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Agent Skill · 研究检索

run-parallel-agents-feature-debug(运行并行 Agent 功能调试)

run-parallel-agents-feature-debug 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。

run-parallel-agents-feature-debug 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;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 73,675 个 Skill 里排第 40,699。

总安装 1,260周安装 52GitHub Stars 公开资料未说明下载 412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。
GitHub
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:run-parallel-agents-feature-debug(运行并行 Agent 功能调试)
来源仓库:https://github.com/ulpi-io/skills
仓库路径:skills/run-parallel-agents-feature-debug
安装命令:
npx skills add https://github.com/ulpi-io/skills --skill run-parallel-agents-feature-debug
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ulpi-io/skills --skill run-parallel-agents-feature-debug

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。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装使用。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。

run-parallel-agents-feature-debug 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/run-parallel-agents-feature-debug

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 Codex、Claude、Cursor、Gemini CLI;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

    可以直接复制的命令是 npx skills add https://github.com/ulpi-io/skills --skill run-parallel-agents-fea…;命令里的占位符换成自己的路径或密钥再执行。

  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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

run-parallel-agents-feature-debug 怎么安装?

在终端执行 npx skills add https://github.com/ulpi-io/skills --skill run-parallel-agents-feature-debug。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

run-parallel-agents-feature-debug 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

run-parallel-agents-feature-debug 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

run-parallel-agents-feature-debug 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。

run-parallel-agents-feature-debug 用的人多吗?

公开数据是累计安装 1,260 次,近一周安装 52 次,下载 412 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。

run-parallel-agents-feature-debug 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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 Codex,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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
run-parallel-agents-feature-debug

运行并行 Agent 功能调试 · 本页

1,260—只读未明确通过

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

Run Parallel Agents Feature Debug

Inputs

  • $request: Optional problem set, failure list, or user direction such as debug these three failing suites in parallel or split these bugs across agents.

Goal

Exploit Claude Code's real parallel agent runtime to diagnose and fix independent failures concurrently without splitting one root cause into multiple conflicting investigations.

Step 0: Resolve the candidate debug lanes

Identify the failure set:

  • explicit user bug list
  • failing test groups
  • broken subsystems
  • grouped compile, lint, runtime, or performance failures

Then determine:

  • failure count
  • likely subsystem boundaries
  • whether each failure is a symptom or a standalone issue
  • whether the lanes are debug/fix work rather than planning or broad exploration

Do not use this skill if:

  • there are fewer than 3 independent lanes
  • the failures may share one root cause
  • one broken dependency, config value, schema change, or deploy event could explain multiple symptoms
  • the work still needs decomposition before execution

Use AskUserQuestion only if safe clustering depends on user clarification.

Success criteria: You have a concrete set of candidate debug lanes worth triaging for independence.

Step 1: Prove independence and reject shared-root-cause traps

For each candidate lane, check:

  • whether the failure started at the same time as other lanes
  • whether the same dependency, config, migration, environment, or upstream service appears in multiple traces
  • whether one fix could plausibly collapse several symptoms
  • whether the write scope is disjoint if multiple lanes reach the fix stage

Parallelize only when:

  • root cause is plausibly distinct
  • reproduction is lane-local
  • expected fixes do not overlap heavily

If there is meaningful doubt, do not parallelize yet. Diagnose the shared root cause first.

Load references/debug_patterns.md for root-cause heuristics and framework-specific failure patterns. Load references/agent-runtime-semantics.md for the runtime rules that make or break parallel debug execution.

Success criteria: Every selected lane is likely independent at both diagnosis and fix time.

Step 2: Match each debug lane to the right agent

Choose the most appropriate specialized agent for each lane based on:

  • framework and language
  • failing files and directories
  • error signatures
  • whether the lane is runtime, test, build, or performance focused

Load references/agent_matching_logic.md for detailed matching rules and edge cases.

Practical defaults:

  • use the most specific framework/domain agent available
  • use general-purpose only when no stronger fit exists
  • do not invent agent types

Success criteria: Every lane has a justified debug agent assignment.

Step 3: Build full debugging briefs

Because fresh subagent_type agents start without the main thread's task context, every prompt must contain:

  • the exact problem statement
  • the concrete error or symptom
  • reproduction steps, if known
  • affected files or directories
  • likely scope boundaries
  • what counts as success
  • required verification command or test
  • whether the lane should only diagnose or both diagnose and fix

Prefer real evidence over summaries:

  • failing command output
  • stack trace excerpts
  • failing test names
  • impacted file paths

Do not hand a fresh agent vague instructions like "fix this suite" without the actual failure surface.

Success criteria: Each lane prompt is complete enough for a fresh agent to diagnose without basic follow-up questions.

Step 4: Launch all agents in one parallel batch

Launch every lane in a single assistant message containing multiple Agent(...) tool uses.

Required launch semantics for fix-capable debug lanes:

  • subagent_type: matched agent type
  • description: short 3-5 word description
  • prompt: full debugging brief
  • run_in_background: true
  • isolation: "worktree"

Runtime-specific rules:

  • do not split the launches across multiple assistant messages if the user asked for parallel debugging
  • do not rely on target-agent defaults for async or isolation when parallel safety matters
  • do not use read-only forks here; this skill is for fresh specialized debug agents

Load references/agent-runtime-semantics.md for the exact source-backed reasons behind these rules.

Success criteria: All independent debug lanes are launched concurrently with explicit, safe runtime settings.

Step 5: Aggregate completions without polling

After launch:

  • continue with non-overlapping coordination work
  • wait for completion notifications instead of polling background transcripts
  • trust returned agent summaries unless there is a concrete reason to inspect deeper

When each lane completes, capture:

  • status
  • diagnosed root cause
  • files touched
  • verification result
  • blockers or unresolved scope

If a lane concludes the issue was not independent after all, stop pretending the original clustering was valid and reframe the remaining work.

Success criteria: Every spawned lane has a tracked outcome without unnecessary transcript noise.

Step 6: Validate fixes and check for conflicts

Before treating the parallel debug session as complete:

  • rerun the original failing test or validation command for each lane
  • confirm the original symptom is actually gone
  • check for overlapping file edits or contradictory fixes
  • confirm one lane did not silently re-break another lane's subsystem

If conflicts exist:

  • stop automatic aggregation
  • identify the overlapping files or contradictory fixes
  • merge intentionally or escalate to the user

If multiple lanes converged on the same root cause:

  • say so explicitly
  • consolidate the result instead of pretending they were independent wins

Success criteria: The final result reflects real fixes, not just parallel patch attempts.

Step 7: Report the consolidated result

Summarize:

  • which debug lanes ran
  • which agents handled them
  • root cause and fix status per lane
  • verification result per lane
  • conflicts, converged root causes, or remaining blockers

Be explicit about partial success. Debugging is only finished when the original failures are actually resolved or clearly re-scoped.

Success criteria: The user gets a concise but accurate parallel-debug summary.

Guardrails

  • Do not use this skill for fewer than 3 genuinely independent lanes.
  • Do not parallelize symptoms that may share a root cause.
  • Do not keep giant examples, scorecards, or framework catalogs inline in SKILL.md.
  • Do not assume fresh agents know the surrounding task context.
  • Do not poll or tail background agent output unless the user explicitly asks.
  • Do not rely on default agent background or isolation settings when explicit launch parameters are safer.
  • Do not add disable-model-invocation; this skill should remain available when the user asks for parallel debugging.
  • Do not add context: fork; this workflow coordinates fresh specialized agents, not read-only skill forks.
  • Do not add paths:; this is a generic orchestration skill.

When To Load References

  • references/agent-runtime-semantics.md Use for source-backed Agent runtime rules: fresh context, single-message parallel launch, background behavior, worktree isolation, and explicit parameter precedence.
  • references/debug_patterns.md Use for shared-root-cause heuristics, framework-specific error patterns, and triage guidance.
  • references/agent_matching_logic.md Use for detailed agent-selection rules and framework-specific edge cases.

Output Contract

Report:

  1. resolved debug lane set
  2. agent assignment per lane
  3. launch status
  4. root cause and fix status per lane
  5. verification results
  6. conflicts, shared-cause discoveries, or remaining blockers

平台分布

Codex

35.8%
按下载量换算147

Claude

29.81%
按下载量换算123

Cursor

20.88%
按下载量换算86

Gemini CLI

9.67%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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