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learning-log学习日志

Agent Skill

learning-log 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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

494

周安装

20

GitHub Stars

315

下载量

155
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:learning-log(学习日志)
来源仓库:https://github.com/codewithmukesh/dotnet-claude-kit
仓库路径:skills/learning-log
安装命令:
npx skills add https://github.com/codewithmukesh/dotnet-claude-kit --skill learning-log
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/codewithmukesh/dotnet-claude-kit --skill learning-log

简介

用于记录 Agent 执行过程与用户交互细节,形成学习闭环。

  • 适合在调试、复盘或持续优化任务中使用。learning-log 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 .NET 项目仓库安装,兼容 Codex、Claude 等平台。
  • 日志格式应包含时间戳、动作类型与结果状态。
  • 需控制日志粒度,避免影响性能或泄露隐私。

SKILL.md

Learning Log

Core Principles

  1. Log insights, not rules — MEMORY.md stores corrective rules ("always use X instead of Y"). The learning log stores discoveries ("X behaves differently when Y is configured because Z"). Rules prescribe behavior; insights explain the world.
  2. Structure enables searchability — Every entry has a date, category, title, description, and affected files. Consistent structure means you can search by category, scan titles, or find entries related to specific files.
  3. Log during work, not after — Capture insights the moment they occur. Waiting until the end of a session means half the detail is lost. A 2-line entry written immediately is worth more than a paragraph reconstructed from memory.
  4. Periodic review extracts patterns — A monthly scan of the learning log reveals recurring themes. Three "gotcha" entries about the same subsystem suggests a systemic issue worth addressing. Individual entries are useful; patterns across entries are actionable.
  5. Distinct from handoff notes — The wrap-up-ritual handoff captures session state (done/pending/learned). The learning log is a persistent, growing knowledge base. Handoffs are overwritten; the log only grows (and is periodically pruned).

Patterns

Log Entry Format

Each entry follows a consistent structure in .claude/learning-log.md:

# Learning Log

## 2025-07-15 | Bug Root Cause | EF Core SaveChanges Silently Succeeds on Duplicate Keys
`SaveChangesAsync` with a duplicate PK throws on the *next* `SaveChangesAsync` call, not the insert.
**Files:** `src/Orders/Features/CreateOrder.cs:42`
**Resolution:** Call `SaveChangesAsync` immediately after `Add()`, before any other operations.

## 2025-07-12 | Gotcha | MassTransit Consumer Registration Order Matters
Multiple consumers for the same message type run in registration order. If the first throws,
subsequent consumers are skipped. Caused missed audit events.
**Files:** `src/Shared/Extensions/MassTransitConfig.cs:15-30`
**Resolution:** Configure independent consumer endpoints or use the retry filter.

Auto-Logging Triggers

Log entries automatically when these situations occur:

TRIGGER 1: Non-Obvious Bug Root Cause
When debugging reveals the root cause is NOT where the error appeared.
→ Log the misdirection, the actual cause, and how to avoid confusion.

TRIGGER 2: Undocumented Architecture Decision
When you discover WHY something was built a certain way (not just HOW).
→ Log the decision, the alternatives considered, and the rationale.

TRIGGER 3: Workaround for Framework/Library Limitation
When the "correct" approach doesn't work and you need an alternative.
→ Log what didn't work, why, and what works instead.

TRIGGER 4: Performance Finding
When profiling or observation reveals unexpected performance behavior.
→ Log the finding, the measurement, and the optimization applied.

TRIGGER 5: External Service Behavior
When an external API/service behaves differently than documented.
→ Log the expected vs actual behavior and any workaround.

TRIGGER 6: Non-Obvious Configuration
When a setting or configuration has a surprising effect.
→ Log the configuration, the surprising behavior, and the correct setup.

Category System

Use these 6 categories consistently:

Architecture Decision  — WHY something is structured a certain way
Bug Root Cause        — Non-obvious bugs where the error ≠ the cause
Performance Discovery — Unexpected performance behavior or optimization
Pattern Found         — Reusable pattern discovered in the codebase
Gotcha                — Surprising behavior in frameworks, libraries, or APIs
External Service      — Quirks of third-party services and APIs

Practical Logging Workflow

How to log during active development:

DURING WORK:
1. You encounter something non-obvious
2. Spend 30 seconds writing a log entry (2-4 lines)
3. Include the category, a descriptive title, and affected files
4. Continue working — the entry is captured, detail can be added later

ENTRY QUALITY LEVELS:
Quick (during work):  Date | Category | Title + 1-line description + files
Full (if time allows): Date | Category | Title + full description + resolution + files

A quick entry is infinitely better than no entry.

Log vs. Memory vs. Handoff

Distinguish between the three knowledge stores:

MEMORY.md (via self-correction-loop):
- Contains: Prescriptive rules ("always do X", "never do Y")
- Source: User corrections, promoted learning log entries
- Lifespan: Permanent until proven wrong
- Format: Category → bullet point rules

.claude/learning-log.md (this skill):
- Contains: Descriptive insights ("X happens because Y")
- Source: Organic discoveries during development
- Lifespan: 3-6 months, then archive or promote
- Format: Date | Category | Title | Description | Files

.claude/handoff.md (via wrap-up-ritual):
- Contains: Session state (done/pending/learned)
- Source: End of each session
- Lifespan: Until next session overwrites it
- Format: Completed / Pending / Learned sections

Anti-patterns

Logging Everything

// BAD — low-value entries that add noise
## 2025-07-15 | Pattern Found | Used Primary Constructors
Used primary constructors for the OrderService class.
**Files:** src/Orders/OrderService.cs

// GOOD — only log when it's non-obvious or surprising
## 2025-07-15 | Gotcha | Primary Constructor Parameters Captured as Fields
Primary constructor parameters in C# 14 are implicitly captured as fields.
If you also declare an explicit field with the same name, you get a compiler
warning but no error — and the two can silently diverge.
**Files:** src/Orders/OrderService.cs:5

No Categorization

// BAD — entries without categories are unsearchable
## 2025-07-15 | Compiled queries don't support Include()
## 2025-07-14 | MassTransit consumer ordering matters
## 2025-07-13 | Orders module uses VSA, Identity uses CA

// GOOD — categories enable filtering and pattern detection
## 2025-07-15 | Performance Discovery | Compiled Queries Don't Support Include()
## 2025-07-14 | Gotcha | MassTransit Consumer Registration Order Matters
## 2025-07-13 | Architecture Decision | Why Orders Uses VSA While Identity Uses CA

Write-Only Log (Never Reviewed)

// BAD — 100 entries, never reviewed
.claude/learning-log.md grows to 500 lines
Same gotchas keep appearing because no one reads the log
No entries are promoted to MEMORY.md

// GOOD — monthly reviews extract value
Every 20 entries, scan for patterns
Promote recurring findings to MEMORY.md as preventive rules
Archive stale entries
The log stays lean and the rules get stronger

Duplicating MEMORY.md Content

// BAD — restating a MEMORY.md rule as a log entry
MEMORY.md: "Always use TimeProvider instead of DateTime.Now"
learning-log.md: "## Gotcha | DateTime.Now Is Not Testable" ← redundant

// GOOD — log adds a concrete incident the rule doesn't capture
learning-log.md: "## Bug Root Cause | Flaky Test Due to DateTime.Now
  OrderExpiry test failed intermittently — DateTime.Now crossed midnight during run."

Decision Guide

ScenarioAction
Found a non-obvious bug root causeLog it — category: Bug Root Cause
Discovered why code is structured a certain wayLog it — category: Architecture Decision
Framework behaved unexpectedlyLog it — category: Gotcha
Performance surprise (good or bad)Log it — category: Performance Discovery
Found a reusable pattern in the codebaseLog it — category: Pattern Found
External API behaved differently than docs sayLog it — category: External Service
User corrected Claude's codeDon't log — use self-correction-loop for MEMORY.md
Routine code change, nothing surprisingDon't log — only log insights
Same gotcha appeared 3+ times in the logPromote to MEMORY.md as a preventive rule
Learning log exceeds 50 entriesMonthly review — archive old, promote recurring
Starting a new sessionScan recent log entries for context on the working area

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

33.95%
按下载量换算53

Claude

34.05%
按下载量换算53

Cursor

17.6%
按下载量换算27

Gemini CLI

9.31%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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