「sse」の検索結果

Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

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。

Assigns honest lipid annotation levels, designs class-based internal-standard quantification, and runs lipid-aware differential and enrichment analysis with lipidr, guarding against in-source-fragment phantoms, sn-position over-claims, and invalid cross-class quantification. Use when naming or canonicalizing lipid species (shorthand separators, Goslin), deciding shotgun vs RP vs HILIC LC-MS, picking internal standards (SPLASH/EquiSPLASH), interpreting MS-DIAL/LipidSearch output, or comparing lipid classes. For general feature detection see metabolomics/xcms-preprocessing and metabolomics/msdial-preprocessing; for non-lipid annotation confidence see metabolomics/metabolite-annotation; for normalization/QC see metabolomics/normalization-qc; for multivariate stats see metabolomics/statistical-analysis.

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。

Performs retrosynthetic planning using AiZynthFinder (MCTS, template-based), Chemformer (template-free transformer), ASKCOS, and emerging RetroSynFormer with explicit handling of route scoring, building-block availability (eMolecules, Enamine, Mcule), forward prediction validation (Molecular Transformer), and disconnection-aware multi-objective search (MO-MCTS). Use when assessing synthetic feasibility of generated or selected molecules, planning multi-step syntheses, building synthesis-aware design pipelines, or screening libraries for retro-route feasibility.

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。

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.

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。

Use to process automated PR review feedback (Copilot, Greptile, Codex) and iterate until all AI threads are addressed, checks are green, and the PR is merge-ready. Trigger when the user says "address review feedback", "recycle reviews", or references an automated reviewer.

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。

Stellar smart contract development (Rust, soroban-sdk). Entry point with project setup, contract anatomy, and build/deploy workflow, routing to three companion files in this directory — development.md (storage/TTL, authorization, cross-contract calls, tokens, events, errors, upgrades, fees, troubleshooting), testing.md (unit, fuzz, property, fork, mutation, integration), and security.md (vulnerability classes, checklists, tooling, audits). Use when writing, testing, reviewing, securing, debugging, or shipping Stellar smart contracts, including anything the user calls "Soroban" — Soroban contracts, soroban-sdk, Soroban auth/storage/TTL errors, SEP-41 tokens, or SAC integration from contract code.

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 Stellar Community Fund (SCF) Build Award applications. Use when evaluating SCF submissions, covering project fit assessment, technical architecture evaluation, team readiness, traction validation, budget analysis, and funding recommendations.

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。

Help teams prepare materials for an SCF referral. Use when a team wants to approach a referrer (SCF Pilot, SDF staff, alumni who completed deliverables, ambassador, or ecosystem partner) with a strong package that makes it easy for the referrer to evaluate and endorse them. Covers the referral form fields, what referrers assess, and how to present your project for referral.

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。

Progressively activates todo tests one at a time, updates implementation code until each passes (verified via Wallaby), checks off matching design doc progress, then moves to the next—following the design doc as the single source of truth.

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。

Place contracts and behavior across authority, prediction, presentation, localization, and assembly boundaries.

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 SS14 components as serialized state in the correct assembly.

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。

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。

Integrate HTTP APIs, webhooks, external processes, retries, timeouts, caching, and secret-backed configuration safely.

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 edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

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。

Assess organizational AI maturity. TRIGGERS - Use when user needs help with ai-maturity-model 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 AI ethics frameworks with principles, review processes, and governance. TRIGGERS - Use when user needs help with ai-ethics-framework 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。

Audit existing processes for AI automation. TRIGGERS - Use when user needs help with ai-automation-audit 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 agency pitch processes. TRIGGERS - Use when user needs help with agency-pitch-process 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。

Plan agency businesses. TRIGGERS - Use when user needs help with agency-business-plan 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 AR tracking with aging and collection processes. TRIGGERS - Use when user needs help with accounts-receivable-tracker 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。

Optimize accounts payable processes. TRIGGERS - Use when user needs help with accounts-payable-optimization 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。

Optimize accounts receivable processes. TRIGGERS - Use when user needs help with accounts-receivable-optimization 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 aesthetics consultation processes. TRIGGERS - Use when user needs help with aesthetics-consultation 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。