Claude Code Loops Operator
Turn a coding task into the smallest, safest Claude Code loop primitive that runs until a verifiable stop condition is met.
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工具选择、状态跟踪、副作用确认与失败恢复,适合设计可审计的自动化流程。
By Easy Prompt 编辑部 · 12 prompts
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Turn a coding task into the smallest, safest Claude Code loop primitive that runs until a verifiable stop condition is met.
Reconstruct prompt-heavy enterprise LLM prototypes into a traceable, auditable, code-owned agent architecture by moving behavior into manifests, schemas, validators, and runtime gates.
Design self-improving LLM agent context systems that treat context as an evolving playbook, using incremental deltas to defeat brevity bias and context collapse.
Evaluate AI agents by their control decisions and trajectory quality using a six-state taxonomy and failure taxonomy, not just final outcomes.
Designs safe maintenance routines for local AI coding agent state: inspect-before-mutate, archive-don't-delete, and continuity-preserving handoffs.
Optimize frozen-LLM skill documents with neural-network training discipline: rollout forward passes, reflection backprop, gradient clipping, and validation-gated acceptance producing deployable best_skill.md.
Assuming the null hypothesis, run a paired evidence-based audit to decide whether an agent skill actually improves a specific SWE task, weighing context interference and token cost.
Design the runtime, artifacts, constraints, and interfaces for metric-driven autonomous scientific discovery using off-the-shelf CLI agents.
Design memory subsystems for long-running agents as first-class data-management systems, covering representation, extraction, retrieval/routing, maintenance, and measurable evaluation.
Design an end-to-end cost-observability and budget-governance system for AI coding agents: cross-provider price normalization, real-time dashboards, budget gates, anomaly detection, and optimization loops.
Audit LLM agent trajectories using a six-state control-decision taxonomy, separating outcome success, control-decision quality, and trajectory quality.
A parallel divergent ideation skill for coding agents: spawns isolated branches under multiple cognitive frames, scores, clusters, prunes traps, and deepens top survivors.