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      {
        "title": "pltr-cli: Palantir Foundry CLI",
        "body": "This skill helps you use the pltr-cli to interact with Palantir Foundry effectively."
      },
      {
        "title": "Compatibility",
        "body": "Skill version: 1.1.0\npltr-cli version: 0.12.0+\nPython: 3.9, 3.10, 3.11, 3.12\nDependencies: foundry-platform-sdk >= 1.69.0"
      },
      {
        "title": "Overview",
        "body": "pltr-cli is a comprehensive CLI with 100+ commands for:\n\nDataset operations: Get info, list files, download files, manage branches and transactions\nSQL queries: Execute queries, export results, manage async queries\nOntology: List ontologies, object types, objects, execute actions and queries\nOrchestration: Manage builds, jobs, and schedules\nFilesystem: Folders, spaces, projects, resources\nAdmin: User, group, role management\nConnectivity: External connections and data imports\nMediaSets: Media file management\nLanguage Models: Interact with Anthropic Claude models and OpenAI embeddings\nStreams: Create and manage streaming datasets, publish real-time data\nFunctions: Execute queries and inspect value types\nAIP Agents: Manage AI agents, sessions, and versions\nModels: ML model registry for model and version management"
      },
      {
        "title": "RID-Based API",
        "body": "The Foundry API is RID-based (Resource Identifier). Most commands require RIDs:\n\nDatasets: ri.foundry.main.dataset.{uuid}\nFolders: ri.compass.main.folder.{uuid} (root: ri.compass.main.folder.0)\nBuilds: ri.orchestration.main.build.{uuid}\nSchedules: ri.orchestration.main.schedule.{uuid}\nOntologies: ri.ontology.main.ontology.{uuid}\n\nUsers must know RIDs in advance (from Foundry web UI or previous API calls)."
      },
      {
        "title": "Authentication",
        "body": "Before using any command, ensure authentication is configured:\n\n# Configure interactively\npltr configure configure\n\n# Or use environment variables\nexport FOUNDRY_TOKEN=\"your-token\"\nexport FOUNDRY_HOST=\"foundry.company.com\"\n\n# Verify connection\npltr verify"
      },
      {
        "title": "Output Formats",
        "body": "All commands support multiple output formats:\n\npltr <command> --format table    # Default: Rich table\npltr <command> --format json     # JSON output\npltr <command> --format csv      # CSV format\npltr <command> --output file.csv # Save to file"
      },
      {
        "title": "Profile Selection",
        "body": "Use --profile to switch between Foundry instances:\n\npltr <command> --profile production\npltr <command> --profile development"
      },
      {
        "title": "Reference Files",
        "body": "Load these files based on the user's task:\n\nTask TypeReference FileSetup, authentication, getting startedreference/quick-start.mdDataset operations (get, files, branches, transactions)reference/dataset-commands.mdSQL queriesreference/sql-commands.mdBuilds, jobs, schedulesreference/orchestration-commands.mdOntologies, objects, actionsreference/ontology-commands.mdUsers, groups, roles, orgsreference/admin-commands.mdFolders, spaces, projects, resources, permissionsreference/filesystem-commands.mdConnections, importsreference/connectivity-commands.mdMedia sets, media itemsreference/mediasets-commands.mdAnthropic Claude models, OpenAI embeddingsreference/language-models-commands.mdStreaming datasets, real-time data publishingreference/streams-commands.mdFunctions queries, value typesreference/functions-commands.mdAIP Agents, sessions, versionsreference/aip-agents-commands.mdML model registry, model versionsreference/models-commands.md"
      },
      {
        "title": "Workflow Files",
        "body": "For common multi-step tasks:\n\nWorkflowFileData exploration, SQL analysis, ontology queriesworkflows/data-analysis.mdETL pipelines, scheduled jobs, data qualityworkflows/data-pipeline.mdSetting up permissions, resource roles, access controlworkflows/permission-management.md"
      },
      {
        "title": "Common Commands Quick Reference",
        "body": "# Verify setup\npltr verify\n\n# Current user info\npltr admin user current\n\n# Execute SQL query\npltr sql execute \"SELECT * FROM my_table LIMIT 10\"\n\n# Get dataset info\npltr dataset get ri.foundry.main.dataset.abc123\n\n# List files in dataset\npltr dataset files list ri.foundry.main.dataset.abc123\n\n# Download file from dataset\npltr dataset files get ri.foundry.main.dataset.abc123 \"/path/file.csv\" \"./local.csv\"\n\n# Copy dataset to another folder\npltr cp ri.foundry.main.dataset.abc123 ri.compass.main.folder.target456\n\n# List folder contents\npltr folder list ri.compass.main.folder.0  # root folder\n\n# Search builds\npltr orchestration builds search\n\n# Interactive shell mode\npltr shell\n\n# Send message to Claude model\npltr language-models anthropic messages ri.language-models.main.model.xxx \\\n    --message \"Explain this concept\"\n\n# Generate embeddings\npltr language-models openai embeddings ri.language-models.main.model.xxx \\\n    --input \"Sample text\"\n\n# Create streaming dataset\npltr streams dataset create my-stream \\\n    --folder ri.compass.main.folder.xxx \\\n    --schema '{\"fieldSchemaList\": [{\"name\": \"value\", \"type\": \"STRING\"}]}'\n\n# Publish record to stream\npltr streams stream publish ri.foundry.main.dataset.xxx \\\n    --branch master \\\n    --record '{\"value\": \"hello\"}'\n\n# Execute a function query\npltr functions query execute myQuery --parameters '{\"limit\": 10}'\n\n# Get AIP Agent info\npltr aip-agents get ri.foundry.main.agent.abc123\n\n# List agent sessions\npltr aip-agents sessions list ri.foundry.main.agent.abc123\n\n# Get ML model info\npltr models model get ri.foundry.main.model.abc123\n\n# List model versions\npltr models version list ri.foundry.main.model.abc123"
      },
      {
        "title": "Best Practices",
        "body": "Always verify authentication first: Run pltr verify before starting work\nUse appropriate output format: JSON for programmatic use, CSV for spreadsheets, table for readability\nUse async for large queries: pltr sql submit + pltr sql wait for long-running queries\nExport results: Use --output to save results for further analysis\nUse shell mode for exploration: pltr shell provides tab completion and history"
      },
      {
        "title": "Getting Help",
        "body": "pltr --help                    # All commands\npltr <command> --help          # Command help\npltr <command> <sub> --help    # Subcommand help"
      }
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    "body": "pltr-cli: Palantir Foundry CLI\n\nThis skill helps you use the pltr-cli to interact with Palantir Foundry effectively.\n\nCompatibility\nSkill version: 1.1.0\npltr-cli version: 0.12.0+\nPython: 3.9, 3.10, 3.11, 3.12\nDependencies: foundry-platform-sdk >= 1.69.0\nOverview\n\npltr-cli is a comprehensive CLI with 100+ commands for:\n\nDataset operations: Get info, list files, download files, manage branches and transactions\nSQL queries: Execute queries, export results, manage async queries\nOntology: List ontologies, object types, objects, execute actions and queries\nOrchestration: Manage builds, jobs, and schedules\nFilesystem: Folders, spaces, projects, resources\nAdmin: User, group, role management\nConnectivity: External connections and data imports\nMediaSets: Media file management\nLanguage Models: Interact with Anthropic Claude models and OpenAI embeddings\nStreams: Create and manage streaming datasets, publish real-time data\nFunctions: Execute queries and inspect value types\nAIP Agents: Manage AI agents, sessions, and versions\nModels: ML model registry for model and version management\nCritical Concepts\nRID-Based API\n\nThe Foundry API is RID-based (Resource Identifier). Most commands require RIDs:\n\nDatasets: ri.foundry.main.dataset.{uuid}\nFolders: ri.compass.main.folder.{uuid} (root: ri.compass.main.folder.0)\nBuilds: ri.orchestration.main.build.{uuid}\nSchedules: ri.orchestration.main.schedule.{uuid}\nOntologies: ri.ontology.main.ontology.{uuid}\n\nUsers must know RIDs in advance (from Foundry web UI or previous API calls).\n\nAuthentication\n\nBefore using any command, ensure authentication is configured:\n\n# Configure interactively\npltr configure configure\n\n# Or use environment variables\nexport FOUNDRY_TOKEN=\"your-token\"\nexport FOUNDRY_HOST=\"foundry.company.com\"\n\n# Verify connection\npltr verify\n\nOutput Formats\n\nAll commands support multiple output formats:\n\npltr <command> --format table    # Default: Rich table\npltr <command> --format json     # JSON output\npltr <command> --format csv      # CSV format\npltr <command> --output file.csv # Save to file\n\nProfile Selection\n\nUse --profile to switch between Foundry instances:\n\npltr <command> --profile production\npltr <command> --profile development\n\nReference Files\n\nLoad these files based on the user's task:\n\nTask Type\tReference File\nSetup, authentication, getting started\treference/quick-start.md\nDataset operations (get, files, branches, transactions)\treference/dataset-commands.md\nSQL queries\treference/sql-commands.md\nBuilds, jobs, schedules\treference/orchestration-commands.md\nOntologies, objects, actions\treference/ontology-commands.md\nUsers, groups, roles, orgs\treference/admin-commands.md\nFolders, spaces, projects, resources, permissions\treference/filesystem-commands.md\nConnections, imports\treference/connectivity-commands.md\nMedia sets, media items\treference/mediasets-commands.md\nAnthropic Claude models, OpenAI embeddings\treference/language-models-commands.md\nStreaming datasets, real-time data publishing\treference/streams-commands.md\nFunctions queries, value types\treference/functions-commands.md\nAIP Agents, sessions, versions\treference/aip-agents-commands.md\nML model registry, model versions\treference/models-commands.md\nWorkflow Files\n\nFor common multi-step tasks:\n\nWorkflow\tFile\nData exploration, SQL analysis, ontology queries\tworkflows/data-analysis.md\nETL pipelines, scheduled jobs, data quality\tworkflows/data-pipeline.md\nSetting up permissions, resource roles, access control\tworkflows/permission-management.md\nCommon Commands Quick Reference\n# Verify setup\npltr verify\n\n# Current user info\npltr admin user current\n\n# Execute SQL query\npltr sql execute \"SELECT * FROM my_table LIMIT 10\"\n\n# Get dataset info\npltr dataset get ri.foundry.main.dataset.abc123\n\n# List files in dataset\npltr dataset files list ri.foundry.main.dataset.abc123\n\n# Download file from dataset\npltr dataset files get ri.foundry.main.dataset.abc123 \"/path/file.csv\" \"./local.csv\"\n\n# Copy dataset to another folder\npltr cp ri.foundry.main.dataset.abc123 ri.compass.main.folder.target456\n\n# List folder contents\npltr folder list ri.compass.main.folder.0  # root folder\n\n# Search builds\npltr orchestration builds search\n\n# Interactive shell mode\npltr shell\n\n# Send message to Claude model\npltr language-models anthropic messages ri.language-models.main.model.xxx \\\n    --message \"Explain this concept\"\n\n# Generate embeddings\npltr language-models openai embeddings ri.language-models.main.model.xxx \\\n    --input \"Sample text\"\n\n# Create streaming dataset\npltr streams dataset create my-stream \\\n    --folder ri.compass.main.folder.xxx \\\n    --schema '{\"fieldSchemaList\": [{\"name\": \"value\", \"type\": \"STRING\"}]}'\n\n# Publish record to stream\npltr streams stream publish ri.foundry.main.dataset.xxx \\\n    --branch master \\\n    --record '{\"value\": \"hello\"}'\n\n# Execute a function query\npltr functions query execute myQuery --parameters '{\"limit\": 10}'\n\n# Get AIP Agent info\npltr aip-agents get ri.foundry.main.agent.abc123\n\n# List agent sessions\npltr aip-agents sessions list ri.foundry.main.agent.abc123\n\n# Get ML model info\npltr models model get ri.foundry.main.model.abc123\n\n# List model versions\npltr models version list ri.foundry.main.model.abc123\n\nBest Practices\nAlways verify authentication first: Run pltr verify before starting work\nUse appropriate output format: JSON for programmatic use, CSV for spreadsheets, table for readability\nUse async for large queries: pltr sql submit + pltr sql wait for long-running queries\nExport results: Use --output to save results for further analysis\nUse shell mode for exploration: pltr shell provides tab completion and history\nGetting Help\npltr --help                    # All commands\npltr <command> --help          # Command help\npltr <command> <sub> --help    # Subcommand help"
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