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Graph query

Skill erhwenkuo/stock_skills/.claude/skills/graph-query

Natural language queries to the knowledge graph. Search past reports, screenings, trades, research, and market context.From its SKILL.md

Install
npx -y skills add erhwenkuo/stock_skills --skill graph-query

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.1 KB, 173 tokens by cl100k_base, as published. Nobody here has run it

Graph Query Skill

Search past data accumulated in the knowledge graph (Neo4j) using natural language.

Execution Command

python3 .claude/skills/graph-query/scripts/run_query.py "natural language query"

Natural Language Routing

For natural language → skill selection, see .claude/rules/intent-routing.md.

Output

Results are displayed in Markdown format. If no data is found, a message is shown. If Neo4j is not connected, displays "No data found."

Knowledge Integration Rules (KIK-466)

When displaying graph query results, integrate with conversation context:

  • If query results contain held stocks, add a "Currently holding" marker
  • For past report search results, prompt: "To check the latest data, /stock-report is recommended"

What ships with it: 1 file

1.6 KB alongside SKILL.md, 1 of them executable

scripts/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.