Analyze Google Search Console exports or authorized API data to prioritize page improvements. Use for traffic changes, page/query opportunities, indexing evidence, and deciding when to leave recently edited or weakly supported pages alone.
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。
davepoon/buildwithclaude☆ 3,6372026年10月14日 更新
Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code. Say 'check with codex' or 'ask gemini for a second opinion' and Claude runs the other agent, keeps a topic-aware session, and critiques the result.
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。
davepoon/buildwithclaude☆ 3,6372026年10月14日 更新
Schedule, publish and analyze social posts across 15 networks via BulkPublish (MCP or REST) — Facebook, Instagram, X, TikTok, YouTube, Threads, Bluesky, Pinterest, Google Business, LinkedIn, Mastodon, Discord, Telegram, Tumblr, Snapchat. Use when the user wants to post, schedule, or bulk-publish to social media, check connected channels, or read post analytics. Always check platform rules before composing.
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。
davepoon/buildwithclaude☆ 3,6372026年10月14日 更新
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
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。
davepoon/buildwithclaude☆ 3,6372026年10月14日 更新
Provides open source intelligence techniques for CTF challenges. Use when gathering information from public sources, social media, geolocation, DNS records, username enumeration, reverse image search, Google dorking, Wayback Machine, Tor relays, FEC filings, or identifying unknown data like hashes and coordinates.
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。
ljagiello/ctf-skills☆ 3,4512026年9月14日 更新
Generic read-only fallback for sources opencli supports but no dedicated skill covers: finance sites (Yahoo Finance, Bloomberg, Reuters, Barchart, Eastmoney, Xueqiu, Sinafinance), communities (Reddit, HackerNews, Weibo, Zhihu, Xiaohongshu, Bilibili), newsletters and blogs (Substack, Medium), research (arXiv, Google Scholar), podcasts and video (Apple Podcasts, Xiaoyuzhou, Spotify, YouTube), Weixin, Amazon, and more. Use it when the user asks to read or fetch from such a site — for example r/wallstreetbets, the HackerNews front page, Eastmoney hot stocks, the Xueqiu feed, Bloomberg markets headlines, or an arXiv search — or says "use opencli to read". Prefer twitter-reader, linkedin-reader, discord-reader, telegram-reader, or yc-reader when the source matches. Read-only: never runs write 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。
himself65/finance-skills☆ 3,4092026年10月11日 更新
Retrieve protein and nucleotide sequences from NCBI databases using E-utilities. Supports direct accession lookup, CDS translation, gene+organism search, locus lookup, PubMed-linked sequences, patent protein extraction, and organism+length fallback search. Use when you need to fetch biological sequences by accession, gene name, locus tag, PubMed ID, or patent number.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Use when you want to search for or download experimentally-determined 3D structures for biomolecules (proteins, nucleic acids, bound ligands). Supports searching by sequence similarity, structure similarity, chemical and other attributes. Also use to get metadata about biomolecular structure experiments.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query PubChem, search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics. Use when a user asks about a specific chemical, drug, or molecule.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query the ENCODE Registry of cis-Regulatory Elements (cCREs) via the SCREEN GraphQL API, or make custom queries to the ENCODE Portal REST API for experiments and files (ChIP-seq peaks, etc.). Use when you want to query regulatory annotations or raw experimental data across human cell types.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Constructs deep-links and URLs for the AlphaGenome Atlas website. Supports generating single-variant exploration links (1-based chr:pos:ref>alt), genomic locus views (1-based closed chr:start-end), candidate summary tables, and AlphaGenome reference vs. alternate predictions. Use whenever visualizing, exploring, charting, or linking genetic variants and genomic loci on the AlphaGenome Atlas, or when asked to inspect, view, or link predictions for a genomic variant.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Use when needing clinical significance, pathogenicity classifications (e.g., Pathogenic, Benign, VUS), clinical evidence rationales, or finding "hard positive" benchmark controls for human genomic variants.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query ClinicalTrials.gov via APIv2. Use when you want to search for trials by condition, drug, location, status, or phase; retrieve trial details by NCT ID; check eligibility/inclusion criteria; count trials across conditions or time periods; identify a sponsor's trial portfolio; find recruiting trials for patient matching.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API. Use when the user asks about non-coding variant effects, pathogenicity, clinical significance, disease associations, functional effects, gene expression changes, splicing disruption, or regulatory effects in promoters and enhancers. Also use for resolving biological terms to tissue/cell-type ontologies (UBERON/CL) or analyzing variants in chr:pos:ref>alt format.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Use when you want to retrieve quantitative RNA expression data and variant eQTL information from the GTEx (Genotype-Tissue Expression) Project across 54 non-diseased tissue sites.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Performs multiple sequence alignment of proteins with EBI Clustal Omega. Use when you need to align multiple sequences to assess similarity, domain conservation, or key residue conservation. Supports up to 4000 sequences and a maximum file size of 4 MB. Do not use to search for homologous proteins in a database (use MMseqs2, BLAST), align non-protein sequences (DNA, RNA), perform structural alignment (use Foldseek, PyMOL), or if you only have a single sequence.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query the Reactome database (Analysis and Content Services). Use when the user asks about pathway analysis, gene list enrichment, retrieving results by token, finding unmapped or not-found identifiers, mapping identifiers, reaction participants (inputs, outputs), pathway hierarchy (including top-level pathways), diagram export, cross-reference mapping, or searching the knowledgebase.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Ancient text restoration, attribution, dating, contextualization, and embedding via Aeneas (Latin) / Ithaca (Ancient Greek). Use when asked to "restore", "attribute", "date", "contextualize", "find parallels", "where was it written", "when was it written", "embed", or "analyze" an ancient text, inscription, or epigraphic document, or when the user mentions "Aeneas", or "Ithaca".
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Use when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database. Resolves between rsIDs, genomic coordinates in VCF format, and HGVS strings. For an rsID, returns variant type, gene associations, clinical significance, allele frequencies, and genomic coordinates (GRCh38).
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query and search the EMBL-EBI Ontology Lookup Service (OLS) for biomedical ontology terms, definitions, and hierarchies across 250+ ontologies (e.g., GO, DOID, HP). Use when the user asks to search for terms, retrieve details, navigate hierarchies (parents, children, ancestors), look up properties and individuals, get autocomplete suggestions, or access ontology metadata and 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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Query the STRING database for protein-protein interactions (PPIs), functional enrichment, and homology. Use when the user asks about interactions between specific proteins, interaction evidence, confidence scores, protein interaction partners, or pathway enrichments.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Distills a completed user workflow or interaction into a reusable agent skill. Use when the user asks to turn their workflow, interaction, or multi-step process into a skill, or when they say "make this a skill", "create a skill from what we just did", "package this workflow" or similar. Do not use for creating skills from scratch without an existing workflow (use a generic skill-creator for that).
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新
Identify domains, families, and sites in proteins; find all proteins in a family or sharing a domain; explore species distribution for a domain; annotate genomes with protein families and GO terms. InterPro combines 14 databases (e.g., Pfam, CDD) into one searchable resource. InterPro-N significantly expands annotation and sequence coverage with deep learning. Includes domain architecture (IDA) search.
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。
google-deepmind/science-skills☆ 3,2652026年10月10日 更新