Agent Skill
2/7/2026filter-ai-relevant
DEPRECATED: This skill has been replaced by the analyze-article skill which provides more accurate AI-relevance filtering through LLM analysis rather than simple keyword matching.
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SKILL.md
| Name | filter-ai-relevant |
| Description | DEPRECATED: This skill has been replaced by the analyze-article skill which provides more accurate AI-relevance filtering through LLM analysis rather than simple keyword matching. |
name: filter-ai-relevant version: "2.0.0" description: > DEPRECATED: This skill has been replaced by the analyze-article skill which provides more accurate AI-relevance filtering through LLM analysis rather than simple keyword matching. license: MIT deprecated: true deprecated_by: "analyze-article" deprecated_reason: "LLM-based analysis provides better relevance filtering than keyword matching" metadata: kubani: domain: news category: collection requires_approval: false confidence: 0.0 version: "2.0.0" status: deprecated
Filter AI-Relevant Articles (DEPRECATED)
⚠️ DEPRECATED: This skill has been deprecated as of v2.0.0.
AI relevance filtering is now handled by the
analyze-articleskill, which uses LLM analysis to accurately categorize and filter articles rather than simple keyword matching.
Migration Guide
Before (v1.0)
Filtering used keyword matching:
fetch-rss-feeds- Collect articlesfilter-ai-relevant- Keyword-based filteringanalyze-article- LLM analysis
After (v2.0)
LLM analysis handles relevance determination:
fetch-rss-feeds- Collect articles (with dedup)analyze-article- LLM categorizes AND filters for relevance
How to Migrate
If you were using filter-ai-relevant, update your workflow to rely on analyze-article for relevance filtering.
The new approach:
analyze-articlecategorizes articles as: research, business, product, security, policy, general- Articles can be filtered by category after analysis
- LLM provides more nuanced relevance determination than keywords
Replacement Skill
| Old Approach | New Approach |
|---|---|
| Keyword matching | LLM-based analysis |
| Binary AI/not-AI | Category classification |
| Hardcoded keyword list | Context-aware analysis |
| False positives on "meta" | Semantic understanding |
Why Deprecated
- Better accuracy: LLM understands context, not just keywords
- Richer output: Categories instead of binary relevance
- No maintenance: No keyword list to maintain
- Semantic matching: Understands synonyms and related concepts
Example Comparison
Keyword approach (old):
- "Meta releases new AI model" → filtered (contains "AI")
- "Facebook updates metadata API" → filtered (contains "meta")
- "Novel transformer architecture for proteins" → missed (no exact keyword)
LLM approach (new):
- "Meta releases new AI model" → category: product, AI-relevant
- "Facebook updates metadata API" → category: general, not AI-focused
- "Novel transformer architecture for proteins" → category: research, AI-relevant
See Also
- analyze-article - v2.0 with LLM categorization
Skills Info
Original Name:filter-ai-relevantAuthor:x
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