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from stellarlinkco
Run and orchestrate codeagent-wrapper tasks across multiple AI backends (Codex, Claude, Gemini, OpenCode) for parallel code analysis, large refactors, and multi
Provides a wrapper around codeagent-wrapper that lets agents execute complex code tasks across multiple backends (Codex, Claude, Gemini, OpenCode). It supports agent presets, skill injection, worktree isolation, parallel task orchestration, and structured JSON output — useful for large-scale refactors, multi-agent pipelines, and automated code generation.
Use this skill when you need to: deep-analyze codebases, run coordinated multi-step engineering workflows (explore → design → implement → review), execute parallel subtasks with dependency management, or run reproducible CLI-driven agent presets. Prefer --parallel for multi-task runs and --worktree when making filesystem changes.
This skill is designed for agents that can run CLI tools and manage multi-backend LLMs (Codex, Claude, Gemini, OpenCode) and fits into multi-agent orchestrators and developer-focused assistants.
Codeagent wrapper skill for orchestrating multi-backend AI code tasks (Codex, Claude, Gemini, OpenCode) with agent presets, parallel execution, and worktree isolation. No bundled scripts to test. SKILL.md is comprehensive and well-documented but relies entirely on an external codeagent-wrapper CLI being installed. Defaults to skipping permission prompts and bypassing sandbox, which is a security concern.
Security deductions for default env vars that bypass sandbox/permissions (-12). Architecture lacks scripts/ or references/ directories — everything is in one large SKILL.md. Useful for teams using multiple AI coding backends but niche audience and heavy setup requirement.
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