[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CQA6H5BKNZZ09ASPN2C2CG":3,"skill-same:01M6CQA6H5BKNZZ09ASPN2C2CG":92},{"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":47,"linkOnly":48,"markdownContent":49,"markdownBody":50,"frontMatter":51,"refName":55,"commitSha":56,"skillDirectory":57,"forksCount":14,"repositoryHtmlUrl":58,"repositoryHomepageUrl":59,"ownerHtmlUrl":60,"ownerBlogUrl":61,"ownerDescription":62,"updatedAt":63,"install":64,"resources":77},"01M6CQA6H5BKNZZ09ASPN2C2CG","customize",null,"Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).","Trollz1004\u002FANTIGRAVITY","Trollz1004","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F132442315?v=4","01M6CQ4Z97ERZA2CXR388F6NZ1","Joshua Coleman","01M6CQ4ZCYE67QPNWBBV8H9DBE",0,"MIT","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FSKILL.md",[],[5,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46],"choose","for","advanced","quick","throughput","processing","filter","full","options","do","selection","quota","version","use","interactive","policy","select","model","configure","SET","flow","openai","deployment","azure openai","model deployment","azure","preset","capacity","2026-11-10 10:12:30",false,"---\nname: customize\ndescription: 'Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).'\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: '1.0.1'\n---\n\n# Customize Model Deployment\n\nInteractive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.\n\n## Quick Reference\n\n| Property           | Description                                                    |\n| ------------------ | -------------------------------------------------------------- |\n| **Flow**           | Interactive step-by-step guided deployment                     |\n| **Customization**  | Version, SKU, Capacity, RAI Policy, Advanced Options           |\n| **SKU Support**    | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard |\n| **Best For**       | Precise control over deployment configuration                  |\n| **Authentication** | Azure CLI (`az login`)                                         |\n| **Tools**          | Azure CLI, MCP tools (optional)                                |\n\n## When to Use This Skill\n\nUse this skill when you need **precise control** over deployment configuration:\n\n- ✅ **Choose specific model version** (not just latest)\n- ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU)\n- ✅ **Set exact capacity** within available range\n- ✅ **Configure content filtering** (RAI policy selection)\n- ✅ **Enable advanced features** (dynamic quota, priority processing, spillover)\n- ✅ **PTU deployments** (Provisioned Throughput Units)\n\n**Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration.\n\n### Comparison: customize vs preset\n\n| Feature               | customize                                                      | preset                                     |\n| --------------------- | -------------------------------------------------------------- | ------------------------------------------ |\n| **Focus**             | Full customization control                                     | Optimal region selection                   |\n| **Version Selection** | User chooses from available                                    | Uses latest automatically                  |\n| **SKU Selection**     | User chooses (GlobalStandard\u002FStandard\u002FPTU)                     | GlobalStandard only                        |\n| **Capacity**          | User specifies exact value                                     | Auto-calculated (50% of available)         |\n| **RAI Policy**        | User selects from options                                      | Default policy only                        |\n| **Region**            | Current region first, falls back to all regions if no capacity | Checks capacity across all regions upfront |\n| **Use Case**          | Precise deployment requirements                                | Quick deployment to best region            |\n\n## Prerequisites\n\n- Azure subscription with Cognitive Services Contributor or Owner role\n- Azure AI Foundry project resource ID (format: `\u002Fsubscriptions\u002F{sub}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`)\n- Azure CLI installed and authenticated (`az login`)\n- Optional: Set `PROJECT_RESOURCE_ID` environment variable\n\n## Workflow Overview\n\n### Complete Flow (14 Phases)\n\n```\n1. Verify Authentication\n2. Get Project Resource ID\n3. Verify Project Exists\n4. Get Model Name (if not provided)\n5. List Model Versions → User Selects\n6. List SKUs for Version → User Selects\n7. Get Capacity Range → User Configures\n   7b. If no capacity: Cross-Region Fallback → Query all regions → User selects region\u002Fproject\n8. List RAI Policies → User Selects\n9. Configure Advanced Options (if applicable)\n10. Configure Version Upgrade Policy\n11. Generate Deployment Name\n12. Review Configuration\n13. Execute Deployment & Monitor\n```\n\n### Fast Path (Defaults)\n\nIf user accepts all defaults (latest version, GlobalStandard SKU, recommended capacity, default RAI policy, standard upgrade policy), deployment completes in ~5 interactions.\n\n---\n\n## Phase Summaries\n\n> ⚠️ **MUST READ:** Before executing any phase, load [references\u002Fcustomize-workflow.md](references\u002Fcustomize-workflow.md) for the full scripts and implementation details. The summaries below describe _what_ each phase does — the reference file contains the _how_ (CLI commands, quota patterns, capacity formulas, cross-region fallback logic).\n\n| Phase                     | Action                                                                             | Key Details                                            |\n| ------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------ |\n| **1. Verify Auth**        | Check `az account show`; prompt `az login` if needed                               | Verify correct subscription is active                  |\n| **2. Get Project ID**     | Read `PROJECT_RESOURCE_ID` env var or prompt user                                  | ARM resource ID format required                        |\n| **3. Verify Project**     | Parse resource ID, call `az cognitiveservices account show`                        | Extracts subscription, RG, account, project, region    |\n| **4. Get Model**          | List models via `az cognitiveservices account list-models`                         | User selects from available or enters custom name      |\n| **5. Select Version**     | Query versions for chosen model                                                    | Recommend latest; user picks from list                 |\n| **6. Select SKU**         | Query model catalog + subscription quota, show only deployable SKUs                | ⚠️ Never hardcode SKU lists — always query live data   |\n| **7. Configure Capacity** | Query capacity API, validate min\u002Fmax\u002Fstep, user enters value                       | Cross-region fallback if no capacity in current region |\n| **8. Select RAI Policy**  | Present content filter options                                                     | Default: `Microsoft.DefaultV2`                         |\n| **9. Advanced Options**   | Dynamic quota (GlobalStandard), priority processing (PTU), spillover               | SKU-dependent availability                             |\n| **10. Upgrade Policy**    | Choose: OnceNewDefaultVersionAvailable \u002F OnceCurrentVersionExpired \u002F NoAutoUpgrade | Default: auto-upgrade on new default                   |\n| **11. Deployment Name**   | Auto-generate unique name, allow custom override                                   | Validates format: `^[\\w.-]{2,64}$`                     |\n| **12. Review**            | Display full config summary, confirm before proceeding                             | User approves or cancels                               |\n| **13. Deploy & Monitor**  | `az cognitiveservices account deployment create`, poll status                      | Timeout after 5 min; show endpoint + portal link       |\n\n---\n\n## Error Handling\n\n### Common Issues and Resolutions\n\n| Error                      | Cause                         | Resolution                                                            |\n| -------------------------- | ----------------------------- | --------------------------------------------------------------------- |\n| **Model not found**        | Invalid model name            | List available models with `az cognitiveservices account list-models` |\n| **Version not available**  | Version not supported for SKU | Select different version or SKU                                       |\n| **Insufficient quota**     | Capacity > available quota    | Skill auto-searches all regions; fails only if no region has quota    |\n| **SKU not supported**      | SKU not available in region   | Cross-region fallback searches other regions automatically            |\n| **Capacity out of range**  | Invalid capacity value        | **PREVENTED**: Skill validates min\u002Fmax\u002Fstep at input (Phase 7)        |\n| **Deployment name exists** | Name conflict                 | Auto-incremented name generation                                      |\n| **Authentication failed**  | Not logged in                 | Run `az login`                                                        |\n| **Permission denied**      | Insufficient permissions      | Assign Cognitive Services Contributor role                            |\n| **Capacity query fails**   | API\u002Fpermissions\u002Fnetwork error | **DEPLOYMENT BLOCKED**: Will not proceed without valid quota data     |\n\n### Troubleshooting Commands\n\n```bash\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n\n# List all deployments\naz cognitiveservices account deployment list --name \u003Caccount> --resource-group \u003Crg> -o table\n\n# Check quota usage\naz cognitiveservices usage list --name \u003Caccount> --resource-group \u003Crg>\n\n# Delete failed deployment\naz cognitiveservices account deployment delete --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n---\n\n## Selection Guides & Advanced Topics\n\n> For SKU comparison tables, PTU sizing formulas, and advanced option details, load [references\u002Fcustomize-guides.md](references\u002Fcustomize-guides.md).\n\n**SKU selection:** GlobalStandard (production\u002FHA) → Standard (dev\u002Ftest) → ProvisionedManaged (high-volume\u002Fguaranteed throughput) → DataZoneStandard (data residency).\n\n**Capacity:** TPM-based SKUs range from 1K (dev) to 100K+ (large production). PTU-based use formula: `(Input TPM × 0.001) + (Output TPM × 0.002) + (Requests\u002Fmin × 0.1)`.\n\n**Advanced options:** Dynamic quota (GlobalStandard only), priority processing (PTU only, extra cost), spillover (overflow to backup deployment).\n\n---\n\n## Related Skills\n\n- **preset** - Quick deployment to best region with automatic configuration\n- **microsoft-foundry** - Parent skill for all Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill instead of duplicating guidance\n- **rbac** - Manage permissions and access control\n\n---\n\n## Notes\n\n- Set `PROJECT_RESOURCE_ID` environment variable to skip prompt\n- Not all SKUs available in all regions; capacity varies by subscription\u002Fregion\u002Fmodel\n- Custom RAI policies can be configured in Azure Portal\n- Automatic version upgrades occur during maintenance windows\n- Use Azure Monitor and Application Insights for production deployments\n","# Customize Model Deployment\n\nInteractive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.\n\n## Quick Reference\n\n| Property           | Description                                                    |\n| ------------------ | -------------------------------------------------------------- |\n| **Flow**           | Interactive step-by-step guided deployment                     |\n| **Customization**  | Version, SKU, Capacity, RAI Policy, Advanced Options           |\n| **SKU Support**    | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard |\n| **Best For**       | Precise control over deployment configuration                  |\n| **Authentication** | Azure CLI (`az login`)                                         |\n| **Tools**          | Azure CLI, MCP tools (optional)                                |\n\n## When to Use This Skill\n\nUse this skill when you need **precise control** over deployment configuration:\n\n- ✅ **Choose specific model version** (not just latest)\n- ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU)\n- ✅ **Set exact capacity** within available range\n- ✅ **Configure content filtering** (RAI policy selection)\n- ✅ **Enable advanced features** (dynamic quota, priority processing, spillover)\n- ✅ **PTU deployments** (Provisioned Throughput Units)\n\n**Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration.\n\n### Comparison: customize vs preset\n\n| Feature               | customize                                                      | preset                                     |\n| --------------------- | -------------------------------------------------------------- | ------------------------------------------ |\n| **Focus**             | Full customization control                                     | Optimal region selection                   |\n| **Version Selection** | User chooses from available                                    | Uses latest automatically                  |\n| **SKU Selection**     | User chooses (GlobalStandard\u002FStandard\u002FPTU)                     | GlobalStandard only                        |\n| **Capacity**          | User specifies exact value                                     | Auto-calculated (50% of available)         |\n| **RAI Policy**        | User selects from options                                      | Default policy only                        |\n| **Region**            | Current region first, falls back to all regions if no capacity | Checks capacity across all regions upfront |\n| **Use Case**          | Precise deployment requirements                                | Quick deployment to best region            |\n\n## Prerequisites\n\n- Azure subscription with Cognitive Services Contributor or Owner role\n- Azure AI Foundry project resource ID (format: `\u002Fsubscriptions\u002F{sub}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`)\n- Azure CLI installed and authenticated (`az login`)\n- Optional: Set `PROJECT_RESOURCE_ID` environment variable\n\n## Workflow Overview\n\n### Complete Flow (14 Phases)\n\n```\n1. Verify Authentication\n2. Get Project Resource ID\n3. Verify Project Exists\n4. Get Model Name (if not provided)\n5. List Model Versions → User Selects\n6. List SKUs for Version → User Selects\n7. Get Capacity Range → User Configures\n   7b. If no capacity: Cross-Region Fallback → Query all regions → User selects region\u002Fproject\n8. List RAI Policies → User Selects\n9. Configure Advanced Options (if applicable)\n10. Configure Version Upgrade Policy\n11. Generate Deployment Name\n12. Review Configuration\n13. Execute Deployment & Monitor\n```\n\n### Fast Path (Defaults)\n\nIf user accepts all defaults (latest version, GlobalStandard SKU, recommended capacity, default RAI policy, standard upgrade policy), deployment completes in ~5 interactions.\n\n---\n\n## Phase Summaries\n\n> ⚠️ **MUST READ:** Before executing any phase, load [references\u002Fcustomize-workflow.md](references\u002Fcustomize-workflow.md) for the full scripts and implementation details. The summaries below describe _what_ each phase does — the reference file contains the _how_ (CLI commands, quota patterns, capacity formulas, cross-region fallback logic).\n\n| Phase                     | Action                                                                             | Key Details                                            |\n| ------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------ |\n| **1. Verify Auth**        | Check `az account show`; prompt `az login` if needed                               | Verify correct subscription is active                  |\n| **2. Get Project ID**     | Read `PROJECT_RESOURCE_ID` env var or prompt user                                  | ARM resource ID format required                        |\n| **3. Verify Project**     | Parse resource ID, call `az cognitiveservices account show`                        | Extracts subscription, RG, account, project, region    |\n| **4. Get Model**          | List models via `az cognitiveservices account list-models`                         | User selects from available or enters custom name      |\n| **5. Select Version**     | Query versions for chosen model                                                    | Recommend latest; user picks from list                 |\n| **6. Select SKU**         | Query model catalog + subscription quota, show only deployable SKUs                | ⚠️ Never hardcode SKU lists — always query live data   |\n| **7. Configure Capacity** | Query capacity API, validate min\u002Fmax\u002Fstep, user enters value                       | Cross-region fallback if no capacity in current region |\n| **8. Select RAI Policy**  | Present content filter options                                                     | Default: `Microsoft.DefaultV2`                         |\n| **9. Advanced Options**   | Dynamic quota (GlobalStandard), priority processing (PTU), spillover               | SKU-dependent availability                             |\n| **10. Upgrade Policy**    | Choose: OnceNewDefaultVersionAvailable \u002F OnceCurrentVersionExpired \u002F NoAutoUpgrade | Default: auto-upgrade on new default                   |\n| **11. Deployment Name**   | Auto-generate unique name, allow custom override                                   | Validates format: `^[\\w.-]{2,64}$`                     |\n| **12. Review**            | Display full config summary, confirm before proceeding                             | User approves or cancels                               |\n| **13. Deploy & Monitor**  | `az cognitiveservices account deployment create`, poll status                      | Timeout after 5 min; show endpoint + portal link       |\n\n---\n\n## Error Handling\n\n### Common Issues and Resolutions\n\n| Error                      | Cause                         | Resolution                                                            |\n| -------------------------- | ----------------------------- | --------------------------------------------------------------------- |\n| **Model not found**        | Invalid model name            | List available models with `az cognitiveservices account list-models` |\n| **Version not available**  | Version not supported for SKU | Select different version or SKU                                       |\n| **Insufficient quota**     | Capacity > available quota    | Skill auto-searches all regions; fails only if no region has quota    |\n| **SKU not supported**      | SKU not available in region   | Cross-region fallback searches other regions automatically            |\n| **Capacity out of range**  | Invalid capacity value        | **PREVENTED**: Skill validates min\u002Fmax\u002Fstep at input (Phase 7)        |\n| **Deployment name exists** | Name conflict                 | Auto-incremented name generation                                      |\n| **Authentication failed**  | Not logged in                 | Run `az login`                                                        |\n| **Permission denied**      | Insufficient permissions      | Assign Cognitive Services Contributor role                            |\n| **Capacity query fails**   | API\u002Fpermissions\u002Fnetwork error | **DEPLOYMENT BLOCKED**: Will not proceed without valid quota data     |\n\n### Troubleshooting Commands\n\n```bash\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n\n# List all deployments\naz cognitiveservices account deployment list --name \u003Caccount> --resource-group \u003Crg> -o table\n\n# Check quota usage\naz cognitiveservices usage list --name \u003Caccount> --resource-group \u003Crg>\n\n# Delete failed deployment\naz cognitiveservices account deployment delete --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n---\n\n## Selection Guides & Advanced Topics\n\n> For SKU comparison tables, PTU sizing formulas, and advanced option details, load [references\u002Fcustomize-guides.md](references\u002Fcustomize-guides.md).\n\n**SKU selection:** GlobalStandard (production\u002FHA) → Standard (dev\u002Ftest) → ProvisionedManaged (high-volume\u002Fguaranteed throughput) → DataZoneStandard (data residency).\n\n**Capacity:** TPM-based SKUs range from 1K (dev) to 100K+ (large production). PTU-based use formula: `(Input TPM × 0.001) + (Output TPM × 0.002) + (Requests\u002Fmin × 0.1)`.\n\n**Advanced options:** Dynamic quota (GlobalStandard only), priority processing (PTU only, extra cost), spillover (overflow to backup deployment).\n\n---\n\n## Related Skills\n\n- **preset** - Quick deployment to best region with automatic configuration\n- **microsoft-foundry** - Parent skill for all Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill instead of duplicating guidance\n- **rbac** - Manage permissions and access control\n\n---\n\n## Notes\n\n- Set `PROJECT_RESOURCE_ID` environment variable to skip prompt\n- Not all SKUs available in all regions; capacity varies by subscription\u002Fregion\u002Fmodel\n- Custom RAI policies can be configured in Azure Portal\n- Automatic version upgrades occur during maintenance windows\n- Use Azure Monitor and Application Insights for production deployments\n",{"name":5,"license":15,"metadata":52,"description":7},{"author":53,"version":54},"Microsoft","1.0.1","main","6deb42cc8c67a99d7613cb5802f8bbe01a0f3d12",".agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY","https:\u002F\u002Fwww.ai-solutions.store","https:\u002F\u002Fgithub.com\u002FTrollz1004","https:\u002F\u002Fyouandinotai.com","Founder building YouAndINotAI, OnlineRecycle, and AIDoesItAll through Trash Or Treasure Online Recycler LLC.","2026-11-12 18:53:17",{"source":8,"skillName":5,"commands":65,"prompt":75,"zipAvailable":76},[66,69,72],{"tool":67,"command":68},"npx","npx skills add Trollz1004\u002FANTIGRAVITY --skill customize",{"tool":70,"command":71},"bunx","bunx skills add Trollz1004\u002FANTIGRAVITY --skill customize",{"tool":73,"command":74},"pnpm","pnpm dlx skills add Trollz1004\u002FANTIGRAVITY --skill customize","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FSKILL.md",true,[78,84,88],{"path":79,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":82,"sourceHtmlUrl":83},"EXAMPLES.md","REFERENCE","参考文档",5575,"https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002FEXAMPLES.md",{"path":85,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":86,"sourceHtmlUrl":87},"references\u002Fcustomize-guides.md",3866,"https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002Freferences\u002Fcustomize-guides.md",{"path":89,"resourceType":80,"resourceTypeDesc":81,"sizeBytes":90,"sourceHtmlUrl":91},"references\u002Fcustomize-workflow.md",13735,"https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fmicrosoft-foundry\u002Fmodels\u002Fdeploy-model\u002Fcustomize\u002Freferences\u002Fcustomize-workflow.md",[93,118,158,184,211,235],{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":97,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":47},"01M6M5BT49KEBHJM9D0P5NM8ED","security-audit","Security guidance and vulnerability review for codebases, APIs, services, CLI tools, libraries, and daemons. Use for security questions, focused reviews, vulnerability research, security audits, or pen tests. Run the complete workflow only for explicit codebase audit or pen-test requests, full\u002Fcomprehensive\u002Fend-to-end reviews, or requested report artifacts.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsecurity-audit\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fsecurity-audit\u002FSKILL.md",[],[101,102,103,104,105,106,107,108,109,110,111,112,113,26,20,114,115,116,117,32],"security audit","audit","security","reviews","end","only","workflow","vulnerability","review","libraries","cli","run","Tools","complete","security guidance","codebase audit","tests",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":122,"licenseFileUrl":123,"sourceHtmlUrl":124,"categories":125,"keywords":139,"publishedAt":47},"01M6M5B16Q534MKFHKBHRZ2773","impeccable","Use when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.","Apache-2.0","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimpeccable\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fimpeccable\u002FSKILL.md",[126,131,134],{"categoryNo":127,"categoryName":128,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000009","前端开发","SCENARIO","使用场景",{"categoryNo":132,"categoryName":133,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":135,"categoryName":136,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[120,140,141,142,143,144,145,146,106,147,148,149,150,151,109,152,153,154,155,156,157],"ux copy","states","quieter","frontend","improve","design","interface","design systems","effects","simplify","tasks","components","hierarchy","critique","native","product","layout","when",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":162,"sourceHtmlUrl":163,"categories":164,"keywords":169,"publishedAt":47},"01M6M5AHHV2NPZYVMW48HP7A6H","hallmark","Design skill for websites and new pages that look designed, not generated. Use when the user asks to build or design something new, or names Hallmark. Never use it on an existing design unless the user names Hallmark, as in `\u002Fhallmark redesign \u003Cpath>`.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhallmark\u002FLICENSE","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fhallmark\u002FSKILL.md",[165,166],{"categoryNo":132,"categoryName":133,"taxonomyType":129,"taxonomyTypeDesc":130},{"categoryNo":167,"categoryName":168,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000023","Skill与智能体开发",[160,170,171,20,172,173,145,174,32,175,176,177,102,178,179,180,181,182,183,157],"as","never","true","pages","generated","Existing","prompt","build","redesign","look","it","user","path","new",{"skillNo":185,"name":186,"nameZh":6,"description":187,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":122,"licenseFileUrl":188,"sourceHtmlUrl":189,"categories":190,"keywords":195,"publishedAt":47},"01M6CQDXJ785JCD5PMKYD239ZZ","webapp-testing","Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwebapp-testing\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fwebapp-testing\u002FSKILL.md",[191,194],{"categoryNo":192,"categoryName":193,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000008","测试与质量",{"categoryNo":127,"categoryName":128,"taxonomyType":129,"taxonomyTypeDesc":130},[196,197,198,199,143,200,201,202,203,204,205,206,207,208,20,209,210],"webapp","testing","webapp testing","applications","debugging","toolkit","logs","browser","playwright","web","behavior","ui","screenshots","local","with",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":215,"sourceHtmlUrl":216,"categories":217,"keywords":218,"publishedAt":47},"01M6CQ5HBDE9Q5WJZXQ7G72MYD","appinsights-instrumentation","Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. USE FOR: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices. DO NOT USE FOR: adding App Insights to my app (use azure-prepare), add telemetry to my project (use azure-prepare), add monitoring (use azure-prepare). This skill provides guidance—azure-prepare orchestrates component changes.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fappinsights-instrumentation\u002FLICENSE.txt","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fappinsights-instrumentation\u002FSKILL.md",[],[219,220,28,44,221,32,222,223,224,225,226,227,228,229,230,231,232,233,234,20],"appinsights instrumentation","instrumentation","telemetry","monitoring","references","component","how","patterns","apm","sdk setup","app","project","insights","how to","my","add",{"skillNo":236,"name":237,"nameZh":6,"description":238,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":239,"categories":240,"keywords":254,"publishedAt":47},"01M6CQNQ5FNDP6K32RKXQ9X157","youtube-automation","YouTube automation: upload, SEO, thumbnails, scheduling, analytics.","https:\u002F\u002Fgithub.com\u002FTrollz1004\u002FANTIGRAVITY\u002Fblob\u002Fmain\u002Fops\u002Fskills\u002Fyoutube-automation\u002FSKILL.md",[241,244,247,248,251],{"categoryNo":242,"categoryName":243,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000013","分析与可视化",{"categoryNo":245,"categoryName":246,"taxonomyType":129,"taxonomyTypeDesc":130},"01JBSEEDCAT000000000000019","营销推广",{"categoryNo":167,"categoryName":168,"taxonomyType":129,"taxonomyTypeDesc":130},{"categoryNo":249,"categoryName":250,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000033","数据分析师",{"categoryNo":252,"categoryName":253,"taxonomyType":137,"taxonomyTypeDesc":138},"01JBSEEDCAT000000000000035","市场营销",[255,256,257,258,259,260,261,262,263,264,265,266,267,268],"automation","youtube","youtube automation","windows","seo","linux","scheduling","thumbnails","hermes","analytics","hermes agent","content","macos","upload"]