23건 · 관련도순
Find alternative words and phrases that fit a sentence, audience, and tone. Suggestions distinguish close synonyms from related expressions, explain differences in meaning or formality, and include brief usage examples when helpful.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Add map search categories and synonyms with multilingual names, optional emoji, and rules for when suggestions appear. Coordinate related files for categories shown on the search screen, then sort language entries and run relevant tests.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Configure platform-level global search in a Salesforce org — per-object Search Layouts (Search Results, Lookup Dialogs, Lookup Phone Dialogs, Tab columns), the Setup → Search Settings page (Sidebar Search, Lookup Auto-Completion, Drop-Down List size), and Synonym Groups (Setup → User Interface → Synonyms). NOT for Einstein Search personalization signals or Natural Language Search (use agentforce/einstein-search-personalization), NOT for Experience Cloud site Search Manager (use lwc/experience-cloud-search-customization), NOT for SOSL query authoring (use data/sosl-search-patterns), NOT for Commerce storefront search tuning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Retrieve concise Genebass summaries linking a selected gene's variant group to traits across a broad association scan. Specify one Ensembl gene ID, choose a variant group, and control result counts, with optional JSON output.
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Add business knowledge missing from a Wren project's database definitions. Compare source documents with existing context, then add explanations, rules, SQL examples, and proposed metrics through guided questions or an automatic mode with an audit report.
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Build a reliable Algolia indexing pipeline for full replacements, incremental updates, settings, synonyms, and rules. Use when a source of truth must publish deterministic search state. Trigger with "Algolia indexing workflow", "replace index records", or "sync Algolia".
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Builds professional search strategies for PubMed, Embase, Web of Science, and similar databases. Use when a user needs to construct a MeSH-based Boolean query, design a systematic review search, expand a concept with synonyms, apply study-type or date filters, or adapt a query across multiple databases. Also triggers when the user says "help me search for papers on X", "build a search strategy", "what are the MeSH terms for", or "I need a systematic review search string".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build boolean and X-ray search strings to source candidates. Use when asked to build a boolean search, source candidates on LinkedIn/Google, write an X-ray search, or find people with specific skills. Produces ready-to-paste boolean strings (with synonyms, must-haves, and exclusions), X-ray variants for LinkedIn/GitHub, and a refinement plan to widen or narrow the result set.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Search runtime and scene management: verify queries, inspect scenes, debug app readiness, and diagnose recall or scene-config issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Normalize terminology across a draft (canonical terms + synonym policy) without changing citations or meaning.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expand and refine search keywords (synonyms, acronyms, exclusions) and update `queries.md`.
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Query IUPHAR/BPS Guide to Pharmacology (GtoPdb) for receptor-ligand interactions, target/ligand metadata, families, and approved drugs. Affinities (pKi/pIC50/pKd), action (Agonist/Antagonist/etc.), species, structures (SMILES/InChI). No auth. Always resolve targets via geneSymbol/accession; most metadata lives in sub-resources (/databaseLinks, /structure, /synonyms).
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Query PubChem (110M+ compounds) directly via the PUG-REST/JSON API with plain `requests` — no SDK install required. Search by name/CID/SMILES/InChIKey/formula, retrieve properties (MW, XLogP, TPSA, H-bond counts), do similarity/substructure searches with async ListKey polling, fetch synonyms, descriptions, assay summaries, and download SDF/PNG. For local cheminformatics use rdkit; for bioactivity-centric workflows use chembl-database-bioactivity.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze codon usage, calculate CAI (Codon Adaptation Index), and examine synonymous codon bias using Biopython. Use when analyzing coding sequences for expression optimization or evolutionary analysis.
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Print the localhost URL for The Luminarium — moflo's daemon dashboard — for the current project. Use when the user asks for "the luminarium link", "the moflo dashboard", "the daemon UI", or anything synonymous. Each project gets a deterministic port in 33000–33999; the actual bound port is recorded in `.moflo/daemon.lock`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze codon usage and calculate CAI (Codon Adaptation Index), RSCU, and Nc with Biopython, and produce naive max-CAI codon-optimized sequences. Use when scoring a gene's codon bias against a host, optimizing a CDS for heterologous expression, or studying synonymous codon selection.
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Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Universeller Skill für LLM-Navigation, Orientierung und Ausfallsicherheit. Stellt aktives Wayfinding, Selbstorientierung und Wiederherstellungsheuristiken bereit, wenn Agenten mit Kontextdrift, fehlschlagenden Werkzeugen, Schleifen oder Sackgassen konfrontiert sind. Enthält die synonymen Strategien survival-routing, dead-reckoning, pathfinder-routing und celestial-routing.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Algolia Deep — advanced Algolia search platform management including indices, search analytics, A/B tests, query rules, synonyms, API key audit, and infrastructure monitoring. Covers search performance metrics, relevance tuning, click-through analysis, indexing health, and usage quota tracking.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when working with Algolia — algolia index management, search relevance tuning, analytics review, and configuration optimization. Covers index settings, ranking criteria, faceting configuration, synonyms, rules, API key management, and usage quotas. Read this skill before any Algolia operations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.