'smil' 검색 결과

Run the full speckit workflow end-to-end — specify, plan, critique, tasks, implement, review — making all decisions autonomously. Stops before extract; run that manually.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AiZynthFinder retrosynthetic route planning (CASP) from AstraZeneca Molecular AI. Monte Carlo tree search guided by a template-based neural expansion policy recursively disconnects a target SMILES until precursors are found in a purchasable stock. Covers config.yml (v4 format), aizynthcli batch screening, the AiZynthFinder/AiZynthExpander Python API, one-step disconnections, custom stocks via smiles2stock, scorers, Retro*/breadth-first/DFPN search alternatives, and reading output.json.gz / trees.json. Use for synthesis route planning, synthesizability screening, and building-block/precursor search. For reaction barriers use neb-irc-activation-energy; for 2D reaction scheme drawing use rdkit-chemdraw-cdxml.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Cheminformatics toolkit for fine-grained molecular control. Parse and write SMILES, SDF, MOL and InChI; compute descriptors (MW, LogP, TPSA, QED, Bertz); build fingerprints (Morgan/ECFP, RDKit, MACCS, atom pair, torsion) and score Tanimoto, Dice or cosine similarity; run SMARTS substructure search and reaction SMARTS; generate 2D depictions and ETKDG 3D conformers; extract Murcko scaffolds and canonical hashes; control sanitization and stereochemistry directly. Also trigger on rdkit, Chem.MolFromSmiles, rdFingerprintGenerator, SDMolSupplier, SMARTS query, ETKDG, or FilterCatalog. For standard workflows with a simpler interface use the datamol skill, which wraps RDKit; use rdkit for advanced control, custom sanitization, and specialized algorithms.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the full speckit workflow end-to-end — specify, plan, critique, tasks, implement, review — making all decisions autonomously. Stops before extract; run that manually.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the speckit preparation phases end-to-end — specify, plan, critique, tasks — making all decisions autonomously. Stops before implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract knowledge, guidelines, and ADRs from one or more completed spec directories into the project documentation system.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the speckit implementation phase chunk-by-chunk in clean-context subagents, then review, then produce a final report. Picks up from an existing tasks.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produce a flow-level summary of the current Claude Code session — executive summary, chronological timeline, and outcomes — written into the active feature directory next to spec.md / plan.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the speckit preparation phases end-to-end — specify, plan, critique, tasks — making all decisions autonomously. Stops before implementation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the speckit implementation phase chunk-by-chunk in clean-context subagents, then review, then produce a final report. Picks up from an existing tasks.md.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run the full speckit workflow end-to-end — specify, plan, critique, tasks, implement, review — making all decisions autonomously. Stops before extract; run that manually.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extract knowledge, guidelines, and ADRs from one or more completed spec directories into the project documentation system.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

AiZynthFinder retrosynthetic route planning (CASP) from AstraZeneca Molecular AI. Monte Carlo tree search guided by a template-based neural expansion policy recursively disconnects a target SMILES until precursors are found in a purchasable stock. Covers config.yml (v4 format), aizynthcli batch screening, the AiZynthFinder/AiZynthExpander Python API, one-step disconnections, custom stocks via smiles2stock, scorers, Retro*/breadth-first/DFPN search alternatives, and reading output.json.gz / trees.json. Use for synthesis route planning, synthesizability screening, and building-block/precursor search. For reaction barriers use neb-irc-activation-energy; for 2D reaction scheme drawing use rdkit-chemdraw-cdxml.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Screen compound libraries for drug discovery using drug-likeness guidelines, structural alerts that flag patterns for review, and molecular complexity measures. Combine criteria to shortlist candidates and retain filtering results with reasons for further assessment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Screen compound libraries with drug-likeness rules
• Flag PAINS and other structures for review
• Combine property, structure, and complexity filters

Analyze crypto derivatives for research and backtesting using perpetual funding payments, futures prices across expiry dates, and options volatility. Organize market metrics, compare strategy candidates, and outline risks such as margin shortages, funding reversals, and exchange failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching funding-rate arbitrage
• Comparing futures prices across expiry dates
• Analyzing options volatility and price sensitivity

Create original SVG illustrations with expressive cartoon characters, bold ink outlines, and a prominent prop. Use the transparent artwork for onboarding, empty states, success screens, blog headers, or marketing cards, with checks for consistent styling and believable hands.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Illustrations for onboarding screens
• Character artwork for empty states and error pages
• Celebratory illustrations for success screens

Predict structures of protein, nucleic acid, and small-molecule complexes with ESMFold2, using single sequences or aligned related sequences. The skill also covers ESMC models for numerical sequence representations, mutation scoring, and predictions of contacts between residues.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Predicting complex structures from single sequences
• Assessing designed binders with ESMFold2-Fast
• Predicting structures using aligned related sequences