Enforce D workflow invariants for iterative project execution.
npx skills add https://github.com/Arcanada-one/datarim --skill datarim-system
Please help me install this Agent Skill. Skill: datarim-system Source: https://github.com/Arcanada-one/datarim/tree/main/skills/datarim-system Command: npx skills add https://github.com/Arcanada-one/datarim --skill datarim-system
It prevents inconsistent, untraceable, and poorly structured AI-assisted work by centralizing Datarim’s workflow and storage invariants into a single “load first” ruleset.
Load the datarim-system skill first so subsequent fragments correctly apply paths, numbering, backlog/routing rules, and archive/reflection invariants for your current project.
High-intent search queries and answers about installing and using this skill.
To prevent schema drift in iterative AI-assisted project execution, load a centralized workflow ruleset first to enforce strict YAML frontmatter identity discovery, thin index file schemas, and canonical routing invariants across all project tasks.
Standardize task routing by applying deterministic L1–L4 stage routing rules and a unified command namespace (/dr-) to manage the full task lifecycle from requirements and planning through execution, QA, compliance, reflection, and archival.
Maintain traceable state tracking by using thin operational indexes like tasks.md, backlog.md, and activeContext.md as one-line-per-task pointers, keeping iterative state in datarim/ while routing long-term archives to documentation/archive/.
Yes, enforcing workflow invariants requires strict path resolution rules that mandate correct task-ID formats, block forbidden directories, disallow overrides for security-critical skills, and define safe storage boundaries.
Workflow state becomes inconsistent during archival without enforced reflection behavior at archive Step 0.5 and canonical archive mapping, which prevent untraceable state transitions and ensure safe long-term knowledge storage.
Yes, you can manage compliance and reflection stages using the standard /dr-* command workflow, which applies canonical routing invariants to safely transition tasks through execution, QA, and archival.
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