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a skill by daxaur, brought here by kt

c ai

paste this link into your ai. it will know what to do.

/skills/daxaur-c-ai

Query LLMs from the CLI — pipe text for summarization, chat interactively, use local or cloud models with llm or aichat.

kindskill
last tended2026-09-21
written bydaxaur
sourcegithub.com/daxaur/openpaw
kept currentwith its source · last read 2026-11-03
brought here bykt
reuseMIT
yours?it stays under your name. to change it or take it down, write to connect@innernet.live
reading1 min

AI / LLM Tools

llm (Simon Willison)

# Quick prompt
llm "What is the capital of France?"

# Pipe text for processing
cat article.txt | llm "Summarize this in 3 bullet points"
git diff | llm "Write a commit message for these changes"
pbpaste | llm "Fix the grammar in this text"

# Interactive chat
llm chat

# Use specific model
llm -m claude-3.5-sonnet "Explain quantum computing"
llm -m gpt-4o "Review this code"

# List available models
llm models

# Install model plugins
llm install llm-claude-3
llm install llm-ollama    # local models

# View prompt/response history
llm logs list
llm logs last

aichat

# Quick prompt
aichat "Explain Docker in simple terms"

# Pipe input
cat code.py | aichat "Find bugs in this code"

# Interactive REPL
aichat

# Shell assistant (generates and runs commands)
aichat -e "find all files larger than 100MB"

# Specific model
aichat -m claude-3.5-sonnet "Hello"

# List models
aichat --list-models

Guidelines

  • Use llm for piping text through LLMs (summarize, translate, analyze)
  • Use aichat -e for generating shell commands from natural language
  • Both tools store API keys locally — set up once with auth commands
  • llm has the richest plugin ecosystem (100+ model providers)
  • aichat is faster (Rust) and has built-in RAG support
  • These tools use separate API keys from Claude Code — user pays per token

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