Token导航 LogoToken导航TokenDH.com
研究检索只读github未标认证来源可访问clear审计异常

research-after-failure失败后的研究

Agent Skill

research-after-failure 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

470

周安装

19

GitHub Stars

6

下载量

147
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:research-after-failure(失败后的研究)
来源仓库:https://github.com/troykelly/claude-skills
仓库路径:skills/research-after-failure
安装命令:
npx skills add https://github.com/troykelly/claude-skills --skill research-after-failure
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/troykelly/claude-skills --skill research-after-failure

简介

research-after-failure 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。

  • 适用于任务失败后重新分析原因、寻找替代方案或复盘改进的研究场景。
  • 通过安装命令 npx skills add https://github.com/troykelly/claude-skills --skill research-after-failure 添加到宿主环境。
  • 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后再使用。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Research After Failure

Overview

After 2 failed attempts, stop and research. Don't keep trying the same thing.

Core principle: Insanity is doing the same thing and expecting different results.

Trigger: Two consecutive failed attempts at solving a problem.

Announce at start: "I've failed twice. I'm stopping to research before trying again."

The Rule

Attempt 1: Try solution
            │
            ▼
         Failed?
            │
     ┌──────┴──────┐
     │             │
    Yes           No → Done
     │
     ▼
Attempt 2: Try different approach
            │
            ▼
         Failed?
            │
     ┌──────┴──────┐
     │             │
    Yes           No → Done
     │
     ▼
    STOP
     │
     ▼
  RESEARCH ← You are here
     │
     ▼
Attempt 3: Try with new knowledge

What Counts as a Failure

FailureNot a Failure
Tests don't passMinor syntax error fixed
Build breaksTypo corrected
Feature doesn't workIDE autocomplete issue
Same error recursDifferent error (progress)
No progress madePartial progress

The Research Protocol

Step 1: Document the Failures

Before researching, document what was tried:

## Failed Attempts

### Attempt 1
**Approach:** [What was tried]
**Result:** [What happened]
**Error:** [Error message if any]

### Attempt 2
**Approach:** [What was tried]
**Result:** [What happened]
**Error:** [Error message if any]

### Pattern
[What do these failures have in common?]

Step 2: Research Repository Documentation

# Check README
cat README.md

# Check docs directory
ls -la docs/
cat docs/[relevant-topic].md

# Check CONTRIBUTING
cat CONTRIBUTING.md

# Search for relevant docs
grep -r "[keyword]" docs/

Questions to answer:

  • Is there documented guidance for this?
  • Are there examples of similar work?
  • Are there known issues or limitations?

Step 3: Research Existing Codebase

# Find similar patterns
grep -r "[pattern]" src/

# Find how others solved similar problems
git log --all --oneline --grep="[keyword]"

# Look at test files for usage examples
grep -r "[function/class]" **/*.test.ts

Questions to answer:

  • How does existing code handle this?
  • What patterns are established?
  • Are there utility functions I'm missing?

Step 4: Research Online

Use web search for:

  1. Error messages - Exact error text
  2. Library documentation - Official docs
  3. Stack Overflow - Similar problems
  4. GitHub Issues - Known bugs
Search queries to try:
- "[exact error message]"
- "[library name] [problem description]"
- "[framework] [what you're trying to do]"

Step 5: Synthesize Findings

## Research Findings

### From Repository Docs
- [Finding 1]
- [Finding 2]

### From Codebase
- [Pattern found]
- [Example found]

### From Online
- [Solution found]
- [Workaround found]

### New Approach
Based on research, the new approach is:
1. [Step 1]
2. [Step 2]
3. [Step 3]

Step 6: Update Issue

Post research findings to the issue:

gh issue comment [ISSUE_NUMBER] --body "## Research After Failed Attempts

### What Was Tried
1. [Attempt 1]
2. [Attempt 2]

### Research Findings
[Summary of findings]

### New Approach
[How this will be solved now]
"

Step 7: Resume with New Knowledge

Apply findings to the next attempt.

If third attempt also fails → Consider escalating to human.

When to Escalate

After research + third attempt, if still failing:

## Escalation: Need Human Input

**Issue:** #[NUMBER]

**Attempted:**
1. [Approach 1] - [Result]
2. [Approach 2] - [Result]
3. [Approach 3 after research] - [Result]

**Researched:**
- [Sources checked]
- [Findings]

**Current Understanding:**
[What we know now]

**Blocking Question:**
[Specific question that needs human insight]

Mark issue as Blocked and await response.

Research Anti-Patterns

Anti-PatternCorrect Approach
Keep trying same thingStop and research
Research indefinitelyTime-box to 15-30 min
Ignore error messagesSearch exact error text
Skip local docsCheck README first
Guess at solutionsUnderstand problem first

What to Research First

Priority order:

  1. Error message - Often contains the answer
  2. Local documentation - Project-specific guidance
  3. Existing code - Established patterns
  4. Library docs - Official guidance
  5. Online search - Community solutions

Time Boxing

Research should be focused:

ResourceTime Limit
Local docs5 minutes
Codebase search10 minutes
Online search15 minutes
Total research30 minutes max

After 30 minutes without breakthrough → Escalate.

Checklist

When triggered by 2 failures:

  • Document what failed and why
  • Check repository documentation
  • Search existing codebase
  • Search online resources
  • Synthesize findings
  • Update issue with research
  • Formulate new approach
  • If still failing, escalate

Integration

This skill is triggered by:

  • issue-driven-development - Step 8 (verification loop)

This skill calls:

  • issue-lifecycle - Post research findings
  • memory-integration - Store findings for future reference

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

Claude Code

29.5%
按下载量换算43

Antigravity

23.32%
按下载量换算34

Gemini CLI

16.65%
按下载量换算24

OpenCode

11.88%
按下载量换算17

Cursor

8.62%
按下载量换算13

kiro-cli

3.48%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

继续浏览同类 Skills