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Use this when you need to query datasets, manage orchestration builds, work with ontologies, run SQL queries, manage folders\u002Fspaces\u002Fprojects, copy datasets, or perform admin operations in Foundry. Triggers: Foundry, pltr, dataset, SQL query, ontology, build, schedule, RID.\n---\n\n# pltr-cli: Palantir Foundry CLI\n\nThis skill helps you use the pltr-cli to interact with Palantir Foundry effectively.\n\n## Compatibility\n\n- **Skill version**: 1.1.0\n- **pltr-cli version**: 0.12.0+\n- **Python**: 3.9, 3.10, 3.11, 3.12\n- **Dependencies**: foundry-platform-sdk >= 1.69.0\n\n## Overview\n\npltr-cli is a comprehensive CLI with 100+ commands for:\n- **Dataset operations**: Get info, list files, download files, manage branches and transactions\n- **SQL queries**: Execute queries, export results, manage async queries\n- **Ontology**: List ontologies, object types, objects, execute actions and queries\n- **Orchestration**: Manage builds, jobs, and schedules\n- **Filesystem**: Folders, spaces, projects, resources\n- **Admin**: User, group, role management\n- **Connectivity**: External connections and data imports\n- **MediaSets**: Media file management\n- **Language Models**: Interact with Anthropic Claude models and OpenAI embeddings\n- **Streams**: Create and manage streaming datasets, publish real-time data\n- **Functions**: Execute queries and inspect value types\n- **AIP Agents**: Manage AI agents, sessions, and versions\n- **Models**: ML model registry for model and version management\n\n## Critical Concepts\n\n### RID-Based API\nThe Foundry API is **RID-based** (Resource Identifier). Most commands require RIDs:\n- **Datasets**: `ri.foundry.main.dataset.{uuid}`\n- **Folders**: `ri.compass.main.folder.{uuid}` (root: `ri.compass.main.folder.0`)\n- **Builds**: `ri.orchestration.main.build.{uuid}`\n- **Schedules**: `ri.orchestration.main.schedule.{uuid}`\n- **Ontologies**: `ri.ontology.main.ontology.{uuid}`\n\nUsers must know RIDs in advance (from Foundry web UI or previous API calls).\n\n### Authentication\nBefore using any command, ensure authentication is configured:\n```bash\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```\n\n### Output Formats\nAll commands support multiple output formats:\n```bash\npltr \u003Ccommand> --format table    # Default: Rich table\npltr \u003Ccommand> --format json     # JSON output\npltr \u003Ccommand> --format csv      # CSV format\npltr \u003Ccommand> --output file.csv # Save to file\n```\n\n### Profile Selection\nUse `--profile` to switch between Foundry instances:\n```bash\npltr \u003Ccommand> --profile production\npltr \u003Ccommand> --profile development\n```\n\n## Reference Files\n\nLoad these files based on the user's task:\n\n| Task Type | Reference File |\n|-----------|----------------|\n| Setup, authentication, getting started | `reference\u002Fquick-start.md` |\n| Dataset operations (get, files, branches, transactions) | `reference\u002Fdataset-commands.md` |\n| SQL queries | `reference\u002Fsql-commands.md` |\n| Builds, jobs, schedules | `reference\u002Forchestration-commands.md` |\n| Ontologies, objects, actions | `reference\u002Fontology-commands.md` |\n| Users, groups, roles, orgs | `reference\u002Fadmin-commands.md` |\n| Folders, spaces, projects, resources, permissions | `reference\u002Ffilesystem-commands.md` |\n| Connections, imports | `reference\u002Fconnectivity-commands.md` |\n| Media sets, media items | `reference\u002Fmediasets-commands.md` |\n| Anthropic Claude models, OpenAI embeddings | `reference\u002Flanguage-models-commands.md` |\n| Streaming datasets, real-time data publishing | `reference\u002Fstreams-commands.md` |\n| Functions queries, value types | `reference\u002Ffunctions-commands.md` |\n| AIP Agents, sessions, versions | `reference\u002Faip-agents-commands.md` |\n| ML model registry, model versions | `reference\u002Fmodels-commands.md` |\n\n## Workflow Files\n\nFor common multi-step tasks:\n\n| Workflow | File |\n|----------|------|\n| Data exploration, SQL analysis, ontology queries | `workflows\u002Fdata-analysis.md` |\n| ETL pipelines, scheduled jobs, data quality | `workflows\u002Fdata-pipeline.md` |\n| Setting up permissions, resource roles, access control | `workflows\u002Fpermission-management.md` |\n\n## Common Commands Quick Reference\n\n```bash\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 \"\u002Fpath\u002Ffile.csv\" \".\u002Flocal.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```\n\n## Best Practices\n\n1. **Always verify authentication first**: Run `pltr verify` before starting work\n2. **Use appropriate output format**: JSON for programmatic use, CSV for spreadsheets, table for readability\n3. **Use async for large queries**: `pltr sql submit` + `pltr sql wait` for long-running queries\n4. **Export results**: Use `--output` to save results for further analysis\n5. **Use shell mode for exploration**: `pltr shell` provides tab completion and history\n\n## Getting Help\n\n```bash\npltr --help                    # All commands\npltr \u003Ccommand> --help          # Command help\npltr \u003Ccommand> \u003Csub> --help    # Subcommand help\n```\n","# pltr-cli: Palantir Foundry CLI\n\nThis skill helps you use the pltr-cli to interact with Palantir Foundry effectively.\n\n## Compatibility\n\n- **Skill version**: 1.1.0\n- **pltr-cli version**: 0.12.0+\n- **Python**: 3.9, 3.10, 3.11, 3.12\n- **Dependencies**: foundry-platform-sdk >= 1.69.0\n\n## Overview\n\npltr-cli is a comprehensive CLI with 100+ commands for:\n- **Dataset operations**: Get info, list files, download files, manage branches and transactions\n- **SQL queries**: Execute queries, export results, manage async queries\n- **Ontology**: List ontologies, object types, objects, execute actions and queries\n- **Orchestration**: Manage builds, jobs, and schedules\n- **Filesystem**: Folders, spaces, projects, resources\n- **Admin**: User, group, role management\n- **Connectivity**: External connections and data imports\n- **MediaSets**: Media file management\n- **Language Models**: Interact with Anthropic Claude models and OpenAI embeddings\n- **Streams**: Create and manage streaming datasets, publish real-time data\n- **Functions**: Execute queries and inspect value types\n- **AIP Agents**: Manage AI agents, sessions, and versions\n- **Models**: ML model registry for model and version management\n\n## Critical Concepts\n\n### RID-Based API\nThe Foundry API is **RID-based** (Resource Identifier). Most commands require RIDs:\n- **Datasets**: `ri.foundry.main.dataset.{uuid}`\n- **Folders**: `ri.compass.main.folder.{uuid}` (root: `ri.compass.main.folder.0`)\n- **Builds**: `ri.orchestration.main.build.{uuid}`\n- **Schedules**: `ri.orchestration.main.schedule.{uuid}`\n- **Ontologies**: `ri.ontology.main.ontology.{uuid}`\n\nUsers must know RIDs in advance (from Foundry web UI or previous API calls).\n\n### Authentication\nBefore using any command, ensure authentication is configured:\n```bash\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```\n\n### Output Formats\nAll commands support multiple output formats:\n```bash\npltr \u003Ccommand> --format table    # Default: Rich table\npltr \u003Ccommand> --format json     # JSON output\npltr \u003Ccommand> --format csv      # CSV format\npltr \u003Ccommand> --output file.csv # Save to file\n```\n\n### Profile Selection\nUse `--profile` to switch between Foundry instances:\n```bash\npltr \u003Ccommand> --profile production\npltr \u003Ccommand> --profile development\n```\n\n## Reference Files\n\nLoad these files based on the user's task:\n\n| Task Type | Reference File |\n|-----------|----------------|\n| Setup, authentication, getting started | `reference\u002Fquick-start.md` |\n| Dataset operations (get, files, branches, transactions) | `reference\u002Fdataset-commands.md` |\n| SQL queries | `reference\u002Fsql-commands.md` |\n| Builds, jobs, schedules | `reference\u002Forchestration-commands.md` |\n| Ontologies, objects, actions | `reference\u002Fontology-commands.md` |\n| Users, groups, roles, orgs | `reference\u002Fadmin-commands.md` |\n| Folders, spaces, projects, resources, permissions | `reference\u002Ffilesystem-commands.md` |\n| Connections, imports | `reference\u002Fconnectivity-commands.md` |\n| Media sets, media items | `reference\u002Fmediasets-commands.md` |\n| Anthropic Claude models, OpenAI embeddings | `reference\u002Flanguage-models-commands.md` |\n| Streaming datasets, real-time data publishing | `reference\u002Fstreams-commands.md` |\n| Functions queries, value types | `reference\u002Ffunctions-commands.md` |\n| AIP Agents, sessions, versions | `reference\u002Faip-agents-commands.md` |\n| ML model registry, model versions | `reference\u002Fmodels-commands.md` |\n\n## Workflow Files\n\nFor common multi-step tasks:\n\n| Workflow | File |\n|----------|------|\n| Data exploration, SQL analysis, ontology queries | `workflows\u002Fdata-analysis.md` |\n| ETL pipelines, scheduled jobs, data quality | `workflows\u002Fdata-pipeline.md` |\n| Setting up permissions, resource roles, access control | `workflows\u002Fpermission-management.md` |\n\n## Common Commands Quick Reference\n\n```bash\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 \"\u002Fpath\u002Ffile.csv\" \".\u002Flocal.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```\n\n## Best Practices\n\n1. **Always verify authentication first**: Run `pltr verify` before starting work\n2. **Use appropriate output format**: JSON for programmatic use, CSV for spreadsheets, table for readability\n3. **Use async for large queries**: `pltr sql submit` + `pltr sql wait` for long-running queries\n4. **Export results**: Use `--output` to save results for further analysis\n5. **Use shell mode for exploration**: `pltr shell` provides tab completion and history\n\n## Getting Help\n\n```bash\npltr --help                    # All commands\npltr \u003Ccommand> --help          # Command help\npltr \u003Ccommand> \u003Csub> --help    # Subcommand help\n```\n",{},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","搜索与研究\u002Fpltr-cli",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":7,"skillName":5,"commands":33,"prompt":43,"zipAvailable":44},[34,37,40],{"tool":35,"command":36},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill pltr-cli",{"tool":38,"command":39},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill pltr-cli",{"tool":41,"command":42},"pnpm","pnpm 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Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[127,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148],"safe","ethereum","defi","Optimization","user","use","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":150,"name":151,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":167,"publishedAt":19},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[154,159,162],{"categoryNo":155,"categoryName":156,"taxonomyType":157,"taxonomyTypeDesc":158},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":160,"categoryName":161,"taxonomyType":157,"taxonomyTypeDesc":158},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":163,"categoryName":164,"taxonomyType":165,"taxonomyTypeDesc":166},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[168,169,170,171,172,173,174,134,175,138,176,177,178,179,180,181,182,183,184],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":186,"name":187,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":188,"categories":189,"keywords":193,"publishedAt":19},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[190,191,192],{"categoryNo":155,"categoryName":156,"taxonomyType":157,"taxonomyTypeDesc":158},{"categoryNo":160,"categoryName":161,"taxonomyType":157,"taxonomyTypeDesc":158},{"categoryNo":163,"categoryName":164,"taxonomyType":165,"taxonomyTypeDesc":166},[168,194,195,169,170,171,172,173,174,134,175,138,177,178,179,180,181,182,183,184],"api skill","zerion api skill",{"skillNo":197,"name":198,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":204,"publishedAt":19},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[201,202,203],{"categoryNo":155,"categoryName":156,"taxonomyType":157,"taxonomyTypeDesc":158},{"categoryNo":160,"categoryName":161,"taxonomyType":157,"taxonomyTypeDesc":158},{"categoryNo":163,"categoryName":164,"taxonomyType":165,"taxonomyTypeDesc":166},[171,168,205,169,170,172,173,134,175,138,176,177,178,179,180,181,182,183,184],"zerion api mcp",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":215,"publishedAt":19},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[212],{"categoryNo":213,"categoryName":214,"taxonomyType":165,"taxonomyTypeDesc":166},"01JBSEEDCAT000000000000040","财务",[216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data","for",{"skillNo":237,"name":238,"nameZh":6,"description":239,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":240,"categories":241,"keywords":243,"publishedAt":19},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[242],{"categoryNo":213,"categoryName":214,"taxonomyType":165,"taxonomyTypeDesc":166},[216,217,219,17,244,245,246,247,248,227,249,250,251,252,253,254,255,256,184,234],"homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]