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local-skills-setup本地技能设置

Agent Skill

local-skills-setup 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

594

周安装

25

GitHub Stars

31,988

下载量

208
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:local-skills-setup(本地技能设置)
来源仓库:https://github.com/yeachan-heo/oh-my-claudecode
仓库路径:skills/local-skills-setup
安装命令:
npx skills add https://github.com/yeachan-heo/oh-my-claudecode --skill local-skills-setup
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/yeachan-heo/oh-my-claudecode --skill local-skills-setup

简介

local-skills-setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于需要根据关键词或任务场景从本地资源中获取信息的场景。
  • 通过安装命令添加到宿主环境后,可结合原始 README 核验具体用法。
  • 安装前需确认权限范围、维护状态,避免触发联网或文件读写操作。
  • 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

Local Skills Setup

This skill provides a guided wizard for setting up and managing your local learned skills. Skills are reusable problem-solving patterns that Claude automatically applies when it detects matching triggers.

Why Local Skills?

Local skills allow you to capture hard-won insights and solutions that are specific to your codebase or workflow:

  • Project-level skills (.omc/skills/) - Version-controlled with your repo
  • User-level skills (~/.claude/skills/omc-learned/) - Portable across all your projects

When you solve a tricky bug or discover a non-obvious workaround, you can extract it as a skill. Claude will automatically detect and apply these skills in future conversations when it sees matching triggers.

Interactive Workflow

Step 1: Directory Check and Setup

First, check if skill directories exist and create them if needed:

# Check and create user-level skills directory
USER_SKILLS_DIR="$HOME/.claude/skills/omc-learned"
if [ -d "$USER_SKILLS_DIR" ]; then
  echo "User skills directory exists: $USER_SKILLS_DIR"
else
  mkdir -p "$USER_SKILLS_DIR"
  echo "Created user skills directory: $USER_SKILLS_DIR"
fi

# Check and create project-level skills directory
PROJECT_SKILLS_DIR=".omc/skills"
if [ -d "$PROJECT_SKILLS_DIR" ]; then
  echo "Project skills directory exists: $PROJECT_SKILLS_DIR"
else
  mkdir -p "$PROJECT_SKILLS_DIR"
  echo "Created project skills directory: $PROJECT_SKILLS_DIR"
fi

Step 2: Skill Scan and Inventory

Scan both directories and show a comprehensive inventory:

# Scan user-level skills
echo "=== USER-LEVEL SKILLS (~/.claude/skills/omc-learned/) ==="
if [ -d "$HOME/.claude/skills/omc-learned" ]; then
  USER_COUNT=$(find "$HOME/.claude/skills/omc-learned" -name "*.md" 2>/dev/null | wc -l)
  echo "Total skills: $USER_COUNT"

  if [ $USER_COUNT -gt 0 ]; then
    echo ""
    echo "Skills found:"
    find "$HOME/.claude/skills/omc-learned" -name "*.md" -type f -exec sh -c '
      FILE="$1"
      NAME=$(grep -m1 "^name:" "$FILE" 2>/dev/null | sed "s/name: //")
      DESC=$(grep -m1 "^description:" "$FILE" 2>/dev/null | sed "s/description: //")
      MODIFIED=$(stat -c "%y" "$FILE" 2>/dev/null || stat -f "%Sm" "$FILE" 2>/dev/null)
      echo "  - $NAME"
      [ -n "$DESC" ] && echo "    Description: $DESC"
      echo "    Modified: $MODIFIED"
      echo ""
    ' sh {} \;
  fi
else
  echo "Directory not found"
fi

echo ""
echo "=== PROJECT-LEVEL SKILLS (.omc/skills/) ==="
if [ -d ".omc/skills" ]; then
  PROJECT_COUNT=$(find ".omc/skills" -name "*.md" 2>/dev/null | wc -l)
  echo "Total skills: $PROJECT_COUNT"

  if [ $PROJECT_COUNT -gt 0 ]; then
    echo ""
    echo "Skills found:"
    find ".omc/skills" -name "*.md" -type f -exec sh -c '
      FILE="$1"
      NAME=$(grep -m1 "^name:" "$FILE" 2>/dev/null | sed "s/name: //")
      DESC=$(grep -m1 "^description:" "$FILE" 2>/dev/null | sed "s/description: //")
      MODIFIED=$(stat -c "%y" "$FILE" 2>/dev/null || stat -f "%Sm" "$FILE" 2>/dev/null)
      echo "  - $NAME"
      [ -n "$DESC" ] && echo "    Description: $DESC"
      echo "    Modified: $MODIFIED"
      echo ""
    ' sh {} \;
  fi
else
  echo "Directory not found"
fi

# Summary
TOTAL=$((USER_COUNT + PROJECT_COUNT))
echo "=== SUMMARY ==="
echo "Total skills across all directories: $TOTAL"

Step 3: Quick Actions Menu

After scanning, use the AskUserQuestion tool to offer these options:

Question: "What would you like to do with your local skills?"

Options:

  1. Add new skill - Start the skill creation wizard
  2. List all skills with details - Show comprehensive skill inventory with triggers
  3. Scan conversation for patterns - Analyze current conversation for skill-worthy patterns
  4. Import skill - Import a skill from URL or paste content
  5. Done - Exit the wizard

Option 1: Add New Skill

If user chooses "Add new skill", invoke the learner skill:

Use the Skill tool to invoke: learner

This will guide them through the extraction process with quality validation.

Option 2: List All Skills with Details

Show detailed information including trigger keywords:

echo "=== DETAILED SKILL INVENTORY ==="
echo ""

# Function to show skill details
show_skill_details() {
  FILE="$1"
  LOCATION="$2"

  echo "---"
  echo "Location: $LOCATION"
  echo "File: $(basename "$FILE")"

  # Extract frontmatter
  NAME=$(grep -m1 "^name:" "$FILE" 2>/dev/null | sed "s/name: //")
  DESC=$(grep -m1 "^description:" "$FILE" 2>/dev/null | sed "s/description: //")
  TRIGGERS=$(grep -m1 "^triggers:" "$FILE" 2>/dev/null | sed "s/triggers: //")
  QUALITY=$(grep -m1 "^quality:" "$FILE" 2>/dev/null | sed "s/quality: //")

  [ -n "$NAME" ] && echo "Name: $NAME"
  [ -n "$DESC" ] && echo "Description: $DESC"
  [ -n "$TRIGGERS" ] && echo "Triggers: $TRIGGERS"
  [ -n "$QUALITY" ] && echo "Quality: $QUALITY"

  # Last modified
  MODIFIED=$(stat -c "%y" "$FILE" 2>/dev/null | cut -d. -f1 || stat -f "%Sm" "$FILE" 2>/dev/null)
  echo "Last modified: $MODIFIED"
  echo ""
}

# Export function for subshell
export -f show_skill_details

# Show user-level skills
if [ -d "$HOME/.claude/skills/omc-learned" ]; then
  echo "USER-LEVEL SKILLS:"
  find "$HOME/.claude/skills/omc-learned" -name "*.md" -type f -exec bash -c 'show_skill_details "$0" "user-level"' {} \;
fi

# Show project-level skills
if [ -d ".omc/skills" ]; then
  echo "PROJECT-LEVEL SKILLS:"
  find ".omc/skills" -name "*.md" -type f -exec bash -c 'show_skill_details "$0" "project-level"' {} \;
fi

Option 3: Scan Conversation for Patterns

Analyze the current conversation context to identify potential skill-worthy patterns. Look for:

  • Recent debugging sessions with non-obvious solutions
  • Tricky bugs that required investigation
  • Codebase-specific workarounds discovered
  • Error patterns that took time to resolve

Report findings and ask if user wants to extract any as skills.

Option 4: Import Skill

Ask user to provide either:

  • URL: Download skill from a URL (e.g., GitHub gist)
  • Paste content: Paste skill markdown content directly

Then ask for scope:

  • User-level (~/.claude/skills/omc-learned/) - Available across all projects
  • Project-level (.omc/skills/) - Only for this project

Validate the skill format and save to the chosen location.

Step 4: Skill Templates

Provide quick templates for common skill types. When user wants to create a skill, offer these starting points:

Error Solution Template

---
id: error-[unique-id]
name: [Error Name]
description: Solution for [specific error in specific context]
source: conversation
triggers: ["error message fragment", "file path", "symptom"]
quality: high
---

# [Error Name]

## The Insight
What is the underlying cause of this error? What principle did you discover?

## Why This Matters
What goes wrong if you don't know this? What symptom led here?

## Recognition Pattern
How do you know when this applies? What are the signs?
- Error message: "[exact error]"
- File: [specific file path]
- Context: [when does this occur]

## The Approach
Step-by-step solution:
1. [Specific action with file/line reference]
2. [Specific action with file/line reference]
3. [Verification step]

## Example
\`\`\`typescript
// Before (broken)
[problematic code]

// After (fixed)
[corrected code]
\`\`\`

Workflow Skill Template

---
id: workflow-[unique-id]
name: [Workflow Name]
description: Process for [specific task in this codebase]
source: conversation
triggers: ["task description", "file pattern", "goal keyword"]
quality: high
---

# [Workflow Name]

## The Insight
What makes this workflow different from the obvious approach?

## Why This Matters
What fails if you don't follow this process?

## Recognition Pattern
When should you use this workflow?
- Task type: [specific task]
- Files involved: [specific patterns]
- Indicators: [how to recognize]

## The Approach
1. [Step with specific commands/files]
2. [Step with specific commands/files]
3. [Verification]

## Gotchas
- [Common mistake and how to avoid it]
- [Edge case and how to handle it]

Code Pattern Template

---
id: pattern-[unique-id]
name: [Pattern Name]
description: Pattern for [specific use case in this codebase]
source: conversation
triggers: ["code pattern", "file type", "problem domain"]
quality: high
---

# [Pattern Name]

## The Insight
What's the key principle behind this pattern?

## Why This Matters
What problems does this pattern solve in THIS codebase?

## Recognition Pattern
When do you apply this pattern?
- File types: [specific files]
- Problem: [specific problem]
- Context: [codebase-specific context]

## The Approach
Decision-making heuristic, not just code:
1. [Principle-based step]
2. [Principle-based step]

## Example
\`\`\`typescript
[Illustrative example showing the principle]
\`\`\`

## Anti-Pattern
What NOT to do and why:
\`\`\`typescript
[Common mistake to avoid]
\`\`\`

Integration Skill Template

---
id: integration-[unique-id]
name: [Integration Name]
description: How [system A] integrates with [system B] in this codebase
source: conversation
triggers: ["system name", "integration point", "config file"]
quality: high
---

# [Integration Name]

## The Insight
What's non-obvious about how these systems connect?

## Why This Matters
What breaks if you don't understand this integration?

## Recognition Pattern
When are you working with this integration?
- Files: [specific integration files]
- Config: [specific config locations]
- Symptoms: [what indicates integration issues]

## The Approach
How to work with this integration correctly:
1. [Configuration step with file paths]
2. [Setup step with specific details]
3. [Verification step]

## Gotchas
- [Integration-specific pitfall #1]
- [Integration-specific pitfall #2]

Usage Modes

Direct Command Mode

When invoked with an argument, skip the interactive wizard:

  • /oh-my-claudecode:local-skills-setup list - Show detailed skill inventory
  • /oh-my-claudecode:local-skills-setup add - Start skill creation (invoke learner)
  • /oh-my-claudecode:local-skills-setup scan - Scan both skill directories

Interactive Mode

When invoked without arguments, run the full guided wizard (Steps 1-4).

Skill Quality Guidelines

Remind users that good skills are:

  1. Non-Googleable - Can't easily find via search

- BAD: "How to read files in TypeScript" ❌ - GOOD: "This codebase uses custom path resolution requiring fileURLToPath" ✓

  1. Context-Specific - References actual files/errors from THIS codebase

- BAD: "Use try/catch for error handling" ❌ - GOOD: "The aiohttp proxy in server.py:42 crashes on ClientDisconnectedError" ✓

  1. Actionable with Precision - Tells exactly WHAT to do and WHERE

- BAD: "Handle edge cases" ❌ - GOOD: "When seeing 'Cannot find module' in dist/, check tsconfig.json moduleResolution" ✓

  1. Hard-Won - Required significant debugging effort

- BAD: Generic programming patterns ❌ - GOOD: "Race condition in worker.ts - Promise.all at line 89 needs await" ✓

Benefits of Local Skills

When introducing the skill system, explain these benefits:

Automatic Application: Claude detects triggers and applies skills automatically - no need to remember or search for solutions.

Version Control: Project-level skills (.omc/skills/) are committed with your code, so the whole team benefits.

Evolving Knowledge: Skills improve over time as you discover better approaches and refine triggers.

Reduced Token Usage: Instead of re-solving the same problems, Claude applies known patterns efficiently.

Codebase Memory: Preserves institutional knowledge that would otherwise be lost in conversation history.

Related Skills

  • /oh-my-claudecode:learner - Extract a skill from current conversation
  • /oh-my-claudecode:note - Save quick notes (less formal than skills)
  • /oh-my-claudecode:deepinit - Generate AGENTS.md codebase hierarchy

Example Session

Show users what a typical session looks like:

> /oh-my-claudecode:local-skills-setup

Checking skill directories...
✓ User skills directory exists: ~/.claude/skills/omc-learned/
✓ Project skills directory exists: .omc/skills/

Scanning for skills...

=== USER-LEVEL SKILLS ===
Total skills: 3
  - async-network-error-handling
    Description: Pattern for handling independent I/O failures in async network code
    Modified: 2026-01-20 14:32:15

  - esm-path-resolution
    Description: Custom path resolution in ESM requiring fileURLToPath
    Modified: 2026-01-19 09:15:42

=== PROJECT-LEVEL SKILLS ===
Total skills: 5
  - session-timeout-fix
    Description: Fix for sessionId undefined after restart in session.ts
    Modified: 2026-01-22 16:45:23

  - build-cache-invalidation
    Description: When to clear TypeScript build cache to fix phantom errors
    Modified: 2026-01-21 11:28:37

=== SUMMARY ===
Total skills: 8

What would you like to do?
1. Add new skill
2. List all skills with details
3. Scan conversation for patterns
4. Import skill
5. Done

Tips for Users

  • Run /oh-my-claudecode:local-skills-setup scan periodically to review your skill library
  • After solving a tricky bug, immediately run learner to capture it
  • Use project-level skills for codebase-specific knowledge
  • Use user-level skills for general patterns that apply everywhere
  • Review and refine triggers over time to improve matching accuracy

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

26.49%
按下载量换算55

OpenCode

25.51%
按下载量换算53

Gemini CLI

19.2%
按下载量换算40

Antigravity

12.8%
按下载量换算27

Cursor

6.84%
按下载量换算14

Codex

3.32%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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

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