Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Palantir Foundry CLI
Use the pltr CLI to query datasets, run SQL, manage builds, ontologies, projects, users, streams, AI agents, and ML models in Palantir Foundry.
skill openclawclawhub Free
Use the pltr CLI to query datasets, run SQL, manage builds, ontologies, projects, users, streams, AI agents, and ML models in Palantir Foundry.
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, reference/streams-commands.md, reference/aip-agents-commands.md, reference/admin-commands.md, reference/ontology-commands.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- anjor
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
pltr-cli: Palantir Foundry CLI
This skill helps you use the pltr-cli to interact with Palantir Foundry effectively.
Compatibility
Skill version: 1.1.0 pltr-cli version: 0.12.0+ Python: 3.9, 3.10, 3.11, 3.12 Dependencies: foundry-platform-sdk >= 1.69.0
Overview
pltr-cli is a comprehensive CLI with 100+ commands for: Dataset operations: Get info, list files, download files, manage branches and transactions SQL queries: Execute queries, export results, manage async queries Ontology: List ontologies, object types, objects, execute actions and queries Orchestration: Manage builds, jobs, and schedules Filesystem: Folders, spaces, projects, resources Admin: User, group, role management Connectivity: External connections and data imports MediaSets: Media file management Language Models: Interact with Anthropic Claude models and OpenAI embeddings Streams: Create and manage streaming datasets, publish real-time data Functions: Execute queries and inspect value types AIP Agents: Manage AI agents, sessions, and versions Models: ML model registry for model and version management
RID-Based API
The Foundry API is RID-based (Resource Identifier). Most commands require RIDs: Datasets: ri.foundry.main.dataset.{uuid} Folders: ri.compass.main.folder.{uuid} (root: ri.compass.main.folder.0) Builds: ri.orchestration.main.build.{uuid} Schedules: ri.orchestration.main.schedule.{uuid} Ontologies: ri.ontology.main.ontology.{uuid} Users must know RIDs in advance (from Foundry web UI or previous API calls).
Authentication
Before using any command, ensure authentication is configured: # Configure interactively pltr configure configure # Or use environment variables export FOUNDRY_TOKEN="your-token" export FOUNDRY_HOST="foundry.company.com" # Verify connection pltr verify
Output Formats
All commands support multiple output formats: pltr <command> --format table # Default: Rich table pltr <command> --format json # JSON output pltr <command> --format csv # CSV format pltr <command> --output file.csv # Save to file
Profile Selection
Use --profile to switch between Foundry instances: pltr <command> --profile production pltr <command> --profile development
Reference Files
Load these files based on the user's task: Task 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
Workflow Files
For common multi-step tasks: WorkflowFileData 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
Common Commands Quick Reference
# Verify setup pltr verify # Current user info pltr admin user current # Execute SQL query pltr sql execute "SELECT * FROM my_table LIMIT 10" # Get dataset info pltr dataset get ri.foundry.main.dataset.abc123 # List files in dataset pltr dataset files list ri.foundry.main.dataset.abc123 # Download file from dataset pltr dataset files get ri.foundry.main.dataset.abc123 "/path/file.csv" "./local.csv" # Copy dataset to another folder pltr cp ri.foundry.main.dataset.abc123 ri.compass.main.folder.target456 # List folder contents pltr folder list ri.compass.main.folder.0 # root folder # Search builds pltr orchestration builds search # Interactive shell mode pltr shell # Send message to Claude model pltr language-models anthropic messages ri.language-models.main.model.xxx \ --message "Explain this concept" # Generate embeddings pltr language-models openai embeddings ri.language-models.main.model.xxx \ --input "Sample text" # Create streaming dataset pltr streams dataset create my-stream \ --folder ri.compass.main.folder.xxx \ --schema '{"fieldSchemaList": [{"name": "value", "type": "STRING"}]}' # Publish record to stream pltr streams stream publish ri.foundry.main.dataset.xxx \ --branch master \ --record '{"value": "hello"}' # Execute a function query pltr functions query execute myQuery --parameters '{"limit": 10}' # Get AIP Agent info pltr aip-agents get ri.foundry.main.agent.abc123 # List agent sessions pltr aip-agents sessions list ri.foundry.main.agent.abc123 # Get ML model info pltr models model get ri.foundry.main.model.abc123 # List model versions pltr models version list ri.foundry.main.model.abc123
Best Practices
Always verify authentication first: Run pltr verify before starting work Use appropriate output format: JSON for programmatic use, CSV for spreadsheets, table for readability Use async for large queries: pltr sql submit + pltr sql wait for long-running queries Export results: Use --output to save results for further analysis Use shell mode for exploration: pltr shell provides tab completion and history
Getting Help
pltr --help # All commands pltr <command> --help # Command help pltr <command> <sub> --help # Subcommand help
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- README.md
- reference/admin-commands.md
- reference/aip-agents-commands.md
- reference/ontology-commands.md
- reference/streams-commands.md