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document-semantic-search

Semantic search across credit documentation using 4096-dimensional embeddings (Qwen3-Embedding-8B).

Skill by maschad

IndexedComplete terms in LICENSE.txt★ 6
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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/maschad-document-semantic-search

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

Semantic search across credit documentation using 4096-dimensional embeddings (Qwen3-Embedding-8B). Enables natural language queries to find relevant clauses, covenants, terms, and structures across assignments, credit agreements, fee letters, security agreements, and other credit documents. Use when searching credit documentation, researching precedents, extracting covenant structures, or analyzing collateral packages.

Use cases: documents, ml, security

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

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

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/document-semantic-search

What's inside

Skill name
document-semantic-search
Description
Semantic search across credit documentation using 4096-dimensional embeddings (Qwen3-Embedding-8B). Enables natural language queries to find relevant clauses, covenants, terms, and structures across assignments, credit agreements, fee letters, security agreements, and other credit documents. Use when searching credit documentation, researching precedents, extracting covenant structures, or analyzing collateral packages.
License
Complete terms in LICENSE.txt
Instructions
940 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • body: 940 lines (spec recommends under 500)

Files (5)

  • LICENSE.txt
  • SKILL.md
  • best_practices.md · reference/
  • document_preparation.md · reference/
  • query_optimization.md · reference/

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

More from maschad/my-claude

Signals

Stars
6
Forks
0
Open issues
0
Last commit (this folder)
Feb 10, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Complete terms in LICENSE.txt
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from maschad

Cite this page

document-semantic-search skill. Agent Mart. https://agentmart.dev/skills/maschad-document-semantic-search (last updated 2026-10-24)