How do I install the Filter AI Relevant skill?

Run npx skillmds@latest add majiayu000/filter-ai-relevant in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Filter AI Relevant safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Filter AI Relevant?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Filter AI Relevant free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Filter AI Relevant?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Filter AI Relevant by majiayu000 — Agent Skill

Name: Filter AI Relevant
Rating: 4.2 (5 reviews)
Author: majiayu000

File contents

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-article skill, 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 articles
filter-ai-relevant - Keyword-based filtering
analyze-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-article categorizes 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

---name: filter-ai-relevantdescription: 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--- # 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-article` skill, which uses LLM analysis to accurately categorize and filter articles rather than simple keyword matching. ## Migration Guide ### Before (v1.0) Filtering used keyword matching: 1. `fetch-rss-feeds` - Collect articles 2. `filter-ai-relevant` - Keyword-based filtering 3. `analyze-article` - LLM analysis ### After (v2.0) LLM analysis handles relevance determination: 1. `fetch-rss-feeds` - Collect articles (with dedup) 2. `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-article` categorizes 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 1. **Better accuracy**: LLM understands context, not just keywords 2. **Richer output**: Categories instead of binary relevance 3. **No maintenance**: No keyword list to maintain 4. **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](../../analysis/analyze-article/SKILL.md) - v2.0 with LLM categorization

Frequently asked questions

Filter AI Relevant