[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6EPQPD92D92115DYEVYCYCJ":3,"skill-same:01M6EPQPD92D92115DYEVYCYCJ":100},{"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":31,"publishedAt":50,"linkOnly":51,"markdownContent":52,"markdownBody":53,"frontMatter":54,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":60,"ownerHtmlUrl":61,"ownerBlogUrl":6,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6EPQPD92D92115DYEVYCYCJ","schema-alignment",null,"Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",66,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"schema alignment","schema","alignment","drift","sqlalchemy","detect","database schema","prisma","project","across","typeorm","code","models","orm","django","data","database","report","2026-11-10 10:12:30",false,"---\nname: schema-alignment\ndescription: \"Detect and report drift between database schema and code data models. Works with SQLAlchemy, Django ORM, Prisma, TypeORM, and other ORMs. Generic across any project.\"\n---\n\n# Schema Alignment Skill\n\nDetect drift between database schemas and code data models. This skill identifies missing columns, type mismatches, orphaned migrations, and naming inconsistencies.\n\n## Design Principle\n\nThis skill is **framework-generic**. It works with any ORM or database:\n- SQLAlchemy (Python)\n- Django ORM (Python)\n- Prisma (TypeScript\u002FJavaScript)\n- TypeORM (TypeScript)\n- Drizzle (TypeScript)\n- Alembic migrations\n- Prisma migrations\n- Django migrations\n\n## Variables\n\n| Variable | Default | Description |\n|----------|---------|-------------|\n| SCHEMA_SOURCE | auto | Schema source: auto, migrations, live_db, models |\n| SEVERITY_THRESHOLD | medium | Report issues at this level or higher |\n| AUTO_FIX | false | Attempt to generate fix suggestions |\n| INCLUDE_TYPES | true | Include type mismatch detection |\n\n## Instructions\n\n**MANDATORY** - Follow the Workflow steps below in order.\n\n1. Detect database technology and ORM in use\n2. Extract schema from migrations or live database\n3. Extract data models from code\n4. Compare and identify drift\n5. Generate alignment report\n\n## Red Flags - STOP and Reconsider\n\nIf you're about to:\n- Modify the database schema directly without a migration\n- Assume a column exists without checking the schema\n- Skip type checking because \"it works in tests\"\n- Ignore nullable\u002Fnot-null mismatches\n\n**STOP** -> Check schema alignment -> Generate migration if needed -> Then proceed\n\n## Workflow\n\n### 1. Detect Stack\n\nIdentify the database and ORM:\n\n```markdown\nCheck for these indicators:\n\n| File\u002FDependency | Technology |\n|-----------------|------------|\n| alembic.ini, alembic\u002F | Alembic (SQLAlchemy) |\n| prisma\u002Fschema.prisma | Prisma |\n| manage.py + migrations\u002F | Django |\n| ormconfig.json | TypeORM |\n| drizzle.config.ts | Drizzle |\n| supabase\u002Fmigrations\u002F | Supabase (PostgreSQL) |\n```\n\n### 2. Extract Database Schema\n\n#### Option A: From Migrations (Preferred)\n\nParse migration files to reconstruct current schema:\n\n```python\n# Alembic example\nfrom alembic.script import ScriptDirectory\nfrom alembic.config import Config\n\nconfig = Config(\"alembic.ini\")\nscripts = ScriptDirectory.from_config(config)\n# Walk revisions to build schema\n```\n\n#### Option B: From Live Database\n\nQuery information_schema (if accessible):\n\n```sql\nSELECT table_name, column_name, data_type, is_nullable\nFROM information_schema.columns\nWHERE table_schema = 'public';\n```\n\n#### Option C: From Model Definitions\n\nParse ORM model files directly.\n\n### 3. Extract Code Models\n\nParse model definitions from code:\n\n#### SQLAlchemy\n\n```python\n# Look for patterns like:\nclass User(Base):\n    __tablename__ = 'users'\n    id = Column(Integer, primary_key=True)\n    email = Column(String(255), nullable=False)\n```\n\n#### Prisma\n\n```prisma\nmodel User {\n  id    Int     @id @default(autoincrement())\n  email String  @unique\n  name  String?\n}\n```\n\n#### Pydantic\u002FTypeScript Types\n\nAlso extract related types:\n- Pydantic models\n- TypeScript interfaces\n- BAML type definitions\n\n### 4. Compare and Detect Drift\n\nRun comparisons:\n\n| Check | Source A | Source B | Issue Type |\n|-------|----------|----------|------------|\n| Missing column | DB schema | ORM model | MISSING_IN_MODEL |\n| Missing column | ORM model | DB schema | MISSING_IN_DB |\n| Type mismatch | DB type | Code type | TYPE_MISMATCH |\n| Nullable mismatch | DB nullable | Model nullable | NULLABLE_MISMATCH |\n| Name mismatch | snake_case | camelCase | NAMING_DRIFT |\n| Missing migration | Model change | Migration files | MISSING_MIGRATION |\n| FK constraint | DB constraint | ORM relationship | FK_MISMATCH |\n\n### 5. Generate Report\n\nOutput format:\n\n```markdown\n# Schema Alignment Report\n\n**Generated**: 2025-12-24T10:00:00Z\n**Database**: PostgreSQL (via Supabase)\n**ORM**: SQLAlchemy 2.0\n\n## Summary\n\n| Severity | Count |\n|----------|-------|\n| HIGH | 2 |\n| MEDIUM | 3 |\n| LOW | 5 |\n\n## Issues\n\n### 1. MISSING_IN_MODEL (HIGH)\n\n**Table**: `curation_jobs`\n**Column**: `retry_count` (INTEGER NOT NULL DEFAULT 0)\n**Model**: `src\u002Fmodels\u002Fcuration_job.py:CurationJob`\n\nThe column exists in the database but is not defined in the ORM model.\n\n**Fix**:\n```python\nretry_count: Mapped[int] = mapped_column(Integer, default=0)\n```\n\n### 2. TYPE_MISMATCH (MEDIUM)\n\n**Table**: `books`\n**Column**: `isbn` (VARCHAR(13))\n**Model**: `src\u002Fmodels\u002Fbook.py:Book.isbn` -> `str`\n\nDatabase constrains to 13 characters but model allows unbounded string.\n\n**Fix**:\n```python\nisbn: Mapped[str] = mapped_column(String(13))\n```\n\n### 3. MISSING_MIGRATION (LOW)\n\n**Model Change**: `User.preferences` added (JSONB)\n**Migration**: Not found\n\nA new column was added to the model but no migration exists.\n\n**Fix**:\n```bash\nalembic revision --autogenerate -m \"add user preferences\"\n```\n```\n\n## Cookbook\n\n### SQLAlchemy Detection\n- IF: Parsing SQLAlchemy models\n- THEN: Read and execute `.\u002Fcookbook\u002Fsqlalchemy-detection.md`\n\n### Prisma Detection\n- IF: Parsing Prisma schema\n- THEN: Read and execute `.\u002Fcookbook\u002Fprisma-detection.md`\n\n### Alembic Migrations\n- IF: Generating migration fix\n- THEN: Read and execute `.\u002Fcookbook\u002Falembic-migration.md`\n\n## Issue Severity Matrix\n\n| Issue Type | Default Severity | Upgrade If |\n|------------|-----------------|------------|\n| MISSING_IN_MODEL | HIGH | Column is NOT NULL |\n| MISSING_IN_DB | MEDIUM | Model references it |\n| TYPE_MISMATCH | MEDIUM | Could cause data loss |\n| NULLABLE_MISMATCH | LOW | NOT NULL in code, nullable in DB |\n| NAMING_DRIFT | LOW | - |\n| MISSING_MIGRATION | LOW | - |\n| FK_MISMATCH | MEDIUM | Causes ORM errors |\n\n## Integration\n\n### With \u002Fai-dev-kit:check-schema\n\nDirect invocation:\n\n```bash\n# Full check\n\u002Fai-dev-kit:check-schema\n\n# Check specific tables\n\u002Fai-dev-kit:check-schema --tables=users,orders\n\n# Generate fixes\n\u002Fai-dev-kit:check-schema --auto-fix\n\n# Output to file\n\u002Fai-dev-kit:check-schema --output=alignment-report.md\n```\n\n### With \u002Fai-dev-kit:execute-lane\n\nRuns as pre-flight check for database-related lanes:\n\n```markdown\nLane: SL-DB (Database Schema)\n\nPre-flight checks:\n1. ✓ Git worktree clean\n2. ✗ Schema alignment check failed\n   - 2 HIGH severity issues found\n   - See alignment-report.md\n\nAction: Resolve schema issues before proceeding.\n```\n\n### With \u002Fai-dev-kit:plan-phase\n\nRuns during phase planning:\n\n```markdown\nPlanning Phase P1...\n\nSchema Alignment: ⚠️ 3 issues detected\n- 1 missing migration\n- 2 type mismatches\n\nRecommendation: Add schema alignment task to SL-DB lane.\n```\n\n## Output Schema\n\n```json\n{\n  \"$schema\": \"http:\u002F\u002Fjson-schema.org\u002Fdraft-07\u002Fschema#\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"generated_at\": {\"type\": \"string\", \"format\": \"date-time\"},\n    \"database\": {\"type\": \"string\"},\n    \"orm\": {\"type\": \"string\"},\n    \"summary\": {\n      \"type\": \"object\",\n      \"properties\": {\n        \"high\": {\"type\": \"integer\"},\n        \"medium\": {\"type\": \"integer\"},\n        \"low\": {\"type\": \"integer\"}\n      }\n    },\n    \"issues\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"type\": {\"type\": \"string\"},\n          \"severity\": {\"enum\": [\"HIGH\", \"MEDIUM\", \"LOW\"]},\n          \"table\": {\"type\": \"string\"},\n          \"column\": {\"type\": \"string\"},\n          \"model_location\": {\"type\": \"string\"},\n          \"description\": {\"type\": \"string\"},\n          \"fix\": {\"type\": \"string\"}\n        }\n      }\n    }\n  }\n}\n```\n\n## Best Practices\n\n1. **Run regularly**: Check schema alignment before each PR\n2. **CI integration**: Add to CI pipeline for automatic detection\n3. **Migration hygiene**: Always generate migrations for model changes\n4. **Type consistency**: Use explicit types in models matching DB constraints\n5. **Document drift**: If drift is intentional, document why\n","# Schema Alignment Skill\n\nDetect drift between database schemas and code data models. This skill identifies missing columns, type mismatches, orphaned migrations, and naming inconsistencies.\n\n## Design Principle\n\nThis skill is **framework-generic**. It works with any ORM or database:\n- SQLAlchemy (Python)\n- Django ORM (Python)\n- Prisma (TypeScript\u002FJavaScript)\n- TypeORM (TypeScript)\n- Drizzle (TypeScript)\n- Alembic migrations\n- Prisma migrations\n- Django migrations\n\n## Variables\n\n| Variable | Default | Description |\n|----------|---------|-------------|\n| SCHEMA_SOURCE | auto | Schema source: auto, migrations, live_db, models |\n| SEVERITY_THRESHOLD | medium | Report issues at this level or higher |\n| AUTO_FIX | false | Attempt to generate fix suggestions |\n| INCLUDE_TYPES | true | Include type mismatch detection |\n\n## Instructions\n\n**MANDATORY** - Follow the Workflow steps below in order.\n\n1. Detect database technology and ORM in use\n2. Extract schema from migrations or live database\n3. Extract data models from code\n4. Compare and identify drift\n5. Generate alignment report\n\n## Red Flags - STOP and Reconsider\n\nIf you're about to:\n- Modify the database schema directly without a migration\n- Assume a column exists without checking the schema\n- Skip type checking because \"it works in tests\"\n- Ignore nullable\u002Fnot-null mismatches\n\n**STOP** -> Check schema alignment -> Generate migration if needed -> Then proceed\n\n## Workflow\n\n### 1. Detect Stack\n\nIdentify the database and ORM:\n\n```markdown\nCheck for these indicators:\n\n| File\u002FDependency | Technology |\n|-----------------|------------|\n| alembic.ini, alembic\u002F | Alembic (SQLAlchemy) |\n| prisma\u002Fschema.prisma | Prisma |\n| manage.py + migrations\u002F | Django |\n| ormconfig.json | TypeORM |\n| drizzle.config.ts | Drizzle |\n| supabase\u002Fmigrations\u002F | Supabase (PostgreSQL) |\n```\n\n### 2. Extract Database Schema\n\n#### Option A: From Migrations (Preferred)\n\nParse migration files to reconstruct current schema:\n\n```python\n# Alembic example\nfrom alembic.script import ScriptDirectory\nfrom alembic.config import Config\n\nconfig = Config(\"alembic.ini\")\nscripts = ScriptDirectory.from_config(config)\n# Walk revisions to build schema\n```\n\n#### Option B: From Live Database\n\nQuery information_schema (if accessible):\n\n```sql\nSELECT table_name, column_name, data_type, is_nullable\nFROM information_schema.columns\nWHERE table_schema = 'public';\n```\n\n#### Option C: From Model Definitions\n\nParse ORM model files directly.\n\n### 3. Extract Code Models\n\nParse model definitions from code:\n\n#### SQLAlchemy\n\n```python\n# Look for patterns like:\nclass User(Base):\n    __tablename__ = 'users'\n    id = Column(Integer, primary_key=True)\n    email = Column(String(255), nullable=False)\n```\n\n#### Prisma\n\n```prisma\nmodel User {\n  id    Int     @id @default(autoincrement())\n  email String  @unique\n  name  String?\n}\n```\n\n#### Pydantic\u002FTypeScript Types\n\nAlso extract related types:\n- Pydantic models\n- TypeScript interfaces\n- BAML type definitions\n\n### 4. Compare and Detect Drift\n\nRun comparisons:\n\n| Check | Source A | Source B | Issue Type |\n|-------|----------|----------|------------|\n| Missing column | DB schema | ORM model | MISSING_IN_MODEL |\n| Missing column | ORM model | DB schema | MISSING_IN_DB |\n| Type mismatch | DB type | Code type | TYPE_MISMATCH |\n| Nullable mismatch | DB nullable | Model nullable | NULLABLE_MISMATCH |\n| Name mismatch | snake_case | camelCase | NAMING_DRIFT |\n| Missing migration | Model change | Migration files | MISSING_MIGRATION |\n| FK constraint | DB constraint | ORM relationship | FK_MISMATCH |\n\n### 5. Generate Report\n\nOutput format:\n\n```markdown\n# Schema Alignment Report\n\n**Generated**: 2025-12-24T10:00:00Z\n**Database**: PostgreSQL (via Supabase)\n**ORM**: SQLAlchemy 2.0\n\n## Summary\n\n| Severity | Count |\n|----------|-------|\n| HIGH | 2 |\n| MEDIUM | 3 |\n| LOW | 5 |\n\n## Issues\n\n### 1. MISSING_IN_MODEL (HIGH)\n\n**Table**: `curation_jobs`\n**Column**: `retry_count` (INTEGER NOT NULL DEFAULT 0)\n**Model**: `src\u002Fmodels\u002Fcuration_job.py:CurationJob`\n\nThe column exists in the database but is not defined in the ORM model.\n\n**Fix**:\n```python\nretry_count: Mapped[int] = mapped_column(Integer, default=0)\n```\n\n### 2. TYPE_MISMATCH (MEDIUM)\n\n**Table**: `books`\n**Column**: `isbn` (VARCHAR(13))\n**Model**: `src\u002Fmodels\u002Fbook.py:Book.isbn` -> `str`\n\nDatabase constrains to 13 characters but model allows unbounded string.\n\n**Fix**:\n```python\nisbn: Mapped[str] = mapped_column(String(13))\n```\n\n### 3. MISSING_MIGRATION (LOW)\n\n**Model Change**: `User.preferences` added (JSONB)\n**Migration**: Not found\n\nA new column was added to the model but no migration exists.\n\n**Fix**:\n```bash\nalembic revision --autogenerate -m \"add user preferences\"\n```\n```\n\n## Cookbook\n\n### SQLAlchemy Detection\n- IF: Parsing SQLAlchemy models\n- THEN: Read and execute `.\u002Fcookbook\u002Fsqlalchemy-detection.md`\n\n### Prisma Detection\n- IF: Parsing Prisma schema\n- THEN: Read and execute `.\u002Fcookbook\u002Fprisma-detection.md`\n\n### Alembic Migrations\n- IF: Generating migration fix\n- THEN: Read and execute `.\u002Fcookbook\u002Falembic-migration.md`\n\n## Issue Severity Matrix\n\n| Issue Type | Default Severity | Upgrade If |\n|------------|-----------------|------------|\n| MISSING_IN_MODEL | HIGH | Column is NOT NULL |\n| MISSING_IN_DB | MEDIUM | Model references it |\n| TYPE_MISMATCH | MEDIUM | Could cause data loss |\n| NULLABLE_MISMATCH | LOW | NOT NULL in code, nullable in DB |\n| NAMING_DRIFT | LOW | - |\n| MISSING_MIGRATION | LOW | - |\n| FK_MISMATCH | MEDIUM | Causes ORM errors |\n\n## Integration\n\n### With \u002Fai-dev-kit:check-schema\n\nDirect invocation:\n\n```bash\n# Full check\n\u002Fai-dev-kit:check-schema\n\n# Check specific tables\n\u002Fai-dev-kit:check-schema --tables=users,orders\n\n# Generate fixes\n\u002Fai-dev-kit:check-schema --auto-fix\n\n# Output to file\n\u002Fai-dev-kit:check-schema --output=alignment-report.md\n```\n\n### With \u002Fai-dev-kit:execute-lane\n\nRuns as pre-flight check for database-related lanes:\n\n```markdown\nLane: SL-DB (Database Schema)\n\nPre-flight checks:\n1. ✓ Git worktree clean\n2. ✗ Schema alignment check failed\n   - 2 HIGH severity issues found\n   - See alignment-report.md\n\nAction: Resolve schema issues before proceeding.\n```\n\n### With \u002Fai-dev-kit:plan-phase\n\nRuns during phase planning:\n\n```markdown\nPlanning Phase P1...\n\nSchema Alignment: ⚠️ 3 issues detected\n- 1 missing migration\n- 2 type mismatches\n\nRecommendation: Add schema alignment task to SL-DB lane.\n```\n\n## Output Schema\n\n```json\n{\n  \"$schema\": \"http:\u002F\u002Fjson-schema.org\u002Fdraft-07\u002Fschema#\",\n  \"type\": \"object\",\n  \"properties\": {\n    \"generated_at\": {\"type\": \"string\", \"format\": \"date-time\"},\n    \"database\": {\"type\": \"string\"},\n    \"orm\": {\"type\": \"string\"},\n    \"summary\": {\n      \"type\": \"object\",\n      \"properties\": {\n        \"high\": {\"type\": \"integer\"},\n        \"medium\": {\"type\": \"integer\"},\n        \"low\": {\"type\": \"integer\"}\n      }\n    },\n    \"issues\": {\n      \"type\": \"array\",\n      \"items\": {\n        \"type\": \"object\",\n        \"properties\": {\n          \"type\": {\"type\": \"string\"},\n          \"severity\": {\"enum\": [\"HIGH\", \"MEDIUM\", \"LOW\"]},\n          \"table\": {\"type\": \"string\"},\n          \"column\": {\"type\": \"string\"},\n          \"model_location\": {\"type\": \"string\"},\n          \"description\": {\"type\": \"string\"},\n          \"fix\": {\"type\": \"string\"}\n        }\n      }\n    }\n  }\n}\n```\n\n## Best Practices\n\n1. **Run regularly**: Check schema alignment before each PR\n2. **CI integration**: Add to CI pipeline for automatic detection\n3. **Migration hygiene**: Always generate migrations for model changes\n4. **Type consistency**: Use explicit types in models matching DB constraints\n5. **Document drift**: If drift is intentional, document why\n",{"name":5,"description":7},"main","def8531e65114c0fca8fb8551c1871ee0eed705c","skills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment",24,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub","https:\u002F\u002Fskillshub.wtf","https:\u002F\u002Fgithub.com\u002FComeOnOliver","AI & Blockchain Engineer\r\n","2026-06-24 22:07:19",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add ComeOnOliver\u002Fskillshub --skill schema-alignment",{"tool":70,"command":71},"bunx","bunx skills add ComeOnOliver\u002Fskillshub --skill schema-alignment",{"tool":73,"command":74},"pnpm","pnpm dlx skills add ComeOnOliver\u002Fskillshub --skill schema-alignment","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002FSKILL.md",true,[78,84,88,92,96],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"cookbook\u002Falembic-migration.md","REFERENCE","参考文档",5501,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002Fcookbook\u002Falembic-migration.md",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"cookbook\u002Fprisma-detection.md",3315,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002Fcookbook\u002Fprisma-detection.md",{"path":89,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":90,"sourceHtmlUrl":91},"cookbook\u002Fsqlalchemy-detection.md",3346,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002Fcookbook\u002Fsqlalchemy-detection.md",{"path":93,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":94,"sourceHtmlUrl":95},"reference\u002Form-patterns.md",6076,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002Freference\u002Form-patterns.md",{"path":97,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":98,"sourceHtmlUrl":99},"skill-report.json",11358,"https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fconsiliency\u002Fschema-alignment\u002Fskill-report.json",[101,111,121,130,136,143],{"skillNo":102,"name":103,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":107,"publishedAt":50},"01M6FKJN13GMG4KY57J3QD8GY5","model-hierarchy-skill","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzscole\u002Fmodel-hierarchy-skill\u002Fmodel-hierarchy-skill\u002FSKILL.md",[106],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[108,109,110],"model","model hierarchy","model hierarchy skill",{"skillNo":112,"name":113,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":117,"publishedAt":50},"01M6FKJJJ6GCAMR4PPPRD12M5X","zoom-mcp","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-mcp\u002FSKILL.md",[116],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[118,119,120],"MCP","zoom","zoom mcp",{"skillNo":122,"name":123,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":124,"categories":125,"keywords":126,"publishedAt":50},"01M6FKJE3KYT3KPEZMEEHYKA6K","zoom-apps-sdk","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fzoom-apps-sdk\u002FSKILL.md",[],[127,128,129,119],"sdk","zoom apps sdk","apps",{"skillNo":131,"name":132,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":50},"01M6FKJ9EDH9Q5VWDF8HAJRSP0","windows","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwindows\u002FSKILL.md",[],[132],{"skillNo":137,"name":138,"nameZh":6,"description":6,"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":142,"publishedAt":50},"01M6FKJ666BEEFC3AE9GJ72Q93","whiteboard","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwhiteboard\u002FSKILL.md",[141],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[138],{"skillNo":144,"name":145,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":50},"01M6FKJ21WFCDGTJQ2Q91T9DVW","websockets","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Fzoom\u002Fskills\u002Fwebsockets\u002FSKILL.md",[],[145]]