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Reduce AI build errors by enforcing clean context discipline: curated inputs, minimal file payloads, and explicit update loops.
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Use when a conversation is getting long, drifting, juggling multiple tasks, re-pasting the same files, or showing stale/confused context — and at the start of any new task. Triggers: long thread, context bloat, topic switch, repeated file uploads, 'why is it forgetting', degraded answers, finished one task and starting another.
Use when a user wants to deconstruct a complex problem, business challenge, product decision, strategy question, career crossroads, or stuck situation by stripping assumptions, identifying first principles, rebuilding options from foundational truths, and choosing one high-leverage action.
Audit role-based access control and permission drift across product surfaces.
Add a new feature to an existing @fabrk/* package following monorepo conventions
Build or rebuild the ADR index and dependency graph in AgentDB
Query AgentDB with semantic routing, hierarchical recall, causal graphs, and context synthesis
Based on SOC occupation classification
| name | clean-context-engineering |
| description | Reduce AI build errors by enforcing clean context discipline: curated inputs, minimal file payloads, and explicit update loops. |
Use this skill when model outputs drift, loop, or hallucinate due to noisy context.
