Subagent Review Tier Calibration for Overnight PR Chains
Calibrate review intensity per-PR when orchestrating a long chain (10+ PRs) of independent tasks overnight from a single implementation plan. Use when: (1) running superpowers:subagent-driven-development against a plan that produces many independent PRs (not stacked PRs from an issue cluster — for that shape use overnight-multi-issue-implementation), (2) user has authorized auto-merge on green review, (3) the user is asleep / unavailable to merge between tasks, (4) the chain spans multiple risk tiers (some PRs rewrite views/handlers, others restyle CSS only). The skill prescribes three review tiers — full two-stage / combined single-agent / bash-only verification — and a decision rubric for picking the right tier per PR to maximize overnight throughput WITHOUT silently approving real bugs. Sister to subagent-driven-development (specializes its review step for throughput-tuned chains) and overnight-multi-issue-implementation (different problem shape — issues vs. plan tasks; stacked vs. independent). Symptom of having ignored this: orchestrator dispatches 14 × 2 = 28 review subagents in one session when 14 × 1 + 5 × 0 would have caught the same bugs in half the wall time.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryDeveloper toolsStars0
About this skill
Calibrate review intensity per-PR when orchestrating a long chain (10+ PRs) of independent tasks overnight from a single implementation plan. Use when: (1) running superpowers:subagent-driven-development against a plan that produces many independent PRs (not stacked PRs from an issue cluster — for that shape use overnight-multi-issue-implementation), (2) user has authorized auto-merge on green review, (3) the user is asleep / unavailable to merge between tasks, (4) the chain spans multiple risk tiers (some PRs rewrite views/handlers, others restyle CSS only). The skill prescribes three review tiers — full two-stage / combined single-agent / bash-only verification — and a decision rubric for picking the right tier per PR to maximize overnight throughput WITHOUT silently approving real bugs. Sister to subagent-driven-development (specializes its review step for throughput-tuned chains) and overnight-multi-issue-implementation (different problem shape — issues vs. plan tasks; stacked vs. independent). Symptom of having ignored this: orchestrator dispatches 14 × 2 = 28 review subagents in one session when 14 × 1 + 5 × 0 would have caught the same bugs in half the wall time.
Quick start
Copy the install prompt. Use the green button above this README.
Send it to your agent. Paste it into your coding agent’s chat and send.
Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Calibrate review intensity per-PR when orchestrating a long chain (10+ PRs) of independent tasks overnight from a single implementation plan. Use when: (1) running `superpowers:subagent-driven-development` against a plan that produces many independent PRs (not stacked PRs from an issue cluster — for that shape use `overnight-multi-issue-implementation`), (2) user has authorized auto-merge on green review, (3) the user is asleep / unavailable to merge between tasks, (4) the chain spans multiple risk tiers (some PRs rewrite views/handlers, others restyle CSS only). The skill prescribes three review tiers — full two-stage / combined single-agent / bash-only verification — and a decision rubric for picking the right tier per PR to maximize overnight throughput WITHOUT silently approving real bugs. Sister to `subagent-driven-development` (specializes its review step for throughput-tuned chains) and `overnight-multi-issue-implementation` (different problem shape — issues vs. plan tasks; stacked vs. independent). Symptom of having ignored this: orchestrator dispatches 14 × 2 = 28 review subagents in one session when 14 × 1 + 5 × 0 would have caught the same bugs in half the wall time.
About this listing
Category
Developer tools
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.