[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-google-deepmind-literature-search-europepmc":3,"mdc--t4ssvt-key":33,"related-org-google-deepmind-literature-search-europepmc":2309,"related-repo-google-deepmind-literature-search-europepmc":2479},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"literature-search-europepmc","search and download scientific literature from Europe PMC","Search Europe PMC for scientific literature and download open-access full texts and PDFs. Retrieve full-text XML\u002Fplain text by PMCID, get citation lists and bibliography.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"google-deepmind","Google DeepMind","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fgoogle-deepmind.png",[12,16,19],{"name":13,"slug":14,"type":15},"Research","research","tag",{"name":17,"slug":18,"type":15},"PDF","pdf",{"name":20,"slug":21,"type":15},"PubMed","pubmed",2333,"https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fscience-skills","2026-07-12T07:51:50.499997",null,234,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":30},[],"GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.","https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fscience-skills\u002Ftree\u002FHEAD\u002Fskills\u002Fliterature_search_europepmc","---\nname: literature-search-europepmc\ndescription: >\n  Search Europe PMC for scientific literature and download open-access full\n  texts and PDFs. Retrieve full-text XML\u002Fplain text by PMCID, get citation\n  lists and bibliography.\n---\n\n# Europe PMC Database\n\nA skill for searching, downloading, and exploring open-access papers from\n[Europe PMC](https:\u002F\u002Feuropepmc.org\u002F) — a comprehensive, free life-science\nliterature database with over 43 million abstracts and 9 million full-text\narticles.\n\n## Prerequisites\n\n1.  **`uv`**: Read the `uv` skill and follow its Setup instructions to ensure\n    `uv` is installed and on PATH.\n2.  **User Notification**: If .licenses\u002Fliterature_search_europepmc_LICENSE.txt\n    does not already exist in the workspace root directory then (1) prominently\n    notify the user to check the terms at https:\u002F\u002Feuropepmc.org\u002F and to always\n    check the license of the papers retrieved by the skill for any restrictions,\n    then (2) create the file recording the notification text and timestamp.\n\n## Core Rules\n\n-   **Open Access Only**: This skill exclusively searches open-access content.\n    The script automatically appends `OPEN_ACCESS:y` to every search query. Do\n    NOT remove or override this filter.\n-   **NEVER run python3 or python3 -c directly**: the system Python does not\n    necessarily have all key dependencies. Do not attempt to pip install or\n    create new venvs.\n-   **Use the Wrapper**: ALWAYS use the provided script rather than calling the\n    API directly. The script handles rate limiting (1 req\u002Fs) and errors.\n-   **Output Files**: All subcommands require `--output` to write results to a\n    file. Read the output file separately to avoid context overflow.\n-   **List Sources.** If this skill is used, ensure this is mentioned in the\n    output AND list the URLs of all papers that were used in producing the\n    output.\n\n## Utility Scripts\n\nAll commands are subcommands of `scripts\u002Feuropepmc_api.py`. Rate limiting and\nretries are handled automatically.\n\n### 1. Search (`search`)\n\nSearch Europe PMC by query. Supports DOI lookup, keyword search, author search,\nPMID lookup, and the full\n[Europe PMC search syntax](https:\u002F\u002Feuropepmc.org\u002Fsearchsyntax).\n\n```bash\n# Look up a paper by DOI\nuv run scripts\u002Feuropepmc_api.py search \"DOI:10.1038\u002Fs41586-021-03819-2\" --output result.json\n\n# Keyword search\nuv run scripts\u002Feuropepmc_api.py search \"CRISPR cancer\" --max_results 5 --output results.json\n\n# Author search\nuv run scripts\u002Feuropepmc_api.py search \"AUTH:Jumper J\" --max_results 10 --output results.json\n\n# PMID lookup\nuv run scripts\u002Feuropepmc_api.py search \"EXT_ID:34265844 AND SRC:MED\" --output result.json\n\n# Sorted by citations\nuv run scripts\u002Feuropepmc_api.py search \"machine learning\" \\\n  --sort \"CITED desc\" --max_results 20 --output results.json\n```\n\n**Arguments:**\n\n-   `query` (str, required) — search query using Europe PMC syntax\n-   `--output` (str, required) — output JSON file path\n-   `--max_results` (int, default 10) — maximum results per page (max 1000)\n-   `--result_type` (str, default `core`) — `core` (full metadata) or `lite`\n-   `--cursor` (str, default `*`) — cursor mark for pagination; pass the\n    `nextCursorMark` value from a previous response to get the next page\n-   `--sort` (str) — sort order, e.g. `CITED desc`, `P_PDATE_D desc`\n    (publication date descending), `P_PDATE_D asc`\n\n**Output:** JSON file with three fields:\n\n-   `hitCount` (int) — total number of matching articles\n-   `nextCursorMark` (str) — cursor for next page; empty string if no more pages\n-   `results` (list) — array of article metadata objects\n\n**Search Syntax Quick Reference:**\n\n-   `DOI:10.xxxx\u002Fyyyy` — look up by DOI\n-   `EXT_ID:12345678 AND SRC:MED` — look up by PMID\n-   `AUTH:surname initials` — author search\n-   `TITLE:keyword` — search in title only\n-   `JOURNAL:name` — search by journal\n-   `PUB_YEAR:2024` or `(FIRST_PDATE:[2023-01-01 TO 2023-12-31])` — date filter\n-   `HAS_FT:y` — restrict to articles with full text in Europe PMC\n-   Boolean operators: `AND`, `OR`, `NOT`\n\n> **Note**: `OPEN_ACCESS:y` is automatically appended to all queries. You do not\n> need to add it manually.\n\n### 2. Download PDF (`download_pdf`)\n\nDownload an open-access PDF from Europe PMC by PMCID.\n\n```bash\nuv run scripts\u002Feuropepmc_api.py download_pdf PMC8371605 --output alphafold.pdf\n```\n\n**Arguments:**\n\n-   `pmcid` (str, required) — PubMed Central ID (e.g., `PMC8371605`)\n-   `--output` (str, required) — filepath to save the PDF\n\n**Output:** Saves the PDF to the specified file. Exits with an error if the\nPMCID is not found or the response is not a valid PDF. Whenever you download a\nPDF, check the pdf downloaded is not empty or corrupted.\n\n### 3. Get Full Text (`get_fulltext`)\n\nRetrieve the full text of an open-access article and save to a file. Returns\nplain text (XML tags stripped) by default, or raw XML with `--format xml`.\n\n```bash\n# Get plain text (default)\nuv run scripts\u002Feuropepmc_api.py get_fulltext PMC8371605 --output fulltext.txt\n\n# Get raw XML\nuv run scripts\u002Feuropepmc_api.py get_fulltext PMC8371605 --format xml --output fulltext.xml\n```\n\n**Arguments:**\n\n-   `pmcid` (str, required) — PubMed Central ID\n-   `--output` (str, required) — output file path\n-   `--format` (str, default `text`) — `text` (plain text) or `xml` (raw JATS\n    XML)\n\n**Output:** Full text written to the specified file. Exits with an error if the\narticle is not in the Europe PMC open-access subset.\n\n> **Important**: Only articles in the PMC Open Access Subset have full text\n> available. If retrieval fails, use `search` to check the `isOpenAccess` field\n> and fall back to the abstract.\n\n### 4. Get Citations (`get_citations`)\n\nRetrieve articles that cite a given paper.\n\n```bash\n# Get citations for the AlphaFold paper (PMID 34265844)\nuv run scripts\u002Feuropepmc_api.py get_citations MED 34265844 \\\n  --page_size 25 --output citations.json\n```\n\n**Arguments:**\n\n-   `source` (str, required) — source database: `MED` (PubMed), `PMC`, `PPR`\n    (preprints), `PAT` (patents)\n-   `article_id` (str, required) — article ID in the source database\n-   `--output` (str, required) — output JSON file path\n-   `--page` (int, default 1) — page number\n-   `--page_size` (int, default 25) — results per page\n\n**Output:** JSON file with `hitCount` and `citations` array.\n\n### 5. Get References (`get_references`)\n\nRetrieve the reference list (bibliography) of a given paper.\n\n```bash\n# Get references from the AlphaFold paper\nuv run scripts\u002Feuropepmc_api.py get_references MED 34265844 \\\n  --page_size 100 --output references.json\n```\n\n**Arguments:**\n\n-   `source` (str, required) — source database: `MED`, `PMC`, `PPR`, `PAT`\n-   `article_id` (str, required) — article ID in the source database\n-   `--output` (str, required) — output JSON file path\n-   `--page` (int, default 1) — page number\n-   `--page_size` (int, default 25) — results per page\n\n**Output:** JSON file with `hitCount` and `references` array.\n\n## Common Workflows\n\n### DOI to PDF\n\n```bash\n# Step 1: Search for the PMCID\nuv run scripts\u002Feuropepmc_api.py search \"DOI:10.1038\u002Fs41586-021-03819-2\" --output result.json\nPMCID=$(jq -r '.results[0].pmcid \u002F\u002F empty' result.json)\n\n# Step 2: Download the PDF\nuv run scripts\u002Feuropepmc_api.py download_pdf \"$PMCID\" --output paper.pdf\n```\n\n### PMID to Full Text\n\n```bash\n# Step 1: Find the PMCID from a PMID\nuv run scripts\u002Feuropepmc_api.py search \"EXT_ID:34265844 AND SRC:MED\" --output result.json\nPMCID=$(jq -r '.results[0].pmcid \u002F\u002F empty' result.json)\n\n# Step 2: Get the full text\nuv run scripts\u002Feuropepmc_api.py get_fulltext \"$PMCID\" --output fulltext.txt\n```\n\n### Citation Graph Traversal\n\n```bash\n# Find what papers cite a landmark study, then check their references\nuv run scripts\u002Feuropepmc_api.py get_citations MED 34265844 --page_size 50 --output citing.json\n# Parse a cited paper's PMID and explore its references\nuv run scripts\u002Feuropepmc_api.py get_references MED \u003CCITING_PMID> --output refs.json\n```\n\n### Search with Pagination\n\n```bash\n# First page\nuv run scripts\u002Feuropepmc_api.py search \"CRISPR\" --max_results 100 --output page1.json\n# Extract cursor for next page\nCURSOR=$(jq -r '.nextCursorMark \u002F\u002F empty' page1.json)\n# Next page\nuv run scripts\u002Feuropepmc_api.py search \"CRISPR\" --max_results 100 --cursor \"$CURSOR\" --output page2.json\n```\n",{"data":34,"body":35},{"name":4,"description":6},{"type":36,"children":37},"root",[38,47,64,71,123,129,199,205,218,233,247,613,621,746,756,791,799,912,933,946,951,992,999,1030,1039,1052,1064,1169,1176,1230,1239,1267,1280,1285,1356,1363,1450,1474,1487,1492,1560,1567,1638,1659,1665,1671,1829,1835,1982,1988,2109,2115,2303],{"type":39,"tag":40,"props":41,"children":43},"element","h1",{"id":42},"europe-pmc-database",[44],{"type":45,"value":46},"text","Europe PMC Database",{"type":39,"tag":48,"props":49,"children":50},"p",{},[51,53,62],{"type":45,"value":52},"A skill for searching, downloading, and exploring open-access papers from\n",{"type":39,"tag":54,"props":55,"children":59},"a",{"href":56,"rel":57},"https:\u002F\u002Feuropepmc.org\u002F",[58],"nofollow",[60],{"type":45,"value":61},"Europe PMC",{"type":45,"value":63}," — a comprehensive, 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Read the output file separately to avoid context overflow.",{"type":39,"tag":76,"props":190,"children":191},{},[192,197],{"type":39,"tag":80,"props":193,"children":194},{},[195],{"type":45,"value":196},"List Sources.",{"type":45,"value":198}," If this skill is used, ensure this is mentioned in the\noutput AND list the URLs of all papers that were used in producing the\noutput.",{"type":39,"tag":65,"props":200,"children":202},{"id":201},"utility-scripts",[203],{"type":45,"value":204},"Utility Scripts",{"type":39,"tag":48,"props":206,"children":207},{},[208,210,216],{"type":45,"value":209},"All commands are subcommands of ",{"type":39,"tag":84,"props":211,"children":213},{"className":212},[],[214],{"type":45,"value":215},"scripts\u002Feuropepmc_api.py",{"type":45,"value":217},". Rate limiting and\nretries are handled automatically.",{"type":39,"tag":219,"props":220,"children":222},"h3",{"id":221},"_1-search-search",[223,225,231],{"type":45,"value":224},"1. Search (",{"type":39,"tag":84,"props":226,"children":228},{"className":227},[],[229],{"type":45,"value":230},"search",{"type":45,"value":232},")",{"type":39,"tag":48,"props":234,"children":235},{},[236,238,245],{"type":45,"value":237},"Search Europe PMC by query. Supports DOI lookup, keyword search, author search,\nPMID lookup, and the full\n",{"type":39,"tag":54,"props":239,"children":242},{"href":240,"rel":241},"https:\u002F\u002Feuropepmc.org\u002Fsearchsyntax",[58],[243],{"type":45,"value":244},"Europe PMC search syntax",{"type":45,"value":246},".",{"type":39,"tag":248,"props":249,"children":254},"pre",{"className":250,"code":251,"language":252,"meta":253,"style":253},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","# Look up a paper by DOI\nuv run scripts\u002Feuropepmc_api.py search \"DOI:10.1038\u002Fs41586-021-03819-2\" --output result.json\n\n# Keyword search\nuv run scripts\u002Feuropepmc_api.py search \"CRISPR cancer\" --max_results 5 --output results.json\n\n# Author search\nuv run scripts\u002Feuropepmc_api.py search \"AUTH:Jumper J\" --max_results 10 --output results.json\n\n# PMID lookup\nuv run scripts\u002Feuropepmc_api.py search \"EXT_ID:34265844 AND SRC:MED\" --output result.json\n\n# Sorted by citations\nuv run scripts\u002Feuropepmc_api.py search \"machine learning\" \\\n  --sort \"CITED desc\" --max_results 20 --output results.json\n","bash","",[255],{"type":39,"tag":84,"props":256,"children":257},{"__ignoreMap":253},[258,270,321,331,340,393,401,410,460,468,477,518,526,535,574],{"type":39,"tag":259,"props":260,"children":263},"span",{"class":261,"line":262},"line",1,[264],{"type":39,"tag":259,"props":265,"children":267},{"style":266},"--shiki-light:#90A4AE;--shiki-light-font-style:italic;--shiki-default:#546E7A;--shiki-default-font-style:italic;--shiki-dark:#676E95;--shiki-dark-font-style:italic",[268],{"type":45,"value":269},"# Look up a paper by 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Use when you want to search for trials by condition, drug, location, status, or phase; retrieve trial details by NCT ID; check eligibility\u002Finclusion criteria; count trials across conditions or time periods; identify a sponsor's trial portfolio; find recruiting trials for patient matching.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2369,2372,2373],{"name":2370,"slug":2371,"type":15},"Clinical Trials","clinical-trials",{"name":2324,"slug":2325,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:52:06.846705",{"slug":2376,"name":2376,"fn":2377,"description":2378,"org":2379,"tags":2380,"stars":22,"repoUrl":23,"updatedAt":2389},"clinvar-database","retrieve clinical significance from ClinVar database","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.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2381,2384,2385,2388],{"name":2382,"slug":2383,"type":15},"ClinVar","clinvar",{"name":2336,"slug":2337,"type":15},{"name":2386,"slug":2387,"type":15},"Healthcare","healthcare",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:36.86094",{"slug":2391,"name":2391,"fn":2392,"description":2393,"org":2394,"tags":2395,"stars":22,"repoUrl":23,"updatedAt":2405},"credentials","manage and verify API credentials safely","Instructions for handling API keys and credentials safely, verifying their presence, and prompting the user to add them if missing using a safe protocol.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2396,2399,2402],{"name":2397,"slug":2398,"type":15},"Compliance","compliance",{"name":2400,"slug":2401,"type":15},"Operations","operations",{"name":2403,"slug":2404,"type":15},"Security","security","2026-07-12T07:52:17.355491",{"slug":2407,"name":2407,"fn":2408,"description":2409,"org":2410,"tags":2411,"stars":22,"repoUrl":23,"updatedAt":2418},"dbsnp-database","search genetic variants in dbSNP database","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).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2412,2413,2414,2417],{"name":2318,"slug":2319,"type":15},{"name":2336,"slug":2337,"type":15},{"name":2415,"slug":2416,"type":15},"NCBI","ncbi",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:33.054229",{"slug":2420,"name":2420,"fn":2421,"description":2422,"org":2423,"tags":2424,"stars":22,"repoUrl":23,"updatedAt":2430},"embl-ebi-ols","search biomedical ontologies in EMBL-EBI OLS","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.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2425,2426,2429],{"name":2318,"slug":2319,"type":15},{"name":2427,"slug":2428,"type":15},"Ontology","ontology",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:59.368324",{"slug":2432,"name":2432,"fn":2433,"description":2434,"org":2435,"tags":2436,"stars":22,"repoUrl":23,"updatedAt":2445},"encode-ccres-database","query ENCODE regulatory and experimental data","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.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2437,2438,2441,2442],{"name":2318,"slug":2319,"type":15},{"name":2439,"slug":2440,"type":15},"GraphQL","graphql",{"name":13,"slug":14,"type":15},{"name":2443,"slug":2444,"type":15},"REST API","rest-api","2026-07-12T07:52:10.597139",{"slug":2447,"name":2447,"fn":2448,"description":2449,"org":2450,"tags":2451,"stars":22,"repoUrl":23,"updatedAt":2456},"ensembl-database","query genomic and protein data from Ensembl","Query the Ensembl database to resolve gene, transcript, and protein IDs, fetch genomic or protein sequences, retrieve gene structures (exons), and get variant consequence and effect predictions (VEP). Use this skill as a primary ID translator, genomic sequence database and variant effect prediction tool.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2452,2453,2454,2455],{"name":2318,"slug":2319,"type":15},{"name":2336,"slug":2337,"type":15},{"name":2324,"slug":2325,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:51:41.645835",{"slug":2458,"name":2458,"fn":2459,"description":2460,"org":2461,"tags":2462,"stars":22,"repoUrl":23,"updatedAt":2466},"foldseek-structural-search","perform 3D protein structural searches","Performs 3D structural searches of proteins against various databases (PDB, AlphaFold, CATH, MGnify, etc.) using the Foldseek API. Use ONLY when the user provides a physical 3D coordinate file (.cif, .mmcif, or .pdb) and wants to find structurally similar proteins. Do NOT use if the user only provides a protein sequence, gene name, or UniProt ID.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2463,2464,2465],{"name":2318,"slug":2319,"type":15},{"name":2324,"slug":2325,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:52:09.354992",{"slug":2468,"name":2468,"fn":2469,"description":2470,"org":2471,"tags":2472,"stars":22,"repoUrl":23,"updatedAt":2477},"gnomad-database","query genetic variant data from gnomAD","Query the Genome Aggregation Database (gnomAD). Use when determining the rarity or allele frequency of specific genetic variants, retrieving gene constraint metrics (pLI, LOEUF) to assess loss-of-function intolerance, finding variants in a genomic region or gene, or querying structural variants. Don't use for analyzing individual patient genomes, tracking somatic mutations in cancer (use COSMIC), or requesting raw sequencing reads (use ENA).\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2473,2474,2475,2476],{"name":2318,"slug":2319,"type":15},{"name":2336,"slug":2337,"type":15},{"name":2324,"slug":2325,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:51:38.213009",38,{"items":2480,"total":2478},[2481,2488,2495,2503,2509,2516,2522],{"slug":2312,"name":2312,"fn":2313,"description":2314,"org":2482,"tags":2483,"stars":22,"repoUrl":23,"updatedAt":2327},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2484,2485,2486,2487],{"name":2318,"slug":2319,"type":15},{"name":2321,"slug":2322,"type":15},{"name":2324,"slug":2325,"type":15},{"name":13,"slug":14,"type":15},{"slug":2329,"name":2329,"fn":2330,"description":2331,"org":2489,"tags":2490,"stars":22,"repoUrl":23,"updatedAt":2342},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2491,2492,2493,2494],{"name":2318,"slug":2319,"type":15},{"name":2336,"slug":2337,"type":15},{"name":13,"slug":14,"type":15},{"name":2340,"slug":2341,"type":15},{"slug":2344,"name":2344,"fn":2345,"description":2346,"org":2496,"tags":2497,"stars":22,"repoUrl":23,"updatedAt":2362},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2498,2499,2500,2501,2502],{"name":2350,"slug":2351,"type":15},{"name":2353,"slug":2354,"type":15},{"name":2356,"slug":2357,"type":15},{"name":2359,"slug":2360,"type":15},{"name":13,"slug":14,"type":15},{"slug":2364,"name":2364,"fn":2365,"description":2366,"org":2504,"tags":2505,"stars":22,"repoUrl":23,"updatedAt":2374},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2506,2507,2508],{"name":2370,"slug":2371,"type":15},{"name":2324,"slug":2325,"type":15},{"name":13,"slug":14,"type":15},{"slug":2376,"name":2376,"fn":2377,"description":2378,"org":2510,"tags":2511,"stars":22,"repoUrl":23,"updatedAt":2389},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2512,2513,2514,2515],{"name":2382,"slug":2383,"type":15},{"name":2336,"slug":2337,"type":15},{"name":2386,"slug":2387,"type":15},{"name":13,"slug":14,"type":15},{"slug":2391,"name":2391,"fn":2392,"description":2393,"org":2517,"tags":2518,"stars":22,"repoUrl":23,"updatedAt":2405},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2519,2520,2521],{"name":2397,"slug":2398,"type":15},{"name":2400,"slug":2401,"type":15},{"name":2403,"slug":2404,"type":15},{"slug":2407,"name":2407,"fn":2408,"description":2409,"org":2523,"tags":2524,"stars":22,"repoUrl":23,"updatedAt":2418},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2525,2526,2527,2528],{"name":2318,"slug":2319,"type":15},{"name":2336,"slug":2337,"type":15},{"name":2415,"slug":2416,"type":15},{"name":13,"slug":14,"type":15}]