pstack-claude
Enables consistent, reproducible agentic workflows across multiple AI platforms by standardizing Cursor primitives, reducing vendor lock-in and allowing team…
Claude Code, Codex, Pi, OpenCode, Gemini, and Prime Agent versions of Poteto's pstack. Rigorous agent workflows with Cursor primitives translated for other harnesses.
- Ask Claude to execute multi-step coding tasks using structured agent workflows without manual intervention.
- Generate code implementations by breaking complex problems into sequential cursor-based primitives automatically.
- Automate repetitive development patterns across different AI models with consistent workflow definitions.
Enables consistent, reproducible agentic workflows across multiple AI platforms by standardizing Cursor primitives, reducing vendor lock-in and allowing teams to leverage best-of-breed tools without rebuilding processes.
Engineering teams standardizing multi-model AI agent workflows across Claude, Gemini, and other platforms.
https://github.com/michael-denyer/pstack-claude
By michael-denyer
How to Get It
claude plugins install michael-denyer/pstack-claude
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Execute multi-step coding tasks using structured agent workflows without manual intervention
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Show HN: An application stack Claude coded directly in LLVM IR — Hacker News · 10 pts
- What tech stack Claude Code defaults to when building apps — Hacker News · 6 pts
- Show HN: UI-stack – Claude skill that enforces design system on AI-generated UI — Hacker News · 2 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 791 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 791 GitHub stars; contributors unknown; last commit 0d ago; license MIT.