Produces a constraint-intervention plan that names the single binding constraint capping a system's throughput and attaches its exploit, subordinate, and elevate decisions, after testing capacity versus demand at each step to confirm that step is genuinely the rate-limiter rather than the loudest one. Use when a system has a clear flow (a pipeline, a funnel, a queue, an approval chain, a production line) whose output is capped by one step and improvement effort is being spread evenly across all steps instead of aimed at the bottleneck. Not for coverage questions (route to think-issue-tree), recurring deep-cause questions (route to think-iceberg-model), or accumulation-trajectory questions (route to think-stocks-and-flows-reasoning).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategorySecurityStars0
About this skill
Produces a constraint-intervention plan that names the single binding constraint capping a system's throughput and attaches its exploit, subordinate, and elevate decisions, after testing capacity versus demand at each step to confirm that step is genuinely the rate-limiter rather than the loudest one. Use when a system has a clear flow (a pipeline, a funnel, a queue, an approval chain, a production line) whose output is capped by one step and improvement effort is being spread evenly across all steps instead of aimed at the bottleneck. Not for coverage questions (route to think-issue-tree), recurring deep-cause questions (route to think-iceberg-model), or accumulation-trajectory questions (route to think-stocks-and-flows-reasoning).
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.
Produces a constraint-intervention plan that names the single binding constraint capping a system's throughput and attaches its exploit, subordinate, and elevate decisions, after testing capacity versus demand at each step to confirm that step is genuinely the rate-limiter rather than the loudest one. Use when a system has a clear flow (a pipeline, a funnel, a queue, an approval chain, a production line) whose output is capped by one step and improvement effort is being spread evenly across all steps instead of aimed at the bottleneck. Not for coverage questions (route to think-issue-tree), recurring deep-cause questions (route to think-iceberg-model), or accumulation-trajectory questions (route to think-stocks-and-flows-reasoning).
About this listing
Category
Security
Reported license
Apache-2.0
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.