by fengshao1227
多模型协作工作流引擎 — /ccg:go 一个命令,AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行
# Add to your Claude Code skills
git clone https://github.com/fengshao1227/ccg-workflowLast scanned: 4/19/2026
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"scannedAt": "2026-04-19T06:01:14.617Z",
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}ccg-workflow is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by fengshao1227. 多模型协作工作流引擎 — /ccg:go 一个命令,AI 自动分析意图、选择策略、编排 Codex + Gemini + Claude 协作执行. It has 5,881 GitHub stars.
ccg-workflow returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.
Clone the repository with "git clone https://github.com/fengshao1227/ccg-workflow" and add it to your Claude Code skills directory (see the Installation section above).
ccg-workflow is primarily written in Go. It is open-source under fengshao1227 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh ccg-workflow against similar tools.
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Requires a passing catalog security scan. Resolve the flagged issues and resubmit to enable featuring.
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简体中文 | English | Documentation
Thanks to APIMart for sponsoring this project! APIMart is a low-cost API platform for AI image & video generation — GPT-Image-2 from $0.006/image, 160+ images per dollar. One async API covers both image and video: submit a task, get an ID, fetch results via polling or callback. Batch tens of thousands of images without timeouts, switch models without changing code. Pay-as-you-go with no monthly fee — sign up here to get started.
💡 APIMart also exposes an Anthropic-compatible endpoint, so it can serve as your API provider for Claude Code itself — run
npx ccg-workflow, pick APIMart at Step 1, and paste your key.
Gamma Remover — Free browser-local Gamma watermark remover for PDF & PPTX. No signup, instant results, 100% private. Your files never leave your device.
dsh-ccgThe same role matrix, running natively inside DeepSeek Harness. It ships inside this package — no second install, no second version to track.
npx ccg-workflow dsh install # every profile found; --profile <name> for one
npx ccg-workflow dsh list # which profiles have it
Or pick D. DeepSeek Harness from npx ccg-workflow.
Seven role-pinned delegation tools, each on its own model with its own expert persona — and two things the Claude Code side cannot do as cleanly:
ccg_team hires a role as a colleague that stays alive across turns, owns its own files (a colliding hire is refused, not warned about), and reports back on its own. Every hire asks you to approve it first.No external CLI, no binary bridge, no cold-start tax — every hop is a provider API request. Source lives in dsh-ccg/; full README →
DSH Marketplace — a directory of DeepSeek Harness plugins. 2,500+ indexed across 14 categories, bilingual EN / 中文.
Not a sponsor — same author as CCG, built out of a plain annoyance: DSH plugins are multiplying fast, but figuring out what one does, whether it still installs, and what the command actually is meant opening one GitHub README after another. So the install commands here are put through a throwaway container first. A plugin only gets a check mark if it really installs — and if it can't, the listing says why (buried in a monorepo subdirectory, never published to npm, and so on). A verified index, not another awesome list.
dsh plugin --profile web add dshmarketplace-plugin # browse the store from inside DSH
npx dshmarketplace-cli add owner/repo # install any plugin from your shell
There is also a Python SDK and a public API. Early days — bug reports and plugin submissions are very welcome on GitHub.
CCG is a workflow engine for Claude Code. It turns Claude into a multi-model orchestrator — Claude stays in control while dispatching specialized work to Codex (OpenAI), Grok (xAI), Kimi Code (Moonshot), and Antigravity through a Go binary bridge.
One command. Describe what you want. The engine handles the rest.
npx ccg-workflow # Install in 60 seconds
Claude Code is the lead orchestrator. It analyzes your intent, selects a strategy, and manages the entire workflow. The Hook Engine injects state every turn so Claude never loses context — even after compaction. The codeagent-wrapper (a compiled Go binary) bridges Claude to external models for parallel analysis and review.
You: /ccg:go add JWT authentication to this API
CCG Engine:
1. Reads project context (git status, tech stack, file structure)
2. Classifies: feature / L complexity / backend / high risk
3. Selects strategy: full-collaborate
4. Creates .ccg/tasks/add-jwt-auth/task.json
5. Launches dual-model analysis (Codex + Gemini in parallel)
6. Produces plan → HARD STOP for your approval
7. Spawns Agent Teams Builders for parallel implementation
8. Runs quality gates + dual-model cross-review
9. Reports results
Every turn, a hook injects:
<ccg-state>
Task: add-jwt-auth (in_progress)
Strategy: full-collaborate
Phase: 4-implementation
</ccg-state>
The engine auto-selects the right strategy based on task type and complexity:
| Strategy | When | External Models | Agent Teams |
|---|---|---|---|
direct-fix |
Simple bug, single file | — | — |
quick-implement |
Small feature, clear scope | — | — |
guided-develop |
Medium feature, needs planning | Single | — |
full-collaborate |
Complex feature, multi-module | Dual parallel | ✓ |
debug-investigate |
Complex bug, unknown cause | Dual diagnosis | — |
refactor-safely |
Code restructuring | Dual review | — |
deep-research |
Technical research | Dual exploration | — |
optimize-measure |
Performance optimization | Optional | — |
review-audit |
Code review | Dual cross-review | — |
git-action |
commit, rollback, branches | — | — |
Simple tasks run fast with zero overhead. Complex tasks get the full engine.
4 JavaScript hooks inject state into every Claude Code session:
| Hook | Event | What it does |
|---|---|---|
workflow-state.js |
Every turn | Injects current task state as breadcrumb |
session-start.js |
Session start/compact | Re-injects full project context |
subagent-context.js |
Agent/Bash spawn | Injects spec directly into subagent prompts |
skill-router.js |
Every turn | Auto-injects domain knowledge by keyword |
Context survives compaction. Sub-agents born with spec in their prompt. Zero state loss.
Medium+ complexity tasks get a persistent directory:
.ccg/tasks/add-jwt-auth/
├── task.json # Status, strategy, phase, gate
├── requirements.md # Enhanced requirements
├── plan.md # Approved implementation plan
├── context.jsonl # Spec files for sub-agent injection
├── review.md # Review results
└── research/ # Persisted research findings
| Gate | Trigger |
|---|---|
/ccg:verify-security |
New modules, security changes |
/ccg:verify-quality |
Changes > 30 lines |
/ccg:verify-change |
Doc sync check |
/ccg:verify-module |
Module structure check |
/ccg:gen-docs |
Auto-generate README + DESIGN |
When your message mentions security, caching, RAG, Kubernetes, etc., the relevant knowledge file is auto-injected. 10 domains, 61 files:
Security · Architecture · DevOps · AI/MLOps · Development · Frontend Design · Infrastructure · Mobile · Data Engineering · Orchestration
Self-contained skills, each usable on its own or auto-triggered by intent. Drawn from real site-building work and shipped