install
source · Clone the upstream repo
git clone https://github.com/nwiizo/ccswarm
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/nwiizo/ccswarm "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/deploy-workflow" ~/.claude/skills/nwiizo-ccswarm-deploy-workflow && rm -rf "$T"
manifest:
.claude/skills/deploy-workflow/SKILL.mdsource content
Deploy Workflow
Multi-step workflow for deploying ccswarm releases.
Overview
This skill guides you through the complete deployment process for ccswarm releases, from building to publishing.
Pre-Deployment Checklist
1. Version Update
# Update version in Cargo.toml files # Root workspace # crates/ccswarm/Cargo.toml # crates/ai-session/Cargo.toml
2. Quality Gates
# Run full quality check cargo fmt --all cargo clippy --workspace -- -D warnings cargo test --workspace # Check for security vulnerabilities cargo audit # Verify documentation cargo doc --no-deps --workspace
3. Changelog Update
# Update CHANGELOG.md with new version # Include: Features, Bug Fixes, Breaking Changes
Build Process
1. Release Build
# Build all binaries in release mode cargo build --release --workspace # Verify binaries ls -la target/release/ccswarm ls -la target/release/ai-session ls -la target/release/ai-session-server
2. Cross-Platform Builds
# Linux x86_64 cargo build --release --target x86_64-unknown-linux-gnu # macOS ARM64 cargo build --release --target aarch64-apple-darwin # macOS Intel cargo build --release --target x86_64-apple-darwin
3. Package Artifacts
# Create release archives tar -czvf ccswarm-linux-x86_64.tar.gz -C target/x86_64-unknown-linux-gnu/release ccswarm ai-session tar -czvf ccswarm-macos-arm64.tar.gz -C target/aarch64-apple-darwin/release ccswarm ai-session
Release Process
1. Git Tag
# Create annotated tag git tag -a v0.X.Y -m "Release v0.X.Y" # Push tag git push origin v0.X.Y
2. GitHub Release
# Create release with gh CLI gh release create v0.X.Y \ --title "ccswarm v0.X.Y" \ --notes-file CHANGELOG.md \ ccswarm-linux-x86_64.tar.gz \ ccswarm-macos-arm64.tar.gz
3. Crates.io (Optional)
# Publish ai-session first (dependency) cd crates/ai-session cargo publish # Then publish ccswarm cd crates/ccswarm cargo publish
Post-Deployment
1. Verify Release
# Test installation from release cargo install ccswarm --version 0.X.Y # Or download and test binary curl -L https://github.com/nwiizo/ccswarm/releases/download/v0.X.Y/ccswarm-linux-x86_64.tar.gz | tar xz ./ccswarm --version
2. Update Documentation
- Update README with new features
- Update version references in docs
- Announce release (if applicable)
Rollback Procedure
If issues are found after release:
# Delete release tag git tag -d v0.X.Y git push origin :refs/tags/v0.X.Y # Delete GitHub release gh release delete v0.X.Y # Yank from crates.io (if published) cargo yank --version 0.X.Y ccswarm
Environment Variables
Required for deployment:
: For crates.io publishingCARGO_REGISTRY_TOKEN
: For gh CLI operationsGITHUB_TOKEN