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Use when classifying a computational math repository or task into a broad domain before choosing specialist Skills, references, runtimes, and validation evidence.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Route AI4Math computational mathematics tasks to the appropriate bundled skill package.
Use when reproducing, deploying, diagnosing, tuning, visualizing, or reporting computational math research code with a coding agent
This skill should be used when the user asks to search for external algorithms, find related implementations, discover alternative approaches, or look up papers and code for computational math optimization methods.
This skill should be used when the user asks to tune parameters, run hyperparameter search, optimize algorithm settings, or find the best configuration for a computational math method.
Use when a user starts an end-to-end computational math research-code reproduction, deployment, tuning, visualization, or reporting workflow with a coding agent.
This skill should be used when the user asks to detect what algorithm family a piece of code uses, identify optimization methods, or classify computational math approaches such as ADMM, PPA, proximal gradient, or primal-dual methods.
| name | computational-math-domain-skill |
| description | Use when classifying a computational math repository or task into a broad domain before choosing specialist Skills, references, runtimes, and validation evidence. |
This Skill routes a user goal, paper code repository, or local source tree into a broad computational math domain. It keeps the project from creating one Skill per domain too early: most domains begin as reference cards here, and only become standalone specialist Skills after they need their own workflow, scripts, failure modes, and evals.
For end-to-end reproduction workflows, this Skill is selected by computational_math_reproduction_workflow_skill before deeper specialist Skills.
matlab_runtime_skill for MATLAB execution boundaries.Read references/INDEX.md first. It routes observable signals to compact domain cards:
Continuous optimization is currently the first mature specialist domain. If the index routes to continuous optimization with enough evidence, continue with continuous_optimization_skill.
references/INDEX.md to identify candidate domains.repo_reproduction_skill, failure_diagnosis_skill, visualization_skill, and report_generation_skill.In conversation or in plan.md, summarize:
If evidence is ambiguous, ask for human review before treating the classification as settled.