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

Agent Skill

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。

总安装

1,260

周安装

52

GitHub Stars

公开资料未说明

下载量

412
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

2

许可证

unknown

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: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

简介

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。

SKILL.md

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

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

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

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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