Metadata-Version: 2.4
Name: claude-skillz
Version: 0.2.0
Summary: Production-core policy scaffolder for GitHub Copilot agents in VS Code.
Author: dhanishtaa-atos
License: MIT
Project-URL: Homepage, https://github.com/dhanishtaa-atos/spec-kit
Project-URL: Repository, https://github.com/dhanishtaa-atos/spec-kit
Project-URL: Issues, https://github.com/dhanishtaa-atos/spec-kit/issues
Keywords: copilot,vscode,agent,skills,instructions,claude-skills,policy,scaffold
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Build Tools
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Provides-Extra: redteam
Requires-Dist: azure-ai-evaluation[redteam]>=1.14.0; extra == "redteam"
Requires-Dist: azure-identity>=1.15.0; extra == "redteam"

# claude-skillz

Python package for applying a compact, production-ready Copilot policy set to any repository.

## Install

```bash
pip install claude-skillz
```

## Quick Start

```bash
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

```python
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.md` bootstrap 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:

```bash
pip install claude-skillz
```

Set index config once on runners/developer machines:

```bash
pip config set global.index-url https://<private-index>/simple
pip config set global.trusted-host <private-index-host>
```

### 2) Proxy-Based Install

```bash
pip install claude-skillz --proxy http://<proxy-host>:<port>
```

### 3) Offline Wheel Install (air-gapped)

On a connected machine:

```bash
python -m pip wheel claude-skillz -w dist
```

On restricted machines:

```bash
pip install --no-index --find-links dist claude-skillz
```

## CI for Every PR

The scaffolded workflow already runs:

```bash
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`.
