Waldo Marais
Community@mantisware · Panama
Agent Skills by Waldo Marais
Showing 82 vetted skills indexed across 1 GitHub repositories.
domo/code-engine
Write, deploy, and manage JavaScript or Python Code Engine functions in Domo.
domo/connector-build
Develop and publish custom Domo connectors for data ingestion and writeback.
domo/magic-etl
Design and configure Magic ETL dataflows with drag-and-drop tiles and scripted transformations.
domo/embed-analytics
Embed Domo cards and dashboards into external websites using iframes and tokens.
domo/data-science
Automate end-to-end data science workflows in Domo from ingestion to deployment.
domo/workflow-automate
Automate Domo Workflow initiation and lifecycle management via the Workflows Product API.
domo/app-scaffold
Scaffold a configured Domo project for custom apps or DDX Bricks.
domo/dataset-manage
Manage Domo DataSets via Platform APIs for schema, CSV, streaming, and PDP.
domo/api-integrate
Configure OAuth clients and route requests across Domo's three API tiers.
domo/governance
Automate Domo governance tasks including user and group management, SSO configuration, and audit monitoring.
domo/app-publish
Automate Domo app publishing and cross-instance deployment with manifest validation.
domo/appdb-manage
Manage Domo AppDB collections with CRUD, security filters, and permissions.
learning-engine
Consolidate episodic AI agent traces into semantic memory and generate skills.
lats
Optimize language-agent decision making with Monte Carlo Tree Search.
judge-prompt
Generate LLM-evaluator prompts with binary pass/fail rubrics and JSON output.
synthetic-data
Generate synthetic test inputs from YAML dimension specifications into jsonl, yaml, or csv.
skeleton-of-thought
Generate long-form content via skeleton outlines and parallel section expansion.
tree-of-thoughts
Explore multiple reasoning paths with backtracking for complex problem-solving.
self-consistency
Generate multiple reasoning paths and aggregate final answers by majority voting.
validate-evaluator
Calibrate LLM-based evaluators against human labels and generate reliability reports.
eval-rag
Evaluate RAG pipelines with retrieval and generation metrics and bottleneck analysis.
meta-prompting
Optimize prompts through iterative scoring and store versioned templates.
prompt-cache-optimizer
Cache and compress prompts to reduce token consumption in LLM sessions.
react-pattern
Log thought, action, and observation steps in a structured loop.