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概要と使いどころ
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
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Enumerates virtual chemical libraries via reaction SMARTS transformations using RDKit and Reaction templates, with explicit handling of atom mapping, template extraction (RDKit reaction mining), product validation, RECAP/BRICS fragmentation, R-group decomposition, matched molecular pair analysis (MMPA), and Free-Wilson analysis. Use when generating combinatorial libraries from building blocks, enumerating analog series, deriving structure-activity rules, or extracting transformations from reaction data.
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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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Biological knowledge: query curated assertions and reference databases for genes, variants, pathways, regulation, cell types, reference atlases, perturbation-derived relationships, phenotypes, therapeutic targets, drugs, interactions, annotations, signatures, compounds, and predicted structures. Use for identifiers, marker sets, gene sets, associations, ontologies, database facts, and cross-database coverage.
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Review code changes adversarially using parallel review layers (Blind Hunter, Edge Case Hunter, Acceptance Auditor) with structured triage into actionable categories. Use when the user says "run code review" or "review this code"
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Validate and analyze budgets for SCF Build Award submissions. Use when reviewing whether a submission's budget is proportional, justified, and well-structured based on patterns from 215 funded Build Awards.
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Start a new OpenSpec change using the experimental artifact workflow. Use when the user wants to create a new feature, fix, or modification with a structured step-by-step approach.
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。
Author and diagnose YAML, prototype schemas, workflows, manifests, and structured configuration with exact validation.
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。
Discover and reuse owner resource structure, then validate paths, RSI, audio, maps, attribution, and localization companions.
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。
Initialize project harness — AGENTS.md as table of contents, ARCHITECTURE.md as domain map, structured docs/ knowledge base
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。
Restructure existing code while preserving observable behavior. Use for targeted technical debt or hotspot work with characterization tests.
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。
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.
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When the user wants to create, optimize, or analyze a referral program, affiliate program, or word-of-mouth strategy. Also use when the user mentions 'referral,' 'affiliate,' 'ambassador,' 'word of mouth,' 'viral loop,' 'refer a friend,' or 'partner program.' This skill covers program design, incentive structure, and growth optimization.
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。
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup.
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。
Structured bug diagnosis and fixing workflow — reproduce, diagnose root cause, apply minimal fix, write regression test, and scan for similar patterns
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。
Design model serving infrastructure for AI. TRIGGERS - Use when user needs help with ai-model-serving related tasks.
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。
Build entity extraction systems for structured data from text. TRIGGERS - Use when user needs help with ai-entity-extractor related tasks.
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。
Design affiliate and referral programs with commission structures and partner materials. TRIGGERS - Use when user wants to create an affiliate program, referral system, or partner program.
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。
Design after-school program activities and structure. TRIGGERS - Use when user needs help with after-school-program related tasks.
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。
Outline academic papers with structure and arguments. TRIGGERS - Use when user needs help with academic-paper-outline related tasks.
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。
Generate CSV, Markdown, and XLSX spreadsheets from structured tabular data.
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。
Extract structured fields from w-2 documents.
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。
Extract structured fields from zatca e-invoice documents.
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。