🧪 Skills
Multisource Intel Radar
Build and run a high-signal information radar for C-end founders and operators across YouTube, X/Twitter, Reddit, WeChat Official Accounts, and Xiaohongshu....
v0.1.1
Description
name: multisource-intel-radar description: Build and run a high-signal information radar for C-end founders and operators across YouTube, X/Twitter, Reddit, WeChat Official Accounts, and Xiaohongshu. Use when the user wants OPML/RSS ingestion, keyword-whitelist filtering (创业/AI/增长/金融), daily digests, noise reduction, and action-oriented summaries.
Multi-Source Intel Radar
Create a founder-grade signal system: less junk, more decisions.
Inputs
- OPML file (default:
/Users/rogeryang/Downloads/follow.opml) - Keyword whitelist (default: 创业, AI, 增长, 金融)
- Optional source lists for non-RSS channels (X list links, subreddit list, WeChat/XHS accounts)
Output Contract
Always output:
- Top 3 must-read signals (one-line why + one action + clickable source link)
- Top 5 watchlist items (with source link)
- Dropped noise summary (what got filtered and why)
- Filter transparency (counts + rates: scanned -> matched -> shortlisted -> top3)
- Next experiment (one concrete growth/ops move)
Workflow
Step 1) Ingest feed sources
- Parse OPML with
scripts/parse_opml.py - Generate normalized feed list:
assets/feeds.txt
Step 2) Fetch + filter
- Run
scripts/build_digest.pywith keyword whitelist - Time window default: last 48h
- Keep only items that match whitelist in title/summary
- For Xiaohongshu: do browser search (not watchlist-dependent), using keyword combos like:
- 创业 AI 增长
- AI 产品 复盘
- 增长运营 案例 Then append top findings with profile/note links.
Step 3) Score items
Use this weighted scoring:
- Relevance to whitelist (40%)
- Actionability in 7 days (30%)
- Novelty / non-obviousness (20%)
- Evidence density (10%)
Step 4) Summarize for execution
For each selected item, provide:
- Core insight (1 sentence)
- Why it matters for current product
- Suggested action today (1 step)
Source Coverage Notes
- YouTube/X/Reddit often available via RSSHub or platform feeds in OPML
- WeChat OA and Xiaohongshu are often not natively RSS; add via:
- RSS bridge links (if available)
- Manual watchlist files (
assets/wechat_watchlist.txt,assets/xhs_watchlist.txt)
- If a source has no feed, include it in watchlist and mark as manual scan required
Anti-Noise Rules
- Do not output generic motivational posts
- Drop repeated观点 without new evidence
- Prefer first-hand data / concrete case over opinion
- Keep digest under 10 items total
Daily Cadence (recommended)
- 09:30: morning digest (strategic)
- 18:30: evening digest (tactical)
Keyword Defaults
创业, AI, 增长, 金融
If user provides new keywords, merge and deduplicate.
Files
- Parser:
scripts/parse_opml.py - Digest builder:
scripts/build_digest.py - Notes:
references/scoring-and-ops.md
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