Neuron-Mr-WhiteCommunity·39 Agent Skills Included

UniPi

Structured coding workflows, memory, and parallel execution for Pi

Turns the Pi coding agent into a full development workstation with 22 connected packages. Runs brainstorm-to-merge pipelines, long-running task loops, persistent memory, and parallel subagents without manual coordination. Adds web research, image generation, push notifications, context compaction, and a live status bar to speed up daily coding work.

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npx skills add Neuron-Mr-White/UniPi --all -g -y

All Skills in This Repository (39)

Pure Emerald Level Indicators

📦 In Repo

Neuron-Mr-White

ralph

Manage long-running iterative development loops with persistent state tracking.

kanboard-doctor

Diagnose and resolve parsing errors in Kanboard workflow documents.

notify

Generate platform-specific notifications for critical events and task completions.

configure-notify

Configure notification settings for native OS, Gotify, Telegram, and ntfy platforms.

btw

Manage parallel conversation threads while preserving task state across interruptions.

explore

Search and read codebase files using grep, find, and ls commands.

work

Manage parallel file writes with transparent locking for concurrent modifications.

memory

Store, retrieve, and organize persistent memories across sessions.

ask-user

Collects structured user input via predefined questions and options for AI workflows.

cocoindex

Index project content with semantic vector and full-text search using LanceDB.

milestone-onboard

Generate a MILESTONES.md file from workflow documentation.

milestone-update

Synchronize milestone tracking between MILESTONES.md and workflow documents.

Community

Intermediate

Frequently Asked Questions

FAQPage Schema

How to install UniPi?▼

Run `npx skills add Neuron-Mr-White/UniPi --all -g -y` in your terminal to install all skills in this suite globally.

What does UniPi add to the Pi coding agent?▼

It adds 22 packages covering structured workflows (brainstorm, plan, work, review, merge), persistent memory, parallel subagents, web research, notifications, and context compaction, all wired together through a shared event system.

How do I take an idea to shipped code with UniPi?▼

Run `/unipi:auto` to execute the full pipeline: brainstorm a design spec, generate an implementation plan, execute tasks in an isolated worktree, review the work, and merge back to main.

Can UniPi handle long-running coding tasks?▼

Yes. The Ralph package runs iterative loops that persist across sessions, so multi-step tasks survive crashes and restarts with progress tracked in a checklist file.

Does UniPi require coding experience to use?▼

Basic terminal familiarity helps, but the agent follows each skill file step by step and asks structured questions at decision points, so you mostly guide it in plain English.