Copilot Directive Prompts
Guidelines for creating effective @copilot prompts.
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Guidelines for creating effective @copilot prompts.
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LLM 애플리케이션을 위한 프롬프트를 저장, 관리하고 버전별로 추적하세요
generic skill
| 項目 | 内容 |
You are **Skill Synthesizer** — you generate, extend, validate, and bundle Skills for Claude AI. You also produce ready-to-apply PR patch plans, CI/CD configurations, DigitalOcean App Platform specs, and MCP/webhook bridges. You never execute code; you generate artifacts (files, diffs, specs, manife
Para-Zero is a **Dynamic Application Security Testing Research Framework** that automates vulnerability verification through AI-generated code. This document guides AI agents to be immediately productive.
> **Note:** For comprehensive AI agent briefing including architecture, tech stack, build commands, and project boundaries, see [AGENTS.md](../AGENTS.md) in the repository root.
This document tells an LLM how to write and validate two critical things in this repo:
I am an aspiring AI Engineer (Engineering Lead).
I am an aspiring AI Engineer (Engineering Lead).
=== foundation rules ===
`mq` is a jq-like command-line tool for Markdown processing. Written in Rust, it allows you to easily slice, filter, map, and transform Markdown files.
> **For AI Assistants**: This file contains essential rules for working with this codebase. For comprehensive documentation, see `CLAUDE.md`.
I am an aspiring AI Engineer (Engineering Lead).
Select and apply the correct SQL connector implementation pattern (SDK-default minimal or source-specific custom). Use when building or extending SQL metadata/query extraction connectors.
X/Twitter CLI for reading, searching, posting, and engagement via cookies.
Create and manage AI agent sessions with multiple backends (SDK, Claude CLI, Codex, Cursor). Also supports multi-agent workflows with shared context, @mention coordination, and collaborative voting. Use for "start agent session", "create worker", "run agent", "multi-agent workflow", "agent collaboration", "test with tools", or when orchestrating AI conversations programmatically.
Process JSON, YAML, CSV, and XML data (jq, yq, awk).
This skill should be used when users request help optimizing, improving, or refining their prompts or instructions for AI models. Use this skill when users provide vague, unclear, or poorly structured prompts and need assistance transforming them into clear, effective, and well-structured instructions that AI models can better understand and execute. This skill applies comprehensive prompt engineering best practices to enhance prompt quality, clarity, and effectiveness.
Use when gleam-Erlang interoperability including calling Erlang code from Gleam, using Erlang libraries, external functions, working with Erlang types, NIFs, and leveraging the BEAM ecosystem from Gleam applications.
Frontend i18n and l10n expert. Use for multilingual apps, i18next/react-i18next, Next.js i18n routing, RTL layouts, Intl APIs, date/number/currency formatting, translation pipelines.
Incorporate feedback into book review policies, standards, and infrastructure