datamaker
Official@datamaker-kr · Korea, South
Offers structured specification analysis, software development lifecycle orchestration, and specialized data annotation management for enterprise engineering teams.
Agent Skills by datamaker
Showing 25 vetted skills indexed across 1 GitHub repositories.
datamaker-krquality-gate
Validate specification documents for consistency, completeness, and project standards before implementation.
datamaker-krspec-workflow
Orchestrate specification-driven development from feature idea to implemented code.
datamaker-krchecklist-generation
Generate domain-specific quality checklists from technical specification content.
datamaker-krconsistency-analysis
Detect inconsistencies, gaps, and conflicts across specification documents.
datamaker-krtask-decomposition
Decompose project specifications into dependency-ordered tasks with coverage validation.
datamaker-krspec-authoring
Generate structured software specifications with requirements, user stories, and acceptance criteria.
datamaker-krsynapse-step-workflow
Create multi-step workflows with progress tracking and automatic rollback in the Synapse SDK.
datamaker-krsynapse-config-yaml-guide
Guide creation of Synapse plugin config.yaml files with metadata, actions, and runtime settings.
datamaker-krsynapse-plugin-execution
Execute Synapse plugin actions via run_plugin() in local, Ray Actor, or Ray Job modes.
datamaker-krsynapse-specialized-actions
Provides specialized Python base classes for machine learning workflows in the Synapse SDK.
datamaker-krsynapse-action-development
Develop Synapse plugin actions with Pydantic validation and semantic types.
datamaker-krsynapse-result-schemas
Provide Pydantic-based result schema classes for Synapse plugin actions.
datamaker-krsynapse-runtime-context-api
Explain the Synapse RuntimeContext API for logging, progress tracking, and environment access.
datamaker-krdocs-manager
Coordinate documentation analysis, bootstrapping, and diagram generation from code changes.
datamaker-krplanner
Generate step-by-step implementation plans for software development tasks.
datamaker-krupdate-pr
Generate pull request titles and descriptions from commit history and project context.
datamaker-krdocs-analyzer
Analyze git history against existing documentation to detect and prioritize documentation gaps.
datamaker-krmermaid-expert
Generate Mermaid diagrams with light/dark mode compatibility and semantic colors.
datamaker-krchangelog-manager
Generate changelog entries from Git commits in Korean or English.
datamaker-krtdd-workflow
Guide development through Red-Green-Refactor cycles and Tidy First principles.
datamaker-krcommit-with-message
Generate Korean or English commit messages enforcing type, subject, body, and co-authorship conventions.
datamaker-krdocs-bootstrapper
Generate README.md, architecture.md, and API.md templates for software projects.
datamaker-krsynapse-upload-workflow
Automate file uploads from local or cloud storage to Synapse data collections.
datamaker-krsynapse-file-conversion
Convert incompatible image, video, and audio files to accepted formats before data uploads.
Frequently Asked Questions About datamaker
FAQPage SchemaWhat specific tasks can engineers perform using these capabilities?▼
Engineers can validate technical specifications for completeness, generate structured implementation plans, manage Git-based documentation, and convert multimedia assets into standardized annotation formats like COCO, YOLO, or Pascal VOC for machine learning pipelines.
Which technical personas benefit most from these features?▼
Software architects, technical leads, and machine learning engineers benefit from these features by enforcing consistency in specification documents, streamlining plugin development via Pydantic validation, and maintaining high-quality documentation through automated Git history analysis.
What are the prerequisites for implementing these plugin actions?▼
Implementation requires a configured environment supporting Pydantic for schema validation and access to the Synapse runtime context. Users must define plugin actions using the provided base classes to ensure compatibility with local, Ray Actor, or Ray Job execution modes.