Data skills

This skill identifies and extracts JSON from mixed content, optionally pulling specific fields to simplify data retrieval.

This skill performs comprehensive content review and quality assurance for EARS documents, evaluating syntax, PRD alignment, testability, and actionable issues.

This skill inspects Minecraft inventory state, returning all slots and equipped items in both human-readable text and machine-readable data.

This skill synthesizes content across multiple documents to reveal cross-document insights, compare sources, and generate coherent reports from a Collection.

This skill loads a persisted Note or Collection by ID or name and returns sliced content when requested.

This skill analyzes internal test data, applies a where citations > 100 filter, and returns the high-cited items.

This skill automates CTR generation from REQ specifications, producing dual-file markdown and yaml contracts with ready-to-use validation and traceability.

This skill converts and transforms files across formats and media, enabling batch processing and consistent outputs for workflows.

This skill autonomously explores by selecting farthest reachable frontier and navigating toward it, updating the internal map for future exploration.

This skill helps you debug and inspect the raw local_grid data from world_state to validate coordinate systems and grid structure.

This skill routes requests to the synthesize tool for backward compatibility, enabling seamless access to advanced summarization functionality.

This skill performs comprehensive SPEC content review, validating REQ coverage, interface completeness, and drift detection to ensure readiness for TASKS and

This skill checks if text is null, empty, or whitespace, enabling conditional logic and data validation.

This skill helps you build production-grade data tables with MRT V3 and MUI, covering server-side ops, CRUD, virtualization, and advanced filtering.

This skill helps you inspect an agent-relative voxel grid for debugging by returning a formatted grid and structured coordinates.

This skill helps you implement Pydantic v2 models for travel panel endpoints, enforcing validation, DTOs, and MongoDB conversion.

This skill observes visible item entities within a fixed radius, filtering by forward cone and line-of-sight to help inventory planning.

This skill generates ADR-ready BDD scenarios from EARS requirements, validates readiness scores, and categorizes outcomes to accelerate documentation.

This skill helps you extract named entities, topics, and relationships from text to power knowledge graphs, indexing, and cross-document analysis.

This skill enables or disables automatic Minecraft training data capture, recording partial observation grids and optional ground truth for model training.

This skill extracts references from PDFs using GROBID and returns a collection of notes with structured metadata for each citation.