Teach a task by doing it once
维护者通常 1 天内回复
还没有人认领这个 Issue。
评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 15/100
- Issue 类型
- 功能
- 描述清晰度
- 基本清楚
- 活跃度
- 活跃
- 技术栈
- python, react, typescript
- 领域
- full-stack
调研方向
Start with recording in sentient/browser/service.py and the replay tool in sentient/browser/tools.py, then skill drafting in sentient/evolution/service.py and sentient/skills/loader.py, and the record control in desktop/src/features/browser/BrowserPanel.tsx. Done means a recorded workflow becomes a pending skill with a replay script and parameters, the replay reruns it on new inputs, and typed passwords are never stored. This spans several subsystems and needs design decisions first, so it is not a good first task.
由索引模型根据 Issue 内容生成。
描述
Grok Bot's "Teach a task" records up to 10 minutes of activity and turns it into a routine with a review-then-test flow. Deterministic replays reduce dependence on model reasoning, so this helps qwen3:8b more than it helps frontier-model rivals. Recording is easier in the user's own browser than in a cloud VM.
Idea: "Show me": the user performs a browser workflow once while Sentient records actions over CDP and accessibility events (no audio). Sentient drafts a skill with a deterministic replay script and model-filled parameters. The user reviews it, test-runs it on a safe example (TASK-1), then schedules it.
Status in Sentient today: New. Browser control over Playwright and CDP exists.
Where: Recording in sentient/browser/service.py, a replay tool in sentient/browser/tools.py, skill drafting in sentient/evolution/service.py and sentient/skills/loader.py, and a record control in desktop/src/features/browser/BrowserPanel.tsx.
Done when:
- a recorded workflow becomes a pending skill with a replay script and parameters
- the replay runs the workflow again on new inputs
- passwords typed during recording are never stored
Sources:
Roadmap ID: SKILL-3 · Priority: P1 · Size: L
- 主要语言
- Python
- 星标
- 710
- 派生
- 125
- 平均合并
- 8 小时 8 分钟
- 30 天内合并 PR
- 180
环境准备
- 没有 Dockerfile 或 Docker Compose 文件
- 有 Pull Request 模板
- 阅读贡献指南
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- Fork 仓库，在一个分支上完成修改。
- 提交 Pull Request，并在描述里引用这个 Issue 编号。
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