Skill：thinkrail
Vibe code with pi in a lightweight, real IDE that customises itself around the way you work — The Vibe You Need
适用场景
招聘人事
适合角色
介绍
以下内容整理自开源仓库 `JetBrains/thinkrail` 的 README / SKILL.md 摘要： # ThinkRail [](https://confluence.jetbrains.com/display/ALL/JetBrains+on+GitHub) ThinkRail is the agentic IDE that gets better every time you use it — learning your project through living specs today, and building its own capabilities tomorrow. We built a rich interface around the [`pi`](https://www.npmjs.com/package/@earendil-works/pi-coding-agent) coding agent, isolated work into separate workspaces, and gave the agent durable project knowledge through living specs and reusable skills. Next, we're adding full extension support, so ThinkRail can create the tools it needs based on how you actually work. **Website:** [thinkrail.ai](https://thinkrail.ai/) · **Blog:** [thinkrail.ai/blog](https://thinkrail.ai/blog/) <picture> <source media="(prefers-color-scheme: dark)" srcset=".github/readme-assets/workbench-dark.png"> <img src=".github/readme-assets/workbench-light.png" alt="ThinkRail workbench: worktree workspaces in the left rail, a finished pi conversation with its tool steps in the center, the resulting diff beside it, and the Specs tree and Changes list on the right" width="900"> </picture> *A `pi` session and the change it made, scoped to an isolated git-worktree workspace.* ## What you get - **Isolated workspaces.** Open any git repo as a project and cut workspaces from it as `git worktree`s, each with its own branch and working directory. Agents work in parallel without touching your checkout; merge the good branch, delete the rest. You can also attach existing worktrees or explicitly work in the project folder itself. - **A real IDE around the agent.** A splittable workbench of Monaco editor tabs, a live git Changes view, terminals, and documents — all scoped to the active workspace. Leave anchored review comments on files and diffs and send them to a chat as structured context, or open the worktree in your installed IDE. - **Chats that stream like the engine thinks.** Several concurrent `pi` sessions per workspace, each with its own model and live token and cost readout. Steer a running turn or queue a follow-up, delegate to subagents, and work a shared plan the agent updates and you edit — each completed step can be committed and reviewed on its own. - **Specs as ground truth.** A connected graph of `SPEC.md` files lives beside the code; the agent reads, searches, and maintains it through dedicated `spec_*` tools, so intent survives the session. The read-only Specs tool renders the graph as a tree in the workbench. - **Skills and workflows.** Portable Agent Skills you already keep for other coding agents are read in place, and bundled workflows guide project setup, design brainstorming, and shipping a pull request — pushing the works --- **说明**：内容由公开仓库整理，使用前请自行核对是否适合你的场景。
安装方式
1. 打开仓库：https://github.com/JetBrains/thinkrail 2. 查找 SKILL.md 或 README 中的安装章节 3. 克隆或下载所需 Skill 子目录到本地 skills 路径（如 `.cursor/skills/` 或 `.claude/skills/`） 4. 重启 / 重载 Agent 客户端 5. 用一条真实任务验证 Skill 是否被正确加载
适用平台
- 通用 Agent