TypingMindTypingMindThe best frontend for AI
Cs Ending Time logo

Cs Ending Time

Community
ChenShuo2004
cs-ending-time

完成已实现功能的验证、Git 提交/推送、PR 或部署交付。按用户在会话中已授权的动作执行，核对仓库、提交与真实部署结果；单纯本地收尾不自动公开发布。

Overview

PublisherChenShuo2004
Repositorycs-skills
Skill namecs-ending-time
Stars
204
Forks
21
Bundled files
2
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ChenShuo2004 on GitHub. Read the source before you install it.

Installation

Install the Cs Ending Time AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ChenShuo2004/cs-skills/tree/main/cs-ending-time
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ChenShuo2004/cs-skills.git /tmp/cs-skills
mkdir -p .claude/skills
cp -r /tmp/cs-skills/cs-ending-time .claude/skills/cs-ending-time
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cs Ending Time in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cs Ending Time on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cs Ending Time is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

CS Ending Time

将本次功能交付到用户指定的目标，并提供可追溯证据。适用于 Git 和实际项目部署流程；不强制项目使用 GitHub 或 Vercel。

范围与授权

先核对仓库根目录、分支、相关 diff、目标服务/环境及用户已有授权。同一请求可授权多个步骤，“提交并推送”不用逐项再问。沿用项目指令中的提交约定。

用户请求可执行范围
检查、优化、收尾必要实现与本地验证，不自动推送或发布。
提交 / commit检查、限定范围暂存和提交。
提交并推送 / 推送这些修改到已知仓库必要的本地提交及指定分支推送；检查自动部署影响。
创建 PR准备必要分支、提交、推送并创建 PR；不包含合并。
部署 / 上线到明确项目与环境使用对应部署流程及必要准备；不扩展到其他项目或环境。
确认后再提交/发布完成可审查结果后，在指定边界等待。

授权的环境和目标可来自完整会话与当前项目配置。只有部署环境仍不明确且会改变目标时才询问 preview 或 production，不因用户未重复写专有名词而停止。提交不自动包含推送；预览不包含生产晋升。对未授权的额外外部动作保留边界。

本地交付

  1. 绑定本次目标、相关文件和验收依据。多项无关改动时隔离本次内容，不要求用户先清空工作区。
  2. 完成实现和适用检查，复用当前修改已经通过的验证；代码又变化才补跑相关检查。环境失败与产品失败分开报告。
  3. 提交前检查 staged diff。使用明确路径或 hunks，不能把混合文件里的无关修改一起提交。不回退用户工作、不擅自重写历史。
  4. 有提交授权时写 Conventional Commit。若需要分支且用户未指定名称，使用 codex/ 前缀。
  5. 有推送授权时核实远端与分支，检查是否触发生产部署，推送后核对远端 SHA。PR 描述包含问题、改变的行为和实际验证。

部署

优先项目现有 CI/CD、官方 CLI 或连接器。查看实际项目绑定与环境配置，缺凭据/项目时不猜；也不把秘密写进日志或仓库。

涉及生产分支、域名或 alias 的共享写入前，读取 生产并发。复用已有并发机制，重查最新远端与目标部署，避免旧预览覆盖较新发布。

部署完成后同时核对：提供方完成状态、预期 commit/deployment ID、实际域名或 URL 指向，以及本次功能的关键路由。成功推送不等于部署成功，HTTP 200 也不证明业务动作正常。

遇到网络超时，先查远端提交、部署列表或 PR 是否已经创建，再决定重试，避免重复发布。需要额外授权时先完成可审查的文件、diff 与检查，让用户决定具体动作。

交付报告

只报告实际发生的动作：改动与验证、仓库/分支/commit、PR 或部署链接，以及还缺什么。未部署不输出虚构部署字段；部署失败不能标为上线成功。较复杂交付补充目标项目与验证命令即可，不强制七段模板。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cs Ending Time AI skill do?

完成已实现功能的验证、Git 提交/推送、PR 或部署交付。按用户在会话中已授权的动作执行，核对仓库、提交与真实部署结果；单纯本地收尾不自动公开发布。

Why use Cs Ending Time on TypingMind?

Because you install it once and use it with any model. Cs Ending Time is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cs Ending Time in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ChenShuo2004/cs-skills/tree/main/cs-ending-time. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cs Ending Time?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cs Ending Time?

As many as you like. As long as a model supports skills, you can use Cs Ending Time with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cs Ending Time AI skill free?

Yes. It is published on GitHub by ChenShuo2004 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

Related AI Skills

View all
NousResearch logo

Huggingface Hub

NousResearch
OrganizationPopular

HuggingFace hf CLI: search/download/upload models, datasets.

53.5K
250.4K
Instructions
View
NousResearch logo

Pinecone

NousResearch
OrganizationPopular

Managed vector DB for production RAG and search.

53.5K
250.4K
1 files
View
NousResearch logo

Qdrant

NousResearch
OrganizationPopular

Vector search engine for production RAG systems.

53.5K
250.4K
2 files
View
NousResearch logo

Tensorrt Llm

NousResearch
OrganizationPopular

High-throughput LLM inference on NVIDIA GPUs.

53.5K
250.4K
3 files
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇