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Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAgent-Execute\u002Fautogpt\u002Fautogpt\u002FSKILL.md",[365],{"categoryNo":211,"categoryName":212,"taxonomyType":6,"taxonomyTypeDesc":7},[127,367,368,369,370,371,372,373,374,375,349,223,376,377,227,378,337,379,261,232,234,380],"autogpt agents","research","ai agent","workflow","automation","autonomous agents","Workflow Automation","Visual Builder","AI Platform","builder","visual","systems","ai automation","agent platform",{"skillNo":382,"name":361,"nameZh":13,"description":362,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":383,"categories":384,"keywords":386,"publishedAt":237},"01M6KQTNAFRRAAVCAZMNTH879H","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAgent-Execute\u002Fautogpt\u002FSKILL.md",[385],{"categoryNo":211,"categoryName":212,"taxonomyType":6,"taxonomyTypeDesc":7},[127,367,368,369,370,371,372,373,374,375,349,223,376,377,227,378,337,379,261,232,234,380],{"skillNo":388,"name":389,"nameZh":13,"description":390,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":391,"categories":392,"keywords":394,"publishedAt":237},"01M6KQSX162M7W2VZWQMM06K1M","evolving-ai-agents","Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAgent-Execute\u002Fa-evolve\u002Fa-evolve\u002FSKILL.md",[393],{"categoryNo":211,"categoryName":212,"taxonomyType":6,"taxonomyTypeDesc":7},[395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,232,234],"ai agents","evolving ai agents","agentic","agentic ai","benchmark","Optimization","Evaluation","discovery","evolve","skill discovery","domain","self","algorithms","across","Prompt Optimization","loops","self-improving","lab","implementing",{"skillNo":415,"name":389,"nameZh":13,"description":390,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":416,"categories":417,"keywords":419,"publishedAt":237},"01M6KQSPNHNV5MWMP23K0EW4YP","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAgent-Execute\u002Fa-evolve\u002FSKILL.md",[418],{"categoryNo":211,"categoryName":212,"taxonomyType":6,"taxonomyTypeDesc":7},[395,396,397,398,399,400,401,402,403,404,405,406,407,408,409,410,411,412,413,232,234],{"skillNo":421,"name":422,"nameZh":13,"description":423,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":424,"categories":425,"keywords":426,"publishedAt":237},"01M6KQSDWPBRGV0CC7FB728KS8","verl-rl-training","Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fverl\u002Fverl\u002FSKILL.md",[],[253,427,428,429,430,216,431,432,433,434,435,288,436,223,407,437,438,261,413,232,234],"rl","verl","verl rl training","llms","Distributed Training","Post-Training","RLHF","PPO","Ray","learning","volcano","at",{"skillNo":440,"name":422,"nameZh":13,"description":423,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":441,"categories":442,"keywords":443,"publishedAt":237},"01M6KQS92VEC68HR31NWBAXCXQ","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Fverl\u002FSKILL.md",[],[253,427,428,429,430,216,431,432,433,434,435,288,436,223,407,437,438,261,413,232,234],{"skillNo":445,"name":446,"nameZh":13,"description":447,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":448,"categories":449,"keywords":450,"publishedAt":237},"01M6KQS57YMJGP3DYJFQ6XVB3S","unsloth","Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA\u002FQLoRA optimization","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Funsloth\u002Funsloth\u002FSKILL.md",[],[451,339,368,253,452,400,453,454,455,456,288,457,458,459,460,461,462,463,261,232],"Unsloth","fast","Fine-Tuning","LoRA","QLoRA","Fast Training","tuning","datasets","guidance","expert","TRL","PEFT","with",{"skillNo":465,"name":446,"nameZh":13,"description":447,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":466,"categories":467,"keywords":468,"publishedAt":237},"01M6KQS1PQYPX40PBF1HPCS5S5","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Funsloth\u002FSKILL.md",[],[451,339,368,253,452,400,453,454,455,456,288,457,458,459,460,461,462,463,261,232],{"skillNo":470,"name":471,"nameZh":13,"description":472,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":473,"categories":474,"keywords":475,"publishedAt":237},"01M6KQRX115BXSWRDP48BRHKT7","fine-tuning-with-trl","Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO\u002FGRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Ftrl-fine-tuning\u002Ftrl-fine-tuning\u002FSKILL.md",[],[457,476,477,461,463,430,253,400,432,433,288,436,222,478,479,480,481,482,261,232,234],"fine tuning","fine tuning with trl","feedback","alignment","align","human","Accelerate",{"skillNo":484,"name":471,"nameZh":13,"description":472,"descriptionZh":13,"repositoryFullName":201,"ownerLogin":202,"ownerAvatarUrl":203,"ownerAccountNo":204,"ownerDisplayName":13,"repositoryNo":205,"starsCount":206,"licenseSpdxId":242,"licenseFileUrl":13,"sourceHtmlUrl":485,"categories":486,"keywords":487,"publishedAt":237},"01M6KQRQK3E7CXEJ9K52NQ84S6","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FAI-Training\u002Ftrl-fine-tuning\u002FSKILL.md",[],[457,476,477,461,463,430,253,400,432,433,288,436,222,478,479,480,481,482,261,232,234],10869,18]