Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
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....
skill openclawclawhub Free
Build and run a high-signal information radar for C-end founders and operators across YouTube, X/Twitter, Reddit, WeChat Official Accounts, and Xiaohongshu....
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, assets/feeds.txt, assets/wechat_watchlist.txt, assets/xhs_watchlist.txt, references/scoring-and-ops.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.1
Provenance
- Publisher
- Rogerrrr18
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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)
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.py with 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
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Assets2 Docs1 Config
- SKILL.md
- references/scoring-and-ops.md
- _meta.json
- assets/feeds.txt
- assets/wechat_watchlist.txt
- assets/xhs_watchlist.txt