skills/research/target-intelligence-tools/SKILL.md
Target research workflow guide for building compact drug-target dossiers across protein identity, disease evidence, known drugs, interaction partners, pathways, and variant constraint signals. Use when the user asks for a target brief, target validation snapshot, or a one-file summary of what is known about a gene or protein target.
npx skillsauth add drugclaw/drugclaw target-intelligence-toolsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use this skill when the user wants an integrated target brief rather than isolated API hits.
Typical triggers:
which python3 || true
python3 - <<'PY'
mods = ["requests"]
for name in mods:
try:
__import__(name)
print(f"{name}: ok")
except Exception as exc:
print(f"{name}: missing ({exc})")
PY
If outbound network access is blocked, say so explicitly before claiming the dossier ran.
templates/target_dossier.pypython3 templates/target_dossier.py \
--query EGFR \
--output targets/egfr_dossier.md \
--summary targets/egfr_dossier.json \
--detail-json targets/egfr_dossier.detail.json
Good answers should mention:
For raw UniProt, PDB, ClinVar, gnomAD, Reactome, STRING, or OpenTargets queries, activate bio-db-tools.
For public compound and regulatory APIs such as ChEMBL, BindingDB, openFDA, ClinicalTrials.gov, or OpenAlex, activate pharma-db-tools.
For local variant-callset summarization before target interpretation, activate variant-analysis-tools.
tools
Survival and time-to-event workflow guide for Kaplan-Meier summaries, log-rank tests, and Cox proportional hazards models with reproducible outputs. Use when the user asks for time-to-event analysis, censored data summaries, hazard ratios, or survival-group comparison for research datasets.
tools
Statistical modeling workflow guide for hypothesis tests, effect-size reporting, statsmodels regression, diagnostics, and structured result export. Use when the user asks for statistical test selection, OLS or logistic regression, coefficient tables, inference, or reproducible statistical summaries for scientific datasets.
tools
Research-method workflow guide for hypothesis framing, peer-review style critique, reproducibility planning, study-design checks, and scientific-writing structure. Use when the user asks for manuscript critique, research-gap framing, hypothesis generation, reproducibility checklists, or study-planning support that should stay on the research side rather than patient-care decisions.
tools
Scientific visualization workflow guide for publication-ready static figures with seaborn or matplotlib and interactive figures with Plotly. Use when the user asks for scientific plots, cohort or assay figures, publication graphics, dashboards, or reusable plotting scripts for research datasets.