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384,252 tools. Last updated 2026-08-03 13:14

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  • Retrieves project-specific coding standards, guardrails, and workflow for the given task to ensure compliance and avoid anti-patterns.
    MIT
  • List available coding standards profiles for various tech stacks to enforce consistent code style and architecture.
    MIT
  • Append a learning entry to a skill's memory to retain insights for future runs. After completing a skill, capture what failed or could be improved, then store it as a concise note tied to that skill.
    MIT
  • Generate zero-shot forecasts for countries with limited data by applying regime-similarity transfer learning. Ideal for countries lacking long event history.
    MIT
  • Delete a learning record using its unique ID. First, use list_learnings to find the correct ID.
    Business Source 1.1
  • Retrieve Spark driver logs from completed notebook executions to debug Python errors and analyze Spark behavior. Use stdout for Python tracebacks or stderr for system logs.
    MIT
  • Execute a BrainPlan for TouchDesigner with transactional validation, rollback on failure, and optional local learning.
    MIT
  • Retrieve Python package metadata from PyPI, including version, license, and Python compatibility. Use to evaluate library maintenance and compatibility before integration.
    MIT
  • Route coding tasks to the optimal AI model based on complexity for code generation, refactoring, and algorithm design.
    MIT
  • Retrieve per-transform learning statistics recorded across investigations to guide Next Best Action recommendations. Returns JSON summary or notification if learning is disabled.
    MIT