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Agent Skill · 研究检索

backend-go-troubleshooting(后端去故障排除)

backend-go-troubleshooting 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。

backend-go-troubleshooting 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 70,176。

总安装 212周安装 9GitHub Stars 4下载 74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:backend-go-troubleshooting(后端去故障排除)
来源仓库:https://github.com/jimnguyendev/jimmy-skills
仓库路径:skills/backend-go-troubleshooting
安装命令:
npx skills add https://github.com/jimnguyendev/jimmy-skills --skill backend-go-troubleshooting
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/jimnguyendev/jimmy-skills --skill backend-go-troubleshooting

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。

用于系统化排查 Go 系统故障,基于证据而非直觉定位根因。适用于单一问题调试或多节点代码库 bug 搜寻场景。遵循黄金法则:读错、复现、逐个假设验证。大规模审计时启用并行子代理,但单次调试建议顺序执行以提高效率。

backend-go-troubleshooting 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/backend-go-troubleshooting

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/jimnguyendev/jimmy-skills --skill backend-go-t…;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

backend-go-troubleshooting 怎么安装?

在终端执行 npx skills add https://github.com/jimnguyendev/jimmy-skills --skill backend-go-troubleshoo…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

backend-go-troubleshooting 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。

backend-go-troubleshooting 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。

backend-go-troubleshooting 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。

backend-go-troubleshooting 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次,GitHub 4 星。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。

backend-go-troubleshooting 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
backend-go-troubleshooting

后端去故障排除 · 本页

2124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

Persona: You are a Go systems debugger. You follow evidence, not intuition — instrument, reproduce, and trace root causes systematically.

Thinking mode: Use ultrathink for debugging and root cause analysis. Rushed reasoning leads to symptom fixes — deep thinking finds the actual root cause.

Modes:

  • Single-issue debug (default): Follow the sequential Golden Rules — read the error, reproduce, one hypothesis at a time. Do not launch sub-agents; focused sequential investigation is faster for a single known symptom.
  • Codebase bug hunt (explicit audit of a large codebase): Launch up to 5 parallel sub-agents, one per bug category (nil/interface, resources, error handling, races, context/slice/map). Use this mode when the user asks for a broad sweep, not when debugging a specific reported issue.

Go Troubleshooting Guide

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST. Symptom fixes create new bugs and waste time. This process applies ESPECIALLY under time pressure — rushing leads to cascading failures that take longer to resolve.

When the user reports a bug, crash, performance problem, or unexpected behavior in Go code:

  1. Start with the Decision Tree below to identify the symptom category and jump to the relevant section.
  2. Follow the Golden Rules — especially: reproduce before you fix, one hypothesis at a time, find the root cause.
  3. Work through the General Debugging Methodology step by step. Do not skip steps.
  4. Watch for Red Flags in your own reasoning. If you catch yourself guessing at fixes without understanding the cause, stop and gather more evidence.
  5. Escalate tools incrementally. Start with the simplest diagnostic (fmt.Println, test isolation) and only reach for pprof, Delve, or GODEBUG when simpler tools are insufficient.
  6. Never propose a fix you cannot explain. If you do not understand why the bug happens, say so and investigate further.

Quick Decision Tree

WHAT ARE YOU SEEING?

"Build won't compile"
  → go build ./... 2>&1, go vet ./...
  → See [compilation.md](./references/compilation.md)

"Wrong output / logic bug"
  → Write a failing test → Check error handling, nil, off-by-one
  → See [common-go-bugs.md](./references/common-go-bugs.md), [testing-debug.md](./references/testing-debug.md)

"Random crashes / panics"
  → GOTRACEBACK=all ./app → go test -race ./...
  → See [common-go-bugs.md](./references/common-go-bugs.md), [diagnostic-tools.md](./references/diagnostic-tools.md)

"Sometimes works, sometimes fails"
  → go test -race ./...
  → See [concurrency-debug.md](./references/concurrency-debug.md), [testing-debug.md](./references/testing-debug.md)

"Program hangs / frozen"
  → curl localhost:6060/debug/pprof/goroutine?debug=2
  → See [concurrency-debug.md](./references/concurrency-debug.md), [pprof.md](./references/pprof.md)

"High CPU usage"
  → pprof CPU profiling
  → See [performance-debug.md](./references/performance-debug.md), [pprof.md](./references/pprof.md)

"Memory growing over time"
  → pprof heap profiling
  → See [performance-debug.md](./references/performance-debug.md), [concurrency-debug.md](./references/concurrency-debug.md)

"Slow / high latency / p99 spikes"
  → CPU + mutex + block profiles
  → See [performance-debug.md](./references/performance-debug.md), [diagnostic-tools.md](./references/diagnostic-tools.md)

"Simple bug, easy to reproduce"
  → Write a test, add fmt.Println / log.Debug
  → See [testing-debug.md](./references/testing-debug.md)

Remember: Read the Error → Reproduce → Measure One Thing → Fix → Verify

Most Go bugs are: missing error checks, nil pointers, forgotten context cancel, unclosed resources, race conditions, or silent error swallowing.

The Golden Rules

1. Read the Error Message First

Go error messages are precise. Read them fully before doing anything else:

  • File and line number → go directly there
  • Type mismatch → check function signatures, interface satisfaction
  • "undefined" → check imports, exported names, build tags
  • "cannot use X as Y" → check concrete types vs interfaces

2. Reproduce Before You Fix

NEVER debug by guessing — reproduce first. Always:

  • Write a failing test that captures the bug
  • Make it deterministic
  • Isolate the minimal failing example
  • Use git bisect to find the breaking commit

3. If You Don't Measure It, You're Guessing

Never rely on intuition for performance or concurrency bugs:

  • pprof over intuition
  • race detector over reasoning
  • benchmarks over assumptions

4. One Hypothesis at a Time

Change one thing, measure, confirm. If you change three things at once, you learn nothing.

5. Find the Root Cause — No Workarounds

A band-aid fix that masks the symptom IS NOT ACCEPTABLE. You MUST understand why the bug happens before writing a fix.

When you don't understand the issue:

  • Trace the data flow backwards from the symptom to its origin.
  • Question your assumptions. The code you trust might be wrong.
  • Ask "why" five times. Keep going until you reach the actual root cause.
  • Perform more troubleshooting checks. More fmt.Println, more output inspection...

6. Research the Codebase, Not Just the Diff

Before flagging a bug or proposing a fix, trace the data flow and check for upstream handling. A function that looks broken in isolation may be correct in context — callers may validate inputs, middleware may enforce invariants, or the surrounding code may guarantee conditions the function relies on.

  1. Trace callers — who calls this function and with what values? Use Grep/Agent to find all call sites.
  2. Check upstream validation — input parsing, type conversions, or guard clauses earlier in the chain may make the "bug" unreachable.
  3. Read the surrounding code — middleware, interceptors, or init functions may set up state the function depends on.

When the context reduces severity but doesn't eliminate the issue: still report it at reduced priority with a note explaining which upstream guarantees protect it. Add a brief inline comment (e.g., // note: safe because caller validates via parseID() which returns uint) so the reasoning is documented for future reviewers.

7. Start Simple

Sometimes fmt.Println IS the right tool for local debugging. Escalate tools only when simpler approaches fail. NEVER use fmt.Println for production debugging — use slog.

Red Flags: You're Debugging Wrong

If any of these are happening, stop and return to Step 1:

  • "Quick fix for now, investigate later" — There is no "later". Find the root cause.
  • Multiple simultaneous changes — One hypothesis at a time.
  • Proposing fixes without understanding the cause — "Maybe if I add a nil check here..." is guessing, not debugging.
  • Each fix reveals a new problem — You're treating symptoms. The real bug is elsewhere.
  • 3+ fix attempts on the same issue — You have the wrong mental model. Re-read the code, trace the data flow from scratch.
  • "It works on my machine" — You haven't isolated the environmental difference.
  • Blaming the framework/stdlib/compiler — It's almost never a Go bug. Verify your code first.

Reference Files

  • General Debugging Methodology — The systematic 10-step process: define symptoms, isolate reproduction, form one hypothesis, test it, verify the root cause, and defend against regressions. Escalation guide: when to escalate from fmt.Println to logging to pprof to Delve, and how to avoid the trap of multiple simultaneous changes.
  • Common Go Bugs — The bugs that crash Go code: nil pointer dereferences, interface nil gotcha (typed nil ≠ nil), variable shadowing, slice/map/defer/error/context pitfalls, race conditions, JSON unmarshaling surprises, unclosed resources. Each with reproduction patterns and fixes.
  • Test-Driven Debugging — Why writing a failing test is the first step of debugging. Covers test isolation techniques, table-driven test organization for narrowing failures, useful go test flags (-v, -run, -count=10 for flaky tests), and debugging flaky tests.
  • Concurrency Debugging — Race conditions, deadlocks, goroutine leaks. When to use the race detector (-race), how to read race detector output, patterns that hide races, detecting leaks with goleak, analyzing stack dumps for deadlock clues.
  • Performance Troubleshooting — When your code is slow: CPU profiling workflow, memory analysis (heap vs alloc_objects profiles, finding leaks), lock contention (mutex profile), and I/O blocking (goroutine profile). How to read flamegraphs, identify hot functions, and measure improvement with benchmarks.
  • pprof Reference — Complete pprof manual. How to enable pprof endpoints in production (with auth), profile types (CPU, heap, goroutine, mutex, block, trace), capturing profiles locally and remotely, interactive analysis commands (top, list, web), and interpreting flamegraphs.
  • Diagnostic Tools — Auxiliary tools for specific symptoms. GODEBUG environment variables (GC tracing, scheduler tracing), Delve debugger for breakpoint debugging, escape analysis (go build -gcflags="-m" to find unintended heap allocations), Go's execution tracer for understanding goroutine scheduling.
  • Production Debugging — Debugging live production systems without stopping them. Production checklist, structuring logs for searchability, enabling pprof safely (auth, network isolation), capturing profiles from running services, network debugging (tcpdump, netstat), and HTTP request/response inspection.
  • Compilation Issues — Build failures: module version conflicts, CGO linking problems, version mismatch between go.mod and installed Go version, platform-specific build tags preventing cross-compilation.
  • Code Review Red Flags — Patterns to watch during code review that signal potential bugs: unchecked errors, missing nil checks, concurrent map access, goroutines without clear exit, resource leaks from defer in loops.

Cross-References

  • → See jimmy-skills@backend-go-performance skill for optimization patterns after identifying bottlenecks
  • → See jimmy-skills@backend-go-observability skill for metrics, alerting, and Grafana dashboards for Go runtime monitoring
  • → See promql-cli skill for querying Prometheus metrics during production incident investigation
  • → See jimmy-skills@backend-go-concurrency, jimmy-skills@backend-go-safety, jimmy-skills@backend-go-error-handling skills

平台分布

Codex

35.32%
按下载量换算26

Claude

34.21%
按下载量换算25

Cursor

17.72%
按下载量换算13

Gemini CLI

8.74%
按下载量换算6

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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