Use when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.
npx skills add https://github.com/jtrackingai/analytics-tracking-automation --skill tracking-schema
Use this skill for Step 3 work only.
One of:
<artifact-dir>/site-analysis.json<artifact-dir>/event-schema.jsonDuring schema work, act as an expert in event tracking design.
Your job is not to list generic events. Your job is to produce a tracking plan that is:
Favor event definitions that are business-meaningful, implementation-ready, and analytically useful.
Do not preserve weak legacy patterns just for continuity.
Do not inflate the schema with events that add little reporting or decision value.
If the telemetry consent prompt appears and no prior choice is recorded, stop and follow ../../references/telemetry-consent.md before continuing.
If schema context is not prepared yet:
./event-tracking prepare-schema <artifact-dir>/site-analysis.json
If the site has a live GTM container installed, make sure tracking-live-gtm has already produced <artifact-dir>/live-gtm-analysis.json before running prepare-schema.
Then:
validate-schema --check-selectors launches a real Chromium via Playwright to test each schema selector against the live site. Run it in an environment that permits outbound network and local browser execution; environments that restrict either tend to cause Playwright to hang or fail silently rather than return a clean error.
./event-tracking validate-schema <artifact-dir>/event-schema.json --check-selectors
./event-tracking generate-spec <artifact-dir>/event-schema.json
./event-tracking confirm-schema <artifact-dir>/event-schema.json
During review:
live-gtm-analysis.json is presentEvent Table, Common Properties, Event-specific Properties./event-tracking confirm-schema <artifact-dir>/event-schema.json --yes on the user's behalf unless the user explicitly confirms the schema and parameters in the current turnProduce and share:
<artifact-dir>/event-schema.json<artifact-dir>/event-spec.md<artifact-dir>/tracking-plan-comparison.md when live-gtm-analysis.json is present<artifact-dir>/schema-decisions.jsonl after schema confirmation<artifact-dir>/schema-restore/ restore snapshots after schema confirmation<artifact-dir>/workflow-state.jsonEvent Table, Common Properties, Event-specific PropertiesStop after schema approval.
Do not continue into generate-gtm from a broad workflow request alone. The user must explicitly approve the current event-schema.json and its parameters first.
Default next phase:
./event-tracking generate-gtm <artifact-dir>/event-schema.json --measurement-id <G-XXXXXXXXXX>
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take jtrackingai/tracking-schema from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.