analytics-tracking-automation
Use when you need GA4 + GTM tracking delivery from site discovery through publish, or when the right phase entry point is still unclear.
DeepseekModel
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质量 优秀 · 78
v1.0.0
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标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name analytics-tracking-automation description Use when you need GA4 + GTM tracking delivery from site discovery through publish, or when the right phase entry point is still unclear. compatibility Requires Node.js 18+, npm, and Playwright Chromium for browser-backed steps. analyze, validate-schema --check-selectors, preview, and sync each launch a real Chromium and/or call Google's GTM API, so they need outbound HTTP, local browser execution, and (for sync) a local loopback callback on 127.0.0.1 to receive Google's OAuth consent redirect. Run them in an environment that provides those capabilities. sync uses Google's interactive OAuth consent screen; the resulting user-owned refresh token is stored under the artifact directory and read locally by sync, preview, and publish when they call the official GTM API. A minimal anonymous startup signal is sent when the CLI command begins so operators can measure active usage. Richer anonymous diagnostics remain opt-in, are used only to improve the skill experience and workflow quality, and are not used for sensitive actions or sensitive behavior tracking. Analytics Tracking Automation Use this skill as the end-to-end coordinator for GA4 + GTM tracking delivery. Use it when: the user needs a full GA4 + GTM implementation flow, from analysis to go-live readiness the request spans multiple workflow phases (discovery, schema, sync, verification, publish) the correct entry point is still unclear and you need this skill to route to the right phase Do not assume the user wants the full workflow. Auto-Update This installed root skill can self-check for newer GitHub versions before you continue. Before doing any task in this bundle: Resolve the directory that contains this installed SKILL.md . Installer-managed copies usually live under the skills directory configured by your agent environment, such as $CODEX_HOME/skills/analytics-tracking-automation or an equivalent runtime-managed path. Run node "<bundle-dir>/runtime/skill-runtime/update-check.mjs" --json . If the result status is update_available , immediately run node "<bundle-dir>/runtime/skill-runtime/self-update.mjs" --apply . If the update succeeds, read <bundle-dir>/SKILL.md again before continuing so you are using the refreshed instructions. If the result status is disabled , treat this bundle as a local development link or repo checkout and continue without updating. Skill Family The skill family is split into one umbrella skill plus seven phase skills: tracking-discover for crawl coverage, platform detection, and fresh artifact bootstrap tracking-group for page-group authoring and approval tracking-live-gtm for auditing the real live GTM runtime before schema generation tracking-schema for schema preparation, review, validation, and approval tracking-sync for GTM config generation and sync tracking-verify for preview QA and optional publish handoff tracking-shopify for Shopify-specific schema, sync, install, and verification rules If the request is already bounded to one phase and that phase skill is available, route there instead of inlining the full runbook here. Once site-analysis.json indicates Shopify, keep discovery and grouping shared, then let tracking-shopify own the Shopify-specific branch. Shared Contract Use the repo-local wrapper ./event-tracking in this repository. If dist/cli.js is missing, run npm run build first. For public/ClawHub installs, you must run this first before any event-tracking command: npx skills add jtrackingai/analytics-tracking-automation . Keep one artifact directory per site at <output-root>/<url-slug> . If the user already provides an artifact directory or one of its files, resume from the earliest unmet prerequisite instead of restarting from analyze . Use ./event-tracking status <artifact-dir-or-file> whenever the current checkpoint or next step is unclear. Use ./event-tracking runs <output-root> when the artifact directory is unknown but the output root is known. Prefer high-level entry commands for user-facing flows: run-new-setup , run-tracking-update , run-upkeep , run-health-audit . Telemetry consent is a required user-choice checkpoint for richer diagnostics. If consent is unanswered when any workflow command surfaces the prompt, stop and follow telemetry-consent.md as the single-source interaction contract. Never decide yes / no on the user's behalf, and continue through the interactive prompt so the local config records their choice. Explain the purpose, what yes does, what no does, and the remaining privacy tradeoff before asking the user to reply yes or no . Do not ask a bare yes / no question with no context. Treat workflow mode metadata as an internal workflow-state layer, not a user-facing command surface. analyze , validate-schema --check-selectors , preview , and sync each need outbound HTTP and a real Chromium; sync additionally needs a local loopback callback on 127.0.0.1 for Google's OAuth consent redirect. Run them in an environment that permits those capabilities so Playwright and the OAuth callback can complete. Run prompt-driven GTM sync with an interactive TTY from the start unless exact --account-id , --container-id , and --workspace-id values are already confirmed. Never auto-select a GTM account, container, or workspace on the user's behalf. Do not continue past the phase boundary the user asked for. Conversation Intake When the user enters through chat and has not yet provided a bounded phase, artifact directory, or exact command, start with an intent-first intake. Classify the request into one of these entry intents: resume_existing_run : the user already has an artifact directory or one of its files; inspect the artifacts and use status new_setup : net-new tracking implementation from scratch; prefer run-new-setup , then follow its recommended next step tracking_update : revise or extend an existing implementation; prefer run-tracking-update upkeep : routine maintenance, review, or incremental QA on an existing setup; prefer run-upkeep tracking_health_audit : audit-only assessment of current live tracking; prefer run-health-audit analysis_only : crawl/bootstrap/discovery only without committing to the full workflow yet; route to tracking-discover and stop after analyze Rules: Do not ask the user to choose between internal workflow metadata flags and analyze . If intent is ambiguous, ask one short plain-language intake question using user-facing terms such as "new setup", "update existing tracking", "upkeep", "health audit", "analyze only", or "resume an existing run". If the user gives a fresh URL and asks to set up tracking, default to new_setup . If the user gives a fresh URL and only asks to inspect the site, analyze structure, or review current tracking signals, default to analysis_only . If the user gives an artifact directory or workflow file, default to resume_existing_run instead of restarting from analyze . Routing Rules Route by user intent and current artifacts: fresh URL, crawl request, or no artifacts yet: start with tracking-discover site-analysis.json with missing or unconfirmed pageGroups : route to tracking-group confirmed site-analysis.json with detected live GTM container IDs but no live baseline review yet: route to tracking-live-gtm confirmed site-analysis.json or an in-progress event-schema.json : route to tracking-schema approved event-schema.json without gtm-config.json : route to tracking-sync for generate-gtm gtm-config.json : route to tracking-sync gtm-context.json : route to tracking-verify , with publish treated as a separate explicit action Shopify platform confirmation: keep shared early stages, then hand off to tracking-shopify If only the root skill is available, follow the same routing logic directly and stop at the matching phase boundary. Stop Rules Do not bypass page-group approval before prepare-schema . For key decision checkpoints, always require explicit user confirmation before continuing: pageGroups (before confirm-page-groups and before prepare-schema ) event-schema.json (before confirm-schema and before generate-gtm ) GTM target selection (account/container/workspace during sync ) publish decision (before publish ) If confirmation is missing or ambiguous, stop and ask; do not auto-proceed. Treat telemetry consent the same way as other explicit approval gates: if the user has not chosen yes or no , stop and ask instead of making the decision for them. A broad request such as "full workflow", "全流程", "end-to-end", or "continue all the way" is scope authorization only. It does not count as checkpoint approval. Never record checkpoint approval on the user's behalf with confirm-page-groups --yes or confirm-schema --yes unless the user explicitly confirms that checkpoint in the current turn. When live GTM containers are detected on the site, do not bypass the live baseline review before schema generation. Do not bypass schema approval before generate-gtm unless the user explicitly wants --force . Treat preview QA and publish as separate decisions. Treat tracking-health.json as the publish gate; do not jump to publish when health is missing, manual-only, or blocked unless the user explicitly wants --force . Treat Shopify manual verification as the expected path for Shopify runs, not as a fallback error case. Treat tracking_health_audit as an audit-only workflow mode. Do not run GTM deployment actions ( generate-gtm , sync , publish ) unless the user explicitly asks to override. Resume And Closeout When resuming: prefer workflow-state.json when present still inspect the real artifact set if warnings indicate stale gates use status when the next step is unclear When a phase or the full workflow ends, keep the closeout answer-first: lead with a compact, decision-ready summary in plain language do not dump raw JSON, raw URL lists, or artifact inventory before the summary list files, checkpoint, and next command only after the human-readable summary References skill-map.md for the umbrella / phase skill map architecture.md for lifecycle, checkpoints, and resume semantics output-contract.md for artifact files and gate semantics shopify-workflow.md for Shopify-specific branch expectations telemetry-consent.md for the telemetry consent gate wording and behavior contract
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| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |