209 skills found ¡ Page 2 of 7
datopian / portaljs-migrateMigrate (harvest) datasets between open-data platforms. Reads CKAN, a DCAT-US /data.json catalog (DKAN, ArcGIS Hub, data.gov), a DCAT / DCAT-AP RDF feed (JSON-LD, Turtle, or RDF/XML â data.europa.eu, national DCAT-AP portals, GeoDCAT-AP), Socrata, OpenDataSoft, or an ArcGIS FeatureServer, and writesâĻ
datopian / portaljs-new-portalScaffold a new PortalJS data portal from a brief. Copies the canonical template from examples/portaljs-catalog and substitutes project tokens.
datopian / portaljs-add-resourceAdd another file (resource) to an EXISTING dataset in a PortalJS portal â a data dictionary, methodology, or an additional data file. Turns a single-file dataset into a multi-resource one; the showcase renders a section per resource.
datopian / portaljs-define-schemaDefine a dataset's metadata profile â infer a Frictionless Table Schema from its data, add Data Package metadata (license, sources, keywords), and write it into datasets.json so the showcase renders a typed field table. Extend or customize via the L0âL3 profile ladder.
datopian / arcgis-to-portaljsMigrate a whole ArcGIS Hub site (opendata.arcgis.com or a Hub Premium custom domain) into a PortalJS Arc portal end-to-end.
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Besty0728 / updateversionäŊ æ¯ UnitySkills 饚įŽįįæŦæ´æ°åŠæãæ¤åŊäģ¤åĒč´č´Ŗåå¤ä¸ä¸Ēå¯åå¸įįæŦåéīŧåŽä¸äŧååģē tag æ GitHub Releaseīŧäšä¸äŧįĢåŗå厞åŽčŖ ፿ˇåéæ´æ°æéã
Besty0728 / metacheckäŊ æ¯ UnitySkills 饚įŽį .meta æäģļ GUID åŽĄčŽĄåŠæãæĢææ´ä¸Ēäģåēį `.meta` æäģļīŧæŖæĩäŊŋį¨äē"äŧĒéæē GUID"įčĩæēââčŋįąģ GUID å ä¸ēåįŦĻæ¨Ąåŧå¯č¯åĢīŧææä¸įŦŦ䏿šå įĸ°æīŧå¯ŧč´ Unity čĩæē ownership äēå¤ēãįąģåįŧēå¤ąãCS0103 įįŧč¯é蝝ãåæļå¯šį §"厞įĨįŦŦ䏿šå GUID éģåå"īŧæåē fork/čĄįå翝ä¸ä¸ä¸æ¸¸éåčį¸åįįĄŽåŽæ§å˛įĒã
Besty0728 / releaseäŊ æ¯ UnitySkills 饚įŽįæŖåŧåå¸åŠæãåå¸åŋ éĄģéĩåŽäģĨä¸éĄēåēīŧ
OpenRaiser / ideationYou are the Ideation Agent for NanoResearch. Your job is to search academic literature and generate novel research hypotheses.
OpenRaiser / writingYou are the Writing Agent for NanoResearch. Your job is to generate publication-quality figures and write a complete LaTeX research paper.
OpenRaiser / researchYou are the NanoResearch pipeline orchestrator. Run the complete research pipeline from topic to paper.
OpenRaiser / planningYou are the Planning Agent for NanoResearch. Your job is to design a detailed experiment blueprint from the ideation output.
OpenRaiser / reviewYou are the Review Agent for NanoResearch. Your job is to critically review the paper from multiple perspectives and apply revisions.
OpenRaiser / analysisYou are the Analysis Agent for NanoResearch. Your job is to analyze experiment results and produce structured findings.
OpenRaiser / experimentYou are the Experiment Agent for NanoResearch. This command combines the Setup, Coding, and Execution stages. You will generate runnable experiment code and execute it.
dtsola / onboardThis command acts as an expert technical mentor to help you rapidly understand a new codebase, generating a comprehensive "Survival Guide" for the project.
tzachbon / speckit.analyzePerform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
tzachbon / speckit.checklistGenerate a custom checklist for the current feature based on user requirements.
tzachbon / speckit.specifyCreate or update the feature specification from a natural language feature description.
tzachbon / speckit.tasksGenerate an actionable, dependency-ordered tasks.md for the feature based on available design artifacts.
spencermarx / release-swarmOrchestrate complex software releases using AI swarms that handle everything from changelog generation to multi-platform deployment.
spencermarx / sparc-supabase-adminđ Supabase Admin - You are the Supabase database, authentication, and storage specialist. You design and implement d...
spencermarx / code-review-swarmDeploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis.
spencermarx / issue-trackerIntelligent issue management and project coordination with ruv-swarm integration for automated tracking, progress monitoring, and team coordination.
spencermarx / multi-repo-swarmCoordinate AI swarms across multiple repositories, enabling organization-wide automation and intelligent cross-project collaboration.
spencermarx / release-managerAutomated release coordination and deployment with ruv-swarm orchestration for seamless version management, testing, and deployment across multiple packages.
spencermarx / repo-architectRepository structure optimization and multi-repo management with ruv-swarm coordination for scalable project architecture and development workflows.
spencermarx / swarm-prCreate and manage AI swarms directly from GitHub Pull Requests, enabling seamless integration with your development workflow.
spencermarx / sync-coordinatorMulti-package synchronization and version alignment with ruv-swarm coordination for seamless integration between claude-code-flow and ruv-swarm packages.