openspec-continue-change — c-sharp openspec-continue-change, imewlconverter, community, c-sharp, ide skills, chinese-characters, converter, dotnet, dotnet-core

v1.0

À propos de ce Skill

Parfait pour les agents d'intelligence artificielle basés sur C# nécessitant une conversion automatique de caractères chinois et une simplification du flux de travail, tels que ceux utilisant Claude Code, Cursor et Windsurf. 通过创建下一个产出物继续处理 OpenSpec 变更。当用户想要推进其变更、创建下一个产出物或继续其工作流程时使用。

# Core Topics

studyzy studyzy
[9.8k]
[696]
Updated: 3/21/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 9/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
9/11
Quality Score
57
Canonical Locale
zh
Detected Body Locale
zh

Parfait pour les agents d'intelligence artificielle basés sur C# nécessitant une conversion automatique de caractères chinois et une simplification du flux de travail, tels que ceux utilisant Claude Code, Cursor et Windsurf. 通过创建下一个产出物继续处理 OpenSpec 变更。当用户想要推进其变更、创建下一个产出物或继续其工作流程时使用。

Pourquoi utiliser cette compétence

Permet aux agents d'automatiser la conversion de caractères chinois en utilisant C# et la bibliothèque openspec-cn, en simplifiant le flux de travail et en améliorant la productivité grâce à des fonctionnalités telles que la liste des modifications et la vérification de l'état via les commandes `openspec-cn list --json` et `openspec-cn status --ch`.

Meilleur pour

Parfait pour les agents d'intelligence artificielle basés sur C# nécessitant une conversion automatique de caractères chinois et une simplification du flux de travail, tels que ceux utilisant Claude Code, Cursor et Windsurf.

Cas d'utilisation exploitables for openspec-continue-change

Automatiser la conversion de caractères chinois pour les développeurs
Simplifier le flux de travail grâce à la liste automatique des modifications et à la sélection
Améliorer la productivité en réduisant les tâches de conversion manuelle

! Sécurité et Limitations

  • Nécessite un environnement C#
  • Limité à la conversion de caractères chinois
  • Dépendant de la bibliothèque openspec-cn et de ses commandes

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is openspec-continue-change?

Parfait pour les agents d'intelligence artificielle basés sur C# nécessitant une conversion automatique de caractères chinois et une simplification du flux de travail, tels que ceux utilisant Claude Code, Cursor et Windsurf. 通过创建下一个产出物继续处理 OpenSpec 变更。当用户想要推进其变更、创建下一个产出物或继续其工作流程时使用。

How do I install openspec-continue-change?

Run the command: npx killer-skills add studyzy/imewlconverter. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for openspec-continue-change?

Key use cases include: Automatiser la conversion de caractères chinois pour les développeurs, Simplifier le flux de travail grâce à la liste automatique des modifications et à la sélection, Améliorer la productivité en réduisant les tâches de conversion manuelle.

Which IDEs are compatible with openspec-continue-change?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for openspec-continue-change?

Nécessite un environnement C#. Limité à la conversion de caractères chinois. Dépendant de la bibliothèque openspec-cn et de ses commandes.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add studyzy/imewlconverter. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use openspec-continue-change immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

openspec-continue-change

Install openspec-continue-change, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

通过创建下一个产出物继续处理变更。

输入:可选指定变更名称。如果省略,检查是否可以从对话上下文中推断。如果模糊或不明确,你必须提示获取可用变更。

步骤

  1. 如果没有提供变更名称,提示选择

    运行 openspec-cn list --json 获取按最近修改排序的可用变更。然后使用 AskUserQuestion tool 让用户选择要处理哪个变更。

    展示前 3-4 个最近修改的变更作为选项,显示:

    • 变更名称
    • Schema(如果存在 schema 字段,否则为 "spec-driven")
    • 状态(例如:"0/5 tasks", "complete", "no tasks")
    • 最近修改时间(来自 lastModified 字段)

    将最近修改的变更标记为 "(推荐)",因为它很可能是用户想要继续的。

    重要提示:不要猜测或自动选择变更。始终让用户选择。

  2. 检查当前状态

    bash
    1openspec-cn status --change "<name>" --json

    Parse the JSON to understand current state. The response includes:

    • schemaName: The workflow schema being used (e.g., "spec-driven")
    • artifacts: Array of artifacts with their status ("done", "ready", "blocked")
    • isComplete: Boolean indicating if all artifacts are complete
  3. 根据状态行动


    如果所有产出物已完成 (isComplete: true)

    • 祝贺用户
    • 显示最终状态,包括使用的 Schema
    • 建议:"所有产出物已创建!您现在可以实现此变更或将其归档。"
    • 停止

    如果产出物准备好创建(状态显示有 status: "ready" 的产出物):

    • 从状态输出中选择第一个 status: "ready" 的产出物
    • 获取其指令:
      bash
      1openspec-cn instructions <artifact-id> --change "<name>" --json
    • Parse the JSON. The key fields are:
      • context: Project background (constraints for you - do NOT include in output)
      • rules: Artifact-specific rules (constraints for you - do NOT include in output)
      • template: The structure to use for your output file
      • instruction: Schema-specific guidance
      • outputPath: Where to write the artifact
      • dependencies: Completed artifacts to read for context
    • Create the artifact file:
      • Read any completed dependency files for context
      • Use template as the structure - fill in its sections
      • Apply context and rules as constraints when writing - but do NOT copy them into the file
      • Write to the output path specified in instructions
    • Show what was created and what's now unlocked
    • STOP after creating ONE artifact

    如果没有产出物准备好(全部受阻)

    • 在有效的 Schema 下不应发生这种情况
    • 显示状态并建议检查问题
  4. 创建产出物后,显示进度

    bash
    1openspec-cn status --change "<name>"

输出

每次调用后,显示:

  • 创建了哪个产出物
  • 正在使用的 Schema 工作流
  • 当前进度(N/M 完成)
  • 现在解锁了哪些产出物
  • 提示:"想要继续吗?只需让我继续或告诉我下一步做什么。"

产出物创建指南

产出物类型及其用途取决于 Schema。使用指令输出中的 instruction 字段来了解要创建什么。

常见的产出物模式:

spec-driven schema (proposal → specs → design → tasks):

  • proposal.md: Ask user about the change if not clear. Fill in Why, What Changes, Capabilities, Impact.
    • The Capabilities section is critical - each capability listed will need a spec file.
  • specs/<capability>/spec.md: Create one spec per capability listed in the proposal's Capabilities section (use the capability name, not the change name).
  • design.md: Document technical decisions, architecture, and implementation approach.
  • tasks.md: Break down implementation into checkboxed tasks.

For other schemas, follow the instruction field from the CLI output.

Guardrails

  • Create ONE artifact per invocation
  • Always read dependency artifacts before creating a new one
  • Never skip artifacts or create out of order
  • If context is unclear, ask the user before creating
  • Verify the artifact file exists after writing before marking progress
  • Use the schema's artifact sequence, don't assume specific artifact names
  • IMPORTANT: context and rules are constraints for YOU, not content for the file
    • Do NOT copy <context>, <rules>, <project_context> blocks into the artifact
    • These guide what you write, but should never appear in the output

Compétences associées

Looking for an alternative to openspec-continue-change or another community skill for your workflow? Explore these related open-source skills.

Voir tout

openclaw-release-maintainer

Logo of openclaw
openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

widget-generator

Logo of f
f

Générez des plugins de widgets personnalisables pour le système de flux prompts.chat

flags

Logo of vercel
vercel

Le Cadre de Réaction

138.4k
0
Navigateur

pr-review

Logo of pytorch
pytorch

Tenseurs et réseaux neuronaux dynamiques en Python avec une forte accélération GPU

98.6k
0
Développeur