Deploy Team Image
SkillCloud & infraBuild a team Docker image from a manifest in .archon/teams/. Resolves plugin paths, generates Dockerfile with additive copy-only, makes plugins read-only, bakes team CLAUDE.md.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Deploy Team Image skill
What this skill tells your AI
The instructions your AI receives, as published by stevegjones/ai-first-sdlc-practices in skills/deploy-team/SKILL.md and read by ahel’s review.
Build a team-specific Docker image from a team manifest.
Arguments
--name <team-name>(required) — team manifest in.archon/teams/<team-name>.yaml--image <tag>(optional) — custom image tag (default:sdlc-worker:<team-name>)
Steps
1. Read and validate the manifest
Read .archon/teams/<team-name>.yaml. Validate:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/validate_team_manifest.py \
.archon/teams/<team-name>.yaml \
--installed-plugins "${CLAUDE_PLUGINS_DIR:-$HOME/.claude/plugins}/installed_plugins.json" \
--project-root .
If validation fails, report errors and stop. Check status field — refuse to build inactive or decommissioned teams.
2. Verify base and full images exist
docker image inspect sdlc-worker:base >/dev/null 2>&1
docker image inspect sdlc-worker:full >/dev/null 2>&1
If missing, inform user and offer to build them:
bash ${CLAUDE_PLUGIN_ROOT}/docker/build-base.sh
bash ${CLAUDE_PLUGIN_ROOT}/docker/build-full.sh
3. Generate team CLAUDE.md
Use the generate_team_claude_md.py script to create the team's CLAUDE.md from the manifest:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/generate_team_claude_md.py \
.archon/teams/<team-name>.yaml \
--installed-plugins "${CLAUDE_PLUGINS_DIR:-$HOME/.claude/plugins}/installed_plugins.json" \
--output .archon/teams/.generated/<team-name>-CLAUDE.md
If the project has a CLAUDE.md, concatenate it (project first, team second).
4. Build the team image
bash ${CLAUDE_PLUGIN_ROOT}/docker/build-team.sh <team-name> [--image <tag>]
This generates a Dockerfile with additive copy-only (no prune) and builds the image.
The generated Dockerfile and CLAUDE.md go to .archon/teams/.generated/.
5. Update manifest timestamp
After successful build, update image_built in the manifest YAML to current ISO-8601 datetime.
6. Report
Report the following:
- Image name and tag
- Image size (from
docker image inspect) - Agent count and skill count (from manifest)
- Generated file locations (Dockerfile and CLAUDE.md)
Signals
- GitHub stars
- 41
- Forks
- 6
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
deploy-team- Source
- github.com/stevegjones/ai-first-sdlc-practices