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概要と使いどころ
Pharmacogenomics (PGx) research — drug-gene interactions (CPIC, PharmGKB), CPIC dosing guidelines, variant-drug-response associations, ethnic-allele-frequency considerations, and metabolizer-status scoring. Use for PGx-informed dosing recommendations, CYP/HLA pharmacogenomic allele interpretation, and clinically-actionable PGx report generation.
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Enzyme kinetics — Michaelis-Menten Km, Vmax, kcat (turnover), and kcat/Km (catalytic efficiency / specificity constant) from substrate-velocity data, plus inhibition-mechanism analysis (competitive / uncompetitive / non-competitive, Ki). Fits the MM equation by nonlinear regression (and reports Lineweaver-Burk for reference). Use when you have substrate concentrations and initial reaction velocities and need kinetic parameters or to classify an inhibitor. NOT for BRENDA database lookups of published constants (use the BRENDA tools).
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Drug and chemical toxicity assessment via adverse outcome pathways (AOPs), real-world FAERS adverse event signals, FDA labels, and toxicogenomic associations. Triangulates molecular initiating event to cellular outcome to organ-level toxicity to clinical adverse event. Use for hepatotoxicity/cardiotoxicity/nephrotoxicity prediction and toxicology reports.
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Drug regulatory and approval research — FDA substance registry, ATC/EPC classification, EMA decisions, generic-drug status, FDA Orange Book exclusivity, NDA/BLA pathways. Use for jurisdiction-aware approval status (FDA vs EMA), generic vs brand availability, exclusivity expiry tracking, and regulatory pathway selection. Always specifies the market when reporting status.
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Comprehensive drug profiling — mechanism, primary/secondary targets, drug interactions, clinical-trial status, adverse events (FAERS), pharmacogenomics, and approval history. Use for full drug investigation reports, 'tell me about drug X' queries, and assembling drug profiles for clinicians, researchers, or regulatory work.
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Trace drug mechanism of action — primary target → downstream signaling → pathway perturbation → tissue/organ effect → clinical outcome. Uses DrugBank, ChEMBL, KEGG, Reactome, STRING. Use for understanding how a drug works, identifying off-target effects, mechanism-based combination therapy design, and writing mechanism sections of reports.
日本語の概要は準備中です。原文の説明を表示しています。
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
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Experimental data: discover and acquire raw or near-raw measurements, sample-level observations, and reusable datasets from sequencing, transcriptomics, single-cell, perturbation, proteomics, metabolomics, genomics, and structural-biology repositories. Use for study or sample metadata, matrices, reads, spectra, experimental structures, and downloadable research artifacts—not curated database assertions or reference marker collections.
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Investigate errors, incidents, or product ideas using both internet research and repo-wide codebase research, then propose a concrete changeset plan with clarifying questions before any implementation. Use when a user asks to investigate, root-cause, or plan changes, or when an Issue or PR is referenced and needs a plan.
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Use every time you push a commit to an active pull request, to verify the PR is truly stable before reporting merge readiness. Covers the post-push wait window, AI review audit (Copilot/Greptile/Codex), and the gh commands to snapshot PR state. Trigger on "I pushed" or "is the PR ready to merge".
日本語の概要は準備中です。原文の説明を表示しています。
Configure and debug MCP servers for Claude Code, OpenCode, and Codex CLI, including auth headers, scope, and validation checks. Use when MCP tools fail to connect, when an MCP server returns 401/404/HTML, or when adding a new MCP server to this repo.
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Map the competitive landscape for a Stellar project idea. Use when a user says "who are my competitors on Stellar", "competitive analysis Stellar", "what already exists in this space on Stellar", "show me similar Stellar projects", "is anyone else building this on Stellar", or "map the Stellar landscape for X". Queries the 728-project LumenLoop ecosystem database and Electric Capital developer activity to rank competitors by SCF funding history and repo activity.
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Walk every branching path and boundary condition in content, report only unhandled edge cases. Orthogonal to adversarial review - method-driven not attitude-driven. Use when you need exhaustive edge-case analysis of code, specs, or diffs.
日本語の概要は準備中です。原文の説明を表示しています。
Keep inherited changes narrow, correctly marked, traceable, and easy to rebase across repository layers.
日本語の概要は準備中です。原文の説明を表示しています。
Prove repository ownership, module ownership, assembly boundaries, edit-marker rules, extension points, and test placement.
日本語の概要は準備中です。原文の説明を表示しています。
Plan, verify, implement, and deliver repository work through evidence-backed ownership and quality gates.
日本語の概要は準備中です。原文の説明を表示しています。
Review correctness, access, repository ownership, authority, localization, compatibility, resources, scope, and verification evidence.
日本語の概要は準備中です。原文の説明を表示しています。
Change projects, solution structure, CI, generated content, and packaging with repository-correct ownership and exact commands.
日本語の概要は準備中です。原文の説明を表示しています。
Write repository-consistent C# only after proving symbol access, ownership, and compatibility.
日本語の概要は準備中です。原文の説明を表示しています。
Write concise technical guidance, PR notes, architecture explanations, and reproducible verification reports.
日本語の概要は準備中です。原文の説明を表示しています。
Port one complete feature family with provenance, current-API adaptation, repository ownership, localization, resources, and verification.
日本語の概要は準備中です。原文の説明を表示しています。
Manage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.
日本語の概要は準備中です。原文の説明を表示しています。
Create, manage, and track execution plans as first-class repository artifacts in docs/exec-plans/
日本語の概要は準備中です。原文の説明を表示しています。
Check documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.
日本語の概要は準備中です。原文の説明を表示しています。