القائمة
Initialize a new CLAUDE.md file documenting the codebase. Use when asked to create or improve a CLAUDE.md / agent-guidance file that future agent instances will read to operate in this repository.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create, optimize, and evaluate reusable AgentEvolver HTML Workflows. Use when a repeated successful multi-agent orchestration should be retained, when an evolvable Workflow has recurring orchestration-level defects, or when a live version needs evidence for keep, improve, or rollback decisions.
Create new skills, improve/optimize existing skills, and evaluate skill quality — the full skill lifecycle. Use this whenever the task involves authoring a skill from scratch, editing or improving an existing skill, evaluating/scoring a skill, running test cases to measure whether a skill helps, or tuning a skill's description for better triggering. MetaAgent uses it to orchestrate the create→evaluate→improve loop across sub-agents.
Create new agents, improve/optimize existing agents (both Python class and HTML prompt), and evaluate agent quality — the full agent lifecycle in this framework. Use whenever the task involves authoring a new agent, editing/improving an existing agent or its prompt, or evaluating/scoring an agent. MetaAgent uses it to orchestrate the create→evaluate→improve loop across sub-agents.
Create new connectors (CONNECTOR.md configs that connect the framework to an MCP server), improve/optimize existing connectors, evaluate connector quality, and — when needed — build a new MCP server to connect to. Use this whenever the task involves adding a connector for an MCP server, writing/editing a CONNECTOR.md, evaluating whether a connector's actions let an agent accomplish tasks, or building an MCP server from scratch (Python FastMCP or Node/TS). MetaAgent uses it to orchestrate the create→evaluate→improve loop across sub-agents.
Create new environments, improve/optimize existing environments, and evaluate environment quality — the full environment lifecycle in this framework. Use whenever the task involves authoring a new environment (a stateful Python class exposing actions, plus an ENVIRONMENT.md), editing/improving an existing environment, or evaluating/scoring one. MetaAgent uses it to orchestrate the create→evaluate→improve loop across sub-agents.
Create new tools, improve/optimize existing tools, and evaluate tool quality — the full tool lifecycle in this framework. Use whenever the task involves authoring a new tool (a Python class the agents can call), editing/improving an existing tool, or evaluating/scoring a tool. MetaAgent uses it to orchestrate the create→evaluate→improve loop across sub-agents.
| name | init_skill |
| description | Initialize a new CLAUDE.md file documenting the codebase. Use when asked to create or improve a CLAUDE.md / agent-guidance file that future agent instances will read to operate in this repository. |
| version | 1.0.0 |
| type | worker |
| license | N/A |
| category | workflow |
| requirements | ["cpu"] |
| metadata | {} |
Please analyze this codebase and create a CLAUDE.md file, which will be given to future agent instances to operate in this repository.
.cursor/rules/ or .cursorrules) or Copilot rules (in .github/copilot-instructions.md), make sure to include the important parts.# CLAUDE.md
This file provides guidance to future agent instances when working with code in this repository.
Use read_file_tool / glob_search_tool / grep_search_tool to analyze the
codebase and write_file_tool to create CLAUDE.md. When done, call done_tool
(result = the path written and a one-line summary of what you documented).