Codify GSD core patterns into reusable project planning guidance.
npx skills add https://github.com/hq-opensource/predictive-control --skill gsd-core
Please help me install this Agent Skill. Skill: gsd-core Source: https://github.com/hq-opensource/predictive-control/tree/main/.agent/skills/gsd-core Command: npx skills add https://github.com/hq-opensource/predictive-control --skill gsd-core
GSD-core codifies core patterns and practices to accelerate high-quality AI-driven planning work, reducing ambiguity and rework.
Provide your phase goal and context, and let GSD-core generate the phase plan and artifacts
High-intent search queries and answers about installing and using this skill.
AI-led project planning is structured by codifying goals, requirements, and task plans into reusable scaffolds. This approach standardizes artifacts across phases, reducing ambiguity and rework for product teams and engineers.
Standardizing planning artifacts with YAML frontmatter involves embedding skill metadata into Markdown files. This method supports consistent artifact generation by providing structured, machine-readable context alongside human-readable planning documentation.
Yes, GSD-core patterns support verification-centric workflows like test-driven development and checks. These patterns ensure consistent quality by integrating validation steps directly into your AI-driven planning and task execution phases.
Provide your phase goal and context to let the system generate the phase plan and artifacts. It uses questioning, framing, and validation patterns to clarify problems, structure outcomes, and manage state across the project lifecycle.
No external dependencies are required to manage planning state. The system relies on Markdown-based frontmatter and optional resources or templates to standardize artifact generation and maintain state across project phases.
AI-driven project planning often results in rework due to unstructured prompts and缺乏 verification patterns. Codifying core patterns into reusable guidance clarifies problems and outcomes, ensuring consistent quality and reducing iterative cycles.
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