Define and enforce shared output, read, and loop-safety policies across AIDD stages.
npx skills add https://github.com/GrinRus/ai_driven_dev --skill aidd-policy
Please help me install this Agent Skill. Skill: aidd-policy Source: https://github.com/GrinRus/ai_driven_dev/tree/main/skills/aidd-policy Command: npx skills add https://github.com/GrinRus/ai_driven_dev --skill aidd-policy
Defines and enforces a shared policy contract for output formats, reading discipline, question formats, and loop safety across all AIDD stages, reducing ambiguity and drift.
Integrate this policy skill at the start of any stage to enforce standard output contracts and loop-safety rules.
High-intent search queries and answers about installing and using this skill.
To enforce consistent policy across subagents, integrate the policy skill at the start of any stage to apply standard output contracts and loop-safety rules during cross-stage coordination.
You can enforce loop-safety and read policies across multiple AI agents by applying a central policy governance contract that standardizes output structures, read discipline, and QA gates for cross-stage coordination.
Yes, cross-stage policy governance works for the full development cycle by ensuring consistent policy application during the idea, research, plan, review-spec, tasklist, implement, review, and QA stages.
You need standardized question formats to streamline agent interactions, ensure compliant executions, and maintain consistent output contracts across all AIDD stages.
Applying policy governance manually across stages introduces ambiguity and drift, failing to guarantee the functional requirements of output-contract structure, read-policy rules, and loop-safety commitments during cross-stage coordination.
Integrate output-contract rules for cross-stage coordination by applying a central policy skill at the start of any stage, specifying functional requirements and canonical runtime usage guidance for subagents.
GrinRusCoordinate and persist active-stage, progress, tasklist, and stage-result state across AI-assisted workflows.
seokan-jeongExecute micro-tasks with enforced spec and code-quality reviews.
GrinRusProvide canonical Python entrypoints for markdown slicing, patching, and context expansion.
GrinRusRun the implement stage loop and emit a canonical stage result JSON.
