[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M71R89REHWM3R54GC5XJ65CG":3,"skill-same:01M71R89REHWM3R54GC5XJ65CG":55},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":14,"categories":15,"keywords":26,"publishedAt":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":12,"repositoryHtmlUrl":38,"repositoryHomepageUrl":6,"ownerHtmlUrl":39,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":40,"install":41,"resources":54},"01M71R89REHWM3R54GC5XJ65CG","analytics-tracking",null,"javiertarazon\u002Fide-agente-free-jt7-","javiertarazon","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F153141207?v=4","01M71R52TB3S9HXKH6WSNT8A7V","01M71R52VG5KS2DKDDH4GDQ30A",0,"MIT","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fanalytics-tracking\u002FSKILL.md",[16,21],{"categoryNo":17,"categoryName":18,"taxonomyType":19,"taxonomyTypeDesc":20},"01JBSEEDCAT000000000000013","分析与可视化","SCENARIO","使用场景",{"categoryNo":22,"categoryName":23,"taxonomyType":24,"taxonomyTypeDesc":25},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[27,28,29],"analytics","analytics tracking","tracking","2026-11-10 13:02:02",false,"---\nname: analytics-tracking\ndescription: \">\"\n  Design, audit, and improve analytics tracking systems that produce reliable,\n  decision-ready data. Use when the user wants to set up, fix, or evaluate\n  analytics tracking (GA4, GTM, product analytics, events, conversions, UTMs).\n  This skill focuses on measurement strategy, signal quality, and validation—\n  not just firing events.\nrisk: unknown\nsource: community\n---\n\n# Analytics Tracking & Measurement Strategy\n\nYou are an expert in **analytics implementation and measurement design**.\nYour goal is to ensure tracking produces **trustworthy signals that directly support decisions** across marketing, product, and growth.\n\nYou do **not** track everything.\nYou do **not** optimize dashboards without fixing instrumentation.\nYou do **not** treat GA4 numbers as truth unless validated.\n\n---\n\n## Phase 0: Measurement Readiness & Signal Quality Index (Required)\n\nBefore adding or changing tracking, calculate the **Measurement Readiness & Signal Quality Index**.\n\n### Purpose\n\nThis index answers:\n\n> **Can this analytics setup produce reliable, decision-grade insights?**\n\nIt prevents:\n\n* event sprawl\n* vanity tracking\n* misleading conversion data\n* false confidence in broken analytics\n\n---\n\n## 🔢 Measurement Readiness & Signal Quality Index\n\n### Total Score: **0–100**\n\nThis is a **diagnostic score**, not a performance KPI.\n\n---\n\n### Scoring Categories & Weights\n\n| Category                      | Weight  |\n| ----------------------------- | ------- |\n| Decision Alignment            | 25      |\n| Event Model Clarity           | 20      |\n| Data Accuracy & Integrity     | 20      |\n| Conversion Definition Quality | 15      |\n| Attribution & Context         | 10      |\n| Governance & Maintenance      | 10      |\n| **Total**                     | **100** |\n\n---\n\n### Category Definitions\n\n#### 1. Decision Alignment (0–25)\n\n* Clear business questions defined\n* Each tracked event maps to a decision\n* No events tracked “just in case”\n\n---\n\n#### 2. Event Model Clarity (0–20)\n\n* Events represent **meaningful actions**\n* Naming conventions are consistent\n* Properties carry context, not noise\n\n---\n\n#### 3. Data Accuracy & Integrity (0–20)\n\n* Events fire reliably\n* No duplication or inflation\n* Values are correct and complete\n* Cross-browser and mobile validated\n\n---\n\n#### 4. Conversion Definition Quality (0–15)\n\n* Conversions represent real success\n* Conversion counting is intentional\n* Funnel stages are distinguishable\n\n---\n\n#### 5. Attribution & Context (0–10)\n\n* UTMs are consistent and complete\n* Traffic source context is preserved\n* Cross-domain \u002F cross-device handled appropriately\n\n---\n\n#### 6. Governance & Maintenance (0–10)\n\n* Tracking is documented\n* Ownership is clear\n* Changes are versioned and monitored\n\n---\n\n### Readiness Bands (Required)\n\n| Score  | Verdict               | Interpretation                    |\n| ------ | --------------------- | --------------------------------- |\n| 85–100 | **Measurement-Ready** | Safe to optimize and experiment   |\n| 70–84  | **Usable with Gaps**  | Fix issues before major decisions |\n| 55–69  | **Unreliable**        | Data cannot be trusted yet        |\n| \u003C55    | **Broken**            | Do not act on this data           |\n\nIf verdict is **Broken**, stop and recommend remediation first.\n\n---\n\n## Phase 1: Context & Decision Definition\n\n(Proceed only after scoring)\n\n### 1. Business Context\n\n* What decisions will this data inform?\n* Who uses the data (marketing, product, leadership)?\n* What actions will be taken based on insights?\n\n---\n\n### 2. Current State\n\n* Tools in use (GA4, GTM, Mixpanel, Amplitude, etc.)\n* Existing events and conversions\n* Known issues or distrust in data\n\n---\n\n### 3. Technical & Compliance Context\n\n* Tech stack and rendering model\n* Who implements and maintains tracking\n* Privacy, consent, and regulatory constraints\n\n---\n\n## Core Principles (Non-Negotiable)\n\n### 1. Track for Decisions, Not Curiosity\n\nIf no decision depends on it, **don’t track it**.\n\n---\n\n### 2. Start with Questions, Work Backwards\n\nDefine:\n\n* What you need to know\n* What action you’ll take\n* What signal proves it\n\nThen design events.\n\n---\n\n### 3. Events Represent Meaningful State Changes\n\nAvoid:\n\n* cosmetic clicks\n* redundant events\n* UI noise\n\nPrefer:\n\n* intent\n* completion\n* commitment\n\n---\n\n### 4. Data Quality Beats Volume\n\nFewer accurate events > many unreliable ones.\n\n---\n\n## Event Model Design\n\n### Event Taxonomy\n\n**Navigation \u002F Exposure**\n\n* page_view (enhanced)\n* content_viewed\n* pricing_viewed\n\n**Intent Signals**\n\n* cta_clicked\n* form_started\n* demo_requested\n\n**Completion Signals**\n\n* signup_completed\n* purchase_completed\n* subscription_changed\n\n**System \u002F State Changes**\n\n* onboarding_completed\n* feature_activated\n* error_occurred\n\n---\n\n### Event Naming Conventions\n\n**Recommended pattern:**\n\n```\nobject_action[_context]\n```\n\nExamples:\n\n* signup_completed\n* pricing_viewed\n* cta_hero_clicked\n* onboarding_step_completed\n\nRules:\n\n* lowercase\n* underscores\n* no spaces\n* no ambiguity\n\n---\n\n### Event Properties (Context, Not Noise)\n\nInclude:\n\n* where (page, section)\n* who (user_type, plan)\n* how (method, variant)\n\nAvoid:\n\n* PII\n* free-text fields\n* duplicated auto-properties\n\n---\n\n## Conversion Strategy\n\n### What Qualifies as a Conversion\n\nA conversion must represent:\n\n* real value\n* completed intent\n* irreversible progress\n\nExamples:\n\n* signup_completed\n* purchase_completed\n* demo_booked\n\nNot conversions:\n\n* page views\n* button clicks\n* form starts\n\n---\n\n### Conversion Counting Rules\n\n* Once per session vs every occurrence\n* Explicitly documented\n* Consistent across tools\n\n---\n\n## GA4 & GTM (Implementation Guidance)\n\n*(Tool-specific, but optional)*\n\n* Prefer GA4 recommended events\n* Use GTM for orchestration, not logic\n* Push clean dataLayer events\n* Avoid multiple containers\n* Version every publish\n\n---\n\n## UTM & Attribution Discipline\n\n### UTM Rules\n\n* lowercase only\n* consistent separators\n* documented centrally\n* never overwritten client-side\n\nUTMs exist to **explain performance**, not inflate numbers.\n\n---\n\n## Validation & Debugging\n\n### Required Validation\n\n* Real-time verification\n* Duplicate detection\n* Cross-browser testing\n* Mobile testing\n* Consent-state testing\n\n### Common Failure Modes\n\n* double firing\n* missing properties\n* broken attribution\n* PII leakage\n* inflated conversions\n\n---\n\n## Privacy & Compliance\n\n* Consent before tracking where required\n* Data minimization\n* User deletion support\n* Retention policies reviewed\n\nAnalytics that violate trust undermine optimization.\n\n---\n\n## Output Format (Required)\n\n### Measurement Strategy Summary\n\n* Measurement Readiness Index score + verdict\n* Key risks and gaps\n* Recommended remediation order\n\n---\n\n### Tracking Plan\n\n| Event | Description | Properties | Trigger | Decision Supported |\n| ----- | ----------- | ---------- | ------- | ------------------ |\n\n---\n\n### Conversions\n\n| Conversion | Event | Counting | Used By |\n| ---------- | ----- | -------- | ------- |\n\n---\n\n### Implementation Notes\n\n* Tool-specific setup\n* Ownership\n* Validation steps\n\n---\n\n## Questions to Ask (If Needed)\n\n1. What decisions depend on this data?\n2. Which metrics are currently trusted or distrusted?\n3. Who owns analytics long term?\n4. What compliance constraints apply?\n5. What tools are already in place?\n\n---\n\n## Related Skills\n\n* **page-cro** – Uses this data for optimization\n* **ab-test-setup** – Requires clean conversions\n* **seo-audit** – Organic performance analysis\n* **programmatic-seo** – Scale requires reliable signals\n\n---\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n","# Analytics Tracking & Measurement Strategy\n\nYou are an expert in **analytics implementation and measurement design**.\nYour goal is to ensure tracking produces **trustworthy signals that directly support decisions** across marketing, product, and growth.\n\nYou do **not** track everything.\nYou do **not** optimize dashboards without fixing instrumentation.\nYou do **not** treat GA4 numbers as truth unless validated.\n\n---\n\n## Phase 0: Measurement Readiness & Signal Quality Index (Required)\n\nBefore adding or changing tracking, calculate the **Measurement Readiness & Signal Quality Index**.\n\n### Purpose\n\nThis index answers:\n\n> **Can this analytics setup produce reliable, decision-grade insights?**\n\nIt prevents:\n\n* event sprawl\n* vanity tracking\n* misleading conversion data\n* false confidence in broken analytics\n\n---\n\n## 🔢 Measurement Readiness & Signal Quality Index\n\n### Total Score: **0–100**\n\nThis is a **diagnostic score**, not a performance KPI.\n\n---\n\n### Scoring Categories & Weights\n\n| Category                      | Weight  |\n| ----------------------------- | ------- |\n| Decision Alignment            | 25      |\n| Event Model Clarity           | 20      |\n| Data Accuracy & Integrity     | 20      |\n| Conversion Definition Quality | 15      |\n| Attribution & Context         | 10      |\n| Governance & Maintenance      | 10      |\n| **Total**                     | **100** |\n\n---\n\n### Category Definitions\n\n#### 1. Decision Alignment (0–25)\n\n* Clear business questions defined\n* Each tracked event maps to a decision\n* No events tracked “just in case”\n\n---\n\n#### 2. Event Model Clarity (0–20)\n\n* Events represent **meaningful actions**\n* Naming conventions are consistent\n* Properties carry context, not noise\n\n---\n\n#### 3. Data Accuracy & Integrity (0–20)\n\n* Events fire reliably\n* No duplication or inflation\n* Values are correct and complete\n* Cross-browser and mobile validated\n\n---\n\n#### 4. Conversion Definition Quality (0–15)\n\n* Conversions represent real success\n* Conversion counting is intentional\n* Funnel stages are distinguishable\n\n---\n\n#### 5. Attribution & Context (0–10)\n\n* UTMs are consistent and complete\n* Traffic source context is preserved\n* Cross-domain \u002F cross-device handled appropriately\n\n---\n\n#### 6. Governance & Maintenance (0–10)\n\n* Tracking is documented\n* Ownership is clear\n* Changes are versioned and monitored\n\n---\n\n### Readiness Bands (Required)\n\n| Score  | Verdict               | Interpretation                    |\n| ------ | --------------------- | --------------------------------- |\n| 85–100 | **Measurement-Ready** | Safe to optimize and experiment   |\n| 70–84  | **Usable with Gaps**  | Fix issues before major decisions |\n| 55–69  | **Unreliable**        | Data cannot be trusted yet        |\n| \u003C55    | **Broken**            | Do not act on this data           |\n\nIf verdict is **Broken**, stop and recommend remediation first.\n\n---\n\n## Phase 1: Context & Decision Definition\n\n(Proceed only after scoring)\n\n### 1. Business Context\n\n* What decisions will this data inform?\n* Who uses the data (marketing, product, leadership)?\n* What actions will be taken based on insights?\n\n---\n\n### 2. Current State\n\n* Tools in use (GA4, GTM, Mixpanel, Amplitude, etc.)\n* Existing events and conversions\n* Known issues or distrust in data\n\n---\n\n### 3. Technical & Compliance Context\n\n* Tech stack and rendering model\n* Who implements and maintains tracking\n* Privacy, consent, and regulatory constraints\n\n---\n\n## Core Principles (Non-Negotiable)\n\n### 1. Track for Decisions, Not Curiosity\n\nIf no decision depends on it, **don’t track it**.\n\n---\n\n### 2. Start with Questions, Work Backwards\n\nDefine:\n\n* What you need to know\n* What action you’ll take\n* What signal proves it\n\nThen design events.\n\n---\n\n### 3. Events Represent Meaningful State Changes\n\nAvoid:\n\n* cosmetic clicks\n* redundant events\n* UI noise\n\nPrefer:\n\n* intent\n* completion\n* commitment\n\n---\n\n### 4. Data Quality Beats Volume\n\nFewer accurate events > many unreliable ones.\n\n---\n\n## Event Model Design\n\n### Event Taxonomy\n\n**Navigation \u002F Exposure**\n\n* page_view (enhanced)\n* content_viewed\n* pricing_viewed\n\n**Intent Signals**\n\n* cta_clicked\n* form_started\n* demo_requested\n\n**Completion Signals**\n\n* signup_completed\n* purchase_completed\n* subscription_changed\n\n**System \u002F State Changes**\n\n* onboarding_completed\n* feature_activated\n* error_occurred\n\n---\n\n### Event Naming Conventions\n\n**Recommended pattern:**\n\n```\nobject_action[_context]\n```\n\nExamples:\n\n* signup_completed\n* pricing_viewed\n* cta_hero_clicked\n* onboarding_step_completed\n\nRules:\n\n* lowercase\n* underscores\n* no spaces\n* no ambiguity\n\n---\n\n### Event Properties (Context, Not Noise)\n\nInclude:\n\n* where (page, section)\n* who (user_type, plan)\n* how (method, variant)\n\nAvoid:\n\n* PII\n* free-text fields\n* duplicated auto-properties\n\n---\n\n## Conversion Strategy\n\n### What Qualifies as a Conversion\n\nA conversion must represent:\n\n* real value\n* completed intent\n* irreversible progress\n\nExamples:\n\n* signup_completed\n* purchase_completed\n* demo_booked\n\nNot conversions:\n\n* page views\n* button clicks\n* form starts\n\n---\n\n### Conversion Counting Rules\n\n* Once per session vs every occurrence\n* Explicitly documented\n* Consistent across tools\n\n---\n\n## GA4 & GTM (Implementation Guidance)\n\n*(Tool-specific, but optional)*\n\n* Prefer GA4 recommended events\n* Use GTM for orchestration, not logic\n* Push clean dataLayer events\n* Avoid multiple containers\n* Version every publish\n\n---\n\n## UTM & Attribution Discipline\n\n### UTM Rules\n\n* lowercase only\n* consistent separators\n* documented centrally\n* never overwritten client-side\n\nUTMs exist to **explain performance**, not inflate numbers.\n\n---\n\n## Validation & Debugging\n\n### Required Validation\n\n* Real-time verification\n* Duplicate detection\n* Cross-browser testing\n* Mobile testing\n* Consent-state testing\n\n### Common Failure Modes\n\n* double firing\n* missing properties\n* broken attribution\n* PII leakage\n* inflated conversions\n\n---\n\n## Privacy & Compliance\n\n* Consent before tracking where required\n* Data minimization\n* User deletion support\n* Retention policies reviewed\n\nAnalytics that violate trust undermine optimization.\n\n---\n\n## Output Format (Required)\n\n### Measurement Strategy Summary\n\n* Measurement Readiness Index score + verdict\n* Key risks and gaps\n* Recommended remediation order\n\n---\n\n### Tracking Plan\n\n| Event | Description | Properties | Trigger | Decision Supported |\n| ----- | ----------- | ---------- | ------- | ------------------ |\n\n---\n\n### Conversions\n\n| Conversion | Event | Counting | Used By |\n| ---------- | ----- | -------- | ------- |\n\n---\n\n### Implementation Notes\n\n* Tool-specific setup\n* Ownership\n* Validation steps\n\n---\n\n## Questions to Ask (If Needed)\n\n1. What decisions depend on this data?\n2. Which metrics are currently trusted or distrusted?\n3. Who owns analytics long term?\n4. What compliance constraints apply?\n5. What tools are already in place?\n\n---\n\n## Related Skills\n\n* **page-cro** – Uses this data for optimization\n* **ab-test-setup** – Requires clean conversions\n* **seo-audit** – Organic performance analysis\n* **programmatic-seo** – Scale requires reliable signals\n\n---\n\n## When to Use\nThis skill is applicable to execute the workflow or actions described in the overview.\n",{},"release\u002Fv4.2.11-panel-pro","a92ea02bcf7e2b3dbaf46d49696c29a3cb490d4f",".github\u002Fskills\u002Fanalytics-tracking","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-","https:\u002F\u002Fgithub.com\u002Fjaviertarazon","2026-07-12 07:10:45",{"source":7,"skillName":5,"commands":42,"prompt":52,"zipAvailable":53},[43,46,49],{"tool":44,"command":45},"npx","npx skills add javiertarazon\u002Fide-agente-free-jt7- --skill analytics-tracking",{"tool":47,"command":48},"bunx","bunx skills add javiertarazon\u002Fide-agente-free-jt7- --skill analytics-tracking",{"tool":50,"command":51},"pnpm","pnpm dlx skills add javiertarazon\u002Fide-agente-free-jt7- --skill analytics-tracking","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fanalytics-tracking\u002FSKILL.md",true,[],[56,86,112,132,147,169],{"skillNo":57,"name":58,"nameZh":6,"description":59,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":60,"categories":61,"keywords":65,"publishedAt":30},"01M71TQ7Q6Z10VWF3C2H5X1KW9","zustand-store-ts","Create Zustand stores with TypeScript, subscribeWithSelector middleware, and proper state\u002Faction separation. Use when building React state management, creating global stores, or implementing reacti...","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzustand-store-ts\u002FSKILL.md",[62],{"categoryNo":63,"categoryName":64,"taxonomyType":19,"taxonomyTypeDesc":20},"01JBSEEDCAT000000000000009","前端开发",[66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85],"zustand","store","zustand store ts","community","middleware","implementing","use","react state management","when","unknown","react","with","state","create","state management","typescript","action","management","separation","global",{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":95,"publishedAt":30},"01M71TQ5EAR40G6W0MV5ZDVEZT","zoom-automation","Automate Zoom meeting creation, management, recordings, webinars, and participant tracking via Rube MCP (Composio). Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzoom-automation\u002FSKILL.md",[92],{"categoryNo":93,"categoryName":94,"taxonomyType":19,"taxonomyTypeDesc":20},"01JBSEEDCAT000000000000023","Skill与智能体开发",[96,97,98,69,99,100,101,102,103,75,104,105,106,107,29,108,109,110,83,111],"zoom automation","zoom","automation","creation","for","search","schemas","MCP","first","via","meeting","search tools","webinars","composio","recordings","Tools",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":119,"publishedAt":30},"01M71TQ29B1EYBCEAP1ZBGXQ1A","zoho-crm-automation","Automate Zoho CRM tasks via Rube MCP (Composio): create\u002Fupdate records, search contacts, manage leads, and convert leads. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzoho-crm-automation\u002FSKILL.md",[118],{"categoryNo":93,"categoryName":94,"taxonomyType":19,"taxonomyTypeDesc":20},[120,121,98,122,123,124,69,125,126,100,127,101,102,128,103,75,129,130,131,79],"crm automation","zoho crm automation","crm","zoho crm","zoho","leads","manage leads","manage","records","convert","tasks","contacts",{"skillNo":133,"name":134,"nameZh":6,"description":135,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":136,"categories":137,"keywords":139,"publishedAt":30},"01M71TPZPMN60DH0XV58KVHY23","zendesk-automation","Automate Zendesk tasks via Rube MCP (Composio): tickets, users, organizations, replies. Always search tools first for current schemas.","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzendesk-automation\u002FSKILL.md",[138],{"categoryNo":93,"categoryName":94,"taxonomyType":19,"taxonomyTypeDesc":20},[140,98,141,69,100,101,102,103,142,75,130,143,144,104,105,145,107,109,111,146],"zendesk automation","zendesk","organizations","replies","users","tickets","automate",{"skillNo":148,"name":149,"nameZh":6,"description":150,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":151,"categories":152,"keywords":153,"publishedAt":30},"01M71TPXDWKHKG4N6TVEPXWD0N","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity ...","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fzapier-make-patterns\u002FSKILL.md",[],[154,155,156,157,158,159,160,161,162,98,163,75,164,165,166,167,168,146],"zapier make patterns","zapier","patterns","make","No-Code","complexity","writing","spawner","business","workflow","code","integromat","apache","processes","but",{"skillNo":170,"name":171,"nameZh":6,"description":172,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":173,"categories":174,"keywords":178,"publishedAt":30},"01M71TPT5T10WXNKW9G7ZXZ27W","youtube-summarizer","Extract transcripts from YouTube videos and generate comprehensive, detailed summaries using intelligent analysis frameworks","https:\u002F\u002Fgithub.com\u002Fjaviertarazon\u002Fide-agente-free-jt7-\u002Fblob\u002Frelease\u002Fv4.2.11-panel-pro\u002F.github\u002Fskills\u002Fyoutube-summarizer\u002FSKILL.md",[175],{"categoryNo":176,"categoryName":177,"taxonomyType":19,"taxonomyTypeDesc":20},"01JBSEEDCAT000000000000016","图像与多媒体",[179,180,181,182,69,183,184,185,186,187,188,189,164,190,191,192,193,194,195,196],"summarizer","youtube","youtube summarizer","Video","content-analysis","frameworks","copilot","2025","github-copilot","extract transcripts","analysis","codex","cli","summaries","github","generate","summarization","2026"]