Python library & composable CLI for reproducible prompt assembly; a differentiated early entrant in a quickly-saturated (and in my experience, deeply valuable) utility class
external: README
contextualize
contextualize is a CLI for assembling files and other text snippets for use with LLMs.
Installation
pip install contextualizeor with uv:
uv tool install contextualizeCommands
| command | purpose |
|---|---|
cat |
gather file contents (e.g. for piping to llm, or pasting elsewhere) |
map |
survey file/folder structure(s) with aider |
shell |
capture output from arbitrary shell commands |
payload |
compose text and file blocks from a YAML manifest |
paste |
capture staged clipboard snippets |
All commands work with the global flags --prompt, --wrap, --copy, --count, and --write-file.
Sample invocations (cat):
# gather files and copy (individually wrapped + labelled, prefixed by '--prompt') to clipboard
contextualize cat src/ README.md --prompt "how does this work?" --copy
# fetch a single file from a remote repo (cached under ~/.local/share/contextualize/cache/git/)
contextualize cat gh:jmpaz/contextualize:README.md
# gather multiple files/folder(s) from a repo
contextualize cat https://git.sr.ht/~cismonx/bookmarkfs:README.md,doc
# fetch a single hosted UTF-8 file
contextualize cat https://modelcontextprotocol.io/llms.txtDetails and more examples are available in docs/usage.md.