[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCNT0M5XCPW87X0DPJSFER":3,"skill-same:01M6DCNT0M5XCPW87X0DPJSFER":103},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":28,"publishedAt":48,"linkOnly":49,"markdownContent":50,"markdownBody":51,"frontMatter":52,"refName":65,"commitSha":66,"skillDirectory":67,"forksCount":14,"repositoryHtmlUrl":68,"repositoryHomepageUrl":6,"ownerHtmlUrl":69,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":70,"install":71,"resources":84},"01M6DCNT0M5XCPW87X0DPJSFER","humanizer",null,"Use when editing or reviewing text to remove AI-writing patterns (em dashes, filler phrases, passive voice, inflated symbolism) and make it sound more natural and human-written ; do NOT use for full 5-pass rewrite workflows or voice-matching (use agentic-humanizer) ; returns edited text with AI patterns removed.","Prekzursil\u002Fagent-skills-toolchain","Prekzursil","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F54636077?v=4","01M6DACZ1PCQHD99SCR1YXG28B","Andrei Mihai Visalon","01M6DACZ670WZF535V3WYYSS4Z",0,"MIT","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fhumanizer\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[5,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"editing","matching","human","do","opencode","use","remove","edit","write","read","writing","grep","text","voice","https","code","workflows","agentic","github","2026-11-10 10:12:30",false,"---\nname: humanizer\ndescription: Use when editing or reviewing text to remove AI-writing patterns (em dashes, filler phrases, passive voice, inflated symbolism) and make it sound more natural and human-written ; do NOT use for full 5-pass rewrite workflows or voice-matching (use agentic-humanizer) ; returns edited text with AI patterns removed.\nlicense: MIT\nallowed-tools:\n- Read\n- Write\n- Edit\n- Grep\n- Glob\n- AskUserQuestion\nmetadata:\n  version: 2.7.0\n  compatibility: claude-code opencode\n  source: https:\u002F\u002Fgithub.com\u002Fblader\u002Fhumanizer\n  upstream_author: blader\n---\n\n# Humanizer: Remove AI Writing Patterns\n\nYou are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's \"Signs of AI writing\" page, maintained by WikiProject AI Cleanup.\n\n## Your Task\n\nWhen given text to humanize:\n\n1. **Identify AI patterns** - Scan for the patterns listed below.\n2. **Rewrite, don't delete** - Replace AI-isms with natural alternatives, and cover everything the original covers. If the original has five paragraphs, the rewrite has five paragraphs.\n3. **Preserve meaning** - Keep the core message intact.\n4. **Match the voice** - Fit the intended tone (formal, casual, technical). Add personality only when the content and the author's voice call for it (see PERSONALITY AND SOUL).\n\nThe draft → audit → final loop and the deliverable are defined under Process and Output, below.\n\n\n## Voice Calibration (Optional)\n\nIf the user provides a writing sample (their own previous writing), analyze it before rewriting:\n\n1. **Read the sample first.** Note:\n   - Sentence length patterns (short and punchy? Long and flowing? Mixed?)\n   - Word choice level (casual? academic? somewhere between?)\n   - How they start paragraphs (jump right in? Set context first?)\n   - Punctuation habits (lots of dashes? Parenthetical asides? Semicolons?)\n   - Any recurring phrases or verbal tics\n   - How they handle transitions (explicit connectors? Just start the next point?)\n\n2. **Match their voice in the rewrite.** Don't just remove AI patterns - replace them with patterns from the sample. If they write short sentences, don't produce long ones. If they use \"stuff\" and \"things,\" don't upgrade to \"elements\" and \"components.\"\n\n### How to provide a sample\n### PERSONALITY AND SOUL\n### Signs of soulless writing (even if technically \"clean\"):\n### How to add voice:\n### Before (clean but soulless):\n### After (has a pulse):\n### CONTENT PATTERNS\n### 1. Undue Emphasis on Significance, Legacy, and Broader Trends\n### 2. Undue Emphasis on Notability and Media Coverage\n### 3. Superficial Analyses with -ing Endings\n### 4. Promotional and Advertisement-like Language\n","# Humanizer: Remove AI Writing Patterns\n\nYou are a writing editor that identifies and removes signs of AI-generated text to make writing sound more natural and human. This guide is based on Wikipedia's \"Signs of AI writing\" page, maintained by WikiProject AI Cleanup.\n\n## Your Task\n\nWhen given text to humanize:\n\n1. **Identify AI patterns** - Scan for the patterns listed below.\n2. **Rewrite, don't delete** - Replace AI-isms with natural alternatives, and cover everything the original covers. If the original has five paragraphs, the rewrite has five paragraphs.\n3. **Preserve meaning** - Keep the core message intact.\n4. **Match the voice** - Fit the intended tone (formal, casual, technical). Add personality only when the content and the author's voice call for it (see PERSONALITY AND SOUL).\n\nThe draft → audit → final loop and the deliverable are defined under Process and Output, below.\n\n\n## Voice Calibration (Optional)\n\nIf the user provides a writing sample (their own previous writing), analyze it before rewriting:\n\n1. **Read the sample first.** Note:\n   - Sentence length patterns (short and punchy? Long and flowing? Mixed?)\n   - Word choice level (casual? academic? somewhere between?)\n   - How they start paragraphs (jump right in? Set context first?)\n   - Punctuation habits (lots of dashes? Parenthetical asides? Semicolons?)\n   - Any recurring phrases or verbal tics\n   - How they handle transitions (explicit connectors? Just start the next point?)\n\n2. **Match their voice in the rewrite.** Don't just remove AI patterns - replace them with patterns from the sample. If they write short sentences, don't produce long ones. If they use \"stuff\" and \"things,\" don't upgrade to \"elements\" and \"components.\"\n\n### How to provide a sample\n### PERSONALITY AND SOUL\n### Signs of soulless writing (even if technically \"clean\"):\n### How to add voice:\n### Before (clean but soulless):\n### After (has a pulse):\n### CONTENT PATTERNS\n### 1. Undue Emphasis on Significance, Legacy, and Broader Trends\n### 2. Undue Emphasis on Notability and Media Coverage\n### 3. Superficial Analyses with -ing Endings\n### 4. Promotional and Advertisement-like Language\n",{"name":5,"license":15,"metadata":53,"description":7,"allowed-tools":58},{"source":54,"version":55,"compatibility":56,"upstream_author":57},"https:\u002F\u002Fgithub.com\u002Fblader\u002Fhumanizer","2.7.0","claude-code opencode","blader",[59,60,61,62,63,64],"Read","Write","Edit","Grep","Glob","AskUserQuestion","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fhumanizer","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":72,"prompt":82,"zipAvailable":83},[73,76,79],{"tool":74,"command":75},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill humanizer",{"tool":77,"command":78},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill humanizer",{"tool":80,"command":81},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill humanizer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Fplatform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fhumanizer\u002FSKILL.md",true,[85,91,95,99],{"path":86,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":89,"sourceHtmlUrl":90},"_meta.json","REFERENCE","参考文档",132,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fopencli-skill\u002F_meta.json",{"path":92,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":93,"sourceHtmlUrl":94},".clawhub\u002Forigin.json",145,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fopencli-skill\u002F.clawhub\u002Forigin.json",{"path":96,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":97,"sourceHtmlUrl":98},"README.md",12590,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fopencli-skill\u002FREADME.md",{"path":100,"resourceType":87,"resourceTypeDesc":88,"sizeBytes":101,"sourceHtmlUrl":102},"references\u002Fcommands.md",6582,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fopencli-skill\u002Freferences\u002Fcommands.md",[104,125,153,180,194,210],{"skillNo":105,"name":106,"nameZh":6,"description":107,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":108,"categories":109,"keywords":110,"publishedAt":48},"01M6DF7D7478R55P46REYH4QAC","clarify-requirements","Resolve genuine pre-execution ambiguity by scanning repo context, generating 1-6 grounded options, and asking 1-3 focused questions via AskUserQuestion. NOT for mid-task use (injection risk); NOT when the goal is already unambiguous; use to disambiguate vague prompts before any file edits.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fworkspace-hooks\u002Fskills\u002Fclarify-requirements\u002FSKILL.md",[],[111,112,113,114,115,116,117,118,119,34,120,121,122,123,124],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","context","repo","injection","execution","file",{"skillNo":126,"name":127,"nameZh":6,"description":128,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":134,"publishedAt":48},"01M6DF79CA4BHJS66J8EZDBPWJ","openmm-md","Run FREE, open-source, Windows-native GPU molecular dynamics via the openmm-md MCP (OpenMM + CUDA on the local NVIDIA GPU). Use for protein \u002F protein-ligand MD when you want a free stack or are on Windows without a Schrodinger license. Covers the full workflow (prepare, solvate, minimize, equilibrate, production, analyze, mmgbsa) AND an honest decision guide vs Schrodinger Desmond, including how to run Desmond legitimately on Linux or a cloud GPU with a real license. This is a deliberately LESSER free alternative and does NOT replace the schrodinger MCP tools. Do NOT use it to pick a free tool when a validated FEP+, WaterMap, IFD-MD, or Prime MM-GBSA result is actually required.","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Fmcp\u002Fopenmm-md-mcp\u002Fskill\u002Fopenmm-md\u002FSKILL.md",[131],{"categoryNo":132,"categoryName":133,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[135,136,137,138,139,140,141,142,143,144,145,146,147,148,34,149,150,151,32,152],"openmm md","how","decision","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","MCP",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":165,"publishedAt":48},"01M6DF76C1MG85VEWP8VZCBNMN","visual-review","Take screenshots of web pages and UI using Playwright for visual review and iteration","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fvisual-review\u002FSKILL.md",[159,162],{"categoryNo":160,"categoryName":161,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":163,"categoryName":164,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000008","测试与质量",[166,167,168,169,170,171,172,173,174,175,136,176,177,178,179],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":181,"name":182,"nameZh":6,"description":183,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":184,"categories":185,"keywords":186,"publishedAt":48},"01M6DF73AQVCBZKEN0YXEX9FXP","status","Diagnostic status report — shows metaswarm installation state, project setup, and potential issues","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstatus\u002FSKILL.md",[],[182,187,188,189,190,191,192,193],"setup","report","project","installation","project setup","issues","state",{"skillNo":195,"name":196,"nameZh":6,"description":197,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":198,"categories":199,"keywords":201,"publishedAt":48},"01M6DF6X6C2XB0P6GX76P7TTYV","start","Use when starting work on any task, when the user mentions metaswarm, or when the user wants to begin tracked development work","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fstart\u002FSKILL.md",[200],{"categoryNo":132,"categoryName":133,"taxonomyType":21,"taxonomyTypeDesc":22},[196,202,116,203,204,205,34,206,207,208,209],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":211,"name":187,"nameZh":6,"description":212,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":213,"categories":214,"keywords":215,"publishedAt":48},"01M6DF6QMJ9AJKFKHHKRT005PQ","Interactive project setup — detects your project, configures metaswarm, writes project-local files","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain\u002Fblob\u002Fmain\u002Ftools\u002Feditor\u002Fmetaswarm\u002Fskills\u002Fsetup\u002FSKILL.md",[],[187,189,151,216,191,217],"files","interactive"]