quickgo-skill

Установка

$npx skills add https://github.com/openai/plugins/tree/5fd93af4cd0c623e020d0cc7e9ce178b4ac1f70f/plugins/life-science-research/skills/quickgo-skill

Ставит скилл в текущий проект - CLI спросит, для каких агентов. С флагом -g - в домашнюю папку, для всех проектов.

Описание

Submit compact QuickGO requests for GO terms, annotations, and ontology traversal. Use when a user wants concise QuickGO summaries

Operating rules

  • Use scripts/rest_request.py for all QuickGO API calls.
  • Use base_url=https://www.ebi.ac.uk/QuickGO/services.
  • GO term lookups usually do not need max_items; annotation and traversal endpoints are better with limit=10 and max_items=10.
  • Send Accept: application/json in headers.
  • Re-run requests in long conversations instead of relying on older tool output.
  • Treat displayed ... in tool previews as UI truncation, not literal request content.

Execution behavior

  • Return concise markdown summaries from the script JSON by default.
  • Prefer these paths: ontology/go/terms/<id>, annotation/search, and ontology child or ancestor endpoints.
  • Treat annotation/search as upstream-fragile when QuickGO's annotation Solr backend is unavailable; fall back to ontology term lookup or UniProt GO annotations when appropriate.
  • If the user needs the full payload, set save_raw=true and report the saved file path.

Input

  • Read one JSON object from stdin.
  • Required fields: base_url, path
  • Optional fields: method, params, headers, json_body, form_body, record_path, response_format, max_items, max_depth, timeout_sec, save_raw, raw_output_path
  • Common QuickGO patterns:
    • {"base_url":"https://www.ebi.ac.uk/QuickGO/services","path":"ontology/go/terms/GO:0008150,GO:0003674","headers":{"Accept":"application/json"},"record_path":"results","max_items":10}
    • {"base_url":"https://www.ebi.ac.uk/QuickGO/services","path":"annotation/search","params":{"geneProductId":"P04637","limit":10},"headers":{"Accept":"application/json"},"record_path":"results","max_items":10}

Output

  • Success returns ok, source, path, method, status_code, warnings, and either compact records or a compact summary.
  • Use raw_output_path when save_raw=true.
  • Failure returns ok=false with error.code and error.message.

Execution

echo '{"base_url":"https://www.ebi.ac.uk/QuickGO/services","path":"ontology/go/terms/GO:0006915","headers":{"Accept":"application/json"},"record_path":"results","max_items":10}' | python scripts/rest_request.py

References

  • No additional runtime references are required; keep the import package limited to this file and scripts/rest_request.py.

Ещё из openai/plugins

Все 536
  1. agents-sdkв один кликBuild AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP…
  2. android-emulator-qaв один кликUse when validating Android feature flows in an emulator with adb-driven launch, input, UI-tree inspection, screenshots, and logcat capture.
  3. build-chatgpt-appв один кликBuild, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI…
  4. chatgpt-app-submissionв один кликInspect a ChatGPT Apps MCP server codebase and generate chatgpt-app-submission.json with app info suggestions, tool hint justifications, test cases, and negative test…
  5. cloudflareв один кликComprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security…
  6. earnings-previewв один кликUse when preparing full pre-earnings preview reports with executive summary, expectation bar, guidance credibility, KPI dashboard, scenarios, and call questions. Do…
  7. notion-knowledge-captureв один кликCapture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.
  8. notion-meeting-intelligenceв один кликPrepare meeting materials with Notion context and supplemental research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.