ambushdata-ai-setup

Plugin ambushdata-ai-setup from marketplace cascade-featured in joshuarweaver/cascade-featured. Commands read from the repo's manifest — 1 month ago.

Skills (11)

• backend-patterns

  Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

• clickhouse-io

  ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

• coding-standards

  Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

• continuous-learning

  Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

• eval-harness
• frontend-patterns

  Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

• project-guidelines-example
• security-review

  Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

• strategic-compact

  Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

• tdd-workflow

  Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

• verification-loop

Slash commands (15)

• /ambushdata-ai-setup:build-fix
• /ambushdata-ai-setup:checkpoint
• /ambushdata-ai-setup:code-review
• /ambushdata-ai-setup:e2e

  Generate and run end-to-end pipeline tests. Creates complete pipeline test scenarios, validates data flow through components, and verifies output quality.

• /ambushdata-ai-setup:eval
• /ambushdata-ai-setup:learn
• /ambushdata-ai-setup:orchestrate
• /ambushdata-ai-setup:plan

  Restate requirements, assess risks, and create step-by-step implementation plan. WAIT for user CONFIRM before touching any code.

• /ambushdata-ai-setup:refactor-clean
• /ambushdata-ai-setup:setup-pm

  Configure your preferred Python package manager (pip/poetry/uv)

• /ambushdata-ai-setup:tdd

  Enforce test-driven development workflow for data pipelines. Define schemas first, write failing tests, then implement components. Ensure 80%+ coverage.

• /ambushdata-ai-setup:test-coverage
• /ambushdata-ai-setup:update-codemaps
• /ambushdata-ai-setup:update-docs
• /ambushdata-ai-setup:verify

Subagents (13)

• architecture-guard

  Atlantis framework architecture specialist. Reviews Blackboard pattern implementation, component design, SCD patterns, metadata model structure, and monorepo organization. Ensures adherence to Atlantis principles and Azure Synapse best practices.

• code-reviewer

  Data engineering code review specialist. Reviews pipeline code, transformations, SQL, and data processing logic for correctness, readability, performance, and data quality. Use after writing or modifying data pipelines.

• data-quality

  Pandera data quality specialist. Authors schema-based validation using Pandera, integrates with Atlantis framework, validates Pydantic metadata models, and ensures data quality throughout Azure Synapse pipelines.

• dependency-impact

  Dependency analysis specialist. Maps data lineage, identifies downstream consumers, and warns about breaking changes before they happen.

• developer

  Atlantis framework developer. Writes composable ETL building blocks using OOP patterns, Blackboard architecture, Pydantic metadata models, and Azure Synapse. Implements SCD2/SCD1 patterns and reusable pipeline components.

• doc-updater

  Documentation specialist for data pipelines. Generates technical documentation for schemas, transformations, data quality rules, and pipeline architecture. Keeps data dictionaries and runbooks current.

• metadata

  Technical metadata specialist. Extracts, catalogs, and maintains technical metadata about datasets, columns, lineage, and usage patterns for data discovery and governance.

• planner

  Expert planning specialist for complex features and refactoring. Use PROACTIVELY when users request feature implementation, architectural changes, or complex refactoring. Automatically activated for planning tasks.

• refactor-cleaner

  Data pipeline refactoring specialist. Consolidates duplicate transformation logic, removes unused data quality checks, optimizes pipeline structure, and maintains clean, efficient data code.

• schema-contract

  Pydantic metadata and contract specialist for Atlantis framework. Manages TableMetadata and ProcessMetadata models, validates schema evolution, ensures type safety across pipeline components.

• security-scan

  Data platform security specialist. Detects secrets, unsafe configs, PII exposure, and insecure patterns in data code. Validates encryption, access controls, and compliance requirements.

• sql-optimization

  SQL query optimization specialist. Analyzes and optimizes SQL queries for performance, cost efficiency, and maintainability across analytical workloads.

• unit-test

  Unit testing specialist for data engineering. Creates and maintains tests for transformations, UDFs, SQL logic, and pipeline components. Ensures data processing logic is reliable and testable.

Hooks (13)

• PreToolUse

  python -c "import sys; print('[Hook] Consider running long-running commands in a separate terminal for persistence', file=sys.stderr)"

• PreToolUse

  python -c "import sys; print('[Hook] Review changes before push...', file=sys.stderr); print('[Hook] Continuing with push (remove this hook to add interactive review)', file=sys.stderr)"

• PreToolUse

  python -c "import sys, json; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath', ''); print(f'[Hook] Consider consolidating documentation

• PreToolUse

  python "${COPILOT_CONFIG_ROOT}/scripts/hooks/suggest_compact.py"

• PreCompact

  python "${COPILOT_CONFIG_ROOT}/scripts/hooks/pre_compact.py"

• SessionStart

  python "${COPILOT_CONFIG_ROOT}/scripts/hooks/session_start.py"

• PostToolUse

  python -c "import sys, json, re; data = sys.stdin.read(); obj = json.loads(data) if data else {}; output = obj.get('tool_output', {}).get('output', ''); match = re.search(r'https://github.com/[^/]+/[^

• PostToolUse

  python -c "import sys, json, subprocess, os; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath'); subprocess.run(['black', path], capture_

• PostToolUse

  python -c "import sys, json, subprocess, os; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath'); result = subprocess.run(['flake8', path]

• PostToolUse

  python -c "import sys, json, os; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath'); content = open(path).read() if path and os.path.exis

• Stop

  python -c "import sys, subprocess, os; subprocess.run(['git', 'rev-parse', '--git-dir'], capture_output=True, check=True); files = subprocess.run(['git', 'diff', '--name-only', 'HEAD'], capture_output

• SessionEnd

  python "${COPILOT_CONFIG_ROOT}/scripts/hooks/session_end.py"

• SessionEnd

  python "${COPILOT_CONFIG_ROOT}/scripts/hooks/evaluate_session.py"

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