bgee-skill
bởi openai
Gửi các yêu cầu SPARQL Bgee nhỏ gọn để lấy siêu dữ liệu biểu hiện kiểu hoang dã khỏe mạnh và các mẫu tra cứu nhận biết ontology. Sử dụng khi người dùng muốn tóm tắt Bgee ngắn gọn;…
npx skills add https://github.com/openai/plugins --skill bgee-skillOperating rules
- Use
scripts/sparql_request.pyfor all Bgee SPARQL work. - Start with small
SELECTorASKqueries and addLIMITearly. - Prefer ontology-aware, healthy wild-type expression questions over broad triple dumps.
- Use
query_pathfor longer SPARQL documents instead of pasting large inline queries. - Re-run requests in long conversations instead of relying on older tool output.
Execution behavior
- Return concise markdown summaries from the SPARQL JSON by default.
- Return raw results only if the user explicitly asks for machine-readable output.
- Default to JSON result format unless the user explicitly asks for text output.
Input
- Read one JSON object from stdin.
- Required field:
queryorquery_path - Optional fields:
method,params,response_format,max_items,max_depth,timeout_sec,save_raw,raw_output_path - Common Bgee patterns:
{"query":"ASK {}"}{"query":"SELECT * WHERE { ?s ?p ?o } LIMIT 3","max_items":3}
Output
- Success returns
ok,source, a compactsummary, andraw_output_pathwhensave_raw=true. - Failure returns
ok=falsewitherror.codesuch asinvalid_json,invalid_input,network_error, orinvalid_response.
Execution
echo '{"query":"ASK {}"}' | python scripts/sparql_request.py
References
- No additional runtime references are required; keep the import package limited to this file and
scripts/sparql_request.py.