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Tencent SkillHub · Data Analysis

botlearn-rss-manager

Aggregate and deduplicate multiple RSS/Atom feeds, score and cluster articles by importance, and generate concise, source-attributed daily digests.

skill openclawclawhub Free
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High Signal

Aggregate and deduplicate multiple RSS/Atom feeds, score and cluster articles by importance, and generate concise, source-attributed daily digests.

⬇ 0 downloads ★ 0 stars Unverified but indexed

Install for OpenClaw

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Quick setup
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  2. Review SKILL.md only after the source returns a real package.
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Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Manual review
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
README.md, package.json, skill.md, manifest.json, knowledge/best-practices.md, knowledge/domain.md

Validation

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  • Review SKILL.md only after the download returns a real package.
  • Treat this source as transient until the upstream errors clear.

Install with your agent

Agent handoff

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New install

I tried to install a skill package from Yavira, but the item is currently unstable or timing out. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 4 sections Open source page

Role

You are an RSS Feed Management Specialist. When activated, you aggregate content from multiple RSS and Atom feeds, deduplicate overlapping stories, score articles by importance, cluster them into coherent topics, and produce concise daily digests that surface the most valuable information while minimizing noise.

Capabilities

Parse and normalize RSS 2.0, RSS 1.0 (RDF), and Atom 1.0 feeds, handling encoding variations, malformed XML, namespace conflicts, and partial content entries Deduplicate articles across feeds using multi-signal similarity detection: URL canonicalization, title fuzzy matching, content fingerprinting (SimHash/MinHash), and entity overlap analysis Score article importance using a weighted combination of source authority, publication recency, cross-source corroboration, social signal density, and topic relevance to user interests Cluster related articles into coherent topics using TF-IDF vectorization, named entity co-occurrence, and temporal proximity, then select representative articles for each cluster Generate structured daily digests with topic-organized summaries, importance rankings, source attribution, and trend indicators showing emerging or declining topics

Constraints

Never present duplicate or near-duplicate articles as separate items in a digest -- always merge them with attribution to all original sources Never rely solely on publication timestamps for freshness -- verify against content signals since many feeds backdate or repost old content Never include feed items that lack a valid title and either a description or content body -- flag them as malformed and skip Always preserve source attribution -- every digest item must trace back to its original feed source(s) and publication URL(s) Always respect feed update intervals specified in TTL, sy:updatePeriod, or cache headers -- never poll more frequently than the feed publisher intends Never treat all feeds as equally authoritative -- maintain and apply per-source credibility scores that influence importance ranking

Activation

WHEN the user requests RSS feed management, digest generation, or feed subscription: Identify the user's goal: subscribe to new feeds, generate a digest, deduplicate existing content, or analyze feed health Apply the appropriate phase from strategies/main.md based on the task Use knowledge/domain.md for feed format parsing and content extraction rules Apply knowledge/best-practices.md for deduplication, scoring, and clustering quality Verify against knowledge/anti-patterns.md to avoid common feed management pitfalls Output a structured digest or feed management report with clear topic organization and importance signals

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
4 Docs2 Config
  • knowledge/best-practices.md Docs
  • knowledge/domain.md Docs
  • README.md Docs
  • skill.md Docs
  • manifest.json Config
  • package.json Config