What problem does it solve? Multi-step coding work loses context across sessions, tools, and agents: plans live in chat history, parallel agents collide on the same files, and research findings get re-derived from scratch. This Skill defines a default protocol where plans, tasks, claims, research, and lessons all live in Dibs (an MCP-backed task tracker), so any session or tool can resume work cold. ## Core Features & Use Cases - Plan and task tracking in Dibs: Plans are plan-labeled issues with child task issues, claimed via process-verified todo_claim leases so two agents cannot edit the same task concurrently. - Orchestrator/worker delegation with model tiering: Bounded tasks are delegated to the cheapest capable model across Claude Code, opencode, Codex, or agy, with automatic escalation rules and worker launch reporting. - Shared research and lessons stores: research-labeled issues are checksum-versioned against the files they cover, and lesson-labeled issues capture durable non-code gotchas, checked before and updated after any work. - Use Case: You ask for a multi-phase refactor. The orchestrator scaffolds a Dibs plan with child tasks, spawns cheap-model workers for bounded pieces, heartbeats their claims, reviews results against acceptance criteria, and a fresh session next week resumes the plan from Dibs alone. ## Quick Start Ask the agent to plan and execute a multi-step coding task using the orchestrator-worker protocol with a Dibs plan issue.