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dot-ai-tag-release
// Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.
// Create a release tag based on accumulated changelog fragments. Run when ready to cut a release.
| name | dot-ai-tag-release |
| description | Create a release tag based on accumulated changelog fragments. Run when ready to cut a release. |
| user-invocable | true |
Create a semantic version tag based on accumulated changelog fragments.
Run this skill when:
Run the analysis script bundled with this skill:
bash .claude/skills/dot-ai-tag-release/analyze.sh
If the script fails (non-zero exit) or the output contains ERROR=true, show the MESSAGE to the user and stop.
If the output contains NO_FRAGMENTS=true, inform the user there's nothing to release and stop.
Present the script output to the user:
CURRENT_VERSION)FRAGMENTS list with their types)PROPOSED_VERSION) based on bump type (BUMP_TYPE)If SKIP_CI=true, inform the user that tagging HEAD would prevent the release workflow from running. Create a preparation commit:
git commit --allow-empty -m "chore: prepare release [version]"
git push origin HEAD
After confirmation:
git tag -a [version] -m "[Brief description summarizing the fragments]"
git push origin [version]
Show the user:
Publish the docs site to GHCR with a main-<sha> tag and bump site/helm/values.yaml so Argo CD picks it up — without cutting a SemVer release. Use when docs/site changes need to go live between releases.
Run, build, smoke-test, and screenshot the dot-agent-deck binary against an isolated sandbox. Use when asked to "run dot-agent-deck", "launch the TUI", "take a screenshot of the dashboard", "verify the CLI smoke", or "test a change locally" against the dot-agent-deck binary.
Analyze the blast radius of a proposed Kubernetes operation. Accepts free-text input: kubectl commands (e.g., "kubectl delete pvc data-postgres-0 -n production"), YAML manifests, or plain-English descriptions (e.g., "what happens if I delete the postgres database?"). Returns whether the operation is safe and a detailed dependency analysis with confidence levels.
Write documentation with real, validated examples. Executes commands through the user to capture actual output. Use for any new documentation or major doc updates.