SIAN
Official@gestaosian · Brazil
Organização de repositórios da SIAN — Centro de Serviços Compartilhados (CSC) do Grupo HP. Administrada pela GTSI.
Agent Skills by SIAN
Showing 15 vetted skills indexed across 1 GitHub repositories.
gestaosiansian-data-correction-policy
Determines correct remediation paths for data errors in BigQuery Raw, Silver, and Gold layers.
gestaosiangtsi-execute
Generates authorized operational artifacts like templates, checklists, scripts, and ticket models incrementally.
gestaosiangtsi-context-restore
Restores previously saved work contexts and recreates active task list entries.
gestaosiansian-data-destination
Determines the correct GCP project destination for new SIAN data sources and dbt models.
gestaosiangtsi-plan
Generates prioritized operational action plans with dependencies, risks, and Freshservice ticket templates.
gestaosiangtsi-analyze
Diagnose operational problems by separating symptoms from root causes before planning.
gestaosiansian-new-system-checklist
Provides a pre-code checklist for adding new data source systems or tables to the SIAN platform.
gestaosiangtsi-brainstorm
Refines fuzzy ideas into approved design specs through incremental questioning.
gestaosiansian-iceberg-setup
Configure BigQuery native or Iceberg Managed ingestion formats for SIAN Raw layer tables.
gestaosiangtsi-context-save
Captures git state, active tasks, decisions, and next steps into a per-author context file.
gestaosiansian-dag-review
Reviews SIAN platform Airflow DAG files against the full factory checklist before commit.
gestaosiangtsi-claude-architect
Analyzes and restructures CLAUDE.md files and .claude/rules with approval-gated changes.
gestaosiangtsi-code-review
Reviews diffs and pull requests against operational governance policies and issues a merge verdict.
gestaosiansian-dag-factory
Creates and reviews Airflow DAGs using SIAN factory patterns with naming and placement conventions.
gestaosiangtsi-status-report
Generates structured period status reports from git log, pull requests, tasks, and saved contexts.
Frequently Asked Questions About SIAN
FAQPage SchemaWhat tasks can I perform using SIAN's skills?▼
You can govern BigQuery data corrections across Raw, Silver, and Gold layers, onboard new data sources with a decision checklist, choose between native BigQuery and Iceberg ingestion, create and review factory-pattern DAGs, run structured problem diagnosis and planning, and generate Freshworks ticket templates and weekly status reports.
Who are SIAN's skills designed for?▼
They target data engineers and developers working in the SIAN platform — the Centro de Serviços Compartilhados (CSC) of Grupo HP, administered by GTSI. Users maintain dbt models, Airflow DAGs, and GCP data projects while following GTSI operational governance, code review, and context-saving practices.
How do the GTSI operational skills work in practice?▼
The flow runs gtsi-brainstorm to refine fuzzy ideas into approved specs under .gtsi/specs/, then gtsi-analyze for root-cause diagnosis, gtsi-plan for sequenced action plans, and gtsi-execute to produce artifacts incrementally. gtsi-context-save and gtsi-context-restore preserve session state per author.
What guardrails do SIAN's skills enforce?▼
The data correction policy skill determines allowed fixes in BigQuery tables and what to refuse. gtsi-execute refuses destructive actions without confirmation and redirects real system access to GTSI/Freshworks. gtsi-code-review issues approve, approve-with-caveats, or refuse verdicts saved to .gtsi/reviews/.
What prerequisites do SIAN's skills assume?▼
Skills assume access to the SIAN data platform on GCP, including BigQuery (Raw, Silver, Gold layers), dbt models, the sian-dag-factory DAG structure, and git repositories with CLAUDE.md and .claude/rules. Operational escalation requires Freshworks/Freshservice for tickets and real system access.