michael-denyer/pstack-claudePublic

Claude Code, Codex, Pi, OpenCode, Gemini, and Prime Agent versions of Poteto's pstack. Rigorous agent workflows with Cursor primitives translated for other harnesses.

AI summary: Agent workflow skill stack translated for Claude Code, Codex, and other harnesses.

Stars
1.1K
Forks
127
Watchers
1
Open issues
3
Open PRs
3
Contributors
~10
Commits
165
Branches
3

JavaScriptMITCreated May 26, 2026Last push todayLatest release v0.9.64

Quick answers

What is pstack-claude?
Agent workflow skill stack translated for Claude Code, Codex, and other harnesses.
What does pstack-claude do?
This project provides rigorous agent workflows by porting Lauren Tan's pstack—an opinionated Cursor skill stack—to various agent harnesses like Claude Code, Codex, and Pi. It implements specific policy forks to guide coding agents in keeping code concise, simple, and verified. By utilizing poteto-mode, it automatically selects the optimal workflow for a given task. It also integrates with formal verification tools to address concurrency bugs and invariants.
Who is pstack-claude for?
Developers and AI practitioners building advanced agentic workflows and seeking rigorous coding constraints across different AI tools.
How do I get started with pstack-claude?
/plugin marketplace add michael-denyer/pstack-claude
How popular is pstack-claude on GitHub?
michael-denyer/pstack-claude has 1,117 stars and 127 forks on GitHub.
What license does pstack-claude use?
michael-denyer/pstack-claude is released under the MIT license.

Star history

since Oct 4, 2026

Star history is still being collected for this repository.

Contribution activity

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161 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Actively maintained

    Pushed within 48 hours

  • Permissive license

    MIT

  • Continuous integration

    Automated checks passing

What pstack-claude does

This project provides rigorous agent workflows by porting Lauren Tan's pstack—an opinionated Cursor skill stack—to various agent harnesses like Claude Code, Codex, and Pi. It implements specific policy forks to guide coding agents in keeping code concise, simple, and verified. By utilizing poteto-mode, it automatically selects the optimal workflow for a given task. It also integrates with formal verification tools to address concurrency bugs and invariants.

Developers and AI practitioners building advanced agentic workflows and seeking rigorous coding constraints across different AI tools.

  • Workflow routing: automatically invokes the correct policy workflow based on the stated goal.
  • Harness compatibility: runs natively in Claude Code, Codex, Pi, and other multi-agent environments.
  • Policy forks: maintains specific named policy forks declared in tools/forks.json.
  • Agent verification: integrates with TLA+ model checking and Lean proofs via a separate plugin.
  • Concise code enforcement: ensures AI-generated code remains simple and verified against objectives.

Where teams use it

Automate complex workflows

Use poteto-mode to select the right coding strategy for a task automatically.

Enhance agent reliability

Apply opinionated constraints to keep AI-generated code concise and maintainable.

Cross-platform agent execution

Run rigorous skill stacks across different harnesses like Claude Code and Gemini.

Formal code verification

Integrate with agent-formal-verify to check concurrency invariants using TLA+.

Getting started: /plugin marketplace add michael-denyer/pstack-claude

README

main branch

pstack

Lauren Tan's pstack is an opinionated Cursor skill stack that improves agent outcomes. This is a port for Claude Code, Codex, Pi and other agent harnesses. It tracks upstream and also carries named policy forks, each declared in tools/forks.json.

Tell poteto-mode your goal and it will invoke the correct workflow for the task. It keeps your code concise, simple and verified.

For concurrency bugs and invariants that tests cannot reach, see the separate agent-formal-verify plugin, which adds TLA+ model checking and Lean proofs.

Install

Claude Code

Run in Claude Code:

/plugin marketplace add michael-denyer/pstack-claude
/plugin install pstack@pstack-claude

Codex

Run in your terminal:

codex plugin marketplace add michael-denyer/pstack-claude
codex plugin add pstack@pstack-claude

Pi

Run in your terminal:

pi install git:github.com/michael-denyer/pstack-claude

The package loads the skills and the pstack Pi extension, which adds the subagent, question, and wake-up tools the skills use, plus /loop and the routing instruction. Invoke a skill with /skill:<name>.

Run setup-pstack to change model defaults, set a reasoning effort per role (for example arena runners: opus @xhigh, fable @max, which Claude Code dispatches through the plugin's pstack:effort-<level> or pstack:poteto-agent-<level> agents; roles without a level keep the session's effort unless the sheet's default effort line names one), or turn automatic routing off. The plugin installs the routing hook on Claude Code and Codex; Codex asks you to trust it through /hooks before it runs. On Pi the extension injects the same routing instruction. In Claude Code, use /pstack:setup-pstack.

For Prime Agent, OpenCode, Gemini CLI, or skills-only installs for any harness, see shared installation.

Getting started

Use poteto-mode to fix the search filter resetting when I change pages.

For a bug, it reproduces the failure, uses how and why to investigate, delegates the fix, then reruns the failing case. If the fix crosses a function boundary, it brings in architect before implementation. You receive the fix and the failing and passing evidence.

Other playbooks cover planning, features, refactoring, performance issues, investigations, prototypes, PR maintenance, shipping, and longer projects.

A request enters poteto-mode. Playbook options include Plan, Bugs, Features, and Refactor. Planning can use architect, arena, or swarm; review and verification can use interrogate, tests, and measurements. Supporting skills include how, why, and unslop. The output is Finished work validated.

Details

Data handling

pstack has no server or telemetry. Anything its skills ask your agent to read, including session transcripts, goes to your model provider. Scripts run locally, and PR tools use your GitHub CLI login.

Contributing

Thanks for helping make this port better. Bug reports, documentation fixes, and runtime improvements are welcome. See CONTRIBUTING.md for the checks and where your change belongs. Report vulnerabilities privately as described in SECURITY.md.

License

This port, including its modifications and additions, is also MIT-licensed, © 2026 Michael Denyer. Original pstack © 2026 Lauren Tan; imported cursor-team-kit skills © 2026 Cursor. See LICENSE-cursor-team-kit and NOTICE.md.

View on GitHub

Recent activity

commits and pull requests

Releases and announcements

26 total
  1. 0.9.64v0.9.64Oct 3, 2026

    See CHANGES.md

  2. 0.9.63v0.9.63Oct 3, 2026

    See CHANGES.md. This release also covers the versions since 0.9.57, which had no release of their own: - 0.9.63: the description starts with a capital - 0.9.62: no author email in the manifests - 0.9.61: Pi agents learn their depth from a flag - 0.9.60: orch and the watch-pr tests stop handing the whole environment to child processes - 0.9.59: no `$PWD` in the repository and no listing fields in `plugin.json` - 0.9.58: run pstack on Pi

  3. 0.9.57v0.9.57Oct 1, 2026

    See CHANGES.md

  4. 0.9.55v0.9.55Oct 1, 2026

    See CHANGES.md

  5. 0.9.54v0.9.54Oct 1, 2026

    See CHANGES.md

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161 commits in the last 52 weeks.

When work happens

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits148 (90%)
Community commits17 (10%)

165 commits in total over the last year.

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Oct 4, 2026daily#8+242
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