[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DCX1DGB7CDH88WB0Y25E2C":3,"skill-same:01M6DCX1DGB7CDH88WB0Y25E2C":55},{"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":18,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":14,"repositoryHtmlUrl":38,"repositoryHomepageUrl":6,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":40,"install":41,"resources":54},"01M6DCX1DGB7CDH88WB0Y25E2C","regex-vs-llm-structured-text",null,"Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.","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\u002Fregex-vs-llm-structured-text\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28],"text","structured","regex","regex vs llm structured text","framework","edge","start","parsing","decision","only","2026-11-10 10:12:30",false,"---\nname: regex-vs-llm-structured-text\ndescription: Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.\norigin: ECC\n---\n\n# Regex vs LLM for Structured Text Parsing\n\nA practical decision framework for parsing structured text (quizzes, forms, invoices, documents). The key insight: regex handles 95-98% of cases cheaply and deterministically. Reserve expensive LLM calls for the remaining edge cases.\n\n## When to Activate\n\n- Parsing structured text with repeating patterns (questions, forms, tables)\n- Deciding between regex and LLM for text extraction\n- Building hybrid pipelines that combine both approaches\n- Optimizing cost\u002Faccuracy tradeoffs in text processing\n\n## Decision Framework\n\n```\nIs the text format consistent and repeating?\n├── Yes (>90% follows a pattern) → Start with Regex\n│   ├── Regex handles 95%+ → Done, no LLM needed\n│   └── Regex handles \u003C95% → Add LLM for edge cases only\n└── No (free-form, highly variable) → Use LLM directly\n```\n\n## Architecture Pattern\n\n```\nSource Text\n    │\n    ▼\n[Regex Parser] ─── Extracts structure (95-98% accuracy)\n    │\n    ▼\n[Text Cleaner] ─── Removes noise (markers, page numbers, artifacts)\n    │\n    ▼\n[Confidence Scorer] ─── Flags low-confidence extractions\n    │\n    ├── High confidence (≥0.95) → Direct output\n    │\n    └── Low confidence (\u003C0.95) → [LLM Validator] → Output\n```\n\n## Implementation\n\n### 1. Regex Parser (Handles the Majority)\n\n```python\nimport re\nfrom dataclasses import dataclass\n\n@dataclass(frozen=True)\nclass ParsedItem:\n    id: str\n    text: str\n    choices: tuple[str, ...]\n    answer: str\n    confidence: float = 1.0\n\ndef parse_structured_text(content: str) -> list[ParsedItem]:\n\n### 2. Confidence Scoring\n### 3. LLM Validator (Edge Cases Only)\n### 4. Hybrid Pipeline\n### Real-World Metrics\n### Best Practices\n### Anti-Patterns to Avoid\n### When to Use\n","# Regex vs LLM for Structured Text Parsing\n\nA practical decision framework for parsing structured text (quizzes, forms, invoices, documents). The key insight: regex handles 95-98% of cases cheaply and deterministically. Reserve expensive LLM calls for the remaining edge cases.\n\n## When to Activate\n\n- Parsing structured text with repeating patterns (questions, forms, tables)\n- Deciding between regex and LLM for text extraction\n- Building hybrid pipelines that combine both approaches\n- Optimizing cost\u002Faccuracy tradeoffs in text processing\n\n## Decision Framework\n\n```\nIs the text format consistent and repeating?\n├── Yes (>90% follows a pattern) → Start with Regex\n│   ├── Regex handles 95%+ → Done, no LLM needed\n│   └── Regex handles \u003C95% → Add LLM for edge cases only\n└── No (free-form, highly variable) → Use LLM directly\n```\n\n## Architecture Pattern\n\n```\nSource Text\n    │\n    ▼\n[Regex Parser] ─── Extracts structure (95-98% accuracy)\n    │\n    ▼\n[Text Cleaner] ─── Removes noise (markers, page numbers, artifacts)\n    │\n    ▼\n[Confidence Scorer] ─── Flags low-confidence extractions\n    │\n    ├── High confidence (≥0.95) → Direct output\n    │\n    └── Low confidence (\u003C0.95) → [LLM Validator] → Output\n```\n\n## Implementation\n\n### 1. Regex Parser (Handles the Majority)\n\n```python\nimport re\nfrom dataclasses import dataclass\n\n@dataclass(frozen=True)\nclass ParsedItem:\n    id: str\n    text: str\n    choices: tuple[str, ...]\n    answer: str\n    confidence: float = 1.0\n\ndef parse_structured_text(content: str) -> list[ParsedItem]:\n\n### 2. Confidence Scoring\n### 3. LLM Validator (Edge Cases Only)\n### 4. Hybrid Pipeline\n### Real-World Metrics\n### Best Practices\n### Anti-Patterns to Avoid\n### When to Use\n",{"name":5,"origin":34,"description":7},"ECC","main","a298c929b6cbd662e1fce54302ce520d5ceea1a5","platform\u002Frouting\u002Ffixtures\u002Fhome\u002F.agents\u002Fskills\u002Fregex-vs-llm-structured-text","https:\u002F\u002Fgithub.com\u002FPrekzursil\u002Fagent-skills-toolchain","https:\u002F\u002Fgithub.com\u002FPrekzursil","2026-11-02 14:30:57",{"source":8,"skillName":5,"commands":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add Prekzursil\u002Fagent-skills-toolchain --skill regex-vs-llm-structured-text",{"tool":47,"command":48},"bunx","bunx skills add Prekzursil\u002Fagent-skills-toolchain --skill regex-vs-llm-structured-text",{"tool":50,"command":51},"pnpm","pnpm dlx skills add Prekzursil\u002Fagent-skills-toolchain --skill regex-vs-llm-structured-text","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\u002Fregex-vs-llm-structured-text\u002FSKILL.md",true,[],[56,78,108,135,149,164],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":62,"publishedAt":29},"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",[],[63,64,65,66,67,68,69,70,71,72,73,74,75,76,77],"clarify requirements","clarify","requirements","risk","options","task","prompts","goal","scanning","use","context","repo","injection","execution","file",{"skillNo":79,"name":80,"nameZh":6,"description":81,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":82,"categories":83,"keywords":89,"publishedAt":29},"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",[84],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[90,91,27,92,93,94,95,96,97,98,99,100,101,102,72,103,104,105,106,107],"openmm md","how","pick","linux","analyze","tool","stack","open","NVIDIA","gpu","license","workflow","windows","free","molecular dynamics","local","do","MCP",{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":112,"categories":113,"keywords":120,"publishedAt":29},"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",[114,117],{"categoryNo":115,"categoryName":116,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000003","演示文稿",{"categoryNo":118,"categoryName":119,"taxonomyType":87,"taxonomyTypeDesc":88},"01JBSEEDCAT000000000000008","测试与质量",[121,122,123,124,125,126,127,128,129,130,91,131,132,133,134],"review","visual","visual review","pages","web","false","iteration","take","check","slides","ui","screenshot","playwright","screenshots",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":139,"categories":140,"keywords":141,"publishedAt":29},"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",[],[137,142,143,144,145,146,147,148],"setup","report","project","installation","project setup","issues","state",{"skillNo":150,"name":25,"nameZh":6,"description":151,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":155,"publishedAt":29},"01M6DF6X6C2XB0P6GX76P7TTYV","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",[154],{"categoryNo":85,"categoryName":86,"taxonomyType":87,"taxonomyTypeDesc":88},[25,156,68,157,158,159,72,160,161,162,163],"start issue","issue","ready","work on issue","user","work","work on","development",{"skillNo":165,"name":142,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":169,"publishedAt":29},"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",[],[142,144,105,170,146,171],"files","interactive"]