Agent skill · Content & Marketing

content-filter

Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill content-filter --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/content-filter/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Content Filter Skill Filter and classify incoming content for relevance to AI research intelligence. This skill is optimized for high-throughput bulk processing. ## Purpose The content filter is the first stage of the extraction pipeline. It quickly assesses content to: 1. Determine relevance to AI research discourse 2. Classify by topic and content type 3. Identify author category 4. Filter out noise before expensive extraction ## Assessment Schema For each piece of content, produce: ### 1. relevance (0.0-1.0) How relevant is this to AI research intelligence? | Score | Meaning | |-------|---------| | 0.9-1.0 | Highly relevant - substantial claims, predictions, or hints | | 0.7-0.9 | Clearly relevant - discusses AI capabilities, progress, or debate | | 0.5-0.7 | Moderately relevant - tangentially about AI or tech industry | | 0.3-0.5 | Low relevance - may contain signal but mostly noise | | 0.0-0.3 | Not relevant - personal, off-topic, or pure promotion | ### 2. topic Primary topic category: - `scaling`: Scaling laws, compute, training efficiency - `reasoning`: LLM reasoning, chain-of-thought, planning - `agents`: AI agents, tool use, autonomy - `safety`: AI safety, alignment, co

What's inside
Steps it walks through
  1. Purpose
  2. Assessment Schema
  3. 1. relevance (0.0-1.0)
  4. 2. topic
  5. 3. contentType
  6. 4. authorCategory
  7. 5. isSubstantive (boolean)
  8. 6. brief
  9. Output Format
  10. Quick Classification Heuristics
  11. High Relevance (0.7-1.0)
  12. Medium Relevance (0.4-0.7)
  13. Low Relevance (0.0-0.4)
  14. Author Detection Tips
Ships with 1 file
  • metadata.json
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About this skill
What does the content-filter skill do?

Filter and classify AI research content for relevance, topic, and author category. Use for bulk triage of raw content before detailed claim extraction.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill content-filter --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going