[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M784YSETJS89GJS1J95HZ976":3,"skill-same:01M784YSETJS89GJS1J95HZ976":76},{"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":19,"linkOnly":20,"markdownContent":21,"markdownBody":22,"frontMatter":23,"refName":24,"commitSha":25,"skillDirectory":26,"forksCount":14,"repositoryHtmlUrl":27,"repositoryHomepageUrl":6,"ownerHtmlUrl":28,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":29,"install":30,"resources":43},"01M784YSETJS89GJS1J95HZ976","gdpr-dsgvo-expert",null,"GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.","motivatedc-creator\u002FSaafy","motivatedc-creator","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F250662783?v=4","01M782H2D8C7XJGXMJC3YHQAWK","Happy Haris","01M782H2ERMBYEM1NSPPPC06S0",0,"MIT","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002FSKILL.md",[],[],"2026-11-15 14:19:17",false,"---\nname: \"gdpr-dsgvo-expert\"\ndescription: GDPR and German DSGVO compliance automation. Scans codebases for privacy risks, generates DPIA documentation, tracks data subject rights requests with Art. 12(3) one-month deadlines. Use when running GDPR compliance assessments, privacy audits, data protection planning, DPIA generation, or data subject rights (DSAR) management (e.g., 'check this service for GDPR risks', 'track an access request deadline'). Final compliance determinations route to the DPO or legal counsel.\n---\n\n# GDPR\u002FDSGVO Expert\n\nTools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.\n\n---\n\n## Table of Contents\n\n- [Tools](#tools)\n  - [GDPR Compliance Checker](#gdpr-compliance-checker)\n  - [DPIA Generator](#dpia-generator)\n  - [Data Subject Rights Tracker](#data-subject-rights-tracker)\n- [Reference Guides](#reference-guides)\n- [Workflows](#workflows)\n\n---\n\n## Tools\n\n### GDPR Compliance Checker\n\nScans codebases for potential GDPR compliance issues including personal data patterns and risky code practices.\n\n```bash\n# Scan a project directory\npython scripts\u002Fgdpr_compliance_checker.py \u002Fpath\u002Fto\u002Fproject\n\n# JSON output for CI\u002FCD integration\npython scripts\u002Fgdpr_compliance_checker.py . --json --output report.json\n```\n\n**Detects:**\n- Personal data patterns (email, phone, IP addresses)\n- Special category data (health, biometric, religion)\n- Financial data (credit cards, IBAN)\n- Risky code patterns:\n  - Logging personal data\n  - Missing consent mechanisms\n  - Indefinite data retention\n  - Unencrypted sensitive data\n  - Disabled deletion functionality\n\n**Output:**\n- Compliance score (0-100)\n- Risk categorization (critical, high, medium)\n- Prioritized recommendations with GDPR article references\n\n---\n\n### DPIA Generator\n\nGenerates Data Protection Impact Assessment documentation following Art. 35 requirements.\n\n```bash\n# Get input template\npython scripts\u002Fdpia_generator.py --template > input.json\n\n# Generate DPIA report\npython scripts\u002Fdpia_generator.py --input input.json --output dpia_report.md\n```\n\n**Features:**\n- Automatic DPIA threshold assessment\n- Risk identification based on processing characteristics\n- Legal basis requirements documentation\n- Mitigation recommendations\n- Markdown report generation\n\n**DPIA Triggers Assessed:**\n- Systematic monitoring (Art. 35(3)(c))\n- Large-scale special category data (Art. 35(3)(b))\n- Automated decision-making (Art. 35(3)(a))\n- EDPB-endorsed high-risk criteria (WP248 rev.01)\n\n---\n\n### Data Subject Rights Tracker\n\nManages data subject rights requests under GDPR Articles 15-22.\n\n```bash\n# Add new request\npython scripts\u002Fdata_subject_rights_tracker.py add \\\n  --type access --subject \"John Doe\" --email \"john@example.com\"\n\n# List all requests\npython scripts\u002Fdata_subject_rights_tracker.py list\n\n# Update status\npython scripts\u002Fdata_subject_rights_tracker.py status --id DSR-202601-0001 --update verified\n\n# Generate compliance report\npython scripts\u002Fdata_subject_rights_tracker.py report --output compliance.json\n\n# Generate response template\npython scripts\u002Fdata_subject_rights_tracker.py template --id DSR-202601-0001\n```\n\n**Supported Rights:**\n\n| Right | Article | Deadline |\n|-------|---------|----------|\n| Access | Art. 15 | One month (Art. 12(3)) |\n| Rectification | Art. 16 | One month (Art. 12(3)) |\n| Erasure | Art. 17 | One month (Art. 12(3)) |\n| Restriction | Art. 18 | One month (Art. 12(3)) |\n| Portability | Art. 20 | One month (Art. 12(3)) |\n| Objection | Art. 21 | One month (Art. 12(3)) |\n| Automated decisions | Art. 22 | One month (Art. 12(3)) |\n\n**Features:**\n- Deadline tracking with overdue alerts\n- Identity verification workflow\n- Response template generation\n- Compliance reporting\n\n---\n\n## Reference Guides\n\n### GDPR Compliance Guide\n`references\u002Fgdpr_compliance_guide.md`\n\nComprehensive implementation guidance covering:\n- Legal bases for processing (Art. 6)\n- Special category requirements (Art. 9)\n- Data subject rights implementation\n- Accountability requirements (Art. 30)\n- International transfers (Chapter V)\n- Breach notification (Art. 33-34)\n\n### German BDSG Requirements\n`references\u002Fgerman_bdsg_requirements.md`\n\nGerman-specific requirements including:\n- DPO appointment threshold (§ 38 BDSG - 20+ employees)\n- Employment data processing (§ 26 BDSG)\n- Video surveillance rules (§ 4 BDSG)\n- Credit scoring requirements (§ 31 BDSG)\n- State data protection laws (Landesdatenschutzgesetze)\n- Works council co-determination rights\n\n### DPIA Methodology\n`references\u002Fdpia_methodology.md`\n\nStep-by-step DPIA process:\n- Threshold assessment criteria\n- EDPB-endorsed high-risk indicators (WP248 rev.01)\n- Risk assessment methodology\n- Mitigation measure categories\n- DPO and supervisory authority consultation\n- Templates and checklists\n\n---\n\n## Workflows\n\n### Workflow 1: New Processing Activity Assessment\n\n```\nStep 1: Run compliance checker on codebase\n        → python scripts\u002Fgdpr_compliance_checker.py \u002Fpath\u002Fto\u002Fcode\n\nStep 2: Review findings and compliance score\n        → Address critical and high issues\n\nStep 3: Determine if DPIA required\n        → Check references\u002Fdpia_methodology.md threshold criteria\n\nStep 4: If DPIA required, generate assessment\n        → python scripts\u002Fdpia_generator.py --template > input.json\n        → Fill in processing details\n        → python scripts\u002Fdpia_generator.py --input input.json --output dpia.md\n\nStep 5: Document in records of processing activities\n```\n\n### Workflow 2: Data Subject Request Handling\n\n```\nStep 1: Log request in tracker\n        → python scripts\u002Fdata_subject_rights_tracker.py add --type [type] ...\n\nStep 2: Verify identity (proportionate measures)\n        → python scripts\u002Fdata_subject_rights_tracker.py status --id [ID] --update verified\n\nStep 3: Gather data from systems\n        → python scripts\u002Fdata_subject_rights_tracker.py status --id [ID] --update in_progress\n\nStep 4: Generate response\n        → python scripts\u002Fdata_subject_rights_tracker.py template --id [ID]\n\nStep 5: Send response and complete\n        → python scripts\u002Fdata_subject_rights_tracker.py status --id [ID] --update completed\n\nStep 6: Monitor compliance\n        → python scripts\u002Fdata_subject_rights_tracker.py report\n```\n\n### Workflow 3: German BDSG Compliance Check\n\n```\nStep 1: Determine if DPO required\n        → 20+ employees processing personal data automatically\n        → OR processing requires DPIA\n        → OR business involves data transfer\u002Fmarket research\n\nStep 2: If employees involved, review § 26 BDSG\n        → Document legal basis for employee data\n        → Check works council requirements\n\nStep 3: If video surveillance, comply with § 4 BDSG\n        → Install signage\n        → Document necessity\n        → Limit retention\n\nStep 4: Register DPO with supervisory authority\n        → See references\u002Fgerman_bdsg_requirements.md for authority list\n```\n\n---\n\n## Key GDPR Concepts\n\n### Legal Bases (Art. 6)\n\n- **Consent**: Marketing, newsletters, analytics (must be freely given, specific, informed)\n- **Contract**: Order fulfillment, service delivery\n- **Legal obligation**: Tax records, employment law\n- **Legitimate interests**: Fraud prevention, security (requires balancing test)\n\n### Special Category Data (Art. 9)\n\nRequires explicit consent or Art. 9(2) exception:\n- Health data\n- Biometric data\n- Racial\u002Fethnic origin\n- Political opinions\n- Religious beliefs\n- Trade union membership\n- Genetic data\n- Sexual orientation\n\n### Data Subject Rights\n\nAll rights must be fulfilled within **one month of receipt** (Art. 12(3)). The deadline runs by calendar month, not 30 days, and may be extended by **two further months** for complex or numerous requests — the data subject must be informed of the extension (with reasons) within the first month:\n- **Access**: Provide copy of data and processing information\n- **Rectification**: Correct inaccurate data\n- **Erasure**: Delete data (with exceptions for legal obligations)\n- **Restriction**: Limit processing while issues are resolved\n- **Portability**: Provide data in machine-readable format\n- **Object**: Stop processing based on legitimate interests\n\n### German BDSG Additions\n\n| Topic | BDSG Section | Key Requirement |\n|-------|--------------|-----------------|\n| DPO threshold | § 38 | 20+ employees = mandatory DPO |\n| Employment | § 26 | Detailed employee data rules |\n| Video | § 4 | Signage and proportionality |\n| Scoring | § 31 | Explainable algorithms |\n","# GDPR\u002FDSGVO Expert\n\nTools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.\n\n---\n\n## Table of Contents\n\n- [Tools](#tools)\n  - [GDPR Compliance Checker](#gdpr-compliance-checker)\n  - [DPIA Generator](#dpia-generator)\n  - [Data Subject Rights Tracker](#data-subject-rights-tracker)\n- [Reference Guides](#reference-guides)\n- [Workflows](#workflows)\n\n---\n\n## Tools\n\n### GDPR Compliance Checker\n\nScans codebases for potential GDPR compliance issues including personal data patterns and risky code practices.\n\n```bash\n# Scan a project directory\npython scripts\u002Fgdpr_compliance_checker.py \u002Fpath\u002Fto\u002Fproject\n\n# JSON output for CI\u002FCD integration\npython scripts\u002Fgdpr_compliance_checker.py . --json --output report.json\n```\n\n**Detects:**\n- Personal data patterns (email, phone, IP addresses)\n- Special category data (health, biometric, religion)\n- Financial data (credit cards, IBAN)\n- Risky code patterns:\n  - Logging personal data\n  - Missing consent mechanisms\n  - Indefinite data retention\n  - Unencrypted sensitive data\n  - Disabled deletion functionality\n\n**Output:**\n- Compliance score (0-100)\n- Risk categorization (critical, high, medium)\n- Prioritized recommendations with GDPR article references\n\n---\n\n### DPIA Generator\n\nGenerates Data Protection Impact Assessment documentation following Art. 35 requirements.\n\n```bash\n# Get input template\npython scripts\u002Fdpia_generator.py --template > input.json\n\n# Generate DPIA report\npython scripts\u002Fdpia_generator.py --input input.json --output dpia_report.md\n```\n\n**Features:**\n- Automatic DPIA threshold assessment\n- Risk identification based on processing characteristics\n- Legal basis requirements documentation\n- Mitigation recommendations\n- Markdown report generation\n\n**DPIA Triggers Assessed:**\n- Systematic monitoring (Art. 35(3)(c))\n- Large-scale special category data (Art. 35(3)(b))\n- Automated decision-making (Art. 35(3)(a))\n- EDPB-endorsed high-risk criteria (WP248 rev.01)\n\n---\n\n### Data Subject Rights Tracker\n\nManages data subject rights requests under GDPR Articles 15-22.\n\n```bash\n# Add new request\npython scripts\u002Fdata_subject_rights_tracker.py add \\\n  --type access --subject \"John Doe\" --email \"john@example.com\"\n\n# List all requests\npython scripts\u002Fdata_subject_rights_tracker.py list\n\n# Update status\npython scripts\u002Fdata_subject_rights_tracker.py status --id DSR-202601-0001 --update verified\n\n# Generate compliance report\npython scripts\u002Fdata_subject_rights_tracker.py report --output compliance.json\n\n# Generate response template\npython scripts\u002Fdata_subject_rights_tracker.py template --id DSR-202601-0001\n```\n\n**Supported Rights:**\n\n| Right | Article | Deadline |\n|-------|---------|----------|\n| Access | Art. 15 | One month (Art. 12(3)) |\n| Rectification | Art. 16 | One month (Art. 12(3)) |\n| Erasure | Art. 17 | One month (Art. 12(3)) |\n| Restriction | Art. 18 | One month (Art. 12(3)) |\n| Portability | Art. 20 | One month (Art. 12(3)) |\n| Objection | Art. 21 | One month (Art. 12(3)) |\n| Automated decisions | Art. 22 | One month (Art. 12(3)) |\n\n**Features:**\n- Deadline tracking with overdue alerts\n- Identity verification workflow\n- Response template generation\n- Compliance reporting\n\n---\n\n## Reference Guides\n\n### GDPR Compliance Guide\n`references\u002Fgdpr_compliance_guide.md`\n\nComprehensive implementation guidance covering:\n- Legal bases for processing (Art. 6)\n- Special category requirements (Art. 9)\n- Data subject rights implementation\n- Accountability requirements (Art. 30)\n- International transfers (Chapter V)\n- Breach notification (Art. 33-34)\n\n### German BDSG Requirements\n`references\u002Fgerman_bdsg_requirements.md`\n\nGerman-specific requirements including:\n- DPO appointment threshold (§ 38 BDSG - 20+ employees)\n- Employment data processing (§ 26 BDSG)\n- Video surveillance rules (§ 4 BDSG)\n- Credit scoring requirements (§ 31 BDSG)\n- State data protection laws (Landesdatenschutzgesetze)\n- Works council co-determination rights\n\n### DPIA Methodology\n`references\u002Fdpia_methodology.md`\n\nStep-by-step DPIA process:\n- Threshold assessment criteria\n- EDPB-endorsed high-risk indicators (WP248 rev.01)\n- Risk assessment methodology\n- Mitigation measure categories\n- DPO and supervisory authority consultation\n- Templates and checklists\n\n---\n\n## Workflows\n\n### Workflow 1: New Processing Activity Assessment\n\n```\nStep 1: Run compliance checker on codebase\n        → python scripts\u002Fgdpr_compliance_checker.py \u002Fpath\u002Fto\u002Fcode\n\nStep 2: Review findings and compliance score\n        → Address critical and high issues\n\nStep 3: Determine if DPIA required\n        → Check references\u002Fdpia_methodology.md threshold criteria\n\nStep 4: If DPIA required, generate assessment\n        → python scripts\u002Fdpia_generator.py --template > input.json\n        → Fill in processing details\n        → python scripts\u002Fdpia_generator.py --input input.json --output dpia.md\n\nStep 5: Document in records of processing activities\n```\n\n### Workflow 2: Data Subject Request Handling\n\n```\nStep 1: Log request in tracker\n        → python scripts\u002Fdata_subject_rights_tracker.py add --type [type] ...\n\nStep 2: Verify identity (proportionate measures)\n        → python scripts\u002Fdata_subject_rights_tracker.py status --id [ID] --update verified\n\nStep 3: Gather data from systems\n        → python scripts\u002Fdata_subject_rights_tracker.py status --id [ID] --update in_progress\n\nStep 4: Generate response\n        → python scripts\u002Fdata_subject_rights_tracker.py template --id [ID]\n\nStep 5: Send response and complete\n        → python scripts\u002Fdata_subject_rights_tracker.py status --id [ID] --update completed\n\nStep 6: Monitor compliance\n        → python scripts\u002Fdata_subject_rights_tracker.py report\n```\n\n### Workflow 3: German BDSG Compliance Check\n\n```\nStep 1: Determine if DPO required\n        → 20+ employees processing personal data automatically\n        → OR processing requires DPIA\n        → OR business involves data transfer\u002Fmarket research\n\nStep 2: If employees involved, review § 26 BDSG\n        → Document legal basis for employee data\n        → Check works council requirements\n\nStep 3: If video surveillance, comply with § 4 BDSG\n        → Install signage\n        → Document necessity\n        → Limit retention\n\nStep 4: Register DPO with supervisory authority\n        → See references\u002Fgerman_bdsg_requirements.md for authority list\n```\n\n---\n\n## Key GDPR Concepts\n\n### Legal Bases (Art. 6)\n\n- **Consent**: Marketing, newsletters, analytics (must be freely given, specific, informed)\n- **Contract**: Order fulfillment, service delivery\n- **Legal obligation**: Tax records, employment law\n- **Legitimate interests**: Fraud prevention, security (requires balancing test)\n\n### Special Category Data (Art. 9)\n\nRequires explicit consent or Art. 9(2) exception:\n- Health data\n- Biometric data\n- Racial\u002Fethnic origin\n- Political opinions\n- Religious beliefs\n- Trade union membership\n- Genetic data\n- Sexual orientation\n\n### Data Subject Rights\n\nAll rights must be fulfilled within **one month of receipt** (Art. 12(3)). The deadline runs by calendar month, not 30 days, and may be extended by **two further months** for complex or numerous requests — the data subject must be informed of the extension (with reasons) within the first month:\n- **Access**: Provide copy of data and processing information\n- **Rectification**: Correct inaccurate data\n- **Erasure**: Delete data (with exceptions for legal obligations)\n- **Restriction**: Limit processing while issues are resolved\n- **Portability**: Provide data in machine-readable format\n- **Object**: Stop processing based on legitimate interests\n\n### German BDSG Additions\n\n| Topic | BDSG Section | Key Requirement |\n|-------|--------------|-----------------|\n| DPO threshold | § 38 | 20+ employees = mandatory DPO |\n| Employment | § 26 | Detailed employee data rules |\n| Video | § 4 | Signage and proportionality |\n| Scoring | § 31 | Explainable algorithms |\n",{"name":5,"description":7},"main","55ae24ca5523c0499dd70b2874ef674a0e66a85b","ra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator","2026-07-04 02:45:55",{"source":8,"skillName":5,"commands":31,"prompt":41,"zipAvailable":42},[32,35,38],{"tool":33,"command":34},"npx","npx skills add motivatedc-creator\u002FSaafy --skill gdpr-dsgvo-expert",{"tool":36,"command":37},"bunx","bunx skills add motivatedc-creator\u002FSaafy --skill gdpr-dsgvo-expert",{"tool":39,"command":40},"pnpm","pnpm dlx skills add motivatedc-creator\u002FSaafy --skill gdpr-dsgvo-expert","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002FSKILL.md",true,[44,50,54,58,62,68,72],{"path":45,"resourceType":46,"resourceTypeDesc":47,"sizeBytes":48,"sourceHtmlUrl":49},"references\u002Fdpia_methodology.md","REFERENCE","参考文档",10999,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Freferences\u002Fdpia_methodology.md",{"path":51,"resourceType":46,"resourceTypeDesc":47,"sizeBytes":52,"sourceHtmlUrl":53},"references\u002Fgdpr_audit_playbook.md",10677,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Freferences\u002Fgdpr_audit_playbook.md",{"path":55,"resourceType":46,"resourceTypeDesc":47,"sizeBytes":56,"sourceHtmlUrl":57},"references\u002Fgdpr_compliance_guide.md",9114,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Freferences\u002Fgdpr_compliance_guide.md",{"path":59,"resourceType":46,"resourceTypeDesc":47,"sizeBytes":60,"sourceHtmlUrl":61},"references\u002Fgerman_bdsg_requirements.md",8866,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Freferences\u002Fgerman_bdsg_requirements.md",{"path":63,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":67},"scripts\u002Fdata_subject_rights_tracker.py","SCRIPT","脚本",20318,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Fscripts\u002Fdata_subject_rights_tracker.py",{"path":69,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":70,"sourceHtmlUrl":71},"scripts\u002Fdpia_generator.py",20683,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Fscripts\u002Fdpia_generator.py",{"path":73,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":74,"sourceHtmlUrl":75},"scripts\u002Fgdpr_compliance_checker.py",15467,"https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fra-qm-team\u002Fskills\u002Fgdpr-dsgvo-expert\u002Fscripts\u002Fgdpr_compliance_checker.py",[77,84,91,98,105,112],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":83,"publishedAt":19},"01M78558T3RQ22S1B5H0FJAY1Y","syllabus","Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Use when the user uploads a syllabus, course outline, or curriculum document and wants supplementary readings (e.g., 'create a reading list from this syllabus', 'find recent papers for my course') — even casual mentions with a syllabus attached should trigger this skill.","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fresearch\u002Fsyllabus\u002Fskills\u002Fsyllabus\u002FSKILL.md",[],[],{"skillNo":85,"name":86,"nameZh":6,"description":87,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":88,"categories":89,"keywords":90,"publishedAt":19},"01M7854YEAAV883M2PKS04TQEK","research","Default entry point for any research request — a hybrid router that classifies the question deterministically and either delegates to a specialist research skill (pulse for trends\u002Fsentiment, grants for NIH funding, litreview for academic literature, syllabus for course reading, patent for prior-art + IP landscape, dossier for entity research) or runs its own plan-decompose-multi-source-search-synthesize-cite fallback workflow when no specialist matches. Always surfaces the routing decision so users can override. Use when the user makes any research request that doesn't obviously match a more-specific specialist skill (e.g., \"research [topic]\", \"look into [topic]\", \"what do we know about [topic]\", \"investigate [topic]\", \"find me information on [topic]\", \"do some research on [topic]\", \"I need to understand [topic]\"). Output is a markdown briefing (default) or .docx document (on request) with full citations and an audit log.","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fresearch\u002Fresearch\u002Fskills\u002Fresearch\u002FSKILL.md",[],[],{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":19},"01M7854NCGDBQ6Q0QG2YY4VHSX","pulse","Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X\u002FTwitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend\u002Fsentiment\u002Fproblems\u002Fopportunities\u002Fcomparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fresearch\u002Fpulse\u002Fskills\u002Fpulse\u002FSKILL.md",[],[],{"skillNo":99,"name":100,"nameZh":6,"description":101,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":102,"categories":103,"keywords":104,"publishedAt":19},"01M78549YZMPYGC1F6S7ZJ4VF8","patent","Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search \u002F freedom-to-operate \u002F competitive landscape \u002F acquisition diligence \u002F litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fresearch\u002Fpatent\u002Fskills\u002Fpatent\u002FSKILL.md",[],[],{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":111,"publishedAt":19},"01M78541PWEQMBPN91PEZZK8H7","notebooklm","Browser automation skill for controlling Google's NotebookLM. Use when the user wants anything done in NotebookLM (e.g., 'open NotebookLM', 'check my [name] notebook', 'ask my notebook about X', 'add [source] to NotebookLM', 'generate a Video Overview from my notebook', 'use NotebookLM Studio'). Handles reading and querying notebooks, adding sources (URLs, text, files, YouTube links, synthesized content), generating Studio outputs (Audio\u002FVideo Overviews, Mind Maps, Reports incl. Briefing Doc\u002FStudy Guide\u002FFAQ, Flashcards, Quiz, slide decks, infographics — discover the exact set from the live Studio panel; the UI evolves fast), and creating new notebooks. Requires browser automation environment — fails gracefully when unavailable.","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fresearch\u002Fnotebooklm\u002Fskills\u002Fnotebooklm\u002FSKILL.md",[],[],{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":118,"publishedAt":19},"01M7853P7CWJNW5G0Z99YB6H5D","litreview","Academic literature orientation skill that searches papers via free keyless APIs (PubMed E-utilities + OpenAlex) by default — with the Consensus MCP as an optional enhancement lane when connected — builds a strategic search plan using PICO (default) or SPIDER \u002F Decomposition \u002F hybrid as fallbacks, and synthesizes findings into a formatted Word (.docx) research guide. Grill-me intake (research question specificity + framework hint + tentative depth) before the recon search; a second forcing checkpoint after Phase 2 confirms framework + sub-areas + depth before searches consume budget. Configurable depth (5\u002F10\u002F20 queries) controls coverage vs. speed. Output is a 'launching pad' — an orientation guide that lets a researcher dive in confidently, not a finished review. Use when the user starts literature-oriented research (e.g., 'litreview on [topic]', 'literature review on [topic]', 'I'm starting a literature review on X', 'I'm writing a paper on X', 'help me research X', 'I'm doing research on X', 'can you help me research X'). Do NOT use for single one-off paper searches wanting a quick list — that's a plain PubMed\u002FOpenAlex (or Consensus) query.","https:\u002F\u002Fgithub.com\u002Fmotivatedc-creator\u002FSaafy\u002Fblob\u002Fmain\u002Fresearch\u002Flitreview\u002Fskills\u002Flitreview\u002FSKILL.md",[],[]]