跳到正文
cccskills
免费在 GitHub 公开

gsd-new-workspace

Use when you need an isolated copy of one or more repos with its own .planning/, or want to work on several repos in parallel. Creates worktrees or clones plus WORKSPACE.md; then run /gsd-new-project inside.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md1.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

<context> **Flags:** - `--name` (required) — Workspace name - `--repos` — Comma-separated repo paths or names. If omitted, interactive selection from child git repos in cwd - `--path` — Target directory. Defaults to `~/gsd-workspaces/<name>` - `--strategy` — `worktree` (default, lightweight) or `clone` (fully independent) - `--branch` — Branch to checkout. Defaults to `workspace/<name>` - `--auto` — Skip interactive questions, use defaults </context> <objective> Create a physical workspace directory containing copies of specified git repos (as worktrees or clones) with an independent `.planning/` directory for isolated GSD sessions.

Use cases:

  • Multi-repo orchestration: work on a subset of repos in parallel with isolated GSD state
  • Feature branch isolation: create a worktree of the current repo with its own .planning/

Creates:

  • <path>/WORKSPACE.md — workspace manifest
  • <path>/.planning/ — independent planning directory
  • <path>/<repo>/ — git worktree or clone for each specified repo

After this command: cd into the workspace and run /gsd-new-project to initialize GSD. </objective>

<execution_context> @$HOME/.claude/get-shit-done/workflows/new-workspace.md @$HOME/.claude/get-shit-done/references/ui-brand.md </execution_context>

<process> Execute the new-workspace workflow from @$HOME/.claude/get-shit-done/workflows/new-workspace.md end-to-end. Preserve all workflow gates (validation, approvals, commits, routing). </process>

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Train and optimize AI agents using Microsoft's Agent Lightning framework with reinforcement learning. Use when setting up agent training, instrumenting agents with tracing, configuring LightningStore, implementing reward functions, or optimizing prompts with RL/APO algorithms.

中文简介正在准备中。当前显示原文说明。

coco-research/coco8172026年10月20日 更新

Post-run self-evaluation system that scores agent output on correctness, clarity, actionability, and conciseness. Use after /team runs, skill executions, or when explicitly asked to evaluate output quality.

中文简介正在准备中。当前显示原文说明。

coco-research/coco8172026年10月20日 更新

Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video

中文简介正在准备中。当前显示原文说明。

coco-research/coco8172026年10月20日 更新

Use when building AI features into a product: LLM integration, RAG pipelines, guardrails, streaming, AI UX, prompt engineering, or AI cost control. Treats prompts as code and validates every model output.

中文简介正在准备中。当前显示原文说明。

coco-research/coco8172026年10月20日 更新

Your AI research and engineering brain trust. 59 named personas across 8 cells covering frontier labs, applied product, model architecture, reasoning/RL/agents, alignment and interpretability, theory and science of DL, multimodal and…

中文简介正在准备中。当前显示原文说明。

coco-research/coco8172026年10月20日 更新

Use when designing a new REST or GraphQL API, reviewing an API spec before implementation, setting team API standards, or migrating REST to GraphQL. Covers resources, HTTP semantics, pagination, error handling, and pitfalls.

中文简介正在准备中。当前显示原文说明。

coco-research/coco8172026年10月20日 更新

查看 coco-research 的全部技能

报告此技能的问题