Cost time optimizer
Skill alainlebret/claude-agents/higher-ed-teaching-agents/skills/cost-time-optimizer
Modular skill and workflow ecosystems for AI coding assistants. Structured, multi-agent pipelines for specialized professional domains.
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Optimizes workflow execution for latency, token usage, and unnecessary artifact generation while preserving quality gates. Use before or during orchestration to reduce turnaround time and operating cost.
SKILL.md
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Cost Time Optimizer
Goal
Minimize execution cost and runtime without reducing required quality, policy compliance, or reproducibility.
Inputs
workflow-spec.jsonexecution-plan.json(if available)- Existing artifacts in run directory
- Request constraints (deadline, depth, mandatory outputs)
Produce
Write optimization-plan.json with:
baseline_plan_summarypruning_actionsparallelization_actionsreuse_actionsprompt_budget_policyexpected_savings(time and token estimate)risk_controls
Optimization policy
- Prune optional skills that do not affect user-stated outcomes.
- Reuse validated existing artifacts when skip conditions permit.
- Parallelize independent optional steps.
- Downscope overlong narrative artifacts when rubric/spec coverage is unchanged.
- Preserve all
requiredquality gates.
Guardrails
- Never remove mandatory artifacts or required skills.
- Never bypass validation tools.
- If optimization increases semantic risk, downgrade confidence and require manual confirmation.
Rules
- Prefer deterministic, auditable reductions over aggressive heuristics.
- Every optimization action must include expected gain and rollback condition.