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Lightricks
GitHub creator profile

Lightricks

Repository-level view of 19 collected skills across 2 GitHub repositories, including approximate occupation coverage.

skills collected
19
repositories
2
occupation fields
2
updated
2026-05-27
occupation focus
Major fields detected across this creator.
repository explorer

Repositories and representative skills

#001
ltx-analytics-agents
17 skills60updated 2026-05-27
89% of creator
self-serve-analysis
unclassified

Adds the analyst layer (segmentation framing, filter/KPI surfacing, LTX-specific definitions, contextual follow-ups) on top of any Data MasterMind data interaction for LTX stakeholders (PMs, marketers, design, leadership). Wraps `get-data` / `validate-data` / `understand-data` / `visualize-data` — dialing intensity from a full guided session (for "look into X", "investigate Y", "do an analysis of …") down to a compressed wrap (for "what's MRR?", "is this number right?"). Output mode (chat-only or HTML artifact) is chosen up front for session-style asks. Always asks about Enterprise / paid non-Enterprise / Free segmentation and Studio-feature tier-gating when relevant. Do NOT use only when the user explicitly opts out ("just give me the number, no extras") or for templated feature dashboards (that's the Hex-based `dashboard-builder`).

2026-05-27
ltx-leadership-weekly-report
Market Research Analysts & Marketing Specialists

Generate the LTX weekly leadership Slack post covering Open Source (HuggingFace LTX-2 family), API (revenue, endpoints, leads, industries), and Studio Enterprise (contracts, pilots, LTX-model consumption share). Runs every Monday via n8n: BigQuery → JSON parse → Slack render → LLM TL;DR → Slack webhook. Use when: weekly exec update, leadership Slack channel automation, or when asked for 'last week's LTX numbers'.

2026-05-12
build-data-spec
Database Architects

Build a structured data spec document for analytics topics by exploring the dbt codebase, identifying relevant events/models/columns, and producing a ready-to-use markdown reference. Use when: (1) starting a new data analysis, (2) documenting events for a feature or domain, (3) creating a reference for an agent or analyst.

2026-04-16
ltx-marketing-daily-report
Market Research Analysts & Marketing SpecialistsData Scientists

Generate LTX Studio marketing & sales daily report with lead gen, spend, PELs/PQLs, sales metrics, and top org usage vs 7-day averages. Use when: daily marketing standup, GTM review, or when asked for 'marketing numbers' or 'lead performance'.

2026-03-25
ltx-product-daily-report
Market Research Analysts & Marketing Specialists

Generate LTX Studio product daily report with revenue, usage by segment (Enterprise, Pilot, Paying Non-Enterprise, Free), and DoD/DOW-avg comparisons. Use when: daily product standup, executive reporting, or when asked for 'yesterday's product numbers'.

2026-03-25
ltx-sales-daily-report
Software Developers

Generate LTX Studio sales opportunities report and credit limit alerts. Covers pipeline by rep/product (yesterday + QTD), new PELs/PQLs, future meetings, and enterprise orgs at 80%+ token usage. Use when: sales standup, pipeline review, account health check, or when asked for 'sales numbers' or 'credit alerts'.

2026-03-23
monitoring
Software Developers

Monitors key metrics and sends alerts for revenue, usage, enterprise accounts, backend costs, and API runtime. Routes requests to specialized monitoring sub-agents.

2026-03-23
usage-monitor
Data Scientists

Monitor LTX Studio product usage metrics with statistical anomaly detection. Detects data spikes (increases or decreases) in DAU, generations, and token consumption. Use when: (1) daily monitoring and detecting usage anomalies, (2) alerting on segment-specific changes, (3) investigating root causes of engagement shifts.

2026-03-10
Showing top 8 of 17 collected skills in this repository.
#002
LTX-Desktop
2 skills1.6k342updated 2026-04-02
11% of creator
Showing 2 of 2 repositories
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