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claudifyclaudify 搜索

Agent Skill

claudify 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

3,693

周安装

157

GitHub Stars

公开资料未说明

下载量

1,294
OpenClaw

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

MIT-0

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:claudify(claudify 搜索)
来源仓库:https://github.com/drumrobot/claudify
安装命令:
openclaw skills install claudify
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install claudify

简介

将通用功能转换为可执行的 Claude Code 自动化流程。

  • 支持交互式主管代理模式提升复杂任务处理能力。
  • 适合构建标准化工作流模板。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 部署前应测试目标环境与依赖项匹配度。
  • claudify 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
claudify
metadata
author
es6kr
version
0.1.2
depends-on
[skill-kit]
description
Convert functionality into Claude Code automation. Includes interactive supervisor agent pattern (see resources/agent-templates.md §7). Use when the user says "agentify", "agentic", "automate this", "create an agent", "make a plugin", "make a skill", "interactive agent", "supervisor pattern", or wants to automate a workflow as an agent, skill, or plugin.
allowed-tools

Claudify

Guide users to convert functionality into the appropriate Claude Code automation type (Agent, Skill, Rule, Command, or Hook).

Decision Matrix

TypeWhen to useImplementation
AgentHigh autonomy, multi-tool.claude/agents/name.md
SkillDomain expertise, logic.claude/skills/name/SKILL.md
RuleConstraints, styling.claude/rules/name.md
Slash CommandUser types /cmdSimple prompt templates
HookEvents (tool use, etc)Automation on actions

Full comparison: automation-decision-guide.md

Workflow

Step 1: Identify Candidates

If no target specified ("agentify" alone):

  • Review conversation for automation candidates
  • Look for: verbose outputs, multi-step workflows, repeated patterns
  • MUST use multiSelect: true when presenting candidates (users often want multiple)

If target specified:

  1. Check local marketplaces first:

- ~/.claude/plugins/marketplaces/*/plugins/*/ - Use /skill-dedup command to find overlaps

  1. If not found locally, search remote: WebFetch https://claudemarketplaces.com/?search=[keyword]
  2. If found, recommend existing or extend. If not, proceed to create

Step 1.5: Merge logic / Grouping / AskUserQuestion

When duplicate or similar automation candidates are found, confirm grouping and merge options with the user using AskUserQuestion.

Grouping criteria:

  • Similarity in model or functionality
  • Contextual similarity
  • Keyword grouping (e.g., "openclaw management")

Merge criteria:

ConditionRecommendation
3+ similar topicsmulti-topic Skill
Different triggers + same skillGeneral Agent
Simple instructions + Bash scriptSkill (Agent with skill)
Complex multi-step + multiple toolsAgent

AskUserQuestion (merge options): "Candidates found. How should I structure them?" options: - "Merge related topics into one multi-topic skill (e.g., openclaw: exec/gateway/test)" - "Create separate agents for each functionality" - "Skill + Agent combination (instruction=skill, implementation=agent)"

PROHIBITED: Do not create separate agents without merging candidates into a logical structure if they are related.

Step 2: Gather Requirements

Use AskUserQuestion to clarify:

  • Triggers: Commands or conditions that activate the automation
  • Tools: Required tools or skills
  • Scope: Global (~/.claude/) / Project (.claude/)
  • Language: code comments, variable names, documentation

Question patterns: askuserquestion-patterns.md

Step 3: Recommend Type

Use the automation-decision-guide.md to recommend the best type.

Step 4: Create

CRITICAL: Follow the creation method for each type

Skill with scripts (If scripts are required, use skill directory structure):

skill-name/
├── SKILL.md          # frontmatter + documentation + node scripts/xxx.js (mode)
├── topic-a.md        # topic file
├── topic-b.md        # topic file
└── scripts/
    └── xxx.js        # actual logic (temp location, permanent storage)
  • Do not create tmp_*.js in current directory; move to scripts/
  • Call in SKILL.md: node <skill-dir>/scripts/xxx.js <mode>
  • Use relative path from __dirname in scripts
  • Separate implementation logic and topic files

Skill (no scripts): MUST use skill-writer (do NOT create directly)

Skill tool: skill: "project-automation:skill-writer"

Agent: Create in ~/.claude/agents/ or .claude/agents/

Rules: Create in ~/.claude/rules/ or .claude/rules/

Slash Command: Create in ~/.claude/commands/ or .claude/commands/

Hook: Add to settings.json

Plugin (open source):

Step 5: Validate

  1. Register or copy to target location
  2. Reload Claude Code:

1. Manual sync to cache, OR 2. New session to reload

Auto-sync hook: plugin-cache-sync.sh syncs marketplace to cache on Edit/Write

Output Guidelines

Keep responses concise:

  1. List identified candidates (with multiSelect)
  2. Summarize the recommended structure (Merge logic)
  3. Provide the creation plan
ContextmultiSelect
Automation candidatestrue (users often want multiple)
Merge options (Complexity)false (merge vs separation - mutually exclusive)
Type selectionfalse (mutually exclusive)
Scope selectionfalse (one location)
Feature selectiontrue (additive choices)

Success Case

Scenario (2026-03-09):

  • Found 3 openclaw-related functions
  • Proposed 3 options for merging
  • Result: Implementation success, user satisfied

Key factors:

  1. Identification of 3 functions
  2. "Merge?" AskUserQuestion
  3. merging skills using skill-writer (multi-topic)

Ralph Mode (AskUserQuestion bypass)

If .ralph/ directory exists, operate in Ralph Mode.

Workflow Change:

StepUser InteractionWorkflow
Step 1: Auto-detectAskUserQuestion (multiSelect)Summary info to .ralph/improvements.md
Step 1.5: Merge logic / Structure-improvements.md recording
Step 2: RequirementsAskUserQuestiontrigger/scope recommendation to improvements.md
Step 3: Type recommendationRecommend onlyimprovements.md recording
Step 4: ImplementationDirect actionPROHIBITED - Use [NEEDS_REVIEW] tag
Step 5: ValidationValidationAuto validation (after changes are complete)

improvements.md recording example

## Agentify Candidate (Implementation)

### [Candidate Name]
- **Context**: [Why it was found]
- **Recommended Type**: [Skill/Agent/Hook/Slash Command]
- **Recommended Structure**: [Topics]
- **Rationale**: [Why it's recommended]
- **Tag**: [NEEDS_REVIEW]

Self-Improvement

After changes are complete, Self-improve based on conversation:

  1. Identify failure and workaround patterns
  2. If candidates found, run /skill-kit upgrade agentify

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

74.16%
按下载量换算960

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

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。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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