Skills Development Pi Coding Agent For Terminal Development

Pi Coding Agent For Terminal Development

v20260726
pi-agent
Pi Agent is a highly extensible, minimal terminal coding harness designed for building sophisticated AI applications and complex workflows. It enables developers to integrate custom AI providers, local models (via llama.cpp router), skills, and TUI components. Use it for everything from basic command execution and data parsing to advanced orchestration, web search, and structured interaction via SDK, RPC, or JSON event streams.
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Overview

Pi Agent

Use this skill when the user wants to operate Pi or build on top of Pi. Pi is a minimal terminal coding harness extended through TypeScript extensions, skills, prompt templates, themes, packages, custom models/providers, SDK integrations, RPC mode, JSON event streams, and TUI components.

First Decision

Pick the reference before answering or coding:

User intent Read
What Pi is, docs map, install methods references/overview.md
Install, authenticate, first run references/quickstart.md
Day-to-day CLI usage, commands, modes, flags, project trust references/usage.md
Provider auth, API keys, cloud provider setup references/providers.md
Custom model entries, local models, proxies, compat flags references/models.md
Local llama.cpp router, /llama, model download/load references/llama-cpp.md
Settings keys and defaults references/settings.md
PI_* and other environment variables references/environment-variables.md
Extension development, custom tools, events, commands references/extensions.md
Custom provider implementation, OAuth, custom streaming references/custom-provider.md
Embed Pi in Node/TypeScript references/sdk.md
Integrate from another process/language references/rpc.md
Consume JSONL event output references/json.md
Build terminal UI components references/tui.md
Package extensions/skills/prompts/themes references/packages.md
Delegate to subagents, chains, parallel runs, orchestration references/pi-subagents.md
Connect MCP servers, MCP tool discovery/config references/pi-mcp-adapter.md
Interactive interview forms, structured user input references/pi-interview.md
Web search, URL/PDF/repo fetching, video understanding references/pi-web-access.md
Author Pi skills references/skills.md
Prompt templates or themes references/prompt-templates.md, references/themes.md
Sessions, branching, compaction, parsing JSONL references/sessions.md, references/compaction.md, references/session-format.md
Security, sandboxing, trust references/security.md, references/containerization.md
Keyboard or terminal issues references/keybindings.md, references/terminal-setup.md, references/tmux.md, references/windows.md, references/termux.md, references/shell-aliases.md
Working on Pi itself references/development.md

Build-On-Pi Defaults

Prefer the SDK for Node/TypeScript apps that need type safety, direct state access, in-process custom tools/extensions, or custom resource loading. Use createAgentSession() for a single stable session; use createAgentSessionRuntime() when the app must replace sessions through new/resume/fork/clone/import flows. Auth and model lookup go through ModelRuntime.create().

Prefer RPC mode when the client is not Node.js, needs process isolation, or wants a language-agnostic JSONL protocol. Start with pi --mode rpc --no-session for stateless subprocess integration, then add session flags when persistence matters. Split records on \n only — Node readline is not protocol-compliant.

Prefer JSON mode for one-shot command-line pipelines that only need streamed events, not bidirectional control: pi --mode json "prompt".

Use extensions for Pi-native behavior: custom tools, command handlers, event hooks, provider registration, custom compaction, path protection, project trust policy, UI prompts, widgets, and TUI components.

Use packages when sharing or installing reusable extensions, skills, prompt templates, or themes across machines or projects.

Safety Defaults

Pi is local and not sandboxed by default. Treat extensions, packages, skills, shell commands, and project-local .pi resources as code with the permissions of the Pi process. Project trust only guards which project inputs load — it is not a sandbox. For untrusted repos or unattended automation, isolate with Docker, OpenShell, Gondolin, a VM, or a remote sandbox.

Do not store secrets in project files. Prefer env vars, ~/.pi/agent/auth.json, OAuth via /login, or command-backed secret lookups in models.json/provider config.

Common Commands

npm install -g --ignore-scripts @earendil-works/pi-coding-agent
pi
pi -p "Summarize this codebase"
pi --mode json "List files"
pi --mode rpc --no-session
pi --provider anthropic --model claude-sonnet-4-5
pi --model sonnet:high "Solve this complex problem"
pi --tools read,grep,find,ls -p "Review this repository"
pi install npm:pi-subagents
pi update --all

Source Coverage

These references summarize the Pi documentation at https://pi.dev/docs/latest and every docs page found under it as of this skill version, plus the package pages for pi-subagents, pi-mcp-adapter, pi-interview, and pi-web-access at https://pi.dev/packages/. Package details were cross-checked against the published npm READMEs (pi-web-access 0.14.0, pi-mcp-adapter 2.15.0, pi-subagents 0.37.0, pi-interview 0.9.0). When exact API behavior matters, prefer the cited reference page and inspect installed TypeScript definitions under node_modules/@earendil-works/pi-coding-agent/dist/ and node_modules/@earendil-works/pi-ai/dist/.

Info
Category Development
Name pi-agent
Version v20260726
Size 89.44KB
Updated At 2026-07-27
Language