Create technical specifications, ADRs, and project context documentation that prevents technical debt. Use when designing system architecture, making technology decisions, or establishing project structure. Enforces spec-driven development by creating immutable constraint files (tech-stack.md, source-tree.md, dependencies.md) that AI agents must follow.
EnglishValidates code quality through hybrid progressive validation (light checks during development, deep analysis after completion). Enforces test coverage (95%/85%/80% strict thresholds), detects anti-patterns, validates spec compliance, and analyzes code quality metrics. Use when validating implementations, ensuring quality standards, or preparing for release.
EnglishOrchestrate production releases with deployment automation, smoke testing, rollback capabilities, and release documentation. Use after QA approval to deploy stories to production. Supports multiple deployment strategies (blue-green, canary, rolling, recreate) and environments (staging, production). Enforces release gates and maintains deployment audit trail.
EnglishCreate user stories with acceptance criteria, technical specifications, and UI specifications.
EnglishIncludes Devforgeai Architecture, Devforgeai QA, Devforgeai Release, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
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What’s included
Devforgeai Architecture
Create technical specifications, ADRs, and project context documentation that prevents technical debt. Use when designing system architecture, making technology decisions, or establishing project structure. Enforces spec-driven development by creating immutable constraint files (tech-stack.md, source-tree.md, dependencies.md) that AI agents must follow.
Devforgeai QA
Validates code quality through hybrid progressive validation (light checks during development, deep analysis after completion). Enforces test coverage (95%/85%/80% strict thresholds), detects anti-patterns, validates spec compliance, and analyzes code quality metrics. Use when validating implementations, ensuring quality standards, or preparing for release.
Devforgeai Release
Orchestrate production releases with deployment automation, smoke testing, rollback capabilities, and release documentation. Use after QA approval to deploy stories to production. Supports multiple deployment strategies (blue-green, canary, rolling, recreate) and environments (staging, production). Enforces release gates and maintains deployment audit trail.
Devforgeai Story Creation
Create user stories with acceptance criteria, technical specifications, and UI specifications. Use when transforming feature descriptions into structured stories, generat
Quick start
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After installation, start with a request like:
Use the Devforgeai Architecture skill to help with my task.
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