2,728 件 ・ 関連度順
概要と使いどころ
Discover evidence-backed customer language, pain points, objections, and buying triggers from relevant Reddit communities. Use when asked for Reddit research, voice-of-customer analysis, audience pain points, product feedback, or community-led content opportunities.
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。
Research public companies and listed securities with current market, company, ownership, and filing data through SandBase. Use for ticker analysis, price-performance comparisons, insider activity, or an evidence-backed investment research brief; do not use for trade execution or personalized financial advice.
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。
Research and evaluate seo competitor analysis with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for seo competitor analysis findings or 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。
Build evidence-backed SEO keyword insights and strategy using SandBase-managed search, keyword, site-analysis, and SERP capabilities. Use when asked to discover or prioritize keywords, assess search demand or ranking feasibility, map intent and topics, find competitor gaps, plan organic-search landing pages or content, or analyze a website's SEO opportunities.
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 or review marketing ideas deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for marketing ideas work.
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。
Research and evaluate microsoft docs with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for microsoft docs findings or 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。
Research and evaluate microsoft code reference with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for microsoft code reference findings or 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。
Research and evaluate hacker news front page with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for hacker news front page findings or 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。
Create or review marketing psychology deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for marketing psychology work.
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 or review grammar check deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for grammar check work.
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 or review humanizer deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for humanizer work.
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 or review copy editing deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for copy editing work.
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。
Research and evaluate database lookup with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for database lookup findings or 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。
Create or review ai seo deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for ai seo work.
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。
Research and evaluate backlink analysis with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for backlink analysis findings or 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。
Create or review alternative blog writer deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for alternative blog writer work.
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 or review comparison article writer deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for comparison article writer work.
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。
Search, extract, and compare high-quality public sources with Exa through SandBase. Use when asked for deep web research, source discovery, current evidence, topic investigation, company research, or citation-ready findings.
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。
Research and evaluate github gem seeker with current authoritative sources, provenance, and explicit evidence gaps. Use when the user asks for github gem seeker findings or 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。
Create or review churn prevention deliverables with audience, evidence, voice, and conversion-quality controls. Use when the user explicitly asks for churn prevention work.
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。
Queries ClinVar for variant pathogenicity classifications, ClinGen VCEP curations, and somatic-vs-germline interpretations via REST API, weekly VCF, or bulk XML. Use when determining clinical significance, triangulating conflicting interpretations, or aggregating evidence against the ACMG/AMP framework with ClinGen SVI specifications.
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。
Project gene annotations across genomes using TOGA (Kirilenko 2023 whole-genome-alignment chain-based projection with intactness classification), CESAR 2.0 (Sharma & Hiller 2017 codon-aware exon projection), LiftOff (Shumate & Salzberg 2020 reference-based annotation transfer), Liftover (UCSC), GeMoMa (Keilwagen 2019 evidence-based projection), and Comparative Annotation Toolkit (CAT). Use when transferring annotations from a well-annotated reference to query genome(s), classifying gene-loss vs gene-intact across many genomes at scale, building Zoonomia-style comparative annotations across hundreds of mammals or birds (Kirilenko 2023), detecting pseudogenization, projecting alternative isoforms, or selecting between WGA-anchored (TOGA) vs ortholog-based (LiftOff) annotation transfer strategies.
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。
End-to-end post-GWAS causal inference pipeline orchestrating heritability partitioning, genetic correlation, Mendelian randomization with CHP-aware sensitivity (CAUSE / LHC-MR), colocalization, fine-mapping with SuSiE / FOCUS, mediation, TWAS triangulation, cis-pQTL drug-target MR, effector-gene prioritization (L2G / PoPS / cS2G), and GenomicSEM common-factor GWAS. Use when triangulating causal inference across multiple complementary methods, prioritizing tissues via stratified LDSC, nominating or de-risking drug targets, mapping a lead SNP to a candidate effector gene, modeling shared genetic architecture across correlated traits, or producing a STROBE-MR-compliant publication-grade evidence battery from GWAS summary statistics.
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。
Query OpenTargets for drug targets, disease associations, and therapeutic evidence. Use when user asks about drug targets, disease mechanisms, target validation, or drug-disease associations. Triggers on "opentarget", "drug target", "target validation", "disease association", "therapeutic target", "drug for disease".
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。