TITLE", "body": "BODY", "options": ["approve", "reject", "custom"]}'
curl -s "$BRIDGE_URL/poll?timeout=$TIMEOUT_SECONDS"
Returns: {"reply": "approve"} or {"reply": "reject"} or {"reply": "user typed message"} or {"timeout": true}
AUTO_PROCEED behavior (proceed with default option).Other skills should use this pattern to send notifications:
### Feishu Notification (if configured)
Check if `~/.claude/feishu.json` exists and mode is not "off":
- If **push** mode: send webhook notification with event summary
- If **interactive** mode: send notification and wait for user reply
- If **off** or file absent: skip entirely (no-op)
This check is always guarded. If the config file doesn't exist, the skill skips the notification block entirely — zero overhead, zero side effects.
Skills send these events at these moments:
| Skill | Event | When |
|-------|-------|------|
| /auto-review-loop | review_scored | After each round's review score |
| /auto-review-loop | pipeline_done | Loop complete (positive or max rounds) |
| /auto-paper-improvement-loop | review_scored | After each round's review score |
| /auto-paper-improvement-loop | pipeline_done | All rounds complete |
| /run-experiment | experiment_done | Screen session finishes |
| /idea-discovery | checkpoint | Between phases (if interactive) |
| /idea-discovery | pipeline_done | Final report ready |
| /monitor-experiment | experiment_done | Results collected |
| /research-pipeline | checkpoint | Between workflow stages |
| /research-pipeline | pipeline_done | Full pipeline complete |
AUTO_PROCEED: In interactive mode, if the user doesn't reply within timeout, use the same auto-proceed logic as the calling skill.Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Replace with description of the skill and when Claude should use it.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Take wanshuiyin/feishu-notify from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.