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Failure Memory Log

Automatic failure pattern recording and recall system. Prevents repeating the same mistakes by logging errors with context, root cause, and resolution. Use w...

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name: failure-memory description: "Automatic failure pattern recording and recall system. Prevents repeating the same mistakes by logging errors with context, root cause, and resolution. Use when: (1) a command/task fails and you want to record why, (2) starting a new task and want to check for known pitfalls, (3) reviewing accumulated failure patterns for learning, (4) agent makes an error and needs to log it for future prevention. Triggers: 'log failure', 'check failures', 'failure report', 'what went wrong', 'mistake log', or any error/failure during agent work."

Failure Memory

Record failures. Learn from them. Never repeat them.

Core Concept

Every failure has three parts:

  1. What happened (error message, symptom)
  2. Why it happened (root cause)
  3. How to fix/avoid it (resolution)

This skill stores them in a searchable markdown file and provides a recall mechanism before starting similar tasks.

File Structure

memory/
└── failures.md      # All failure records (append-only log)

Recording a Failure

When an error occurs during work, append to memory/failures.md:

## [YYYY-MM-DD HH:mm] <short title>

- **Category:** <build|deploy|config|api|permissions|data|logic|network|dependency>
- **Context:** <what you were trying to do>
- **Error:** `<exact error message or symptom>`
- **Root Cause:** <why it happened>
- **Resolution:** <what fixed it>
- **Prevention:** <how to avoid next time>
- **Tags:** <comma-separated keywords for search>

When to Record

Record AUTOMATICALLY when:

  • A shell command exits non-zero and you identify why
  • An API call fails and you find the cause
  • A config/setup step fails and you resolve it
  • You catch yourself repeating a previously-solved mistake
  • A sub-agent reports an error with resolution

Do NOT record:

  • Transient network timeouts (unless pattern emerges)
  • Intentional test failures
  • User-cancelled operations

Pre-Task Recall

Before starting any significant task, search failures for relevant history:

grep -i "<keyword>" memory/failures.md

Or use memory_search if vector search is available:

memory_search query="<task description> failure error"

If matches found, mention them briefly:

⚠️ Known pitfall: [title] — [prevention tip]

Failure Report

When asked for a failure report or review, generate a summary:

  1. Read memory/failures.md
  2. Group by category
  3. Identify repeat patterns (same root cause appearing multiple times)
  4. Suggest systemic fixes for patterns

Report Format

# Failure Report — YYYY-MM-DD

## Stats
- Total: N failures recorded
- Top category: <category> (N occurrences)
- Repeat offenders: N patterns seen 2+ times

## Repeat Patterns
### <pattern name>
- Seen: N times
- Root cause: <shared cause>
- Systemic fix: <recommendation>

## Recent Failures (last 7 days)
- [date] <title> — <resolution>

Initialization

Run scripts/init.sh to set up the failures file:

bash scripts/init.sh [memory_dir]

Default memory_dir: ./memory

Best Practices

  1. Be specific — "EACCES on /var/run/docker.sock" beats "permission error"
  2. Include the exact error — Future grep depends on it
  3. Tag generously — More tags = better recall
  4. Review monthly — Patterns reveal systemic issues
  5. Link to fixes — Reference commits, PRs, or config changes when possible

如何使用「Failure Memory Log」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Failure Memory Log」技能完成任务
  4. 结果即时呈现,支持继续对话优化

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