{ "total": 104, "page": 1, "limit": 20, "data": [ { "id": "01", "slug": "01-enterprise-rag", "name": "Optimize config values", "description": "Optimize config values — chunking params, search weights, model routing, caching, evaluation thresholds", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 1000 }, "speckit": { "waf": [ "security", "reliability", "cost-optimization", "performance-efficiency", "responsible-ai" ], "guardrails": { "groundedness": 0.95, "coherence": 0.9, "relevance": 0.85, "safety": 0, "costPerQuery": 0.01 }, "scope": "enterprise-rag-qa", "knowledge": [ "R2-RAG-Architecture", "O3-MCP-Tools-Functions", "T3-Production-Patterns", "F1-GenAI-Foundations" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "02", "slug": "02-ai-landing-zone", "name": "Optimize SKU sizing, cost, quota, monitoring thresholds, 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"performance-efficiency", "cost-optimization" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "ai-search-portal-solution", "knowledge": [ "R2-RAG-Architecture", "F1-GenAI-Foundations" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "10", "slug": "10-content-moderation", "name": "Optimize category thresholds, reduce false positives, custom blocklist management, latency", "description": "Optimize category thresholds, reduce false positives, custom blocklist management, latency", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "security", "responsible-ai", "reliability" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "content-moderation-solution", "knowledge": [ "T2-Responsible-AI", "F1-GenAI-Foundations" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "11", "slug": "11-ai-landing-zone-advanced", "name": "Optimize SKU sizing, region selection, policy effects (Audit vs Deny), reserved instances, cost", "description": "Optimize SKU sizing, region selection, policy effects (Audit vs Deny), reserved instances, cost", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "security", "reliability", "cost-optimization", "operational-excellence", "performance-efficiency" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "ai-landing-zone-advanced-solution", "knowledge": [ "O5-GPU-Infra", "T3-Production-Patterns" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "12", "slug": "12-model-serving-aks", "name": "Optimize GPU utilization, spot node pools, auto-scaling rules, quantization level, batch size", "description": "Optimize GPU utilization, spot node pools, auto-scaling rules, quantization level, batch size", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "security", "reliability", "cost-optimization", "performance-efficiency" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "model-serving-aks-solution", "knowledge": [ "O5-GPU-Infra", "T1-Fine-Tuning-MLOps", "T3-Production-Patterns" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "13", "slug": "13-fine-tuning-workflow", "name": "Optimize LoRA rank, learning rate, epochs, batch size, compute selection, cost per training run", "description": "Optimize LoRA rank, learning rate, epochs, batch size, compute selection, cost per training run", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": null, "temperature": null, "maxTokens": null }, "speckit": { "waf": [ "security", "cost-optimization", "operational-excellence" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "fine-tuning-workflow-solution", "knowledge": [ "T1-Fine-Tuning-MLOps", "F1-GenAI-Foundations" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "14", "slug": "14-cost-optimized-ai-gateway", "name": "Optimize cache TTL, similarity threshold, PTU vs pay-as-you-go, routing rules, cost per request", "description": "Optimize cache TTL, similarity threshold, PTU vs pay-as-you-go, routing rules, cost per request", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": null, "temperature": null, "maxTokens": null }, "speckit": { "waf": [ "cost-optimization", "performance-efficiency", "reliability", "security" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "cost-optimized-ai-gateway-solution", "knowledge": [ "T3-Production-Patterns", "F2-LLM-Selection" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "15", "slug": "15-multi-modal-docproc", "name": "Optimize vision vs OCR routing per page type, image resolution, batch throughput, cost per document", "description": "Optimize vision vs OCR routing per page type, image resolution, batch throughput, cost per document", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "security", "reliability", "responsible-ai" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "multi-modal-docproc-solution", "knowledge": [ "F1-GenAI-Foundations", "R2-RAG-Architecture" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "16", "slug": "16-copilot-teams-extension", "name": "Optimize Adaptive Card layouts, response quality, Graph API batching, caching strategy", "description": "Optimize Adaptive Card layouts, response quality, Graph API batching, caching strategy", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "security", "reliability", "operational-excellence" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "copilot-teams-extension-solution", "knowledge": [ "F4-GitHub-Agentic-OS", "O6-Copilot-Extend", "O3-MCP-Tools-Functions" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "17", "slug": "17-ai-observability", "name": "Optimize sampling rates, log retention tiers, alert thresholds, dashboard query performance, storage cost", "description": "Optimize sampling rates, log retention tiers, alert thresholds, dashboard query performance, storage cost", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "operational-excellence", "reliability", "cost-optimization" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "ai-observability-solution", "knowledge": [ "T3-Production-Patterns", "O5-GPU-Infra" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "18", "slug": "18-prompt-management", "name": "Optimize prompt token usage, A/B test analysis, template compression, few-shot example selection", "description": "Optimize prompt token usage, A/B test analysis, template compression, few-shot example selection", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": null, "temperature": null, "maxTokens": null }, "speckit": { "waf": [ "security", "cost-optimization", "operational-excellence" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "prompt-management-solution", "knowledge": [ "R1-Prompt-Patterns", "O1-Semantic-Kernel" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "19", "slug": "19-edge-ai-phi4", "name": "Optimize quantization level (INT4/INT8), inference speed, prompt compression, battery impact, cloud sync frequency", "description": "Optimize quantization level (INT4/INT8), inference speed, prompt compression, battery impact, cloud sync frequency", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "Phi-4-mini", "temperature": 0.2, "maxTokens": 512 }, "speckit": { "waf": [ "cost-optimization", "performance-efficiency", "security" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "edge-ai-phi4-solution", "knowledge": [ "F2-LLM-Selection", "T1-Fine-Tuning-MLOps" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } }, { "id": "20", "slug": "20-anomaly-detection", "name": "Optimize sensitivity thresholds, reduce false positives, tune detection windows, alert fatigue reduction", "description": "Optimize sensitivity thresholds, reduce false positives, tune detection windows, alert fatigue reduction", "hasManifest": true, "hasRootAgent": true, "devkit": { "agents": 3, "skills": 3, "instructions": 3, "hooks": 1 }, "tunekit": { "model": "gpt-4o", "temperature": 0.1, "maxTokens": 4096 }, "speckit": { "waf": [ "reliability", "security", "operational-excellence" ], "guardrails": { "groundedness": 0.85, "coherence": 0.8, "relevance": 0.8, "safety": 0, "costPerQuery": 0.05 }, "scope": "anomaly-detection-solution", "knowledge": [ "T3-Production-Patterns", "F1-GenAI-Foundations" ] }, "infrastructure": { "bicep": true, "config": true, "evaluation": true } } ] }