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brewcode%3aagentsbrewcode 3aagents 搜索

Agent Skill

brewcode%3aagents 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

279

周安装

12

GitHub Stars

24

下载量

98
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:brewcode%3aagents(brewcode 3aagents 搜索)
来源仓库:https://github.com/kochetkov-ma/claude-brewcode
仓库路径:skills/brewcode%3Aagents
安装命令:
npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill brewcode:agents
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/kochetkov-ma/claude-brewcode --skill brewcode:agents

简介

交互式创建和改进 Claude Code 代理,支持描述文本更新和路径管理。

  • 适用于需要定制化 Agent 行为的场景,提供 help、create、up 三种模式。
  • 使用前需明确代理用途和目标,避免生成重复或无用的配置。
  • 输出结果应保留原始 agent 文件结构,确保向后兼容性和可追溯性。
  • 建议结合测试用例验证代理效果,持续优化提示词和约束条件。

SKILL.md

agents Skill

Agent Management: Create and improve Claude Code agents interactively.

Phase 1: Parse Arguments

Extract mode and target from $ARGUMENTS:

PatternModeTarget
emptyhelp--
create <desc>createdescription text
`up <name\path>`upagent name or path
`<name\path>` (not keyword)up (shorthand)name or path

Examples:

  • /brewcode:agents --> help
  • /brewcode:agents create backend validator --> create, target=backend validator
  • /brewcode:agents up reviewer --> up, target=reviewer
  • /brewcode:agents.claude/agents/reviewer.md --> up, target=path (shorthand)

Mode: help (empty args)

Print usage and stop:

# brewcode:agents

Agent management - create and improve Claude Code agents.

## Usage
- `/brewcode:agents create <description>` -- create new agent
- `/brewcode:agents up <name|path>` -- improve existing agent
- `/brewcode:agents <name|path>` -- improve (shorthand)

## Examples
- `/brewcode:agents create backend validator`
- `/brewcode:agents up reviewer`
- `/brewcode:agents .claude/agents/reviewer.md`

Mode: create

Step 1: AskUserQuestion (batch -- all questions in ONE call)

Ask all 3 questions in a single AskUserQuestion:

Q1 -- Placement:

header: "Agent scope"
question: "Where to place the agent?"
options:
  - label: "Project (.claude/agents/)"
    description: "Team-shared, scoped to this project"
  - label: "Global (~/.claude/agents/)"
    description: "Available in all projects"
  - label: "Plugin (brewcode/agents/)"
    description: "Distributed with plugin"

Q2 -- Model:

header: "Model"
question: "Preferred model?"
options:
  - label: "sonnet -- balanced (Recommended)"
    description: "Best balance of quality and speed for most agents"
  - label: "opus -- complex analysis"
    description: "For tasks requiring deep reasoning"
  - label: "haiku -- fast/simple"
    description: "For quick lookup or simple transformations"
  - label: "inherit -- from session"
    description: "No model field — agent inherits model from calling session"

Model mapping: sonnetsonnet, opusopus, haikuhaiku, inherit → omit model: field entirely.

Q3 -- CLAUDE.md update:

header: "CLAUDE.md"
question: "Update CLAUDE.md agents table after creation?"
options:
  - label: "Yes -- add row to agents table"
    description: "Adds agent to the agents table in CLAUDE.md"
  - label: "No -- skip"
    description: "Skip CLAUDE.md update"

Save answers as: SCOPE, SCOPE_PATH, MODEL, UPDATE_CLAUDE_MD.

Path mapping:

  • "Project (.claude/agents/)" --> .claude/agents/
  • "Global (~/.claude/agents/)" --> ~/.claude/agents/
  • "Plugin (brewcode/agents/)" --> brewcode/agents/

Step 2: Spawn agent-creator

Task tool:
  subagent_type: "brewcode:agent-creator"
  prompt: |
    Create an agent for: {DESCRIPTION}

    Placement: {SCOPE} ({SCOPE_PATH})
    Model: {MODEL}

    Follow the agent-creator creation process:
    1. Parallel codebase analysis (Explore agents)
    2. Ask clarifying questions (role, tools, triggers)
    3. Write frontmatter + system prompt
    4. Validate against checklist

    Output: full agent file path after creation.
  model: opus

Capture result as AGENT_PATH.

Step 3: Apply text-optimize

Skill(skill="text-optimize", args="{AGENT_PATH}")

Step 4: Update CLAUDE.md (if user approved)

  • Read project CLAUDE.md
  • Find agents table (look for | Agent | or | Name | header row with | Scope | or | Purpose | columns)
  • If table exists: add row | agent-name | scope | model | triggers |
  • If no table: append section: ## Agents | Agent | Scope | Model | Triggers | |-------|-------|-------|----------| | {agent-name} | {scope} | {model} | {triggers} |
  • Use Edit tool (never Write for existing files)

Mode: up (improve existing)

Step 1: Resolve path/name

EXECUTE using Bash tool:

TARGET="UP_TARGET_HERE"
# Trim whitespace
TARGET="$(echo "$TARGET" | xargs)"

if [[ -z "$TARGET" ]]; then
  echo "NO_TARGET"
  exit 1
fi

# Check if direct file
if [[ -f "$TARGET" ]]; then
  echo "FOUND: $TARGET"
elif [[ -f "$TARGET.md" ]]; then
  echo "FOUND: $TARGET.md"
elif [[ -d "$TARGET" ]] && [[ -f "$TARGET/$(basename "$TARGET").md" ]]; then
  echo "FOUND: $TARGET/$(basename "$TARGET").md"
else
  # Search by name in known locations
  FOUND=""
  for loc in ".claude/agents" "$HOME/.claude/agents" "brewcode/agents"; do
    if [[ -f "$loc/$TARGET.md" ]]; then
      FOUND="$loc/$TARGET.md"
      break
    elif [[ -f "$loc/$TARGET" ]]; then
      FOUND="$loc/$TARGET"
      break
    fi
  done
  if [[ -n "$FOUND" ]]; then
    echo "FOUND: $FOUND"
  else
    echo "NOT_FOUND: $TARGET"
  fi
fi

Replace UP_TARGET_HERE with the actual target extracted from $ARGUMENTS (strip up prefix if present).

STOP if NOT_FOUND -- report error and list available agents.

Read the resolved agent file to extract name, purpose, current content.

Step 2: AskUserQuestion (2 questions in ONE call)

Q1 -- Focus:

header: "Improvement focus"
question: "What to improve?"
options:
  - label: "Triggers/activation"
    description: "Improve description and trigger examples for better auto-detection"
  - label: "System prompt quality"
    description: "Enhance instructions, checklist, output format"
  - label: "Both (Recommended)"
    description: "Triggers + system prompt quality"
  - label: "Full review + project context"
    description: "Complete review including project-specific knowledge update"

Q2 -- CLAUDE.md update:

header: "CLAUDE.md"
question: "Update CLAUDE.md agents table after?"
options:
  - label: "Yes"
    description: "Update agents table row in CLAUDE.md"
  - label: "No"
    description: "Skip CLAUDE.md update"

Save answers as: IMPROVEMENT_FOCUS, UPDATE_CLAUDE_MD.

Step 3: Spawn agent-creator

Task tool:
  subagent_type: "brewcode:agent-creator"
  prompt: |
    Improve existing agent. Focus: {IMPROVEMENT_FOCUS}

    Agent path: {AGENT_PATH}
    Current content:
    {AGENT_CONTENT}

    Tasks:
    1. Analyze current strengths/weaknesses
    2. Improve description trigger examples
    3. Enhance system prompt clarity
    4. Apply agent-creator best practices
    5. Save updated file

    Output: full agent file path after update.
  model: opus

Step 4: Apply text-optimize

Skill(skill="text-optimize", args="{AGENT_PATH}")

Step 5: Update CLAUDE.md (if approved)

Same logic as create Step 4. If row already exists for this agent, update it instead of adding a new one.


Output Format

# agents [{MODE}]

## Detection

| Field | Value |
|-------|-------|
| Arguments | `$ARGUMENTS` |
| Mode | `[create|up|help]` |
| Target | `[description or path]` |

## Result

| Field | Value |
|-------|-------|
| Agent | `[path]` |
| Model | `[model]` |
| Scope | `[project|global|plugin]` |
| CLAUDE.md | `[updated|skipped]` |

## Next Steps

- [recommendations]

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

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

36.26%
按下载量换算36

Claude

31.35%
按下载量换算31

Cursor

17.16%
按下载量换算17

Gemini CLI

10.26%
按下载量换算10

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/kochetkov-ma/claude-brewcode --skill brewcode:agents 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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