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jevgraph-build

Build evidence-backed candidate knowledge graphs with typed relation decisions from non-code documents (specs, PRDs, or PDFs).

Skill by terenceooi99

IndexedMIT
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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.

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About

Build evidence-backed candidate knowledge graphs with typed relation decisions from non-code documents (specs, PRDs, or PDFs). Use EXCLUSIVELY for non-code files. For source code files, use CodeGraphContext (/codegraph-index). Activate when the user types /jevgraph-build, /jevgraph, "build knowledge graph", "document graph", or asks to extract structured entity relations from specifications or documents.

Use cases: documents

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

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/jevgraph-build

What's inside

Skill name
jevgraph-build
Description
Build evidence-backed candidate knowledge graphs with typed relation decisions from non-code documents (specs, PRDs, or PDFs). Use EXCLUSIVELY for non-code files. For source code files, use CodeGraphContext (/codegraph-index). Activate when the user types /jevgraph-build, /jevgraph, "build knowledge graph", "document graph", or asks to extract structured entity relations from specifications or documents.
License
MIT
Instructions
32 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# JevGraph Candidate Knowledge Graph Builder (/jevgraph-build)

Builds an evidence-backed candidate knowledge graph from documents (PDF, DOCX, PPTX, TXT, or markdown architectural specs) using bounded candidate blocking and typed relation decisions (Upstream: `chenmingtang830/jevgraph`).
NOTE: JevGraph is strictly for non-code documentation. For code-based files, use CodeGraphContext (/codegraph-index).

## Why JevGraph Saves Prompt Tokens
Instead of dumping full 50-100 page spec documents or massive architecture files into the LLM prompt context (which consumes 50,000–200,000 tokens), JevGraph performs local parsing and candidate blocking to generate compact, structured knowledge graphs with page-level evidence windows.

## Quick Execution Commands
1. **Manual Insert via IDE Dashboard or Command Palette:**
   - Run `Token Saver: Manual Insert Documents to JevGraph (File Explorer & Web Link)` or click **📁 Manual Insert Documents to JevGraph** in the Token Saver Dashboard to pick local files (`.pdf`, `.docx`, `.md`, `.txt`) or ingest public web links.

2. **Automated Repository & AI Chat Ingestion:**
   - **Auto Initial Build:** Automatically scans and indexes all repo documentation (`docs/`, `specs/`, `README.md`, `PRD*`, etc.) into `runs/graph.json` upon startup.
   - **Auto Watcher & Combiner:** Actively watches for newly added or edited documents and AI chat feeds, merging new entity nodes and typed relation edges into `runs/graph.json` in real time.

3. **CLI Execution Commands:**
   - **Build Graph (Offline Keyword Baseline - 0 External Tokens):**
     ```bash
     uv run jevgraph build path/to/spec.md --provider keyword --out runs/spec_graph.json
     ```
   - **Build Graph from PDF / DOCX / PPTX:**
     ```bash
     uv run jevgraph build path/to/doc.pdf --provider keyword --out runs/doc_graph.json
     ```
   - **Export Graph (Cypher / CSV):**
     ```bash
     uv run jevgraph export runs/spec_graph.json --format neo4j --out runs/spec.cypher
     uv run jevgraph export runs/spec_graph.json --format csv --out runs/spec_csv
     ```

From terenceooi99/token-saver-rtk-ide, MIT.

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Last commit (this folder)
Oct 16, 2026 (12 days ago)
Last release
Oct 18, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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jevgraph-build skill. Agent Mart. https://agentmart.dev/skills/terenceooi99-jevgraph-build (last updated 2026-10-24)