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Agent Skill · 研究检索

openspec-to-beads(openspec 到珠子)

openspec-to-beads 用于查找、检索和筛选相关信息,适合在 Local Agent 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。

openspec-to-beads 是研究检索类 Agent Skill,可用宿主为 Local Agent,通过unknown获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 32,401。

总安装 2,521周安装 103下载 816核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
许可证
unknown

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://smithery.ai
仓库路径:openspec-to-beads
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息。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。适合在 Local Agent 中根据关键词或任务场景快速定位候选结果时使用。可结合来源仓库和原始 README 继续核验具体用法。安装前建议确认权限范围和维护状态,以及是否会触发联网或文件读写。

当前分类为研究检索,但技能描述较泛化,需人工复核实际能力。

来源仓库内路径:openspec-to-beads

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Local Agent;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    没有现成安装命令,按unknown的说明从来源页面获取,仓库路径是 openspec-to-beads。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openspec-to-beads 怎么安装?

公开资料没有给出可以直接复制的命令,需要按来源页面说明手动安装,仓库内路径为 openspec-to-beads。

openspec-to-beads 支持哪些 AI 工具?

公开资料标注支持 Local Agent。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openspec-to-beads 需要什么权限?

权限级别是需要联网。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。

openspec-to-beads 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

openspec-to-beads 用的人多吗?

公开数据是累计安装 2,521 次,近一周安装 103 次,下载 816 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openspec-to-beads 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 Local Agent 一种宿主,触发方式和使用习惯不用来回切换。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Local Agent,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
openspec-to-beads

openspec 到珠子 · 本页

2,521—需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

Local Agent

77.77%
按下载量换算635

安全审计

Socket

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。目前只有一个公开来源,建议同时核对源仓库。

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