Next Task — prioritize backlog items by speed/value

SkillProductivity

Pick the next task from the Linear backlog with the best speed/value ratio

Available today. Use it from your connected AI after setup.

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Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Next Task — prioritize backlog items by speed/value skill

What this skill tells your AI

The instructions your AI receives, as published by villetakanen/asdlc-io in .agents/skills/next-task/SKILL.md and read by ahel’s review.

Pick the next task from the Linear backlog with the best speed/value ratio.

In scope: querying Linear backlog, ranking tasks by speed/value, proposing recommendations with rationale.
Out of scope: implementing tasks (dev, assemble), modifying specs (spec), creating new PBIs (lead).

Fetch backlog: List all issues in Backlog state for the ASDLC team from Linear.
Read comments: For every issue returned, fetch its comments. Comments often contain context that changes priority or flags blockers (e.g., "defer this", "needs human supervision").
Evaluate: Rank issues by speed/value — consider:
- Priority (Urgent > High > Medium > Low)
- Estimated effort (smaller = faster value)
- Comments that defer, block, or add context
- Dependencies between issues
Propose: Present a ranked table with columns: Issue, Priority, Effort estimate, and Recommendation. Flag any deferred or blocked items with the reason from comments.
Recommend one task as the best pick and wait for user confirmation before starting work.

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