[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H8QSJD5V47VB9RTBQZQAB9":3,"skill-same:01M6H8QSJD5V47VB9RTBQZQAB9":69},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6H8QSJD5V47VB9RTBQZQAB9","retellai-observability",null,"Set up comprehensive observability for Retell AI integrations with metrics, traces, and alerts.\nUse when implementing monitoring for Retell AI operations, setting up dashboards,\nor configuring alerting for Retell AI integration health.\nTrigger with phrases like \"retellai monitoring\", \"retellai metrics\",\n\"retellai observability\", \"monitor retellai\", \"retellai alerts\", \"retellai tracing\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fretellai-pack\u002Fskills\u002Fretellai-observability\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"observability","retellai observability","operations","for","implementing","with","trigger","io","alerts","up","use","codex","read","integrations","health","SET","monitoring","alerting","code","monitor","2026-11-10 10:12:30",false,"---\nname: retellai-observability\ndescription: |\n  Set up comprehensive observability for Retell AI integrations with metrics, traces, and alerts.\n  Use when implementing monitoring for Retell AI operations, setting up dashboards,\n  or configuring alerting for Retell AI integration health.\n  Trigger with phrases like \"retellai monitoring\", \"retellai metrics\",\n  \"retellai observability\", \"monitor retellai\", \"retellai alerts\", \"retellai tracing\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# Retell AI Observability\n\n## Overview\nMonitor Retell AI voice agent performance, call quality, and costs. Key signals include call completion rate (successful conversations vs dropped\u002Ffailed calls), average call duration, latency between user speech and agent response (conversational latency), per-minute cost tracking, and agent-level success metrics (did the voice agent accomplish its goal).\n\n## Prerequisites\n- Retell AI account with active voice agents\n- API access for call data queries\n- Webhook endpoint for real-time call events\n\n## Instructions\n\n### Step 1: Monitor Call Quality via Webhooks\n```typescript\n\u002F\u002F retell-webhook-handler.ts\napp.post('\u002Fwebhooks\u002Fretell', (req, res) => {\n  const { call_id, agent_id, status, duration_seconds, cost_usd, disconnect_reason } = req.body;\n\n  emitCounter('retell_calls_total', 1, { agent: agent_id, status });\n  emitHistogram('retell_call_duration_sec', duration_seconds, { agent: agent_id });\n  emitCounter('retell_cost_usd', cost_usd, { agent: agent_id });\n\n  if (disconnect_reason === 'agent_error' || disconnect_reason === 'system_error') {\n    emitCounter('retell_call_errors_total', 1, { agent: agent_id, reason: disconnect_reason });\n  }\n\n  res.sendStatus(200);  # HTTP 200 OK\n});\n```\n\n### Step 2: Track Conversational Latency\n```bash\nset -euo pipefail\n# Query recent calls for response latency metrics\ncurl \"https:\u002F\u002Fapi.retellai.com\u002Fv1\u002Fcalls?limit=20&sort=-created_at\" \\\n  -H \"Authorization: Bearer $RETELL_API_KEY\" | \\\n  jq '.[] | {\n    call_id, agent_name, duration_sec: .duration,\n    avg_response_latency_ms: .avg_agent_response_latency_ms,\n    cost_usd: .cost,\n    disconnect_reason\n  }'\n```\n\n### Step 3: Monitor Per-Agent Performance\n```typescript\n\u002F\u002F Track which agents are performing well vs poorly\nasync function agentPerformanceReport() {\n  const agents = await retellApi.listAgents();\n  for (const agent of agents) {\n    const calls = await retellApi.listCalls({ agent_id: agent.agent_id, limit: 100 });\n    const completed = calls.filter(c => c.status === 'completed').length;\n    const avgDuration = calls.reduce((s, c) => s + c.duration, 0) \u002F calls.length;\n    const totalCost = calls.reduce((s, c) => s + c.cost, 0);\n\n    emitGauge('retell_agent_completion_rate', completed \u002F calls.length * 100, { agent: agent.agent_name });\n    emitGauge('retell_agent_avg_duration_sec', avgDuration, { agent: agent.agent_name });\n    emitGauge('retell_agent_total_cost_usd', totalCost, { agent: agent.agent_name });\n  }\n}\n```\n\n### Step 4: Alert on Voice Quality Issues\n```yaml\ngroups:\n  - name: retell\n    rules:\n      - alert: RetellHighDropRate\n        expr: rate(retell_calls_total{status=\"failed\"}[1h]) \u002F rate(retell_calls_total[1h]) > 0.1\n        annotations: { summary: \"Retell call failure rate exceeds 10%\" }\n      - alert: RetellHighLatency\n        expr: histogram_quantile(0.95, rate(retell_response_latency_ms_bucket[1h])) > 2000  # 2000: 2 seconds in ms\n        annotations: { summary: \"Retell agent response latency P95 exceeds 2 seconds\" }\n      - alert: RetellCostSpike\n        expr: increase(retell_cost_usd[1h]) > 50\n        annotations: { summary: \"Retell voice costs exceed $50\u002Fhour\" }\n      - alert: RetellShortCalls\n        expr: histogram_quantile(0.25, rate(retell_call_duration_sec_bucket[1h])) \u003C 10\n        annotations: { summary: \"25% of calls ending in \u003C10 seconds (agent issue?)\" }\n```\n\n### Step 5: Dashboard Panels\nTrack: call volume by agent, call completion rate (pie chart), duration distribution, per-minute cost trend, conversational latency p50\u002Fp95, disconnect reasons breakdown, and daily cost by agent. Short calls (\u003C10s) often indicate agent prompt issues where the bot fails to engage.\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| High call drop rate | Agent prompt causing hang-ups | Review and simplify agent greeting prompt |\n| Latency >2 seconds | LLM response slow | Use faster model or reduce prompt complexity |\n| Unexpected high costs | Long average call duration | Add conversation time limits in agent config |\n| No webhook events | Endpoint unreachable | Verify webhook URL and SSL certificate |\n\n## Examples\n\n**Basic usage**: Apply retellai observability to a standard project setup with default configuration options.\n\n**Advanced scenario**: Customize retellai observability for production environments with multiple constraints and team-specific requirements.\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale\n\n## Resources\n\n- Official monitoring documentation\n- Community best practices and patterns\n- Related skills in this plugin pack","# Retell AI Observability\n\n## Overview\nMonitor Retell AI voice agent performance, call quality, and costs. Key signals include call completion rate (successful conversations vs dropped\u002Ffailed calls), average call duration, latency between user speech and agent response (conversational latency), per-minute cost tracking, and agent-level success metrics (did the voice agent accomplish its goal).\n\n## Prerequisites\n- Retell AI account with active voice agents\n- API access for call data queries\n- Webhook endpoint for real-time call events\n\n## Instructions\n\n### Step 1: Monitor Call Quality via Webhooks\n```typescript\n\u002F\u002F retell-webhook-handler.ts\napp.post('\u002Fwebhooks\u002Fretell', (req, res) => {\n  const { call_id, agent_id, status, duration_seconds, cost_usd, disconnect_reason } = req.body;\n\n  emitCounter('retell_calls_total', 1, { agent: agent_id, status });\n  emitHistogram('retell_call_duration_sec', duration_seconds, { agent: agent_id });\n  emitCounter('retell_cost_usd', cost_usd, { agent: agent_id });\n\n  if (disconnect_reason === 'agent_error' || disconnect_reason === 'system_error') {\n    emitCounter('retell_call_errors_total', 1, { agent: agent_id, reason: disconnect_reason });\n  }\n\n  res.sendStatus(200);  # HTTP 200 OK\n});\n```\n\n### Step 2: Track Conversational Latency\n```bash\nset -euo pipefail\n# Query recent calls for response latency metrics\ncurl \"https:\u002F\u002Fapi.retellai.com\u002Fv1\u002Fcalls?limit=20&sort=-created_at\" \\\n  -H \"Authorization: Bearer $RETELL_API_KEY\" | \\\n  jq '.[] | {\n    call_id, agent_name, duration_sec: .duration,\n    avg_response_latency_ms: .avg_agent_response_latency_ms,\n    cost_usd: .cost,\n    disconnect_reason\n  }'\n```\n\n### Step 3: Monitor Per-Agent Performance\n```typescript\n\u002F\u002F Track which agents are performing well vs poorly\nasync function agentPerformanceReport() {\n  const agents = await retellApi.listAgents();\n  for (const agent of agents) {\n    const calls = await retellApi.listCalls({ agent_id: agent.agent_id, limit: 100 });\n    const completed = calls.filter(c => c.status === 'completed').length;\n    const avgDuration = calls.reduce((s, c) => s + c.duration, 0) \u002F calls.length;\n    const totalCost = calls.reduce((s, c) => s + c.cost, 0);\n\n    emitGauge('retell_agent_completion_rate', completed \u002F calls.length * 100, { agent: agent.agent_name });\n    emitGauge('retell_agent_avg_duration_sec', avgDuration, { agent: agent.agent_name });\n    emitGauge('retell_agent_total_cost_usd', totalCost, { agent: agent.agent_name });\n  }\n}\n```\n\n### Step 4: Alert on Voice Quality Issues\n```yaml\ngroups:\n  - name: retell\n    rules:\n      - alert: RetellHighDropRate\n        expr: rate(retell_calls_total{status=\"failed\"}[1h]) \u002F rate(retell_calls_total[1h]) > 0.1\n        annotations: { summary: \"Retell call failure rate exceeds 10%\" }\n      - alert: RetellHighLatency\n        expr: histogram_quantile(0.95, rate(retell_response_latency_ms_bucket[1h])) > 2000  # 2000: 2 seconds in ms\n        annotations: { summary: \"Retell agent response latency P95 exceeds 2 seconds\" }\n      - alert: RetellCostSpike\n        expr: increase(retell_cost_usd[1h]) > 50\n        annotations: { summary: \"Retell voice costs exceed $50\u002Fhour\" }\n      - alert: RetellShortCalls\n        expr: histogram_quantile(0.25, rate(retell_call_duration_sec_bucket[1h])) \u003C 10\n        annotations: { summary: \"25% of calls ending in \u003C10 seconds (agent issue?)\" }\n```\n\n### Step 5: Dashboard Panels\nTrack: call volume by agent, call completion rate (pie chart), duration distribution, per-minute cost trend, conversational latency p50\u002Fp95, disconnect reasons breakdown, and daily cost by agent. Short calls (\u003C10s) often indicate agent prompt issues where the bot fails to engage.\n\n## Error Handling\n| Issue | Cause | Solution |\n|-------|-------|----------|\n| High call drop rate | Agent prompt causing hang-ups | Review and simplify agent greeting prompt |\n| Latency >2 seconds | LLM response slow | Use faster model or reduce prompt complexity |\n| Unexpected high costs | Long average call duration | Add conversation time limits in agent config |\n| No webhook events | Endpoint unreachable | Verify webhook URL and SSL certificate |\n\n## Examples\n\n**Basic usage**: Apply retellai observability to a standard project setup with default configuration options.\n\n**Advanced scenario**: Customize retellai observability for production environments with multiple constraints and team-specific requirements.\n\n## Output\n\n- Configuration files or code changes applied to the project\n- Validation report confirming correct implementation\n- Summary of changes made and their rationale\n\n## Resources\n\n- Official monitoring documentation\n- Community best practices and patterns\n- Related skills in this plugin pack",{"name":5,"author":43,"license":14,"version":44,"description":45,"allowed-tools":46,"compatible-with":47},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Set up comprehensive observability for Retell AI integrations with metrics, traces, and alerts.\nUse when implementing monitoring for Retell AI operations, setting up dashboards,\nor configuring alerting for Retell AI integration health.\nTrigger with phrases like \"retellai monitoring\", \"retellai metrics\",\n\"retellai observability\", \"monitor retellai\", \"retellai alerts\", \"retellai tracing\".\n","Read, Write, Edit","claude-code, codex, openclaw","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","claude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fretellai-pack\u002Fskills\u002Fretellai-observability",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add micsapp\u002Fmicstec-skills --skill retellai-observability",{"tool":61,"command":62},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill retellai-observability",{"tool":64,"command":65},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill retellai-observability","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Fretellai-pack\u002Fskills\u002Fretellai-observability\u002FSKILL.md",true,[],[70,106,134,154,174,199],{"skillNo":71,"name":72,"nameZh":6,"description":73,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":74,"categories":75,"keywords":86,"publishedAt":38},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. 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