Daily News Report
Daily News Report is an writing AI skill with a core value of Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports. It
helps developers solve real-world problems in the writing domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Scrapes content based on a preset URL list, filters high-quality technical information, and generates daily Markdown reports.
Quick Facts
mkdir -p ./skills/daily-news-report && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/daily-news-report/SKILL.md -o ./skills/daily-news-report/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Daily News Report v3.0
> **Architecture Upgrade**: Main Agent Orchestration + SubAgent Execution + Browser Scraping + Smart Caching
Core Architecture
┌─────────────────────────────────────────────────────────────────────┐
│ Main Agent (Orchestrator) │
│ Role: Scheduling, Monitoring, Evaluation, Decision, Aggregation │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ 1. Init │ → │ 2. Dispatch │ → │ 3. Monitor │ → │ 4. Evaluate │ │
│ │ Read Config │ │ Assign Tasks│ │ Collect Res │ │ Filter/Sort │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │ │ │ │
│ ▼ ▼ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ 5. Decision │ ← │ Enough 20? │ │ 6. Generate │ → │ 7. Update │ │
│ │ Cont/Stop │ │ Y/N │ │ Report File │ │ Cache Stats │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
└──────────────────────────────────────────────────────────────────────┘
↓ Dispatch ↑ Return Results
┌─────────────────────────────────────────────────────────────────────┐
│ SubAgent Execution Layer │
├─────────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Worker A │ │ Worker B │ │ Browser │ │
│ │ (WebFetch) │ │ (WebFetch) │ │ (Headless) │ │
│ │ Tier1 Batch │ │ Tier2 Batch │ │ JS Render │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ ↓ ↓ ↓ │
│ ┌─────────────────────────────────────────────────────────────┐ │
│ │ Structured Result Return │ │
│ │ { status, data: [...], errors: [...], metadata: {...} } │ │
│ └─────────────────────────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────────────┘Configuration Files
This skill uses the following configuration files:
| File | Purpose |
|------|---------|
| `sources.json` | Source configuration, priorities, scrape methods |
| `cache.json` | Cached data, historical stats, deduplication fingerprints |
Execution Process Details
Phase 1: Initialization
Steps:
1. Determine date (user argument or current date)
2. Read sources.json for source configurations
3. Read cache.json for historical data
4. Create output directory NewsReport/
5. Check if a partial report exists for today (append mode)Phase 2: Dispatch SubAgents
**Strategy**: Parallel dispatch, batch execution, early stopping mechanism
Wave 1 (Parallel):
- Worker A: Tier1 Batch A (HN, HuggingFace Papers)
- Worker B: Tier1 Batch B (OneUsefulThing, Paul Graham)
Wait for results → Evaluate count
If < 15 high-quality items:
Wave 2 (Parallel):
- Worker C: Tier2 Batch A (James Clear, FS Blog)
- Worker D: Tier2 Batch B (HackerNoon, Scott Young)
If still < 20 items:
Wave 3 (Browser):
- Browser Worker: ProductHunt, Latent Space (Require JS rendering)Phase 3: SubAgent Task Format
Task format received by each SubAgent:
task: fetch_and_extract
sources:
- id: hn
url: https://new🎯 Best For
- Developers scaffolding new projects
- Prototype builders
- Claude users
- Content creators
- Writers
💡 Use Cases
- Bootstrapping React components
- Creating API route handlers
- Content creation
- Style guide enforcement
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Daily News Report to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
Can I customize the generated output?
Yes — modify the skill's prompt instructions to match your project conventions and coding style.
Can Daily News Report maintain my brand voice?
Yes — provide style guides or example content in your prompt for consistent brand-aligned output.
How do I install Daily News Report?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/daily-news-report/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Using generated code without understanding
Understand what generated code does before shipping it to production.
Publishing unedited drafts
AI writing needs human editing for facts, flow, and authentic voice.