القائمة
Build 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.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Parallel map-reduce bulk ingest for large source sets. Map phase dispatches read-only knowledge-extractor agents (≤N-wide, default Haiku) emitting per-source JSON extracts; Python routes extracts by target library file (fuzzy-merging new topics, pre-allocating new files, flagging oversized topics); reduce phase dispatches one agent-knowledge-updater per file (parallel, one writer per file); single shelf-index rebuild + one log.md entry. Resumable. Supersedes kb-ingest-batch.
Initialise a project for knowledge base use. Appends the [Knowledge Base] section to the project's CLAUDE.md, creates the library/ directory structure, optionally seeds with three example library files from the Agentic SDLC research, and reports next steps. Run once after installing sdlc-knowledge-base.
Drive agent-knowledge-updater over a batch of staged files in library/raw/. Tracks progress in .batch-progress.json for resume support. Sequential by default; --parallel <N> opt-in (max 5). Single shelf-index rebuild and one consolidated log.md entry at the end.
Health-check the project knowledge base. Looks for contradictions between files, stale claims that newer sources have superseded, orphan files with no inbound cross-references, important concepts mentioned but lacking their own page, missing cross-references, and data gaps. Returns a structured report; does not auto-fix.
Stage source files into library/raw/, converting non-markdown formats via markitdown (PDF/DOCX/PPTX/XLSX/HTML/CSV) or pandoc (TeX/EPUB/RST/ORG). Adds provenance frontmatter. No agent dispatch.
Pure-Python knowledge base statistics dashboard. Reads shelf-index and log.md; emits Inventory, Layer distribution, Domain distribution, Recent Activity, and Staleness sections. No agent dispatch. Read-only.
| name | deploy-team |
| description | Build 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. |
| disable-model-invocation | false |
| argument-hint | --name <team-name> [--image <registry/path>] |
Build a team-specific Docker image from a team manifest.
--name <team-name> (required) — team manifest in .archon/teams/<team-name>.yaml--image <tag> (optional) — custom image tag (default: sdlc-worker:<team-name>)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.
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
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).
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/.
After successful build, update image_built in the manifest YAML to current ISO-8601 datetime.
Report the following:
docker image inspect)