Aggregates target-level evidence from UniProt, Open Targets, PubMed, and trials for genes/proteins with optional disease context. Outputs JSON and Markdown for research triage.
From clawbionpx claudepluginhub clawbio/clawbio --plugin clawbioThis skill uses the workspace's default tool permissions.
commands.shenvironment.ymlexamples/demo_input.jsonexamples/expected_output.mdomics_target_evidence_mapper.pytests/test_omics_target_evidence_mapper.pytests/test_smoke.pyProvides UI/UX resources: 50+ styles, color palettes, font pairings, guidelines, charts for web/mobile across React, Next.js, Vue, Svelte, Tailwind, React Native, Flutter. Aids planning, building, reviewing interfaces.
Fetches up-to-date documentation from Context7 for libraries and frameworks like React, Next.js, Prisma. Use for setup questions, API references, and code examples.
Calculates TAM/SAM/SOM using top-down, bottom-up, and value theory methodologies for market sizing, revenue estimation, and startup validation.
Researchers often need a quick first-pass view of whether a gene or protein target has evidence across multiple public sources. In practice, this usually means checking several websites manually and informally combining results. This skill makes that process reproducible by retrieving and organising public evidence into one structured output.
This skill is for research triage only. It does not infer causality, rank therapeutic value, or make clinical recommendations.
| Argument | Required | Example | Notes |
|---|---|---|---|
--gene | Yes, unless --demo is used | IL6R | Gene or target symbol |
--disease | No | coronary artery disease | Optional disease context |
--output | Yes | demo_out | Output directory |
--max-papers | No | 5 | Number of PubMed hits to include |
--max-trials | No | 5 | Number of trial records to include |
--demo | No | --demo | Runs the built-in demo query |
python skills/omics-target-evidence-mapper/omics_target_evidence_mapper.py --demo --output demo_out