Construye con Pi, el harness de codificación de terminal minimalista: instalación, providers/modelos, skills/extensiones/temas, SDK, RPC, streams JSON, sesiones, router llama.cpp y paquetes del ecosistema.
en todo el repo
0–100, la ruta de este skill
último commit aquí
últimos 90 días
151 tok en reposo
254 KB
Funciona con cualquier agente que lea SKILL.md
npx -y skills add K-Dense-AI/scientific-agent-skills --skill pi-agent --agent claude-codeSe instala solo en este repositorio.
Di cualquiera de estas frases y el agente debería cargar este skill.
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.
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 |
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.
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.
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 --tui-mode fullscreen
pi install npm:pi-subagents
pi update --all
These references summarize the Pi documentation at https://pi.dev/docs/latest and every docs page found under it, as of Pi 0.84.2 (docs source: packages/coding-agent/docs/ in https://github.com/earendil-works/pi, formerly pi-mono). They also cover the package pages for pi-subagents, pi-mcp-adapter, pi-interview, and pi-web-access at https://pi.dev/packages/, cross-checked against the published npm READMEs and package docs (pi-web-access 0.22.0, pi-mcp-adapter 2.25.0, pi-subagents 0.49.0, pi-interview 0.11.0). 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/.
Reproducido de K-Dense-AI/scientific-agent-skills bajo licencia MIT. Leer esta página en markdown.
35 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.
Requiere Node.js >= 22.19 y npm; el paquete se instala como @earendil-works/pi-coding-agent.
Necesita en el PATH:npm
Este repo incluye 163 skills. Si instalas uno, normalmente ya tienes los demás.
Gestión integral de citas académicas: busca en OpenAlex, PubMed y Google Scholar, extrae metadatos precisos, valida citas y genera entradas BibTeX correctamente formateadas.
Realiza revisiones bibliográficas sistemáticas y completas usando varias bases académicas (PubMed, arXiv, bioRxiv, Semantic Scholar). Genera markdown y PDF con citas verificadas en varios estilos (APA, Nature, Vancouver).
Crea decks de diapositivas y presentaciones para charlas de investigación: PowerPoint, presentaciones de conferencia, seminarios, defensas de tesis. Da estructura, plantillas, guía de tiempos y validación visual.
Crea infografías profesionales con Nano Banana Pro AI y refinamiento iterativo inteligente. Usa Gemini 3.6 Flash para revisar la calidad e integra investigación con Perplexity Sonar. Soporta 10 tipos, 8 estilos y paletas para daltonismo.
Crea pósteres de investigación profesionales en LaTeX con beamerposter, tikzposter o baposter, para conferencias y comunicación científica: layout, colores, columnas múltiples e integración de figuras.
Crea diagramas científicos de calidad de publicación con la IA Nano Banana 2 y refinamiento iterativo inteligente. Gemini 3.6 Flash revisa la calidad y solo regenera si está por debajo del umbral de tu tipo de documento.
Framework de computación cuántica de Google. Para hardware de Google Quantum AI, diseño de circuitos con ruido y a bajo nivel. Para hardware IBM usa qiskit; para ML cuántico con autodiff usa pennylane; para física usa qutip.
Usa Gtars para modelos de intervalos genómicos locales: álgebra de conjuntos, solapamientos y conteos, consenso y cobertura, tokenización, procesamiento de fragmentos y planificación refget/BEDbase en Python, Rust y la CLI.
Extracción y preprocesamiento ligero de teselas WSI: detección de tejido, extracción de teselas y normalización de tinción H&E. Ideal para pipelines simples; para proteómica espacial o deep learning avanzado usa pathml.
