{"data":{"slug":"fengshao1227-ccg-workflow","name":"ccg-workflow","tagline":"Multi-model collaboration workflow engine -- one command for intent analysis, strategy selection, and coordinated execution of Codex + Gemini + Claude","github_url":"https://github.com/fengshao1227/ccg-workflow","owner":"fengshao1227","repo":"ccg-workflow","owner_avatar_url":"https://avatars.githubusercontent.com/u/177014058?v=4","primary_language":"Go","stars":5886,"forks":446,"topics":["agent-teams","ai","ccg","claude-code","cli","codex","gemini","llm","no-de","nodejs","opsxspec","prompt","workflow"],"archived":false,"github_pushed_at":"2026-09-03T03:31:56+00:00","maintenance_label":"Active","stars_delta_30d":78,"url":"https://www.graphcanon.com/tools/fengshao1227-ccg-workflow","markdown_url":"https://www.graphcanon.com/tools/fengshao1227-ccg-workflow.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fengshao1227-ccg-workflow","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fengshao1227-ccg-workflow","description":"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","homepage_url":"https://ccg.fengshao1227.com","license":"MIT","open_issues":1,"watchers":21,"ai_summary":"A workflow engine named ccg-workflow that automates the analysis of user intents, selects appropriate strategies, and orchestrates multiple AI models including Codex, Gemini, and Claude to execute tasks. It supports a single command invocation, and features a Go implementation.","readme_excerpt":"## Quick Start\n\n**Option A — full install (multi-model orchestration + commands + hooks + binary, recommended)**\n\n```bash\n\n---\n\n# Install (interactive 4-step wizard)\nnpx ccg-workflow\n\n---\n\n## License\n\nMIT\n\n---\n\nv3.6.4 | [Issues](https://github.com/fengshao1227/ccg-workflow/issues) | [Contributing](./CONTRIBUTING.md)","github_created_at":"2026-01-04T15:56:26+00:00","created_at":"2026-07-15T10:47:02.799984+00:00","updated_at":"2026-09-20T04:27:06.373085+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agent-teams","name":"agent-teams"},{"slug":"ai","name":"ai"},{"slug":"ccg","name":"ccg"},{"slug":"claude-code","name":"claude-code"},{"slug":"cli","name":"cli"},{"slug":"codex","name":"codex"},{"slug":"gemini","name":"gemini"},{"slug":"llm","name":"llm"}],"trust":{"provenance":{"is_fork":false,"github_id":1127793756,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-15T06:00:34.272Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":1,"days_since_push":12,"last_release_at":"2026-09-03T03:31:56Z","stars_delta_30d":78,"open_issues_delta_30d":-5},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:47:04.358Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-15T06:00:34.744Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-15T06:00:34.744Z"},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-09-15T06:00:34.744Z"},"languages":{"value":["go","javascript","typescript"],"source":"github.language+package.json","observed_at":"2026-09-15T06:00:34.744Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-15T06:00:34.744Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["- Go programming language must be installed on the environment where ccg-workflow will run.","- The environment should allow installations from npm and have access to the package registry for ccg-workflow."]},"constraints":null,"when_to_use":["- You need to automate the analysis of user intents, strategy selection, and execution in environments where multiple AI models like Codex, Gemini, and Claude are integrated.","- Your application requires a single command for initiating complex workflows that involve coordinated executions across different AI agents."],"when_not_to_use":["- If your project strictly requires using non-Go languages for workflow orchestration, ccg-workflow might not be suitable.","- In scenarios where the use of only one specific AI model is preferred over a collaborative approach involving Codex, Gemini, and Claude, this tool may not fulfill your needs."],"source":"enrich:decision_facts","observed_at":"2026-07-16T21:02:22.667Z"},"constraint_facets":null,"decision_summary":[{"label":"Requirements","value":"- Go programming language must be installed on the environment where ccg-workflow will run.; - The environment should allow installations from npm and have access to the package registry for ccg-workflow."},{"label":"Adopt for","value":"ccg-workflow is a Go-based workflow engine that automates multi-model collaboration, supporting Codex, Gemini, and Claude."},{"label":"License detail","value":"ccg-workflow is released under the MIT license."}]}}