[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FPREW1PE8ASQPSK5HSVJY0":3,"skill-same:01M6FPREW1PE8ASQPSK5HSVJY0":81},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":36,"linkOnly":37,"markdownContent":38,"markdownBody":39,"frontMatter":40,"refName":42,"commitSha":43,"skillDirectory":44,"forksCount":45,"repositoryHtmlUrl":46,"repositoryHomepageUrl":6,"ownerHtmlUrl":47,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":48,"install":49,"resources":62},"01M6FPREW1PE8ASQPSK5HSVJY0","freeride-opencode",null,"Configure and optimize OpenCode Zen free models with smart fallbacks for subtasks, heartbeat, and cron jobs. Use when setting up cost-effective AI model routing with automatic failover between free models.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fheldinhow\u002Ffreeride-opencode\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35],"freeride opencode","freeride","opencode","cost","with","free","optimize","ai model routing","jobs","models","routing","up","use","heartbeat","model","configure","cron","cron jobs","2026-11-10 10:12:30",false,"---\nname: freeride-opencode\ndescription: Configure and optimize OpenCode Zen free models with smart fallbacks for subtasks, heartbeat, and cron jobs. Use when setting up cost-effective AI model routing with automatic failover between free models.\nversion: 1.0.0\n---\n\n# Freeride OpenCode\n\nConfigure OpenCode Zen free models with intelligent fallbacks to optimize costs while maintaining reliability.\n\n## Quick Start\n\nApply optimal free model configuration:\n\n```json\n{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": {\n        \"primary\": \"opencode\u002Fminimax-m2.1-free\",\n        \"fallbacks\": [\n          \"opencode\u002Fkimi-k2.5-free\",\n          \"opencode\u002Fglm-4.7-free\",\n          \"opencode\u002Fgpt-5-nano\"\n        ]\n      },\n      \"heartbeat\": {\n        \"model\": \"opencode\u002Fgpt-5-nano\"\n      },\n      \"subagents\": {\n        \"model\": \"opencode\u002Fkimi-k2.5-free\"\n      }\n    }\n  }\n}\n```\n\n## Model Selection Guide\n\nSee [models.md](models.md) for detailed model comparisons, capabilities, and provider information.\n\n| Task Type | Recommended Model | Rationale |\n|-----------|------------------|-----------|\n| **Primary\u002FGeneral** | MiniMax M2.1 Free | Best free model capability |\n| **Subtasks** | Kimi K2.5 Free | Balanced cost\u002Fperformance |\n| **Heartbeat** | GPT 5 Nano | Fastest and cheapest |\n| **Cron Jobs** | Depends on complexity |\n\n### Free Models Available\n\n| Model | ID | Best For |\n|-------|-----|----------|\n| **MiniMax M2.1 Free** | `opencode\u002Fminimax-m2.1-free` | Complex reasoning, coding |\n| **Kimi K2.5 Free** | `opencode\u002Fkimi-k2.5-free` | General purpose, balance |\n| **GLM 4.7 Free** | `opencode\u002Fglm-4.7-free` | Multilingual, fallback |\n| **GPT 5 Nano** | `opencode\u002Fgpt-5-nano` | Simple tasks, high frequency |\n\n## Fallback Strategy\n\nConfigure fallbacks in priority order:\n\n```json\n\"fallbacks\": [\n  \"opencode\u002Fkimi-k2.5-free\",    \u002F\u002F Second best capability\n  \"opencode\u002Fglm-4.7-free\",       \u002F\u002F Alternative provider\n  \"opencode\u002Fgpt-5-nano\"          \u002F\u002F Fallback of last resort\n]\n```\n\n**Fallback triggers:**\n- Rate limits exceeded\n- Auth failures\n- Timeouts\n- Provider unavailability\n\n## Per-Task Configuration\n\n### Heartbeat (Every 30 min)\n\n```json\n\"heartbeat\": {\n  \"every\": \"30m\",\n  \"model\": \"opencode\u002Fgpt-5-nano\"\n}\n```\n\nUse the cheapest model for frequent, lightweight checks.\n\n### Subtasks\u002FSubagents\n\n```json\n\"subagents\": {\n  \"model\": \"opencode\u002Fkimi-k2.5-free\"\n}\n```\n\nGood balance for secondary tasks that need reasonable capability.\n\n### Complete Example\n\n```json\n{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": {\n        \"primary\": \"opencode\u002Fminimax-m2.1-free\",\n        \"fallbacks\": [\n          \"opencode\u002Fkimi-k2.5-free\",\n          \"opencode\u002Fglm-4.7-free\",\n          \"opencode\u002Fgpt-5-nano\"\n        ]\n      },\n      \"models\": {\n        \"opencode\u002Fminimax-m2.1-free\": { \"alias\": \"MiniMax M2.1\" },\n        \"opencode\u002Fkimi-k2.5-free\": { \"alias\": \"Kimi K2.5\" },\n        \"opencode\u002Fglm-4.7-free\": {},\n        \"opencode\u002Fgpt-5-nano\": {}\n      },\n      \"heartbeat\": {\n        \"every\": \"30m\",\n        \"model\": \"opencode\u002Fgpt-5-nano\"\n      },\n      \"subagents\": {\n        \"model\": \"opencode\u002Fkimi-k2.5-free\"\n      }\n    }\n  }\n}\n```\n\n## Applying Configuration\n\nUse OpenClaw CLI:\n\n```bash\nopenclaw config.patch --raw '{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": {\n        \"primary\": \"opencode\u002Fminimax-m2.1-free\",\n        \"fallbacks\": [\"opencode\u002Fkimi-k2.5-free\", \"opencode\u002Fglm-4.7-free\", \"opencode\u002Fgpt-5-nano\"]\n      },\n      \"heartbeat\": { \"model\": \"opencode\u002Fgpt-5-nano\" },\n      \"subagents\": { \"model\": \"opencode\u002Fkimi-k2.5-free\" }\n    }\n  }\n}'\n```\n\n## Best Practices\n\n1. **Always have fallbacks** - Configure at least 2-3 fallback models\n2. **Mix providers** - Reduces single-provider risk\n3. **Match model to task** - Don't use MiniMax for simple checks\n4. **Test fallback order** - Put more capable models first\n5. **Monitor usage** - Track which models get used most\n\n## Troubleshooting\n\n**Rate limits still occurring?**\n- Add more fallback models\n- Consider reducing heartbeat frequency\n\n**Responses too slow?**\n- Move GPT 5 Nano higher in fallback chain\n- Use simpler model for subtasks\n\n**Model not available?**\n- Check model ID format: `opencode\u002Fmodel-id-free`\n- Verify model is still free (check [models.md](models.md))\n\n## References\n\n### [models.md](models.md)\nComplete reference of all free models with capabilities, providers, performance comparisons, and error handling.\n\n### [templates.md](templates.md)\nReady-to-use configuration templates for different use cases (minimal, complete, cost-optimized, performance-optimized).\n\n### [examples\u002Fusage.md](examples\u002Fusage.md)\nPractical examples showing how to use this skill in real scenarios.\n","# Freeride OpenCode\n\nConfigure OpenCode Zen free models with intelligent fallbacks to optimize costs while maintaining reliability.\n\n## Quick Start\n\nApply optimal free model configuration:\n\n```json\n{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": {\n        \"primary\": \"opencode\u002Fminimax-m2.1-free\",\n        \"fallbacks\": [\n          \"opencode\u002Fkimi-k2.5-free\",\n          \"opencode\u002Fglm-4.7-free\",\n          \"opencode\u002Fgpt-5-nano\"\n        ]\n      },\n      \"heartbeat\": {\n        \"model\": \"opencode\u002Fgpt-5-nano\"\n      },\n      \"subagents\": {\n        \"model\": \"opencode\u002Fkimi-k2.5-free\"\n      }\n    }\n  }\n}\n```\n\n## Model Selection Guide\n\nSee [models.md](models.md) for detailed model comparisons, capabilities, and provider information.\n\n| Task Type | Recommended Model | Rationale |\n|-----------|------------------|-----------|\n| **Primary\u002FGeneral** | MiniMax M2.1 Free | Best free model capability |\n| **Subtasks** | Kimi K2.5 Free | Balanced cost\u002Fperformance |\n| **Heartbeat** | GPT 5 Nano | Fastest and cheapest |\n| **Cron Jobs** | Depends on complexity |\n\n### Free Models Available\n\n| Model | ID | Best For |\n|-------|-----|----------|\n| **MiniMax M2.1 Free** | `opencode\u002Fminimax-m2.1-free` | Complex reasoning, coding |\n| **Kimi K2.5 Free** | `opencode\u002Fkimi-k2.5-free` | General purpose, balance |\n| **GLM 4.7 Free** | `opencode\u002Fglm-4.7-free` | Multilingual, fallback |\n| **GPT 5 Nano** | `opencode\u002Fgpt-5-nano` | Simple tasks, high frequency |\n\n## Fallback Strategy\n\nConfigure fallbacks in priority order:\n\n```json\n\"fallbacks\": [\n  \"opencode\u002Fkimi-k2.5-free\",    \u002F\u002F Second best capability\n  \"opencode\u002Fglm-4.7-free\",       \u002F\u002F Alternative provider\n  \"opencode\u002Fgpt-5-nano\"          \u002F\u002F Fallback of last resort\n]\n```\n\n**Fallback triggers:**\n- Rate limits exceeded\n- Auth failures\n- Timeouts\n- Provider unavailability\n\n## Per-Task Configuration\n\n### Heartbeat (Every 30 min)\n\n```json\n\"heartbeat\": {\n  \"every\": \"30m\",\n  \"model\": \"opencode\u002Fgpt-5-nano\"\n}\n```\n\nUse the cheapest model for frequent, lightweight checks.\n\n### Subtasks\u002FSubagents\n\n```json\n\"subagents\": {\n  \"model\": \"opencode\u002Fkimi-k2.5-free\"\n}\n```\n\nGood balance for secondary tasks that need reasonable capability.\n\n### Complete Example\n\n```json\n{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": {\n        \"primary\": \"opencode\u002Fminimax-m2.1-free\",\n        \"fallbacks\": [\n          \"opencode\u002Fkimi-k2.5-free\",\n          \"opencode\u002Fglm-4.7-free\",\n          \"opencode\u002Fgpt-5-nano\"\n        ]\n      },\n      \"models\": {\n        \"opencode\u002Fminimax-m2.1-free\": { \"alias\": \"MiniMax M2.1\" },\n        \"opencode\u002Fkimi-k2.5-free\": { \"alias\": \"Kimi K2.5\" },\n        \"opencode\u002Fglm-4.7-free\": {},\n        \"opencode\u002Fgpt-5-nano\": {}\n      },\n      \"heartbeat\": {\n        \"every\": \"30m\",\n        \"model\": \"opencode\u002Fgpt-5-nano\"\n      },\n      \"subagents\": {\n        \"model\": \"opencode\u002Fkimi-k2.5-free\"\n      }\n    }\n  }\n}\n```\n\n## Applying Configuration\n\nUse OpenClaw CLI:\n\n```bash\nopenclaw config.patch --raw '{\n  \"agents\": {\n    \"defaults\": {\n      \"model\": {\n        \"primary\": \"opencode\u002Fminimax-m2.1-free\",\n        \"fallbacks\": [\"opencode\u002Fkimi-k2.5-free\", \"opencode\u002Fglm-4.7-free\", \"opencode\u002Fgpt-5-nano\"]\n      },\n      \"heartbeat\": { \"model\": \"opencode\u002Fgpt-5-nano\" },\n      \"subagents\": { \"model\": \"opencode\u002Fkimi-k2.5-free\" }\n    }\n  }\n}'\n```\n\n## Best Practices\n\n1. **Always have fallbacks** - Configure at least 2-3 fallback models\n2. **Mix providers** - Reduces single-provider risk\n3. **Match model to task** - Don't use MiniMax for simple checks\n4. **Test fallback order** - Put more capable models first\n5. **Monitor usage** - Track which models get used most\n\n## Troubleshooting\n\n**Rate limits still occurring?**\n- Add more fallback models\n- Consider reducing heartbeat frequency\n\n**Responses too slow?**\n- Move GPT 5 Nano higher in fallback chain\n- Use simpler model for subtasks\n\n**Model not available?**\n- Check model ID format: `opencode\u002Fmodel-id-free`\n- Verify model is still free (check [models.md](models.md))\n\n## References\n\n### [models.md](models.md)\nComplete reference of all free models with capabilities, providers, performance comparisons, and error handling.\n\n### [templates.md](templates.md)\nReady-to-use configuration templates for different use cases (minimal, complete, cost-optimized, performance-optimized).\n\n### [examples\u002Fusage.md](examples\u002Fusage.md)\nPractical examples showing how to use this skill in real scenarios.\n",{"name":5,"version":41,"description":7},"1.0.0","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fheldinhow\u002Ffreeride-opencode",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":50,"prompt":60,"zipAvailable":61},[51,54,57],{"tool":52,"command":53},"npx","npx skills add kbarbel640-del\u002Fskills --skill freeride-opencode",{"tool":55,"command":56},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill freeride-opencode",{"tool":58,"command":59},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill freeride-opencode","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fheldinhow\u002Ffreeride-opencode\u002FSKILL.md",true,[63,69,73,77],{"path":64,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":67,"sourceHtmlUrl":68},"_meta.json","REFERENCE","参考文档",289,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fheldinhow\u002Ffreeride-opencode\u002F_meta.json",{"path":70,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":71,"sourceHtmlUrl":72},"examples\u002Fusage.md",5909,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fheldinhow\u002Ffreeride-opencode\u002Fexamples\u002Fusage.md",{"path":74,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":75,"sourceHtmlUrl":76},"references\u002Fmodels.md",3963,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fheldinhow\u002Ffreeride-opencode\u002Freferences\u002Fmodels.md",{"path":78,"resourceType":65,"resourceTypeDesc":66,"sizeBytes":79,"sourceHtmlUrl":80},"references\u002Ftemplates.md",3438,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fheldinhow\u002Ffreeride-opencode\u002Freferences\u002Ftemplates.md",[82,112,140,161,167,187],{"skillNo":83,"name":84,"nameZh":6,"description":85,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":86,"categories":87,"keywords":93,"publishedAt":36},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[88],{"categoryNo":89,"categoryName":90,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[94,95,96,22,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111],"crowd prompting","prompting","api","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":123,"publishedAt":36},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[118],{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[124,96,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,100,30],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":141,"name":142,"nameZh":6,"description":143,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":144,"categories":145,"keywords":149,"publishedAt":36},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. 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Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[193,194],{"categoryNo":119,"categoryName":120,"taxonomyType":121,"taxonomyTypeDesc":122},{"categoryNo":195,"categoryName":196,"taxonomyType":91,"taxonomyTypeDesc":92},"01JBSEEDCAT000000000000037","律师与法务",[198,199,200,201,22,202,203,42,204,158,205,206,207,208,209,109,210,211,212],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]