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alphafold-skill

Look up existing predictions and protein information in the AlphaFold Protein Structure Database. Retrieve concise structure metadata, UniProt summaries, sequence summaries, and annotations, with an option to save the full response for later inspection.

OriginalShow the original description

Submit compact AlphaFold Protein Structure Database API requests for prediction, UniProt summary, sequence summary, and annotation lookups. Use when a user wants AlphaFold metadata or concise structure summaries

See how to install

Good for

  • Look up an existing protein structure prediction
  • Check a UniProt summary
  • Review sequence summaries and annotations
  • Save a complete API response

Files included (3)

  • SKILL.md2.5 KB
  • agents/openai.yaml98 B
  • scripts/rest_request.py10.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Operating rules

  • Use scripts/rest_request.py for all AlphaFold API calls.
  • Use base_url=https://alphafold.ebi.ac.uk/api.
  • The script accepts max_items, but set it explicitly only when trimming array-heavy responses; single-entry lookups usually do not need it.
  • For sequence/summary or annotations, start around max_items=3 to 5.
  • Re-run the request if the conversation is long instead of trusting older tool output.
  • Treat displayed ... in tool previews as UI truncation, not part of the real request.
  • If the user asks for full JSON, set save_raw=true and report the saved file path instead of pasting the payload into chat.

Execution behavior

  • Return concise markdown summaries from the script JSON by default.
  • Return the script JSON verbatim only if the user explicitly asks for machine-readable output.
  • Prefer these paths: prediction/<qualifier>, uniprot/summary/<qualifier>.json, sequence/summary, and annotations/<qualifier>.json.
  • Keep sequence-style inputs compact and prefer rerunning instead of copying prior output back into context.

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 AlphaFold patterns:
    • {"base_url":"https://alphafold.ebi.ac.uk/api","path":"prediction/Q5VSL9"}
    • {"base_url":"https://alphafold.ebi.ac.uk/api","path":"uniprot/summary/Q5VSL9.json"}
    • {"base_url":"https://alphafold.ebi.ac.uk/api","path":"annotations/Q5VSL9.json","params":{"type":"MUTAGEN"},"max_items":3}

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 such as invalid_json, invalid_input, network_error, or invalid_response.

Execution

echo '{"base_url":"https://alphafold.ebi.ac.uk/api","path":"prediction/Q5VSL9"}' | 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.

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