[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6K42463PVSZY8B8PV7KWABM":3,"skill-same:01M6K42463PVSZY8B8PV7KWABM":80},{"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":29,"publishedAt":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":14,"repositoryHtmlUrl":62,"repositoryHomepageUrl":6,"ownerHtmlUrl":63,"ownerBlogUrl":6,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M6K42463PVSZY8B8PV7KWABM","discover-research",null,"Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design. Activates for research tasks.","Patkik\u002FMulti-tenant-SaaS-Catering-V2","Patkik","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F250017341?v=4","01M6J75RKG7PA5QGZFKPR3VZ3M","DracoNox","01M6K3FMYNCG98GDTETTZ9FZQZ",0,"MIT","https:\u002F\u002Fgithub.com\u002FPatkik\u002FMulti-tenant-SaaS-Catering-V2\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fdiscover-research\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",[30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"discover research","research","discover","Synthesis","systematic review","for","with","literature","systematic","experimental design","evidence synthesis","design","research methodology","evidence","format","literature review","methodology","code","tasks","review","2026-11-10 10:12:30",false,"---\nname: discover-research\ndescription: Automatically discover research methodology skills when working with research methodology, literature review, systematic review, evidence synthesis, academic research, or experimental design. Activates for research tasks.\nlicense: MIT\nmetadata:\n  author: rand\n  version: \"4.0\"\ncompatibility: Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.\n---\n\n# Research Skills Discovery\n\n## Auto-Activation\n\nThis skill is automatically activated when your task involves:\n- Research synthesis, literature reviews, meta-analysis\n- Quantitative research, statistical analysis, surveys, experiments\n- Qualitative research, interviews, ethnography, case studies\n- Study design, hypothesis testing, sampling strategies\n- Data collection, survey design, interview protocols\n- Data analysis, coding, statistical tests, visualization\n- Research writing, academic papers, citations, reporting\n\n## Available Research Skills\n\n### Core Methodology Skills\n\n**1. research-synthesis** - Synthesizing information and conducting meta-analysis\n- Narrative synthesis approaches\n- Meta-analysis with Python implementation\n- Thematic synthesis of qualitative findings\n- Evidence mapping and gap analysis\n- GRADE framework for quality assessment\n- Use when: Integrating findings across studies\n\n**2. quantitative-methods** - Quantitative research and statistical analysis\n- Experimental design with power analysis\n- Survey methods and analysis\n- Hypothesis testing framework\n- Regression analysis with diagnostics\n- Effect sizes and reporting\n- Use when: Testing hypotheses with numerical data\n\n**3. qualitative-methods** - Qualitative research approaches\n- In-depth interview protocols\n- Thematic analysis (6 phases)\n- Grounded theory coding\n- Case study research design\n- Quality criteria and rigor\n- Use when: Exploring experiences and meanings\n\n**4. research-design** - Planning and designing research studies\n- Research question formulation (FINER criteria)\n- Validity threat analysis\n- Sampling strategies with Python tools\n- Experimental control frameworks\n- Design quality assessment\n- Use when: Planning a new study from scratch\n\n### Implementation Skills\n\n**5. data-collection** - Methods for gathering research data\n- Survey instrument design and validation\n- Interview protocol development\n- Observation methods and field notes\n- Data quality control frameworks\n- Response rate optimization\n- Use when: Implementing data collection\n\n**6. data-analysis** - Analyzing quantitative and qualitative data\n- Comprehensive descriptive statistics\n- Inferential testing with full reporting\n- Systematic qualitative coding\n- Thematic development process\n- Publication-ready visualizations\n- Use when: Making sense of collected data\n\n**7. research-writing** - Writing research papers and reports\n- IMRAD structure with guidelines\n- APA statistical reporting\n- Citation management\n- Argument construction\n- Peer review response strategies\n- Use when: Communicating research findings\n\n## Loading Skills\n\n### Load Individual Skills\n\n# From skills directory\nRead ..\u002Fresearch\u002Fresearch-synthesis.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\nRead ..\u002Fresearch\u002Fqualitative-methods.md\nRead ..\u002Fresearch\u002Fresearch-design.md\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n### Common Workflow Combinations\n\n**Quantitative Research Study**:\n\n# Planning phase\nRead ..\u002Fresearch\u002Fresearch-design.md\n\n# Data collection\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n# Analysis and reporting\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n**Qualitative Research Study**:\n\n# Planning phase\nRead ..\u002Fresearch\u002Fresearch-design.md\n\n# Data collection\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fqualitative-methods.md\n\n# Analysis and reporting\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n**Literature Review \u002F Meta-Analysis**:\n\n# Synthesis phase\nRead ..\u002Fresearch\u002Fresearch-synthesis.md\n\n# If including quantitative synthesis\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n# Writing phase\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n**Mixed Methods Study**:\n# All methods\nRead ..\u002Fresearch\u002Fresearch-design.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\nRead ..\u002Fresearch\u002Fqualitative-methods.md\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n## Progressive Loading\n\nLoad skills progressively based on research phase:\n\n**Phase 1: Planning** (Load 1-2 skills)\n- research-design (always)\n- quantitative-methods OR qualitative-methods (based on approach)\n\n**Phase 2: Collection** (Add 1-2 skills)\n- data-collection (always)\n- Keep loaded: specific method skill\n\n**Phase 3: Analysis** (Add 1 skill)\n- data-analysis (always)\n- Keep loaded: method and collection skills for reference\n\n**Phase 4: Writing** (Add 1 skill, can unload others)\n- research-writing (always)\n- research-synthesis (if synthesizing literature)\n- Keep one method skill for reporting details\n\n**Phase 5: Synthesis** (If conducting review)\n- research-synthesis (load early)\n- quantitative-methods (if meta-analysis)\n- qualitative-methods (if thematic synthesis)\n\n## Decision Tree\n\n```\nResearch Task\n    ↓\nConducting new study?\n    YES → Load research-design\n        ↓\n        Quantitative approach?\n            YES → Load quantitative-methods + data-collection\n        Qualitative approach?\n            YES → Load qualitative-methods + data-collection\n        Mixed methods?\n            YES → Load both methods + data-collection\n        ↓\n        Ready to analyze?\n            YES → Load data-analysis\n        ↓\n        Ready to write?\n            YES → Load research-writing\n\n    NO → Synthesizing existing research?\n        YES → Load research-synthesis\n            ↓\n            Quantitative synthesis (meta-analysis)?\n                YES → Also load quantitative-methods\n            Qualitative synthesis?\n                YES → Also load qualitative-methods\n            ↓\n            Ready to write?\n                YES → Load research-writing\n```\n\n## Context-Aware Loading\n\nBased on keywords in your task, these skills auto-load:\n\n**Keywords → Skills Mapping**:\n- \"literature review\", \"meta-analysis\", \"systematic review\" → research-synthesis\n- \"survey\", \"experiment\", \"hypothesis\", \"statistical\" → quantitative-methods\n- \"interview\", \"ethnography\", \"case study\", \"lived experience\" → qualitative-methods\n- \"study design\", \"sampling\", \"validity\", \"research plan\" → research-design\n- \"questionnaire\", \"data collection\", \"measurement\" → data-collection\n- \"analyze data\", \"coding\", \"statistical test\", \"thematic\" → data-analysis\n- \"write paper\", \"manuscript\", \"citation\", \"peer review\" → research-writing\n\n## Related Skill Categories\n\n- **statistics**: Advanced statistical techniques\n- **data-science**: Machine learning and big data approaches\n- **visualization**: Advanced data visualization\n- **academic-writing**: General academic writing skills\n- **scientific-computing**: Python\u002FR for research computing\n\n## Quick Start Examples\n\n### \"I need to design a survey study\"\nRead ..\u002Fresearch\u002Fresearch-design.md\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n\n### \"I need to analyze interview transcripts\"\nRead ..\u002Fresearch\u002Fqualitative-methods.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\n\n\n### \"I need to conduct a meta-analysis\"\nRead ..\u002Fresearch\u002Fresearch-synthesis.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n\n### \"I need to write up my results\"\nRead ..\u002Fresearch\u002Fresearch-writing.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\n\n\n## Best Practices\n\n1. **Start with design**: Load research-design first when planning new studies\n2. **Method-specific loading**: Load only the method skill you need (quant OR qual)\n3. **Progressive addition**: Add skills as you progress through research phases\n4. **Unload when done**: Unload skills from completed phases to manage context\n5. **Keep writing loaded**: research-writing useful throughout for documentation\n\n## Skill Maintenance\n\nAll research skills follow these standards:\n- Practical code examples (Python primary, R when appropriate)\n- Real-world templates and protocols\n- Best practices and anti-patterns\n- Cross-references to related skills\n- 250-400 lines optimized for context efficiency\n\n## Integration with Other Skills\n\nResearch skills integrate well with:\n- **python-data-science**: For advanced analysis\n- **python-visualization**: For publication graphics\n- **academic-latex**: For paper formatting\n- **git-workflow**: For research project management\n- **reproducibility**: For reproducible research practices\n","# Research Skills Discovery\n\n## Auto-Activation\n\nThis skill is automatically activated when your task involves:\n- Research synthesis, literature reviews, meta-analysis\n- Quantitative research, statistical analysis, surveys, experiments\n- Qualitative research, interviews, ethnography, case studies\n- Study design, hypothesis testing, sampling strategies\n- Data collection, survey design, interview protocols\n- Data analysis, coding, statistical tests, visualization\n- Research writing, academic papers, citations, reporting\n\n## Available Research Skills\n\n### Core Methodology Skills\n\n**1. research-synthesis** - Synthesizing information and conducting meta-analysis\n- Narrative synthesis approaches\n- Meta-analysis with Python implementation\n- Thematic synthesis of qualitative findings\n- Evidence mapping and gap analysis\n- GRADE framework for quality assessment\n- Use when: Integrating findings across studies\n\n**2. quantitative-methods** - Quantitative research and statistical analysis\n- Experimental design with power analysis\n- Survey methods and analysis\n- Hypothesis testing framework\n- Regression analysis with diagnostics\n- Effect sizes and reporting\n- Use when: Testing hypotheses with numerical data\n\n**3. qualitative-methods** - Qualitative research approaches\n- In-depth interview protocols\n- Thematic analysis (6 phases)\n- Grounded theory coding\n- Case study research design\n- Quality criteria and rigor\n- Use when: Exploring experiences and meanings\n\n**4. research-design** - Planning and designing research studies\n- Research question formulation (FINER criteria)\n- Validity threat analysis\n- Sampling strategies with Python tools\n- Experimental control frameworks\n- Design quality assessment\n- Use when: Planning a new study from scratch\n\n### Implementation Skills\n\n**5. data-collection** - Methods for gathering research data\n- Survey instrument design and validation\n- Interview protocol development\n- Observation methods and field notes\n- Data quality control frameworks\n- Response rate optimization\n- Use when: Implementing data collection\n\n**6. data-analysis** - Analyzing quantitative and qualitative data\n- Comprehensive descriptive statistics\n- Inferential testing with full reporting\n- Systematic qualitative coding\n- Thematic development process\n- Publication-ready visualizations\n- Use when: Making sense of collected data\n\n**7. research-writing** - Writing research papers and reports\n- IMRAD structure with guidelines\n- APA statistical reporting\n- Citation management\n- Argument construction\n- Peer review response strategies\n- Use when: Communicating research findings\n\n## Loading Skills\n\n### Load Individual Skills\n\n# From skills directory\nRead ..\u002Fresearch\u002Fresearch-synthesis.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\nRead ..\u002Fresearch\u002Fqualitative-methods.md\nRead ..\u002Fresearch\u002Fresearch-design.md\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n### Common Workflow Combinations\n\n**Quantitative Research Study**:\n\n# Planning phase\nRead ..\u002Fresearch\u002Fresearch-design.md\n\n# Data collection\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n# Analysis and reporting\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n**Qualitative Research Study**:\n\n# Planning phase\nRead ..\u002Fresearch\u002Fresearch-design.md\n\n# Data collection\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fqualitative-methods.md\n\n# Analysis and reporting\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n**Literature Review \u002F Meta-Analysis**:\n\n# Synthesis phase\nRead ..\u002Fresearch\u002Fresearch-synthesis.md\n\n# If including quantitative synthesis\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n# Writing phase\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n**Mixed Methods Study**:\n# All methods\nRead ..\u002Fresearch\u002Fresearch-design.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\nRead ..\u002Fresearch\u002Fqualitative-methods.md\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\nRead ..\u002Fresearch\u002Fresearch-writing.md\n\n\n## Progressive Loading\n\nLoad skills progressively based on research phase:\n\n**Phase 1: Planning** (Load 1-2 skills)\n- research-design (always)\n- quantitative-methods OR qualitative-methods (based on approach)\n\n**Phase 2: Collection** (Add 1-2 skills)\n- data-collection (always)\n- Keep loaded: specific method skill\n\n**Phase 3: Analysis** (Add 1 skill)\n- data-analysis (always)\n- Keep loaded: method and collection skills for reference\n\n**Phase 4: Writing** (Add 1 skill, can unload others)\n- research-writing (always)\n- research-synthesis (if synthesizing literature)\n- Keep one method skill for reporting details\n\n**Phase 5: Synthesis** (If conducting review)\n- research-synthesis (load early)\n- quantitative-methods (if meta-analysis)\n- qualitative-methods (if thematic synthesis)\n\n## Decision Tree\n\n```\nResearch Task\n    ↓\nConducting new study?\n    YES → Load research-design\n        ↓\n        Quantitative approach?\n            YES → Load quantitative-methods + data-collection\n        Qualitative approach?\n            YES → Load qualitative-methods + data-collection\n        Mixed methods?\n            YES → Load both methods + data-collection\n        ↓\n        Ready to analyze?\n            YES → Load data-analysis\n        ↓\n        Ready to write?\n            YES → Load research-writing\n\n    NO → Synthesizing existing research?\n        YES → Load research-synthesis\n            ↓\n            Quantitative synthesis (meta-analysis)?\n                YES → Also load quantitative-methods\n            Qualitative synthesis?\n                YES → Also load qualitative-methods\n            ↓\n            Ready to write?\n                YES → Load research-writing\n```\n\n## Context-Aware Loading\n\nBased on keywords in your task, these skills auto-load:\n\n**Keywords → Skills Mapping**:\n- \"literature review\", \"meta-analysis\", \"systematic review\" → research-synthesis\n- \"survey\", \"experiment\", \"hypothesis\", \"statistical\" → quantitative-methods\n- \"interview\", \"ethnography\", \"case study\", \"lived experience\" → qualitative-methods\n- \"study design\", \"sampling\", \"validity\", \"research plan\" → research-design\n- \"questionnaire\", \"data collection\", \"measurement\" → data-collection\n- \"analyze data\", \"coding\", \"statistical test\", \"thematic\" → data-analysis\n- \"write paper\", \"manuscript\", \"citation\", \"peer review\" → research-writing\n\n## Related Skill Categories\n\n- **statistics**: Advanced statistical techniques\n- **data-science**: Machine learning and big data approaches\n- **visualization**: Advanced data visualization\n- **academic-writing**: General academic writing skills\n- **scientific-computing**: Python\u002FR for research computing\n\n## Quick Start Examples\n\n### \"I need to design a survey study\"\nRead ..\u002Fresearch\u002Fresearch-design.md\nRead ..\u002Fresearch\u002Fdata-collection.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n\n### \"I need to analyze interview transcripts\"\nRead ..\u002Fresearch\u002Fqualitative-methods.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\n\n\n### \"I need to conduct a meta-analysis\"\nRead ..\u002Fresearch\u002Fresearch-synthesis.md\nRead ..\u002Fresearch\u002Fquantitative-methods.md\n\n\n### \"I need to write up my results\"\nRead ..\u002Fresearch\u002Fresearch-writing.md\nRead ..\u002Fresearch\u002Fdata-analysis.md\n\n\n## Best Practices\n\n1. **Start with design**: Load research-design first when planning new studies\n2. **Method-specific loading**: Load only the method skill you need (quant OR qual)\n3. **Progressive addition**: Add skills as you progress through research phases\n4. **Unload when done**: Unload skills from completed phases to manage context\n5. **Keep writing loaded**: research-writing useful throughout for documentation\n\n## Skill Maintenance\n\nAll research skills follow these standards:\n- Practical code examples (Python primary, R when appropriate)\n- Real-world templates and protocols\n- Best practices and anti-patterns\n- Cross-references to related skills\n- 250-400 lines optimized for context efficiency\n\n## Integration with Other Skills\n\nResearch skills integrate well with:\n- **python-data-science**: For advanced analysis\n- **python-visualization**: For publication graphics\n- **academic-latex**: For paper formatting\n- **git-workflow**: For research project management\n- **reproducibility**: For reproducible research practices\n",{"name":5,"license":15,"metadata":55,"description":7,"compatibility":58},{"author":56,"version":57},"rand","4.0","Designed for Claude Code. Compatible with any agent supporting the Agent Skills format.","main","8a2633ba9675801138b1f62f15ff4b69767d87a0",".github\u002Fskills\u002Fdiscover-research","https:\u002F\u002Fgithub.com\u002FPatkik\u002FMulti-tenant-SaaS-Catering-V2","https:\u002F\u002Fgithub.com\u002FPatkik","Hi I like tech!","2026-05-04 14:32:25",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add Patkik\u002FMulti-tenant-SaaS-Catering-V2 --skill discover-research",{"tool":72,"command":73},"bunx","bunx skills add Patkik\u002FMulti-tenant-SaaS-Catering-V2 --skill discover-research",{"tool":75,"command":76},"pnpm","pnpm dlx skills add Patkik\u002FMulti-tenant-SaaS-Catering-V2 --skill discover-research","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FPatkik\u002FMulti-tenant-SaaS-Catering-V2\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fdiscover-research\u002FSKILL.md",true,[],[81,108,139,164,170,178],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":88,"publishedAt":50},"01M6K4302Q5FMB6XDQZ40THN7F","huggingface-tokenizers","Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in \u003C20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding\u002Ftruncation. Integrates seamlessly with transformers. 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