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Found 46 Skills
Set org-wide revenue data governance policy - which system is source of truth per object class (account, contact, opportunity, subscription, usage event, revenue metrics), how cross-team data contracts bind producers to consumers, where revenue metric definitions live, and who arbitrates disputes. Produces a per-object SOR/SOT designation table, an identity-resolution spine, a data-contract register, and a federated ownership model. Use whenever the user mentions source of truth, "two ARR numbers", GTM data contracts, revenue data governance, metric definition ownership, or "finance and sales report different numbers" - even if they never say "governance". Covers B2B, PLG/B2C, hybrid. Do NOT use for CRM field-level rules - use mbfinotti/revops-skills@crm-data-governance instead.
Design and operate CRM field-level governance - who owns each CRM field, which system is authoritative for it, how often it must be refreshed, and how the rules are enforced. Produces a field dictionary, per-field ownership, a system-of-record map with write-precedence and conflict rules, freshness SLAs, an enforcement plan, a field lifecycle, and a governance cadence. Use whenever the user mentions field ownership, single source of truth, system of record per field, data dictionary, stale CRM data, custom field sprawl, "which system wins", or "our CRM fields contradict each other" - even if they never say "governance". Covers B2B and B2C. Do NOT use for org-wide, object-level source-of-truth policy - use mbfinotti/revops-skills@revenue-data-governance-strategy instead.
Use when implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata management, data quality, and complianceUse when ", " mentioned.
Use when academic research involves human subjects, public web data, platform scraping, sensitive domains, privacy risk, dataset sharing, consent, IRB, licenses, or data retention.
Select, integrate, and operate multi-model image-generation gateways with model-specific schema discovery, version policy, asynchronous jobs, webhooks, spend approval, safe inputs and artifacts, data-governance review, and billing observability. Use for comparing or building against fal.ai, Replicate, or Together AI image APIs, including controlled failover; do not use for direct model-provider APIs, local inference, training, dedicated endpoint provisioning, video generation, or general image editing.
Use this skill when a media-production agent needs Google Cloud speech and voice services for transcription, captions/subtitles, long-form audio analysis, live caption planning, Text-to-Speech narration, Chirp 3 / Gemini-TTS voice selection, consented custom voice workflows, dubbing/localization planning, pricing/quotas/region checks, or speech-related safety and data-governance decisions.
Build and evaluate low-latency spoken, multimodal, and translation experiences with Google Gemini Live API and Gemini Enterprise Agent Platform Live API. Use when a media-production or voice-agent workflow needs real-time audio input/output, barge-in, voice configuration, live transcription, live translation, tool/function calling during a spoken session, WebSocket session design, latency QA, quotas/cost review, or Google/Vertex data-governance tradeoffs.
Use MiniMax's first-party Hailuo video API safely and reproducibly across global and mainland-China platforms. Covers current text-to-video, image-to-video, first/last-frame, and subject-reference models; prompt and camera craft; region/account routing; exact cost approval; asynchronous jobs and callbacks; artifact provenance; and rights, likeness, disclosure, and data-governance review. Use when designing, implementing, debugging, or evaluating direct MiniMax/Hailuo video-generation API workflows. Do not use for the consumer Hailuo site, Video Agent templates, gateways, or unrelated MiniMax modalities.
Source of truth for event taxonomy generation, data auditing, and governance best practices in Amplitude. Use when an agent needs to create, validate, audit, score, or recommend improvements to event tracking plans, naming conventions, property standards, data quality, or deprecation workflows. Covers naming rules, property standards, scoring frameworks, safe metadata operations, deprecation procedures, and AI readiness guidance.
Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata quality analysis. Applies when querying catalog inventory, finding assets without descriptions, comparing catalog snapshots, or auditing data ownership. Trigger phrases: catalog inventory SQL, how many assets, assets without descriptions, asset growth over time, who owns this data, catalog governance, data quality audit, catalog analytics.
Manage data programs, governance operations, and data reliability. Cover data roadmaps, stakeholder coordination, metadata stewardship, lifecycle management, monitoring, incident response, capacity planning, and SLA frameworks. Triggers on "manage data team", "data roadmap", "governance review", "data incident", "SLA framework", "data ops", "stewardship", "data product delivery", or "data KPIs". Human annotation/labeling platform PM: product-management-human-data-platform.
Guide developers at OctoCAT Supply to build applications that are secure and compliant by design. You are an expert specializing in software compliance, privacy, and security.