Production-core policy scaffolder for GitHub Copilot agents in VS Code.
Project description
claude-skillz
Python package for applying a compact, production-ready Copilot policy set to any repository.
Install
pip install claude-skillz
Quick Start
claude-skills init . --profile production-core
claude-skills verify . --profile production-core
This init command also scaffolds a PR workflow file at .github/workflows/claude-skills-verify.yml.
Import API
import claude_skills
report = claude_skills.install(".")
print(report.created_count)
What gets installed (production-core)
- 8 agent modes
- 5 instruction weights
- 11 high-value workflow skills
- 3 templates
- 1 PR CI workflow (
.github/workflows/claude-skills-verify.yml) .github/copilot-instructions.mdbootstrap with auto-dispatch rules
Why this model
- Small package footprint compared with full libraries
- Enforces behavior at repository level where Copilot actually reads policy files
- Keeps token/credit usage lower by bundling only core skills
Corporate and Restricted Networks
Use one of these patterns depending on your environment:
1) Private Index (recommended for enterprises)
Mirror claude-skillz to Artifactory/Nexus/Azure DevOps feed, then keep the same install command:
pip install claude-skillz
Set index config once on runners/developer machines:
pip config set global.index-url https://<private-index>/simple
pip config set global.trusted-host <private-index-host>
2) Proxy-Based Install
pip install claude-skillz --proxy http://<proxy-host>:<port>
3) Offline Wheel Install (air-gapped)
On a connected machine:
python -m pip wheel claude-skillz -w dist
On restricted machines:
pip install --no-index --find-links dist claude-skillz
CI for Every PR
The scaffolded workflow already runs:
claude-skills verify . --profile production-core
For non-GitHub CI, run the same command in your PR pipeline stage.
Detailed enterprise rollout options are documented in CORPORATE_INSTALL.md.
Package release/mirroring steps are documented in PYPI_RELEASE.md.
Project details
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