工程师分享：Tag 每天完成超 50% 的 PR 和全部数据分析
有人把 Claude 接进 Slack 当团队自动化员工用，复现 bug 自动提 PR、花千万 token 挖数据，4 条提示词直接抄走。
一位工程师在 X 上分享日常用法：Claude 驱动的 Tag 每天替他写超过 50% 的 PR，数据分析约占 100%，并自动修复多数产品反馈和 bug。搭配 Opus 5.5 与 Fable 5.1 模型，Tag 具备主动性、记忆和连接器访问能力。他给出 4 条实际提示词，包括让 Claude 在频道里复现 bug 并提 PR、用约 100 个假设和约 1000 万 token 深挖异常数据、生成代码讲解游戏和幻灯片。
Tag writes >50% of my PRs every day. It also does ~100% of my data analysis, and fixes most of our product feedback + bugs.
It's not like a regular Slack bot. It is proactive, programmable, it has memory, it has access to your connectors. With Opus 5.5 and Fable 5.1, it has strong judgement.
Example prompts I use:
- "@Claude react to threads in this channel with ✅ when resolved" - "@Claude from now on, attempt to repro every bug in this channel end to end, running the full app. once you reproduce the bug, put up a pr to fix it and tag the right team for code review" - "@Claude brainstorm ~100 hypotheses for what could explain this weird data, use a workflow to in/validate. spend 10m tokens or so digging very deep. draw a chart with the result." - "@Claude make me an interactive game explaining how this part of the code works, then make a slide deck explaining it for others on the team"
https://t.co/gmsALM8Lvs
