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Parse small benchmark markdown tables from paper notes and summarize datasets, metrics, and best-performing methods.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Use this skill to search the current ClinicalTrials.gov v2 API for condition or keyword matches when you need official clinical-study metadata. Do not use it for legacy API URLs or offline work.
Use this skill to resolve a gene symbol to Ensembl IDs and fetch a canonical Ensembl gene record. Do not use it for full transcript annotation pipelines or offline work.
Use this skill to search NCBI Gene by symbol and organism, then fetch compact official Entrez Gene summaries. Do not use it for variant interpretation, transcript-level modeling, or bulk offline annotation.
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Use this skill to verify the repo-managed nf-core tools install and retrieve a cleaned summary of available pipelines. Do not use it for interactive launch flows or full pipeline downloads.
| name | benchmark-table-mining-starter |
| description | Parse small benchmark markdown tables from paper notes and summarize datasets, metrics, and best-performing methods. |
Use this starter on locally prepared markdown notes that contain one or more benchmark tables.
The wrapper:
task, dataset, metric, model, and score when they existpython3 skills/scientific-knowledge/benchmark-table-mining-starter/scripts/run_benchmark_table_mining.py \
--input skills/scientific-knowledge/benchmark-table-mining-starter/examples/benchmark_note.md
For a broader Papers-with-Code-style note that includes an earlier non-leaderboard table, use:
python3 skills/scientific-knowledge/benchmark-table-mining-starter/scripts/run_benchmark_table_mining.py \
--input skills/scientific-knowledge/benchmark-table-mining-starter/examples/sample_benchmark_notes.md