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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
How this skill is triggered — by the user, by Claude, or both
Slash command
/life-science-research:alphafold-skillThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- Use `scripts/rest_request.py` for all AlphaFold API calls.
scripts/rest_request.py for all AlphaFold API calls.base_url=https://alphafold.ebi.ac.uk/api.max_items, but set it explicitly only when trimming array-heavy responses; single-entry lookups usually do not need it.sequence/summary or annotations, start around max_items=3 to 5.... in tool previews as UI truncation, not part of the real request.save_raw=true and report the saved file path instead of pasting the payload into chat.prediction/<qualifier>, uniprot/summary/<qualifier>.json, sequence/summary, and annotations/<qualifier>.json.base_url, pathmethod, params, headers, json_body, form_body, record_path, response_format, max_items, max_depth, timeout_sec, save_raw, raw_output_path{"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}ok, source, path, method, status_code, warnings, and either compact records or a compact summary.raw_output_path when save_raw=true.ok=false with error.code such as invalid_json, invalid_input, network_error, or invalid_response.echo '{"base_url":"https://alphafold.ebi.ac.uk/api","path":"prediction/Q5VSL9"}' | python scripts/rest_request.py
scripts/rest_request.py.Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub robinebers/converted-plugins --plugin life-science-research