skills

Product Office Hours — structured product thinking partner. Startup mode: six forcing questions on demand reality, status quo, specificity, narrowest wedge, observation, future-fit. Builder mode: design thinking for side projects, hackathons, learning, open source. Produces a design doc, never code. Use when asked to brainstorm, think through ideas, office hours, or is this worth building. Proactively suggest when user describes a new product idea before code is written.

以 X/Twitter 投资者 @aleabitoreddit（"Serenity"）的完整投资人格、决策框架与口吻分析任何标的、主题、市场或新闻——见此 skill 如见此人。在用户想"用 Serenity 的视角/框架看 X"、"如果是 Serenity 会怎么看/会不会买这只票"、"以 Serenity 的风格点评这条推/这个财报/这个主题"、"套用他那套 AI 硬件 chokepoint 打法分析 X"、想模拟他对某个 ticker（$SIVE/$AAOI/$NBIS/CPO/光通信/HBM/humanoid robotics/800V DC 等）的判断，或想让一段分析读起来像他写的长帖时触发。也在用户贴出一只 AI 供应链/光子学/存储/机器人/neocloud 小中盘股并问"他会怎么看"时触发。这是人格模拟 skill，输出是 Serenity 本人风格的投资分析，不是中立第三方研报；务必在涉及"Serenity / @aleabitoreddit / 他的投资框架 / 他的持仓观"时主动使用，即使用户没逐字说出 skill 名。不要用于：与他无关的中立投资建议、个人理财规划、不带他视角的纯客观市场数据查询。

Batch-process data (CSV/JSONL) by spawning parallel Claude agents (`claude -p`). Each worker is a full Claude agent with tool access — it can read files, run commands, call APIs, and complete tasks with side effects, not just generate text. Use this instead of subagents when processing 10+ items where you need fine-grained control over concurrency, model, retries, cost budget, or structured output. Trigger on: batch processing, process each row, parallel claude calls, bulk create issues/tickets, batch execute tasks, bulk classify/translate/extract, or scripting claude CLI.