keyword-graph-view
Extract exactly 8 context-sensitive keywords from Chinese, English, or mixed text and turn them into a distributed weighted Graph View with no center goal node. Use when Codex needs keyword extraction, blacklist filtering, co-occurrence edges, node definitions/notes, weighted graph JSON, or an online Graph View tool for text analysis.
npx skills add twhsi/skills --skill keyword-graph-view --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Keyword Graph View Create a centerless keyword network from raw text. The output should contain 8 keyword nodes, weighted undirected edges, and a short definition/note for every node. ## Live Tool - Open the public app at `https://keyword-graph-view.twhsi.chatgpt.site/` when the user wants an interactive Graph View. - Use `assets/web-app/` when the user wants to inspect, adapt, or redeploy the validated website source. - In the web app, paste or import text, edit the blacklist, select a case, and press the generate button. Click a node to inspect its definition, note, evidence, and weighted connections. ## Workflow 1. Read the source text and any user-provided blacklist. 2. Remove blacklisted phrases before token scoring, then filter blacklisted tokens during ranking. 3. Extract exactly 8 keywords by frequency, term length, and spread through the source. 4. Build weighted co-occurrence edges by scanning a configurable token window. 5. Do not create a "center", "main goal", "中心目標", or hub node unless the user explicitly asks for a radial Mandalart layout. 6. Generate a definition for each node from its strongest evidence sentence and connected keywords. 7. Render or return a distr
- Live Tool
- Workflow
- Output Schema
- Visual Rules
- Blacklist
- Script
- Web App
python3 scripts/extract_keyword_graph.py input.txt --blacklist blacklist.txt --out graph.json cd assets/web-app npm install npm run dev
What does the keyword-graph-view skill do?
Extract exactly 8 context-sensitive keywords from Chinese, English, or mixed text and turn them into a distributed weighted Graph View with no center goal node. Use when Codex needs keyword extraction, blacklist filtering, co-occurrence edges, node definitions/notes, weighted graph JSON, or an online Graph View tool for text analysis.
How do I install it?
Run `npx skills add twhsi/skills --skill keyword-graph-view --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 twhsi/skills, a repository with 256 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.