# Everything Agent CLI To Claude Code

> Bring web-login, CLI-first AI capabilities back into a Claude Code or LikeCode-centered workflow. Use when you want to call Codex, Gemini, Qwen, or Grok as external workers from within Claude Code.

- Skill: `harzva/everything-agent-cli-to-claude-code` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add harzva/everything-agent-cli-to-claude-code`
- Raw SKILL.md: https://api.skillmd.com/api/skills/harzva/everything-agent-cli-to-claude-code/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: harzva (https://skillmd.com/u/harzva)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/harzva/everything-agent-cli-to-claude-code

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# Everything Agent-CLI to Claude Code

## Overview

This skill collection bridges CLI-first model access back into a Claude Code-centered workflow.

It solves the problem where:
- access is granted through web login
- usage is tied to an official CLI
- free or subscription quotas exist
- but a normal public API is missing, incomplete, or does not match the paid entitlement

**Key idea**: Claude Code or LikeCode stays the **control plane**, while external CLIs become **specialized workers**.

## Modes

### 1. Single-provider mode

Use this when you want one external model for a specific task.

Pattern:
1. Prepare prompt text
2. Invoke provider wrapper (e.g., `bin/usecli-gemini.sh`)
3. Capture stdout as result
4. Hand result back to Claude Code

### 2. Multi-model review mode

Use this when you want multiple perspectives in one task.

Pattern:
1. Prepare shared prompt
2. Call multiple provider wrappers in sequence or parallel
3. Collect all outputs
4. Merge findings in Claude Code

See [references/workflow-multi-model-review.md](./references/workflow-multi-model-review.md) for the full workflow.

## Sub-skills

This collection contains four provider-specific sub-skills that can be installed independently:

| Sub-skill | Purpose | Best for |
| --- | --- | --- |
| `usecli-codex` | OpenAI Codex integration | implementation-oriented feedback, code-aware review |
| `usecli-gemini` | Google Gemini integration | broad review, first-pass critique, structured feedback |
| `usecli-qwen` | Alibaba Qwen integration | secondary critique, math reasoning, multilingual |
| `usecli-grok` | xAI Grok integration | critical review, alternative perspectives |

Each sub-skill has its own SKILL.md, README.md, scripts/, and tests/ - fully independently installable and testable.

## Recommended workspace layout

For multi-model workflows, prefer:

- prompts in `examples/prompts/`
- outputs in `examples/outputs/`
- workflow scripts in `examples/workflows/`
- reference docs in `references/`

## Guardrails

- Do not assume external CLIs are available without checking first
- Do not expose API keys or auth tokens in command arguments
- Keep each provider call bounded to one task
- Prefer prompt files over inline prompts for long or sensitive content
- Use timeout environment variables for long-running calls

## Resources

### `bin/usecli-lib.sh`

Shared library for all provider wrappers. Provides argument parsing, prompt handling, and execution helpers.

### `bin/usecli-codex.sh`

Codex CLI wrapper. See [usecli-codex/SKILL.md](./usecli-codex/SKILL.md).

### `bin/usecli-gemini.sh`

Gemini CLI wrapper. See [usecli-gemini/SKILL.md](./usecli-gemini/SKILL.md).

### `bin/usecli-qwen.sh`

Qwen CLI wrapper. See [usecli-qwen/SKILL.md](./usecli-qwen/SKILL.md).

### `bin/usecli-grok.sh`

Grok CLI wrapper. See [usecli-grok/SKILL.md](./usecli-grok/SKILL.md).

### `examples/workflows/multi-model-review.sh`

Runnable multi-model review workflow. Demonstrates calling Gemini and Qwen in sequence.

### `tests/test_wrappers.sh`

Smoke test for all umbrella wrappers. Proves command construction works without provider login.

### `references/skill-naming.md`

Naming strategy for unified `usecli:*` entrypoints and provider-specific `<provider>:<action>` skills.

### `references/command-skill-contract.md`

Minimal executable contract for command-oriented skills.

### `references/architecture.md`

Layering model: auth, mapping, translation, integration, UX.