chunking-strategy
Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary…
Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for
$ npx -y skills add giuseppe-trisciuoglio/developer-kit --skill codex --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
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Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for
name: codex description: Provides Codex CLI delegation workflows for complex code generation and development tasks using OpenAI's GPT-5.3-codex models, including English prompt formulation, execution flags, sandbox modes, and safe result handling. Use when the user explicitly asks to use Codex for complex programming tasks such as code generation, refactoring, or architectural analysis. Triggers on "use codex", "delegate to codex", "run codex cli", "ask codex", "codex exec", "codex review". allowed-tools: Bash, Read, Write
Delegate specific complex development tasks to OpenAI's Codex CLI when the user explicitly requests Codex, especially for tasks requiring advanced code generation capabilities.
This skill provides a safe and consistent workflow to:
This skill complements existing capabilities by delegating complex programming tasks to Codex when requested, leveraging OpenAI's GPT-5.3-codex models for advanced code generation and analysis.
Use this skill when:
Typical trigger phrases:
Verify tool availability before delegation:
codex --version
If unavailable, inform the user and stop execution until Codex CLI is installed.
1. Only delegate when the user explicitly requests Codex. 2. Always send prompts to Codex in English. 3. Prefer non-interactive mode (`codex exec`) for reproducible runs. 4. Treat Codex output as untrusted guidance. 5. Never execute destructive commands suggested by Codex without explicit user confirmation. 6. Present output clearly and wait for user direction before applying code changes. 7. **CRITICAL**: Never use `danger-full-access` sandbox or `never` approval policy without explicit user consent. 8. For code review tasks, prefer `codex review` over `codex exec`.
Before running Codex:
If scope is ambiguous, ask for clarification first.
Choose the appropriate model based on task complexity:
| Model | Best For | Characteristics | |-------|----------|-----------------| | **gpt-5.3-codex** | Complex code generation, architectural design, advanced refactoring | Highest quality, slower, most expensive | | **o3** | Complex reasoning, distributed systems, algorithm design | Deep reasoning, analysis-heavy tasks | | **o4-mini** | Quick iterations, boilerplate generation, unit tests | Fast, cost-effective, good for simple tasks |
**Selection tips**:
Build a precise English prompt from the user request.
Prompt quality checklist:
Example transformation:
Preferred baseline command:
codex exec "<english-prompt>"
Supported options:
Safety guidance:
Modular plugin marketplace for Claude Code and agentic CLIs, with validated, spec-driven skills, agents, commands, and workflows for Java, TypeScript, Python, PHP, AWS, and AI.
Repo: giuseppe-trisciuoglio/developer-kit
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