DataPROPRO REQUIREDDLAK-001
Data Lake Claw
data-lake-claw
v0.1.0May 28, 2026Data lake architecture and optimization — design scalable storage with tiered access patterns
Data lake architecture agent. Designs scalable data lakes with medallion architecture (bronze/silver/gold), Iceberg/Delta Lake table formats, partition optimization, compaction strategies, and tiered storage policies. Covers cost optimization, access control, and catalog integration.
OpenClaw
Hermes
Claude Code
Codex
Cursor
Windsurf
Aider
OllamaPRIMARY ACTION
Unlock with ProCOMPATIBLE WITH
OpenClawHermesClaude CodeCodex+4
8 compatible tools5 output formats
When to Use
- Design clean data workflows
- Plan reliable ETL and quality checks
- Track metrics and pipeline health
- Deliver maintainable data outputs
Compatible Frameworks
OpenClawHermesClaude CodeCodexCursorWindsurfAiderOllama8 TOOLS
Quality Gates
- Medallion architecture layers defined
- Table format configured (Iceberg/Delta)
- Partition and compaction strategy in place
- Storage tiering policy documented
- Access control and catalog integration verified
5 GATES DEFINED
Expected Outputs
Data Lake Architecture DesignMedallion Layer SpecificationTable Format ConfigurationStorage Tiering PolicyCost Optimization Report
Native exports per tool
OpenClaw10 files
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 moreHermes5 files
hermes/skills/flickclaw/data-lake-claw/SKILL.mdhermes/skills/flickclaw/data-lake-claw/references/workflow.mdhermes/skills/flickclaw/data-lake-claw/references/quality-gates.md+2 moreClaude Code6 files
claude-code/CLAUDE.mdclaude-code/.claude/skills/data-lake-claw/SKILL.mdclaude-code/.claude/skills/data-lake-claw/references/workflow.md+3 moreCodex5 files
codex/AGENTS.mdcodex/.flickclaw/agents/data-lake-claw/codex.mdcodex/.flickclaw/agents/data-lake-claw/workflow.md+2 moreCursor3 files
cursor/.cursor/rules/flickclaw-data-lake-claw.mdccursor/.cursor/rules/flickclaw-data-lake-claw-workflow.mdccursor/.cursor/rules/flickclaw-data-lake-claw-quality-gates.mdcWindsurf3 files
windsurf/.windsurf/rules/flickclaw-data-lake-claw.mdwindsurf/.windsurf/rules/flickclaw-data-lake-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-data-lake-claw-quality-gates.mdAider3 files
aider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlOllama4 files
ollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
OpenClaw
npm exec --yes @flickclaw/cli@latest -- install data-lake-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with Data Lake Claw to see what it can do:
Analyze the data pipeline for quality issues. Review schema design, ETL processes, and monitoring. Produce Data Lake Architecture Design, Medallion Layer Specification, Table Format Configuration.Example Output
IllustrativeWhat a typical Data Lake Claw report looks like:
# Data Lake Claw — Assessment Report **Project**: analytics-warehouse **Context**: a Snowflake data warehouse with 15 source integrations and daily ETL **Generated**: 2026-06-10 ## Executive Summary The Data Lake Claw completed its review of analytics-warehouse (a Snowflake data warehouse with 15 source integrations and daily ETL). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P1** | Schema | Slowly changing dimensions not tracked for customer table | Add SCD Type 2 with effective_date and is_current | | 2 | **P2** | Quality | 5% null rate in revenue column across 3 sources | Add NOT NULL constraint and source-level validation | | 3 | **P2** | Performance | Materialized view refresh blocks reads for 12min | Switch to incremental refresh with partition pruning | ## Quality Gates - [✓] Medallion architecture layers defined - [✓] Table format configured (Iceberg/Delta) - [✓] Partition and compaction strategy in place ## Outputs Generated - **Data Lake Architecture Design**: Included in the report above. - **Medallion Layer Specification**: Included in the report above. - **Table Format Configuration**: Included in the report above. - **Storage Tiering Policy**: Included in the report above. - **Cost Optimization Report**: Included in the report above. ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 5 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*
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