somm-skill
Onboarding guidance for coding agents working in projects that use
somm.
The package ships two markdown resources:
SKILL.md— general LLM-call guidance for agents editing Python code.SOMMELIER.md— model-selection guidance for agents usingsomm-mcp.
Installation
Install the package with the rest of the workspace:
pip install somm-skill
For Claude Code, copy the canonical skill into the local skill folder:
python - <<'PY'
from importlib.resources import files
from pathlib import Path
import shutil
target = Path.home() / ".claude" / "skills" / "somm"
target.mkdir(parents=True, exist_ok=True)
for name in ("SKILL.md", "SOMMELIER.md"):
shutil.copyfile(files("somm_skill") / name, target / name)
PY
For other agents, use the same two markdown files as the source of truth and adapt only the surrounding packaging format.
1 maintainer
Metadata
1 maintainer
Release files for somm-skill 0.17.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| somm_skill-0.17.0.tar.gz | 10.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| somm_skill-0.17.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / somm_skill-0.17.0.tar.gz
| Download URL | somm_skill-0.17.0.tar.gz |
|---|---|
| Size | 10.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / somm_skill-0.17.0-py3-none-any.whl
| Download URL | somm_skill-0.17.0-py3-none-any.whl |
|---|---|
| Size | 12.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
dbfb55559262dbbab55747b2d245ec5aa8188c7329a52af1b3cd4f0c6fd022eb
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BLAKE2b-256 checksum How to use checksums |
e676c82e26b435a03c8026c7f7693d4bb9cf22490ddb018e84879c035d2200d3
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 12, 2026.
Transparency log
