@krone9/pi-superpowers

Process-discipline skills bundle for pi (brainstorming, systematic debugging, TDD, plans, verification, worktrees, parallel agents). Inspired by Claude Code's superpowers plugin.

Packages

Package details

skill

Install @krone9/pi-superpowers from npm and Pi will load the resources declared by the package manifest.

$ pi install npm:@krone9/pi-superpowers
Package
@krone9/pi-superpowers
Version
0.1.0
Published
May 7, 2026
Downloads
81/mo · 81/wk
Author
krone9
License
MIT
Types
skill
Size
50.6 KB
Dependencies
0 dependencies · 0 peers
Pi manifest JSON
{
  "skills": [
    "./skills"
  ]
}

Security note

Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.

README

pi-superpowers

A process-discipline skills bundle for pi — the minimal terminal coding agent by Mario Zechner.

Inspired by Claude Code's superpowers plugin, this package ships a set of Agent Skills that nudge pi toward better engineering habits: brainstorming before building, structured debugging, TDD, written plans, verification before claiming "done", and isolated work via git worktrees.

Skills auto-load and the model picks the right one based on your request — no slash-commands required.

Install

# From npm (once published)
pi install npm:pi-superpowers

# From git
pi install git:github.com/krone9/pi-superpowers

# From a local clone (for development)
pi install /absolute/path/to/pi-superpowers

Add -l to install into a project's .pi/settings.json instead of global.

Verify installation:

pi list

You should see the package listed; on next pi startup the skills appear in the header.

What's included

Each skill is a markdown file with name + description frontmatter. Pi loads the descriptions into its system prompt at startup; full instructions are pulled in on-demand when the model decides a skill applies (or when you force one with /skill:name).

Skill When pi will reach for it
using-superpowers Bootstrap — instructs the model to check skills before responding
brainstorming New feature, vague goal, "what should we build…"
writing-plans Multi-step changes that should be planned before coding
test-driven-development Adding behavior that can be tested
systematic-debugging Bug reports, unexpected behavior, regressions
verification-before-completion Before claiming a task is done
using-git-worktrees Isolated feature/experiment branches
dispatching-parallel-agents 2+ independent tasks that can run concurrently
writing-skills Authoring a new skill

Workflow skills (ported from Claude Code)

These mirror Andy's ~/.claude/skills/ set — process/logging/git helpers. Pi auto-loads them by description; you can also force-load any with /skill:<name>.

audit-structure, brief, changes, commit, debt, dependencies, log, nextsteps, optimise, restart, review, rollback, rules, scaffold, security, staging, status, wrapup

Customise

Skills are plain markdown — fork, edit, or add your own under skills/<your-skill>/SKILL.md. The name field must match the parent directory.

Caveat

Pi runs many providers. Forced skill-checking is prompt persuasion, not a tool the model is trained on. Capable models (Claude, GPT-4-class, Gemini Pro) follow the bootstrap reliably; smaller models may ignore it. The skills themselves work everywhere — only the always-check-first nudge depends on model strength.

Credit

Concept and skill names adapted from the Claude Code superpowers plugin by Anthropic. Reimplemented for pi's skills system. Not affiliated with Anthropic or pi.dev.

License

MIT