Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Turn a pb-ship recap, a changelog range or a quick recap into a newsletter email draft where every claim cites a source line, and send it only after GO. Use for "newsletter from the recap", "write the release newsletter", "email update from the changelog".
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
What you get: a newsletter draft (subject, preheader, body) built only from facts you can trace, sent after your GO.
./pb-newsletter-<date>/test -d ~/.claude/skills/brand-voice and test -d ~/.claude/skills/email-ops → run-log.md (create the folder only after the recap file or range is confirmed readable) — an absent item is logged "Missing store item: <name>, install via aos-store" and the run continues with copywritingfacts.md, one line per fact with its source line or file — every fact cites a sourcefacts.md and the audience → newsletter.md with subject, preheader and body, no claim outside facts.md — stops for approval, edits applied until approvednewsletter.md with the recipient list, you send it yourself. A sending connector is not hook-guarded, so this GO is its only guard. The GO covers exactly the audience and message shown; a changed audience needs a fresh GO.Run log: run-log.md in the save folder, 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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