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Auto tinker queue

Skill NolanCassidy/auto-tinker/skills/auto-tinker-queue

Local-first, chat-operated developer experiments, learning history, and approval-gated publishing.

Install
npx -y skills add NolanCassidy/auto-tinker --skill auto-tinker-queue

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What its author says it does

Copied from the file, not written here

Change local Auto-Tinker candidate and queue state by listing, starring, ranking, scheduling, grouping, blocking, deferring, skipping, or selecting items. Use for ordering or picking work only; this skill does not execute experiments.

SKILL.md

2.2 KB, 434 tokens by cl100k_base, as published. Nobody here has run it

Auto-Tinker Queue

Keep the human in control of what runs and why.

Invoke the CLI as auto-tinker; from an unlinked source checkout use npm --prefix <auto-tinker-product-repo> run cli -- followed by the same arguments.

Workflow

  1. Run auto-tinker goal show and auto-tinker queue list --workspace <path> --json; preserve returned goal/candidate/queue IDs.
  2. Translate conversational changes into explicit auto-tinker queue update <id> calls using --starred, --priority, --rank, --scheduled-for, --blocked-reason, --goal, --goal-contribution, --distraction-risk, or --status.
  3. Read the queue again and verify exact resulting order/state.
  4. For selection, run auto-tinker queue next --count <n> --workspace <path> --json. Never substitute the highest discovery score for this command's policy-aware result.
  5. Present selected scope, time, prerequisites, machine fit, privacy, main-goal contribution, distraction risk, and a copyable $auto-tinker-run prompt. Stop without executing it.

Read queue-policy.md for states, precedence, and batch selection.

Rules

  • Manual rank, pin/star intent, block, and explicit schedule beat automated scores.
  • Never silently rewrite the user's goal to improve ranking.
  • Keep exactly one active main goal. A manually selected distraction is allowed, but label its tradeoff instead of pretending it advances the goal.
  • Do not select blocked, skipped, archived, duplicate, incompatible, or unreviewed-risk candidates.
  • A queue selection changes local state only. It does not authorize planning, code execution, GitHub mutation, or unrelated filesystem changes.
  • Starting multiple items does not override configured concurrency or resource limits.
  • Keep an actionable goal and next action on ready work; send unclear items back for refinement.

Return the final ordered list, changes made, selected IDs, exclusions with reasons, and a copyable run prompt.

What ships with it: 2 files

1.8 KB alongside SKILL.md

agents/

references/

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