Articles, tutorials, and announcements
How Datarim preserves the operator's original intent across pipeline stages — from PRD through QA and compliance — using a structured expectations file that blocks on missed wishes.
Read more →How Datarim turns a written implementation plan into tracked, verified execution — with explicit checkpoints, a stop-and-ask rule, and a mandatory finishing phase.
Read more →How Datarim proposes and applies improvements to its own framework after compliance, on demand, and on explicit request — while keeping every change human-approved and independently reversible.
Read more →How Datarim's dream skill keeps the datarim/ directory healthy — finding misplaced artefacts, flagging contradictions, deduplicating content, and rebuilding the index.
Read more →How /dr-next reads a stage snapshot, validates it, assembles the resume prompt, and routes to the right next command — without re-reading the full task history.
Read more →How Datarim detects and resolves task-ID conflicts that occur when two parallel sessions reserve the same identifier in the window between /dr-init and /dr-archive.
Read more →/dr-spec is retired. The same graph validator that traced every requirement to its evidence now runs automatically inside /dr-prd, /dr-plan, /dr-do, /dr-qa, and /dr-compliance — no extra step, no separate invocation.
Read more →A short note on a deprecated skill alias and where its consumer contract moved.
Read more →How the dispatching-parallel-agents skill eliminates sequential investigation of independent failures by dispatching isolated agents to each problem domain simultaneously and integrating their results.
Read more →How the discovery skill structures requirements gathering as a one-question-at-a-time interview where every question comes with a proposed answer — making the process faster and reducing ambiguity before implementation starts.
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