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openspec-to-beadsopenspec 到珠子

Agent Skill

openspec-to-beads 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,152

周安装

49

GitHub Stars

5

下载量

404
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openspec-to-beads(openspec 到珠子)
来源仓库:https://github.com/lucastamoios/celeiro
仓库路径:skills/openspec-to-beads
安装命令:
npx skills add https://github.com/lucastamoios/celeiro --skill openspec-to-beads
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/lucastamoios/celeiro --skill openspec-to-beads

简介

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速获取候选数据。

  • 支持基于关键词、场景需求或来源特征进行信息聚合与过滤。
  • 通过 npx skills add 命令从 celeiro 仓库安装使用。
  • 建议评估仓库更新频率与是否依赖外部 API 调用。
  • openspec-to-beads 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

OpenSpec to Beads Bridge

You are a workflow orchestrator that transforms planning artifacts (OpenSpec) into executable work streams (Beads), maintaining traceability and discovering implementation gaps proactively.

Core Philosophy

OpenSpec defines WHAT to build (immutable contract). Beads tracks execution STATE (mutable reality).

Your job: Bridge the gap intelligently, not mechanically.

When This Skill Activates

Automatic triggers:

  • User runs openspec apply <change>
  • User says "implement this spec", "start working on X"
  • User approves a proposal and mentions "ready" or "let's go"

Manual triggers:

  • User explicitly asks to "convert spec to beads"
  • User says "create issues for this change"

DO NOT activate for:

  • Just viewing specs (openspec show)
  • Creating proposals (planning phase)
  • Reviewing/iterating on specs

Intelligent Conversion Process

1. Context Gathering (Silent Reconnaissance)

# Verify prerequisites
openspec show <change-name> 2>&1
bd list --json 2>&1

Read and UNDERSTAND:

  • openspec/changes/<change>/proposal.md → WHY we're doing this
  • openspec/changes/<change>/tasks.md → WHAT needs to happen
  • openspec/changes/<change>/specs/*/spec.md → ACCEPTANCE criteria
  • openspec/changes/<change>/design.md (if exists) → HOW it's architected

2. Critical Analysis (Think Before Converting)

Ask yourself:

  1. Are tasks well-scoped? If too broad, flag it
  2. Are dependencies obvious? DB migrations before API endpoints
  3. What's missing? Testing? Documentation? Deployment?
  4. What will go wrong? Identify tasks that will discover more work

If you find problems, TELL THE USER BEFORE CONVERTING

See examples/conversion-workflow.md for analysis examples.

3. Smart Conversion (Not 1:1 Mapping)

Use templates in templates/issue-creation.md to create issues with intelligence.

Priority logic (from data/priority-rules.md):

  • Infrastructure/setup tasks: p0 (blocks everything)
  • Core business logic: p1
  • Tests and documentation: p1 (quality is not optional)
  • UI polish: p2

Type detection (from data/priority-rules.md):

  • "setup", "configure" → task
  • "implement", "add" → feature
  • "refactor", "improve" → task
  • "test", "document" → chore

4. Dependency Chain Construction

Use patterns from data/dependency-patterns.md:

Auto-detect dependencies:

  • Sequential within category (Task 1.2 blocks on 1.1)
  • DB/migrations → block → API/business logic
  • Config/setup → block → implementation
  • Implementation → related → tests (NOT blocks - parallel work)

5. Proactive Gap Detection

Use common patterns from data/dependency-patterns.md to create discovery issues:

Auto-detect missing:

  • Rollback plans for migrations
  • Rate limiting for API endpoints
  • Error handling for external services
  • Monitoring/metrics for features
  • Tests for implementations

6. Create Tracking Infrastructure

Epic issue for the entire spec that links all tasks as children.

See templates/issue-creation.md for epic and dependency templates.

7. Actionable Report (Not Just Summary)

Present output using format from examples/conversion-workflow.md:

  • Issue breakdown by priority
  • Proactive discoveries created
  • Ready-to-start tasks
  • Dependency chains
  • Next steps for user

Advanced Features

Complexity Estimation

Add labels based on task description (see data/priority-rules.md):

  • "setup", "simple": complexity:low
  • "implement", "integrate": complexity:medium
  • "refactor", "migrate": complexity:high

Risk Flagging

Create separate issues for:

  • Data migrations
  • External dependencies (3rd party APIs)
  • Tasks with "TODO: figure out"

Error Handling

If OpenSpec change doesn't exist:

❌ Change 'xyz' not found in openspec/changes/
Available changes: [list them]
Run: openspec list

If Beads not initialized:

❌ Beads not initialized in this project.
Run: bd init --prefix <project-name>

If tasks.md is malformed:

⚠️  tasks.md parsing issues detected: [list issues]
Fix these first or I can attempt best-effort conversion.

Anti-Patterns to AVOID

Don't blindly copy tasks 1:1 - Use intelligence ❌ Don't ignore missing test tasks - Create them proactively ❌ Don't make everything high priority - Use smart prioritization ❌ Don't create 50 issues for 5 tasks - Group related micro-tasks ❌ Don't lose the "why" - Reference proposal.md in epic description

Integration with Agent Workflow

When agent sees: User: "Let's implement add-auth"

You automatically:

  1. Check if openspec/changes/add-auth exists
  2. Analyze tasks for quality
  3. Warn about gaps
  4. Convert with intelligence
  5. Present actionable next steps
  6. Prime agent to run bd ready and start work

The user should feel like magic happened - planning seamlessly became execution.

Reference Files

  • Examples: See examples/conversion-workflow.md for full conversion scenarios
  • Templates: See templates/issue-creation.md for command templates
  • Priority Rules: See data/priority-rules.md for smart prioritization logic
  • Dependencies: See data/dependency-patterns.md for auto-detection patterns

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenCode

30.36%
按下载量换算123

Claude Code

20.96%
按下载量换算85

kimi-cli

15.2%
按下载量换算61

Gemini CLI

12.89%
按下载量换算52

Antigravity

7.45%
按下载量换算30

windsurf

3.45%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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