{"task":"Use Relation Graph in an agent workflow","recommendations":[{"rank":1,"skill":"Relation Graph","slug":"relation-graph-relation-graph","description":"relation-graph is an  relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully customize graph elements with plain React/Vue/Svelte/HTML components, relation-graph also uses an LLM-friendly architecture and provides knowledge content.","confidence":"1.00","match_label":"Strong task match","install":"npx skills add relation-graph/relation-graph","repository":"https://github.com/relation-graph/relation-graph","stats":{"stars":2252,"downloads":0,"rating":0,"quality_score":65.17},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"2.3K","tone":"positive"},{"label":"Freshness","value":"25d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add relation-graph/relation-graph"},{"status":"pass","label":"Repository","detail":"https://github.com/relation-graph/relation-graph"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"25d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"2.3K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Meaningful GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":97,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add relation-graph/relation-graph","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Relation Graph\" agent skill from https://github.com/relation-graph/relation-graph. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: relation-graph is an relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully customize graph elements with plain React/Vue/Svelte/HTML components, relation-graph also uses an LLM-friendly architecture and provides knowledge content.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Relation Graph\" as a Claude Code skill from https://github.com/relation-graph/relation-graph. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: relation-graph is an relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully customize graph elements with plain React/Vue/Svelte/HTML components, relation-graph also uses an LLM-friendly architecture and provides knowledge content.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Relation Graph\" from https://github.com/relation-graph/relation-graph into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: relation-graph is an relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully customize graph elements with plain React/Vue/Svelte/HTML components, relation-graph also uses an LLM-friendly architecture and provides knowledge content.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"urls":{"web":"https://www.openagentskill.com/skills/relation-graph-relation-graph","api":"https://www.openagentskill.com/api/agent/skills/relation-graph-relation-graph","install_api":"https://www.openagentskill.com/api/skills/relation-graph-relation-graph/install","audit":"https://www.openagentskill.com/skills/relation-graph-relation-graph/audit","repository":"https://github.com/relation-graph/relation-graph"},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for RAG and knowledge","role":"Primary pick","adoption_stage":"Adopt","primary_fit":"RAG and knowledge","best_for":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No OpenAgentSkill engagement data yet"],"proof_points":["2,252 GitHub stars","recent repository activity","install command or GitHub repo available","100/100 quality profile"],"next_steps":["Install it in a sandbox agent and run one RAG and knowledge task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"recommendation_reasons":["Matches task terms: use, relation, graph, agent","Useful GitHub adoption: 2,252 stars","Install handoff is available","Repository freshness signal is available","Registry match score 206"],"reasoning":"Strong task match. Evidence: verified author, 65 quality score. relation-graph is an  relationship graph component for React/Vue/Svelte relationship data visualization/edit. Through its slot-based customization model, users can fully customize graph elements with plain React/Vue/Svelte/HTML components, relation-graph also uses an LLM-friendly architecture and provides knowledge content."},{"rank":2,"skill":"CGraph","slug":"chunelfeng-cgraph","description":"【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流","confidence":"1.00","match_label":"Strong task match","install":"npx skills add ChunelFeng/CGraph","repository":"https://github.com/ChunelFeng/CGraph","stats":{"stars":2278,"downloads":0,"rating":0,"quality_score":65.2},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"2.3K","tone":"positive"},{"label":"Freshness","value":"1mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add ChunelFeng/CGraph"},{"status":"pass","label":"Repository","detail":"https://github.com/ChunelFeng/CGraph"},{"status":"pass","label":"License","detail":"MIT"},{"status":"pass","label":"Maintenance","detail":"1mo since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"2.3K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"pass","label":"OpenAgentSkill usage","detail":"1 views, 0 install copies"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Meaningful GitHub adoption signal"],"warnings":[]},"audit":{"audit_score":95,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":[]},"install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add ChunelFeng/CGraph","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"CGraph\" agent skill from https://github.com/ChunelFeng/CGraph. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"CGraph\" as a Claude Code skill from https://github.com/ChunelFeng/CGraph. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"CGraph\" from https://github.com/ChunelFeng/CGraph into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"urls":{"web":"https://www.openagentskill.com/skills/chunelfeng-cgraph","api":"https://www.openagentskill.com/api/agent/skills/chunelfeng-cgraph","install_api":"https://www.openagentskill.com/api/skills/chunelfeng-cgraph/install","audit":"https://www.openagentskill.com/skills/chunelfeng-cgraph/audit","repository":"https://github.com/ChunelFeng/CGraph"},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Workflow automation","role":"Primary pick","adoption_stage":"Adopt","primary_fit":"Workflow automation","best_for":["Workflow automation workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No major risk signals from current metadata"],"proof_points":["2,278 GitHub stars","recent repository activity","install command or GitHub repo available","100/100 quality profile","2 OpenAgentSkill engagement events"],"next_steps":["Install it in a sandbox agent and run one Workflow automation task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"use_cases":[{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"}],"recommendation_reasons":["Matches task terms: use, graph, agent, workflow","Useful GitHub adoption: 2,278 stars","Install handoff is available","Repository freshness signal is available","Registry match score 204"],"reasoning":"Strong task match. Evidence: verified author, 65 quality score. 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流"},{"rank":3,"skill":"AgentGuide","slug":"adongwanai-agentguide","description":"https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成","confidence":"1.00","match_label":"Strong task match","install":"npx skills add adongwanai/AgentGuide","repository":"https://github.com/adongwanai/AgentGuide","stats":{"stars":5885,"downloads":0,"rating":0,"quality_score":68.09},"quality":{"score":100,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"5.9K","tone":"positive"},{"label":"Freshness","value":"5d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"Unknown","tone":"neutral"}],"warnings":[]},"trust":{"score":100,"tier":"production","label":"Production candidate","summary":"Strong trust signals across adoption, maintenance, install readiness, and review status.","recommendedAction":"Shortlist for production use, then run a normal repository and dependency review.","checks":[{"status":"pass","label":"Ownership","detail":"Listing manually verified"},{"status":"pass","label":"Install path","detail":"npx skills add adongwanai/AgentGuide"},{"status":"pass","label":"Repository","detail":"https://github.com/adongwanai/AgentGuide"},{"status":"warn","label":"License","detail":"Unknown"},{"status":"pass","label":"Maintenance","detail":"5d since push"},{"status":"pass","label":"AI review","detail":"Approved with no listed issues"},{"status":"pass","label":"Adoption","detail":"5.9K GitHub stars"},{"status":"pass","label":"Documentation","detail":"Usable description available"},{"status":"pass","label":"OpenAgentSkill usage","detail":"3 views, 0 install copies"}],"strengths":["Manually verified listing","AI review approved","Recently maintained repository","Large GitHub adoption signal"],"warnings":["License is unclear"]},"audit":{"audit_score":95,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["License is unclear"]},"install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx skills add adongwanai/AgentGuide","description":"Use the registry command when your workflow supports the OpenAgentSkill installer.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"AgentGuide\" agent skill from https://github.com/adongwanai/AgentGuide. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"AgentGuide\" as a Claude Code skill from https://github.com/adongwanai/AgentGuide. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"AgentGuide\" from https://github.com/adongwanai/AgentGuide into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"urls":{"web":"https://www.openagentskill.com/skills/adongwanai-agentguide","api":"https://www.openagentskill.com/api/agent/skills/adongwanai-agentguide","install_api":"https://www.openagentskill.com/api/skills/adongwanai-agentguide/install","audit":"https://www.openagentskill.com/skills/adongwanai-agentguide/audit","repository":"https://github.com/adongwanai/AgentGuide"},"decision":{"readiness_score":100,"readiness_label":"Production-ready","headline":"Primary pick for Coding agents","role":"Primary pick","adoption_stage":"Adopt","primary_fit":"Coding agents","best_for":["Coding agents workflows","Claude Code teams","teams that value GitHub adoption signals"],"risks":["No major risk signals from current metadata"],"proof_points":["5,885 GitHub stars","recent repository activity","install command or GitHub repo available","100/100 quality profile","4 OpenAgentSkill engagement events"],"next_steps":["Install it in a sandbox agent and run one Coding agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"}],"recommendation_reasons":["Matches task terms: use, graph, agent, workflow","Useful GitHub adoption: 5,885 stars","Install handoff is available","Repository freshness signal is available","Registry match score 188"],"reasoning":"Strong task match. Evidence: verified author, 68 quality score. https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成"}],"suggested_composition":{"name":"relation-graph-relation-graph-agent-stack","description":"Start with Relation Graph, then add CGraph + AgentGuide only if the workflow needs extra coverage.","skills":["relation-graph-relation-graph","chunelfeng-cgraph","adongwanai-agentguide"],"steps":["Prototype the task with Relation Graph as the primary skill.","Add the second skill only if the first one leaves a capability gap.","Keep the third skill as a fallback during evaluation instead of installing everything at once."]},"suggested_stacks":[{"slug":"web-data-pipeline","name":"Web data pipeline stack","url":"https://www.openagentskill.com/collections/web-data-pipeline","use_case":"web-scraping"},{"slug":"coding-review-agent","name":"Coding review agent stack","url":"https://www.openagentskill.com/collections/coding-review-agent","use_case":"coding-agents"}],"meta":{"timestamp":"2026-06-14T20:44:10.596Z","api_version":"1.0","total_skills_searched":980,"public_search_endpoint":"https://www.openagentskill.com/api/skills/search","agent_friendly":true}}