[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G3C4HWMPCVHR9R3JQMWFTA":3,"skill-same:01M6G3C4HWMPCVHR9R3JQMWFTA":65},{"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":33,"linkOnly":34,"markdownContent":35,"markdownBody":36,"frontMatter":37,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":41,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6G3C4HWMPCVHR9R3JQMWFTA","mlscp",null,"Parse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language.","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\u002Fsirkrouph-dev\u002Fmlscp\u002FSKILL.md",[],[5,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32],"generate","protocol","communication","micro","parsing","swarm","instructions","use","communicating","language","natural language","commands","token","with","usage","2026-11-10 10:12:30",false,"---\nname: mlscp\ndescription: Parse and generate MLSCP (Micro LLM Swarm Communication Protocol) commands. Use when communicating with other agents efficiently, parsing compressed commands, or generating token-efficient instructions. Reduces token usage by 70-80% compared to natural language.\n---\n\n# MLSCP Skill\n\nMLSCP (Micro LLM Swarm Communication Protocol) is a token-efficient command language for agent-to-agent communication. This skill lets you parse, validate, and generate MLSCP commands without any LLM overhead.\n\n## Why Use MLSCP?\n\n| Natural Language | MLSCP | Savings |\n|-----------------|-------|---------|\n| \"Please modify the file src\u002Fchain_orchestrator.py by adding retry logic at line 47\" | `F+ s\u002Fco > ln47 + 'retry logic'` | ~75% |\n| \"Read the contents of utils\u002Ffile_manager.py from lines 10 to 50\" | `F? u\u002Ffm > ln10-50` | ~80% |\n| \"Delete the variable 'temp_cache' from config.py\" | `V- c\u002Fc > 'temp_cache'` | ~70% |\n\n## Quick Start\n\n### Parse a Command\n```bash\n.\u002Fscripts\u002Fmlscp.sh parse \"F+ s\u002Fco > ln47 + 'retry logic'\"\n```\n\n### Validate Syntax\n```bash\n.\u002Fscripts\u002Fmlscp.sh validate \"F+ s\u002Fco > ln47 + 'retry logic'\"\n```\n\n### Generate Vocabulary\n```bash\n.\u002Fscripts\u002Fmlscp.sh vocab \u002Fpath\u002Fto\u002Fproject\n```\n\n### Compress Natural Language\n```bash\n.\u002Fscripts\u002Fmlscp.sh compress \"Add error handling to the main function in app.py\"\n```\n\n## Command Reference\n\n### Operations\n| Code | Meaning | Example |\n|------|---------|---------|\n| `F+` | File add\u002Finsert | `F+ s\u002Fapp > ln10 + 'new code'` |\n| `F~` | File modify | `F~ s\u002Fapp > ln10-20 ~ 'updated code'` |\n| `F-` | File delete | `F- s\u002Fapp > ln10-15` |\n| `F?` | File query\u002Fread | `F? s\u002Fapp > ln1-100` |\n| `V+` | Variable add | `V+ s\u002Fapp + 'new_var = 42'` |\n| `V~` | Variable modify | `V~ s\u002Fapp > 'old_var' ~ 'new_value'` |\n| `V-` | Variable delete | `V- s\u002Fapp > 'temp_var'` |\n| `V?` | Variable query | `V? s\u002Fapp > 'config_*'` |\n\n### Location Specifiers\n- `ln47` - Single line\n- `ln10-50` - Line range\n- `fn:main` - Function name\n- `cls:MyClass` - Class name\n\n### Context Blocks\n```\nCTX{\"intent\":\"resilience\",\"priority\":\"high\",\"confidence\":0.9}\n```\n\n## Scripts\n\n- `mlscp.sh` - Main CLI tool\n- `vocab.py` - Vocabulary generator (Python)\n\n## Integration\n\n### With Other Agents\nWhen receiving commands from MLSCP-enabled agents:\n```bash\n.\u002Fscripts\u002Fmlscp.sh parse \"$INCOMING_COMMAND\"\n```\n\n### Sending Commands\nGenerate compact commands for other agents:\n```bash\n.\u002Fscripts\u002Fmlscp.sh compress \"Your natural language instruction\"\n```\n\n## API (Python)\n\n```python\nfrom mlscp import parse, MLSCPParser\n\n# Quick parse\ncmd = parse(\"F+ s\u002Fco > ln47 + 'retry logic'\")\nprint(cmd.operation)  # OperationType.FILE_ADD\nprint(cmd.target)     # \"s\u002Fco\"\n\n# With vocabulary\nparser = MLSCPParser(vocab_lookup)\ncmd = parser.parse(\"F+ s\u002Fco > ln47 + 'code'\")\nfull_path = vocab_lookup.get(\"s\u002Fco\")  # \"src\u002Fchain_orchestrator.py\"\n```\n\n## Resources\n\n- GitHub: https:\u002F\u002Fgithub.com\u002Fsirkrouph-dev\u002Fmlcp\n- Grammar Spec: See `references\u002Fgrammar.abnf`\n- Protocol Definition: See `references\u002Fprotocol.md`\n","# MLSCP Skill\n\nMLSCP (Micro LLM Swarm Communication Protocol) is a token-efficient command language for agent-to-agent communication. This skill lets you parse, validate, and generate MLSCP commands without any LLM overhead.\n\n## Why Use MLSCP?\n\n| Natural Language | MLSCP | Savings |\n|-----------------|-------|---------|\n| \"Please modify the file src\u002Fchain_orchestrator.py by adding retry logic at line 47\" | `F+ s\u002Fco > ln47 + 'retry logic'` | ~75% |\n| \"Read the contents of utils\u002Ffile_manager.py from lines 10 to 50\" | `F? u\u002Ffm > ln10-50` | ~80% |\n| \"Delete the variable 'temp_cache' from config.py\" | `V- c\u002Fc > 'temp_cache'` | ~70% |\n\n## Quick Start\n\n### Parse a Command\n```bash\n.\u002Fscripts\u002Fmlscp.sh parse \"F+ s\u002Fco > ln47 + 'retry logic'\"\n```\n\n### Validate Syntax\n```bash\n.\u002Fscripts\u002Fmlscp.sh validate \"F+ s\u002Fco > ln47 + 'retry logic'\"\n```\n\n### Generate Vocabulary\n```bash\n.\u002Fscripts\u002Fmlscp.sh vocab \u002Fpath\u002Fto\u002Fproject\n```\n\n### Compress Natural Language\n```bash\n.\u002Fscripts\u002Fmlscp.sh compress \"Add error handling to the main function in app.py\"\n```\n\n## Command Reference\n\n### Operations\n| Code | Meaning | Example |\n|------|---------|---------|\n| `F+` | File add\u002Finsert | `F+ s\u002Fapp > ln10 + 'new code'` |\n| `F~` | File modify | `F~ s\u002Fapp > ln10-20 ~ 'updated code'` |\n| `F-` | File delete | `F- s\u002Fapp > ln10-15` |\n| `F?` | File query\u002Fread | `F? s\u002Fapp > ln1-100` |\n| `V+` | Variable add | `V+ s\u002Fapp + 'new_var = 42'` |\n| `V~` | Variable modify | `V~ s\u002Fapp > 'old_var' ~ 'new_value'` |\n| `V-` | Variable delete | `V- s\u002Fapp > 'temp_var'` |\n| `V?` | Variable query | `V? s\u002Fapp > 'config_*'` |\n\n### Location Specifiers\n- `ln47` - Single line\n- `ln10-50` - Line range\n- `fn:main` - Function name\n- `cls:MyClass` - Class name\n\n### Context Blocks\n```\nCTX{\"intent\":\"resilience\",\"priority\":\"high\",\"confidence\":0.9}\n```\n\n## Scripts\n\n- `mlscp.sh` - Main CLI tool\n- `vocab.py` - Vocabulary generator (Python)\n\n## Integration\n\n### With Other Agents\nWhen receiving commands from MLSCP-enabled agents:\n```bash\n.\u002Fscripts\u002Fmlscp.sh parse \"$INCOMING_COMMAND\"\n```\n\n### Sending Commands\nGenerate compact commands for other agents:\n```bash\n.\u002Fscripts\u002Fmlscp.sh compress \"Your natural language instruction\"\n```\n\n## API (Python)\n\n```python\nfrom mlscp import parse, MLSCPParser\n\n# Quick parse\ncmd = parse(\"F+ s\u002Fco > ln47 + 'retry logic'\")\nprint(cmd.operation)  # OperationType.FILE_ADD\nprint(cmd.target)     # \"s\u002Fco\"\n\n# With vocabulary\nparser = MLSCPParser(vocab_lookup)\ncmd = parser.parse(\"F+ s\u002Fco > ln47 + 'code'\")\nfull_path = vocab_lookup.get(\"s\u002Fco\")  # \"src\u002Fchain_orchestrator.py\"\n```\n\n## Resources\n\n- GitHub: https:\u002F\u002Fgithub.com\u002Fsirkrouph-dev\u002Fmlcp\n- Grammar Spec: See `references\u002Fgrammar.abnf`\n- Protocol Definition: See `references\u002Fprotocol.md`\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fsirkrouph-dev\u002Fmlscp",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":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add kbarbel640-del\u002Fskills --skill mlscp",{"tool":51,"command":52},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill mlscp",{"tool":54,"command":55},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill mlscp","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fsirkrouph-dev\u002Fmlscp\u002FSKILL.md",true,[59],{"path":60,"resourceType":61,"resourceTypeDesc":62,"sizeBytes":63,"sourceHtmlUrl":64},"_meta.json","REFERENCE","参考文档",269,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fsirkrouph-dev\u002Fmlscp\u002F_meta.json",[66,95,123,144,150,170],{"skillNo":67,"name":68,"nameZh":6,"description":69,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":70,"categories":71,"keywords":77,"publishedAt":33},"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",[72],{"categoryNo":73,"categoryName":74,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[78,79,80,31,81,82,83,84,85,24,86,87,88,89,90,91,92,93,94],"crowd prompting","prompting","api","tokens","domain","world","prompts","operations","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":106,"publishedAt":33},"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",[101],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[107,80,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,84,25],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":124,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":127,"categories":128,"keywords":132,"publishedAt":33},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[129],{"categoryNo":130,"categoryName":131,"taxonomyType":104,"taxonomyTypeDesc":105},"01JBSEEDCAT000000000000021","资料检索与研究",[133,134,135,136,137,138,139,31,140,121,25,141,80,142,143],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":145,"name":125,"nameZh":6,"description":126,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":149,"publishedAt":33},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[148],{"categoryNo":130,"categoryName":131,"taxonomyType":104,"taxonomyTypeDesc":105},[136,135,134,133,143,138,139,31,137,121,25,140,141,80,142],{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":33},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[157,158,159,160,161,162,163,164,165,166,167,168,169],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":171,"name":172,"nameZh":6,"description":173,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":174,"categories":175,"keywords":180,"publishedAt":33},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[176,177],{"categoryNo":102,"categoryName":103,"taxonomyType":104,"taxonomyTypeDesc":105},{"categoryNo":178,"categoryName":179,"taxonomyType":75,"taxonomyTypeDesc":76},"01JBSEEDCAT000000000000037","律师与法务",[181,182,183,184,31,185,186,38,187,141,188,189,190,191,192,92,193,194,195],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]