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Get Started Free →udecode/linear-backlog
Run a scoped Linear backlog autonomously as a sequence of maximal safe parallel batches by composing orchestrator, autogoal, and task.
Passed 18 of 21 test cases with the skill, and 8 of 21 without it.
and 17 more in the full report
12 fixed7 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
A scope of 5 dependency-ready tickets has no explicit ordering set in Linear. How should the initial queue order be established?
| Checked | Without skill | With skill |
|---|---|---|
| Sorts ready issues by priority first as fallback. | Missed | Passed |
| Sorts equal priority issues by oldest creation time. | Missed | Passed |
The instructions your model reads when the skill loads.
Run a frozen Linear queue as serial batches with parallel execution inside each
batch. Keep the parent as controller; send every implementation issue through
orchestrator, autogoal, and the repo's task skill.
Require all of these before mutation:
$orchestrator with durable Codex child-thread tools.$autogoal and its goal tools.$task skill and AGENTS instructions.If a capability is missing, report the exact dependency. Never replace durable child threads with hidden sub-agents or fake Linear state transitions with comments.
$linear-backlog run <scope>: execute the queue in maximal safe parallel
batches.$linear-backlog status: report counts, active batch and lanes, conflict
groups, blocked issues, and the next candidate batch.$linear-backlog stop: stop after parking every active lane safely and
recording resumable state.Scope may be a Linear project, cycle, label, saved view, or explicit issue list. If the prompt and current context do not identify exactly one scope, ask one short question before mutation.
test cases passed, vs 8 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.