How do I install the Can1357 Oh My Pi skill?

Run npx skillmds add yanacuti1121/can1357-oh-my-pi in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Can1357 Oh My Pi safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Can1357 Oh My Pi?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Can1357 Oh My Pi free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Can1357 Oh My Pi?

yanacuti1121 (@yanacuti1121) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Can1357 Oh My Pi by yanacuti1121 — Agent Skill

Name: Can1357 Oh My Pi
Rating: 4.2 (5 reviews)
Author: yanacuti1121

File contents

omp (oh-my-pi): coding agent terminal-first với LSP và debugger wired in — không phải wrapper của IDE, mà là agent hiểu code như IDE hiểu.

Install

# macOS/Linux
curl -fsSL https://omp.sh/install -o /tmp/omp-install.sh
# Inspect first: head -40 /tmp/omp-install.sh — then run if safe:
sh /tmp/omp-install.sh

# Bun
bun install -g @oh-my-pi/pi-coding-agent

# Windows
irm https://omp.sh/install.ps1 | iex

Core Innovation: Hash-Anchored Edits

Thay vì: model rewrite dòng code (nhiều tokens, dễ lỗi whitespace)
omp dùng: content-hash anchors → model CHỈ point tới anchor + thay đổi cần làm

Kết quả: -61% output tokens trên same task

LSP Integration

Rename symbol → omp route qua workspace/willRenameFiles
→ tự động update re-exports, barrel files, aliased imports
→ agent biết mọi thứ IDE biết: go-to-definition, references, diagnostics

Debugger Support

Supports: lldb (C/C++/Rust), dlv (Go), debugpy (Python)
- Attach to segfaulting binaries
- Step through code, inspect frames
- Analyze goroutines in hanging services

32 Tools (8 categories)

File:     read, write, edit, ast_edit, search
Runtime:  bash, eval, ssh
Code:     lsp, debug
Coord:    task, irc, todo
External: browser, web_search, github
Memory:   retain, recall, reflect

Multi-Provider (40+)

Anthropic, OpenAI, Gemini, xAI Grok, Mistral, Ollama, llama.cpp
Role-based routing:
  default → standard turns
  smol    → cost-effective subagents
  slow    → deep reasoning
  plan    → strategic planning

Subagents trong isolated worktrees

// spawn subagent, results là schema-validated objects
const result = await agent.task({
  prompt: "analyze this module",
  worktree: true  // isolated, no merge conflicts
})

Import config tự động

Tự nhận: Cursor MDC, Cline rules, Codex AGENTS.md, Copilot settings — không cần migrate.

Source

https://github.com/can1357/oh-my-pi · MIT · +2318⭐/week

---name: can1357-oh-my-pidescription: omp — AI coding agent viết bằng Rust (27K lines), hash-anchored edits (-61% output tokens), LSP+debugger tích hợp, 32 tools, 40+ LLM providers. Fork của Pi platform.--- omp (oh-my-pi): coding agent terminal-first với LSP và debugger wired in — không phải wrapper của IDE, mà là agent hiểu code như IDE hiểu. ## Install ```bash # macOS/Linux curl -fsSL https://omp.sh/install -o /tmp/omp-install.sh # Inspect first: head -40 /tmp/omp-install.sh — then run if safe: sh /tmp/omp-install.sh # Bun bun install -g @oh-my-pi/pi-coding-agent # Windows irm https://omp.sh/install.ps1 | iex ``` ## Core Innovation: Hash-Anchored Edits ``` Thay vì: model rewrite dòng code (nhiều tokens, dễ lỗi whitespace) omp dùng: content-hash anchors → model CHỈ point tới anchor + thay đổi cần làm Kết quả: -61% output tokens trên same task ``` ## LSP Integration ``` Rename symbol → omp route qua workspace/willRenameFiles → tự động update re-exports, barrel files, aliased imports → agent biết mọi thứ IDE biết: go-to-definition, references, diagnostics ``` ## Debugger Support ``` Supports: lldb (C/C++/Rust), dlv (Go), debugpy (Python) - Attach to segfaulting binaries - Step through code, inspect frames - Analyze goroutines in hanging services ``` ## 32 Tools (8 categories) ``` File: read, write, edit, ast_edit, search Runtime: bash, eval, ssh Code: lsp, debug Coord: task, irc, todo External: browser, web_search, github Memory: retain, recall, reflect ``` ## Multi-Provider (40+) ``` Anthropic, OpenAI, Gemini, xAI Grok, Mistral, Ollama, llama.cpp Role-based routing: default → standard turns smol → cost-effective subagents slow → deep reasoning plan → strategic planning ``` ## Subagents trong isolated worktrees ```typescript // spawn subagent, results là schema-validated objects const result = await agent.task({ prompt: "analyze this module", worktree: true // isolated, no merge conflicts }) ``` ## Import config tự động Tự nhận: Cursor MDC, Cline rules, Codex AGENTS.md, Copilot settings — không cần migrate. ## Source https://github.com/can1357/oh-my-pi · MIT · +2318⭐/week

Frequently asked questions