Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Deploy a SaaS app to the BDB fleet: preflight of the fleet skills, a guardrail plan, green CI, the deploy after GO (Incus via Forgejo CI, or direct rsync), and a health URL check. Use for "deploy this to the fleet", "deploy the SaaS app", "ship to the Incus instance".
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See how to installReview the instructions the agent will receive before you install.
What you get: the app deployed to the chosen fleet instance after your GO, with a health check logged. Availability: internal. Needs the bdbsaashost skill (not shipped; lives in aos-internal-staging).
incus-ci (push to Forgejo, the runner deploys to Incus) or direct (rsync over SSH), asked if missing/version-style URL or a response header name of the health URL, taken from the deploy plan; none given means the app exposes none~/.claude/skills, ~/.agents/skills, ~/.codex/skills, ~/.config/opencode/skills); same check for deploy-incus (needed only for path = incus-ci) → run log header — bdbsaashost absent → stop with "Missing skill: bdbsaashost (internal, not shipped; lives in aos-internal-staging) — stop"; deploy-incus absent with path = incus-ci → stop with "Missing skill: deploy-incus (installed locally only, not shipped by AOS)."; write nothing except the run log — all probes answeredgh run list --commit <HEAD sha> --limit 1 --json conclusion for the repo is not success (a repo with no GitHub CI is logged and skipped) → one pb-ci-fix run, with its own GO for the push — latest run is green, else stoprsync over SSH to the target, which the hook does not cover (the same goes for incus commands), so this GO is the only guard there — RemoteOS approval does not cover a Forgejo push or an rsync, only actions run through its own tools (for example container manage), which this step does not use. The WAITING FOR GO line names the path, target_instance, the exact command, and the commit SHA. The run stops here until the human types GO. One GO = one deploy.curl -sI <health_url> for the status line; then the marker from version_source (curl -s <version_url> for a URL, or the named header in the curl -sI output) → status line and marker in the run log — status 200 and the marker equals the SHA from the step 4 GO line; if version_source is empty or returns no marker, log "marker absent: unverified" and accept the 200 alone; a marker that differs from the SHA, or any other status, stops the run and reports, no automatic rollbackRun log: production_artifacts/pb-deploy-saas-<date>.md in the start directory, never committed
Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.No reviews yet. Tell others what you thought.
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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