[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-google-deepmind-agentic-ecology-bioacoustics":3,"mdc-txifwu-key":32,"related-org-google-deepmind-agentic-ecology-bioacoustics":303,"related-repo-google-deepmind-agentic-ecology-bioacoustics":475},{"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":30,"mdContent":31},"agentic-ecology-bioacoustics","perform bioacoustic analysis for ecological research","Provides bioacoustic analysis capabilities for ecologists and researchers using the perch-hoplite Python package. A typical use case is to use agile modeling to bootstrap the creation and deployment of a bespoke detector for targeted species on an existing collection of passive acoustic monitoring recordings.",{"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},"Data Analysis","data-analysis",{"name":20,"slug":21,"type":15},"Python","python",2,"https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fagentic_ecology","2026-08-29T09:48:06.668897",null,0,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":25},[],"https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fagentic_ecology\u002Ftree\u002FHEAD\u002Fskills\u002Fagentic-ecology-bioacoustics","---\nname: agentic-ecology-bioacoustics\ndescription: >-\n  Provides bioacoustic analysis capabilities for ecologists and researchers\n  using the perch-hoplite Python package. A typical use case is to use agile\n  modeling to bootstrap the creation and deployment of a bespoke detector for\n  targeted species on an existing collection of passive acoustic monitoring\n  recordings.\n---\n\n# Bioacoustics Skill\n\n> [!CAUTION] **DATABASE SAFETY AND INTEGRITY**: Do NOT write, modify, or insert\n> test annotations directly into the user's production databases. If you need to\n> test database operations (such as saving annotations or training models), you\n> MUST copy the database to a temporary location (e.g., inside the conversation\n> scratch directory) and test against the copy. Never leave testing data in\n> production databases.\n\n## Workflow Overview\n\nFollow these sequential steps:\n\n1.  **Preprocess:** Create and populate a Hoplite database from the user's\n    recordings.\n    1.  **Identify Recordings:** Locate the user's recordings. If the location\n        is not provided, ask the user.\n    2.  **Select Embedding Model:** Confirm which embedding model to use (e.g.,\n        `perch_v2`, `surfperch`). Query the user if they have not specified one.\n    3.  **Create Database:** Initialize a new Hoplite database in the\n        `databases` directory located in the repo's root directory, configured\n        with the selected model's embedding dimension.\n    4.  **Populate Database:** Extract embeddings from the recordings and\n        populate the database with them along with metadata.\n2.  **Build a Bioacoustics Web App:** Create an interactive webpage for the user\n    to browse, search, and annotate audio snippets associated with the Hoplite\n    database created in the previous step. Make sure the web app supports the\n    following:\n    *   **Browsing:** Design the UI so that the user can inspect rows in the\n        database and listen to their associated audio.\n    *   **Annotating:** Empower the user to attach annotations to rows in the\n        database. Save, update, and clear user annotations (positive, negative,\n        or uncertain) directly in the database under the \"user\" provenance tag\n        as they interact.\n    *   **Searching:** Empower the user to reorder rows in the database\n        according to various criteria:\n        *   **Vector Search:** Allow the user to present a search query in the\n            form of a URI pointing to an audio clip. Embed it with the selected\n            model and perform a search operation in the database. Use the result\n            to rerank all rows in the database. Ensure that the query URI is\n            only used for ranking, and any annotations submitted are saved under\n            the active label (e.g., species name), NOT under the query URI\n            itself.\n        *   **Trained Classifier**: Once enough annotations are provided for a\n            particular label (at least two positives and one negative, or two\n            negatives and one positive), allow the user to search with a\n            classifier trained on those annotations. Train a linear classifier\n            using `perch-hoplite` APIs, and use the classifier's weights to\n            score database rows and rerank them.\n\n## Technical Reference\n\nFor detailed API usage, implementation instructions, and code examples, see the\n`references\u002Ftechnical_reference.md`.\n\nThis reference covers:\n\n*   Hoplite Database initialization and loading\n*   Populating database with embeddings using `EmbedWorker`\n*   Resolving physical audio files from database records\n*   Agile Modeling setup and search implementation\n*   Serving search results via the interactive UI\n*   Processing user annotations (saving, clearing, and restoring state)\n",{"data":33,"body":34},{"name":4,"description":6},{"type":35,"children":36},"root",[37,46,70,77,82,240,246,259,264],{"type":38,"tag":39,"props":40,"children":42},"element","h1",{"id":41},"bioacoustics-skill",[43],{"type":44,"value":45},"text","Bioacoustics Skill",{"type":38,"tag":47,"props":48,"children":49},"blockquote",{},[50],{"type":38,"tag":51,"props":52,"children":53},"p",{},[54,60,62,68],{"type":38,"tag":55,"props":56,"children":57},"span",{},[58],{"type":44,"value":59},"!CAUTION",{"type":44,"value":61}," ",{"type":38,"tag":63,"props":64,"children":65},"strong",{},[66],{"type":44,"value":67},"DATABASE SAFETY AND INTEGRITY",{"type":44,"value":69},": Do NOT write, modify, or insert\ntest annotations directly into the user's production databases. If you need to\ntest database operations (such as saving annotations or training models), you\nMUST copy the database to a temporary location (e.g., inside the conversation\nscratch directory) and test against the copy. Never leave testing data in\nproduction databases.",{"type":38,"tag":71,"props":72,"children":74},"h2",{"id":73},"workflow-overview",[75],{"type":44,"value":76},"Workflow Overview",{"type":38,"tag":51,"props":78,"children":79},{},[80],{"type":44,"value":81},"Follow these sequential steps:",{"type":38,"tag":83,"props":84,"children":85},"ol",{},[86,165],{"type":38,"tag":87,"props":88,"children":89},"li",{},[90,95,97],{"type":38,"tag":63,"props":91,"children":92},{},[93],{"type":44,"value":94},"Preprocess:",{"type":44,"value":96}," Create and populate a Hoplite database from the user's\nrecordings.\n",{"type":38,"tag":83,"props":98,"children":99},{},[100,110,137,155],{"type":38,"tag":87,"props":101,"children":102},{},[103,108],{"type":38,"tag":63,"props":104,"children":105},{},[106],{"type":44,"value":107},"Identify Recordings:",{"type":44,"value":109}," Locate the user's recordings. If the location\nis not provided, ask the user.",{"type":38,"tag":87,"props":111,"children":112},{},[113,118,120,127,129,135],{"type":38,"tag":63,"props":114,"children":115},{},[116],{"type":44,"value":117},"Select Embedding Model:",{"type":44,"value":119}," Confirm which embedding model to use (e.g.,\n",{"type":38,"tag":121,"props":122,"children":124},"code",{"className":123},[],[125],{"type":44,"value":126},"perch_v2",{"type":44,"value":128},", ",{"type":38,"tag":121,"props":130,"children":132},{"className":131},[],[133],{"type":44,"value":134},"surfperch",{"type":44,"value":136},"). Query the user if they have not specified one.",{"type":38,"tag":87,"props":138,"children":139},{},[140,145,147,153],{"type":38,"tag":63,"props":141,"children":142},{},[143],{"type":44,"value":144},"Create Database:",{"type":44,"value":146}," Initialize a new Hoplite database in the\n",{"type":38,"tag":121,"props":148,"children":150},{"className":149},[],[151],{"type":44,"value":152},"databases",{"type":44,"value":154}," directory located in the repo's root directory, configured\nwith the selected model's embedding dimension.",{"type":38,"tag":87,"props":156,"children":157},{},[158,163],{"type":38,"tag":63,"props":159,"children":160},{},[161],{"type":44,"value":162},"Populate Database:",{"type":44,"value":164}," Extract embeddings from the recordings and\npopulate the database with them along with metadata.",{"type":38,"tag":87,"props":166,"children":167},{},[168,173,175],{"type":38,"tag":63,"props":169,"children":170},{},[171],{"type":44,"value":172},"Build a Bioacoustics Web App:",{"type":44,"value":174}," Create an interactive webpage for the user\nto browse, search, and annotate audio snippets associated with the Hoplite\ndatabase created in the previous step. Make sure the web app supports the\nfollowing:\n",{"type":38,"tag":176,"props":177,"children":178},"ul",{},[179,189,199],{"type":38,"tag":87,"props":180,"children":181},{},[182,187],{"type":38,"tag":63,"props":183,"children":184},{},[185],{"type":44,"value":186},"Browsing:",{"type":44,"value":188}," Design the UI so that the user can inspect rows in the\ndatabase and listen to their associated audio.",{"type":38,"tag":87,"props":190,"children":191},{},[192,197],{"type":38,"tag":63,"props":193,"children":194},{},[195],{"type":44,"value":196},"Annotating:",{"type":44,"value":198}," Empower the user to attach annotations to rows in the\ndatabase. Save, update, and clear user annotations (positive, negative,\nor uncertain) directly in the database under the \"user\" provenance tag\nas they interact.",{"type":38,"tag":87,"props":200,"children":201},{},[202,207,209],{"type":38,"tag":63,"props":203,"children":204},{},[205],{"type":44,"value":206},"Searching:",{"type":44,"value":208}," Empower the user to reorder rows in the database\naccording to various criteria:\n",{"type":38,"tag":176,"props":210,"children":211},{},[212,222],{"type":38,"tag":87,"props":213,"children":214},{},[215,220],{"type":38,"tag":63,"props":216,"children":217},{},[218],{"type":44,"value":219},"Vector Search:",{"type":44,"value":221}," Allow the user to present a search query in the\nform of a URI pointing to an audio clip. Embed it with the selected\nmodel and perform a search operation in the database. Use the result\nto rerank all rows in the database. Ensure that the query URI is\nonly used for ranking, and any annotations submitted are saved under\nthe active label (e.g., species name), NOT under the query URI\nitself.",{"type":38,"tag":87,"props":223,"children":224},{},[225,230,232,238],{"type":38,"tag":63,"props":226,"children":227},{},[228],{"type":44,"value":229},"Trained Classifier",{"type":44,"value":231},": Once enough annotations are provided for a\nparticular label (at least two positives and one negative, or two\nnegatives and one positive), allow the user to search with a\nclassifier trained on those annotations. Train a linear classifier\nusing ",{"type":38,"tag":121,"props":233,"children":235},{"className":234},[],[236],{"type":44,"value":237},"perch-hoplite",{"type":44,"value":239}," APIs, and use the classifier's weights to\nscore database rows and rerank them.",{"type":38,"tag":71,"props":241,"children":243},{"id":242},"technical-reference",[244],{"type":44,"value":245},"Technical Reference",{"type":38,"tag":51,"props":247,"children":248},{},[249,251,257],{"type":44,"value":250},"For detailed API usage, implementation instructions, and code examples, see the\n",{"type":38,"tag":121,"props":252,"children":254},{"className":253},[],[255],{"type":44,"value":256},"references\u002Ftechnical_reference.md",{"type":44,"value":258},".",{"type":38,"tag":51,"props":260,"children":261},{},[262],{"type":44,"value":263},"This reference covers:",{"type":38,"tag":176,"props":265,"children":266},{},[267,272,283,288,293,298],{"type":38,"tag":87,"props":268,"children":269},{},[270],{"type":44,"value":271},"Hoplite Database initialization and loading",{"type":38,"tag":87,"props":273,"children":274},{},[275,277],{"type":44,"value":276},"Populating database with embeddings using ",{"type":38,"tag":121,"props":278,"children":280},{"className":279},[],[281],{"type":44,"value":282},"EmbedWorker",{"type":38,"tag":87,"props":284,"children":285},{},[286],{"type":44,"value":287},"Resolving physical audio files from database records",{"type":38,"tag":87,"props":289,"children":290},{},[291],{"type":44,"value":292},"Agile Modeling setup and search implementation",{"type":38,"tag":87,"props":294,"children":295},{},[296],{"type":44,"value":297},"Serving search results via the interactive UI",{"type":38,"tag":87,"props":299,"children":300},{},[301],{"type":44,"value":302},"Processing user annotations (saving, clearing, and restoring state)",{"items":304,"total":474},[305,324,339,359,371,386,402,415,427,442,453,463],{"slug":306,"name":306,"fn":307,"description":308,"org":309,"tags":310,"stars":321,"repoUrl":322,"updatedAt":323},"alphafold-database-fetch-and-analyze","retrieve and analyze AlphaFold protein structures","Retrieve and analyze AlphaFold predicted structures for a protein. Use when the user provides a specific UniProt Accession ID and wants structural confidence metrics (pLDDT), domain boundary analysis, or disorder assessment. Do not use if the user only has a protein name, gene name, or amino acid sequence — ask for a UniProt ID first.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[311,314,317,320],{"name":312,"slug":313,"type":15},"Bioinformatics","bioinformatics",{"name":315,"slug":316,"type":15},"Genomics","genomics",{"name":318,"slug":319,"type":15},"Life Sciences","life-sciences",{"name":13,"slug":14,"type":15},2690,"https:\u002F\u002Fgithub.com\u002Fgoogle-deepmind\u002Fscience-skills","2026-07-12T07:51:51.827211",{"slug":325,"name":325,"fn":326,"description":327,"org":328,"tags":329,"stars":321,"repoUrl":322,"updatedAt":338},"alphagenome-single-variant-analysis","analyze genetic variant effects with AlphaGenome","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\u002Fcell-type ontologies (UBERON\u002FCL) or analyzing variants in chr:pos:ref>alt format.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[330,331,334,335],{"name":312,"slug":313,"type":15},{"name":332,"slug":333,"type":15},"Genetics","genetics",{"name":13,"slug":14,"type":15},{"name":336,"slug":337,"type":15},"RNA-seq","rna-seq","2026-07-12T07:51:39.494803",{"slug":340,"name":340,"fn":341,"description":342,"org":343,"tags":344,"stars":321,"repoUrl":322,"updatedAt":358},"chembl-database","query ChEMBL database for bioactive molecules","Query the ChEMBL database for bioactive molecules, drug targets, bioactivity data, approved drugs, and chemical structures. Use when the user asks about compounds, targets, IC50\u002FKi values, drug mechanisms, or structure searches.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[345,348,351,354,357],{"name":346,"slug":347,"type":15},"ChEMBL","chembl",{"name":349,"slug":350,"type":15},"Chemistry","chemistry",{"name":352,"slug":353,"type":15},"Database","database",{"name":355,"slug":356,"type":15},"Pharmacology","pharmacology",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:35.544306",{"slug":360,"name":360,"fn":361,"description":362,"org":363,"tags":364,"stars":321,"repoUrl":322,"updatedAt":370},"clinical-trials-database","query clinical trial data","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\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},[365,368,369],{"name":366,"slug":367,"type":15},"Clinical Trials","clinical-trials",{"name":318,"slug":319,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:52:06.846705",{"slug":372,"name":372,"fn":373,"description":374,"org":375,"tags":376,"stars":321,"repoUrl":322,"updatedAt":385},"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},[377,380,381,384],{"name":378,"slug":379,"type":15},"ClinVar","clinvar",{"name":332,"slug":333,"type":15},{"name":382,"slug":383,"type":15},"Healthcare","healthcare",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:36.86094",{"slug":387,"name":387,"fn":388,"description":389,"org":390,"tags":391,"stars":321,"repoUrl":322,"updatedAt":401},"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},[392,395,398],{"name":393,"slug":394,"type":15},"Compliance","compliance",{"name":396,"slug":397,"type":15},"Operations","operations",{"name":399,"slug":400,"type":15},"Security","security","2026-07-12T07:52:17.355491",{"slug":403,"name":403,"fn":404,"description":405,"org":406,"tags":407,"stars":321,"repoUrl":322,"updatedAt":414},"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},[408,409,410,413],{"name":312,"slug":313,"type":15},{"name":332,"slug":333,"type":15},{"name":411,"slug":412,"type":15},"NCBI","ncbi",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:33.054229",{"slug":416,"name":416,"fn":417,"description":418,"org":419,"tags":420,"stars":321,"repoUrl":322,"updatedAt":426},"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},[421,422,425],{"name":312,"slug":313,"type":15},{"name":423,"slug":424,"type":15},"Ontology","ontology",{"name":13,"slug":14,"type":15},"2026-07-12T07:51:59.368324",{"slug":428,"name":428,"fn":429,"description":430,"org":431,"tags":432,"stars":321,"repoUrl":322,"updatedAt":441},"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},[433,434,437,438],{"name":312,"slug":313,"type":15},{"name":435,"slug":436,"type":15},"GraphQL","graphql",{"name":13,"slug":14,"type":15},{"name":439,"slug":440,"type":15},"REST API","rest-api","2026-07-12T07:52:10.597139",{"slug":443,"name":443,"fn":444,"description":445,"org":446,"tags":447,"stars":321,"repoUrl":322,"updatedAt":452},"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},[448,449,450,451],{"name":312,"slug":313,"type":15},{"name":332,"slug":333,"type":15},{"name":318,"slug":319,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:51:41.645835",{"slug":454,"name":454,"fn":455,"description":456,"org":457,"tags":458,"stars":321,"repoUrl":322,"updatedAt":462},"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},[459,460,461],{"name":312,"slug":313,"type":15},{"name":318,"slug":319,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:52:09.354992",{"slug":464,"name":464,"fn":465,"description":466,"org":467,"tags":468,"stars":321,"repoUrl":322,"updatedAt":473},"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},[469,470,471,472],{"name":312,"slug":313,"type":15},{"name":332,"slug":333,"type":15},{"name":318,"slug":319,"type":15},{"name":13,"slug":14,"type":15},"2026-07-12T07:51:38.213009",43,{"items":476,"total":544},[477,483,497,511,527],{"slug":4,"name":4,"fn":5,"description":6,"org":478,"tags":479,"stars":22,"repoUrl":23,"updatedAt":24},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[480,481,482],{"name":17,"slug":18,"type":15},{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"slug":484,"name":484,"fn":485,"description":486,"org":487,"tags":488,"stars":22,"repoUrl":23,"updatedAt":496},"agentic-ecology-camera-traps","classify and search camera trap images","Provides capabilities to run SpeciesNet detector and classifier on camera trap images, extract crop-level feature embeddings, and populate a Hoplite vector database for downstream search and agile modeling.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[489,492,493],{"name":490,"slug":491,"type":15},"Computer Vision","computer-vision",{"name":17,"slug":18,"type":15},{"name":494,"slug":495,"type":15},"Search","search","2026-08-29T09:48:07.220771",{"slug":498,"name":498,"fn":499,"description":500,"org":501,"tags":502,"stars":22,"repoUrl":23,"updatedAt":510},"agentic-ecology-init","initialize Python projects for agentic ecology","Initializes a local uv-managed project directory for agentic ecology workloads. Sets up Python dependencies using reference pyproject.toml and uv.lock, configures workspace rules, and ensures Agentic Ecology skills are discoverable.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[503,506,509],{"name":504,"slug":505,"type":15},"Engineering","engineering",{"name":507,"slug":508,"type":15},"Local Development","local-development",{"name":20,"slug":21,"type":15},"2026-08-29T09:48:06.14295",{"slug":512,"name":512,"fn":513,"description":514,"org":515,"tags":516,"stars":22,"repoUrl":23,"updatedAt":526},"agentic-ecology-storage","upload local data to cloud storage","Provides guidelines and reference implementations for uploading local data (such as audio recordings or datasets) to cloud storage systems, focusing on Google Drive via rclone as the primary target.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[517,520,523],{"name":518,"slug":519,"type":15},"Data Engineering","data-engineering",{"name":521,"slug":522,"type":15},"Google Drive","google-drive",{"name":524,"slug":525,"type":15},"Storage","storage","2026-08-29T09:48:13.00055",{"slug":528,"name":528,"fn":529,"description":530,"org":531,"tags":532,"stars":22,"repoUrl":23,"updatedAt":543},"agentic-ecology-ui","visualize and annotate vector database results","Guidelines and templates for creating a generic web UI to visualize, rank, filter, and annotate vector databases. The UI has a hierarchical structure covering database selection, label selection\u002Fdefinition, ranking\u002Ffiltering configuration, and row visualization\u002Fannotation. Meant to be copied and adapted for specific downstream tasks like bioacoustics or camera traps.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[533,536,539,540],{"name":534,"slug":535,"type":15},"Dashboards","dashboards",{"name":537,"slug":538,"type":15},"Data Visualization","data-visualization",{"name":494,"slug":495,"type":15},{"name":541,"slug":542,"type":15},"UI Components","ui-components","2026-08-29T09:48:03.400711",5]