AIAny
AI Agent2026
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pstack-claude

Adapts pstack’s rigorous coding workflows for Claude Code, Codex, Copilot, Pi, and other agent harnesses. Task routing, parallel delegation, and verification help agents produce concise, checkable code.

Introduction

More code from an agent is not necessarily more progress: the hard part is getting work that is simple, correct, and verifiably finished. This project’s central idea is to encode an engineering workflow around agents, so tasks are investigated, delegated, reviewed, and checked rather than handled as a single unstructured code-generation request.

What Sets It Apart
  • It ports Cursor’s pstack skills into the native conventions of several agent harnesses, reducing the need for agents to translate tool names and workflow instructions on the fly.
  • poteto-mode routes a task to a relevant playbook, with investigation, planning, delegation, and verification as appropriate. That gives teams a repeatable process instead of relying on a long, generic prompt.
  • Its workflows emphasize reproducing failures and rerunning checks after changes; formal-verification skills can also help examine selected invariants with tools such as TLA+, Lean, or Kani. This is useful when ordinary tests leave important behavior uncertain.
  • The same skill stack can be used across multiple harnesses, although automatic routing and available tools vary by runtime.
Who It’s For

Great fit for developers who already use coding agents and want structured delegation, review, and evidence that a change works. Look elsewhere if you want a standalone coding application, a model, or a workflow that requires no configuration: this project supplies agent skills and orchestration conventions, while execution depends on the chosen harness, model provider, and local setup.

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