Monitor GitHub Trending daily, use AI to analyze and summarize the hottest projects — with topic tagging, star growth prediction, and formatted digest output...
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Lingxi · Daily Ops Automation
试用Complete daily operations automation for GitHub projects — automated GitHub interactions (star, comment, PR review), daily report generation, trending watch,...
它能做什么
Complete daily operations automation for GitHub projects — automated GitHub interactions (star, comment, PR review), daily report generation, trending watch, and multi-platform social publishing. Reduces manual effort to near zero.
技能文档
lingxi-daily-ops
Automate your daily GitHub and social media operations with a systematic, schedulable workflow.
What It Automates
| Operation | Frequency | Description |
|---|---|---|
| GitHub Star | Daily | Star relevant trending projects |
| GitHub Comment | Daily | Meaningful comment on target repos |
| Daily Report | Daily | Generate operations summary |
| Trending Watch | Daily | Monitor specified topics for new projects |
| Health Check | Hourly | Verify services and endpoints |
Usage
Trigger Commands
"Run daily ops" → Full daily workflow
"GitHub star run" → Only GitHub starring
"Generate daily report"→ Only report generation
"Health check" → Only service health check
"Trending watch" → Only topic monitoring
Daily Workflow Sequence
1. Health Check (08:30)
→ Check GitHub API status
→ Verify all webhook endpoints
→ Check ZeroGPU status
2. GitHub Trending Watch (08:35)
→ Fetch trending for watched languages
→ Compare with yesterday's snapshot
→ Flag new entries in watched topics
3. GitHub Interactions (08:40)
→ Star relevant new projects (auto filter by topics)
→ Post comments on configured repos
→ Update issue trackers
4. Report Generation (08:50)
→ Compile operations log
→ Generate markdown report
→ Upload via GitHub API fallback (if push blocked)
5. Social Publish (09:00)
→ Format digest for target platforms
→ Post to configured channels
Configuration
Create ~/.openclaw/daily-ops-config.json:
{
"github_token": "ghp_xxx",
"watch_topics": ["ai", "open-source", "developer-tools"],
"watch_languages": ["python", "typescript", "rust"],
"target_repos": ["owner/repo1", "owner/repo2"],
"star_threshold": 100,
"comment_templates": {
"default": "Great project! 🚀 Auto-starred by lingxi daily-ops."
},
"report_channel": "~/daily-ops/reports/",
"health_check_targets": [
"https://github.com",
"https://api.github.com",
"https://platform.zerogpu.ai"
]
}
Comment Quality Rules
DO:
- Acknowledge specific features you genuinely find useful
- Ask a real question about the project
- Point to related resources that might help
DON'T:
- Generic "Great project!" spam
- Duplicate existing comments
- Comments on repos with explicitly anti-bot policies
Report Template
# Daily Ops Report — YYYY-MM-DD
## GitHub Activity
- Stars given: N
- Comments posted: N
- New projects discovered: N
## Health Status
- GitHub API: ✅
- ZeroGPU: ✅
- Webhooks: ✅
## Trending Watch
New entries in watched topics:
- [project-name](url) — [brief description]
## Tomorrow's Focus
- [ ] Priority task 1
- [ ] Priority task 2
Cron Schedule
0 9 * * * → Full daily workflow (9:00 AM)
*/30 * * * * → Health check (every 30 min)
Installation
clawhub install lingxi-daily-ops
Requirements
ghCLI authenticated with appropriate scopes- GitHub token with:
repo,read:user,public_repo - OpenClaw with
githubskill installed
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