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semantic-pipeline

Compute three measures of semantic diversity on a parquet of texts — word-level DSI (BERT layers 6+7, Beaty/Patterson 2022 recipe), sentence-level mean…

Skill by lirabenjamin

IndexedLicense unknown★ 3
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/lirabenjamin-semantic-pipeline

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Compute three measures of semantic diversity on a parquet of texts — word-level DSI (BERT layers 6+7, Beaty/Patterson 2022 recipe), sentence-level mean pairwise cosine distance (SBERT all-MiniLM-L6-v2), and document-level chamfer Distinctness (OpenAI text-embedding-3-large, min cosine distance to any other doc in the same cohort, per Moon et al.). Use when the user says "/semantic-pipeline", "compute semantic diversity", "do the three-level diversity analysis", or any request to replicate the Moon-Kibum / Beaty semantic homogenization pipeline.

Use cases: documents, data, ml

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/semantic-pipeline

What's inside

Skill name
semantic-pipeline
Description
Compute three measures of semantic diversity on a parquet of texts — word-level DSI (BERT layers 6+7, Beaty/Patterson 2022 recipe), sentence-level mean pairwise cosine distance (SBERT all-MiniLM-L6-v2), and document-level chamfer Distinctness (OpenAI text-embedding-3-large, min cosine distance to any other doc in the same cohort, per Moon et al.). Use when the user says "/semantic-pipeline", "compute semantic diversity", "do the three-level diversity analysis", or any request to replicate the Moon-Kibum / Beaty semantic homogenization pipeline.
License
unknown
Instructions
147 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (6)

  • SKILL.md
  • requirements.txt
  • 01_word_level.py · scripts/
  • 02_sentence_level.py · scripts/
  • 03_doc_level.py · scripts/
  • run_pipeline.py · scripts/

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from lirabenjamin/claude-code-for-researchers

Signals

Stars
3
Forks
1
Open issues
0
Last commit (this folder)
Sep 23, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
License unknown
Repository
github.com/lirabenjamin/claude-code-for-researchers
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from lirabenjamin

Cite this page

semantic-pipeline skill. Agent Mart. https://agentmart.dev/skills/lirabenjamin-semantic-pipeline (last updated 2026-10-24)