pproenca-dot-skills-1
claudeSoftware architecture patterns skill for designing maintainable, testable applications with clear separation of concerns.
200 skills
Battle-tested Claude Code setups from an Anthropic hackathon winner, providing optimized configurations for rapid development.
Plugin ambushdata-ai-setup from marketplace cascade-code-general-misc-1 in joshuarweaver/cascade-code-general-misc-1. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
backend-patternsBackend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
clickhouse-ioClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
coding-standardsUniversal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
continuous-learningAutomatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
eval-harnessfrontend-patternsFrontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
project-guidelines-examplesecurity-reviewUse 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-compactSuggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
tdd-workflowUse 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/ambushdata-ai-setup:build-fix/ambushdata-ai-setup:checkpoint/ambushdata-ai-setup:code-review/ambushdata-ai-setup:e2eGenerate 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:planRestate 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-pmConfigure your preferred Python package manager (pip/poetry/uv)
/ambushdata-ai-setup:tddEnforce 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:verifyarchitecture-guardAtlantis 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-reviewerData 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-qualityPandera 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-impactDependency analysis specialist. Maps data lineage, identifies downstream consumers, and warns about breaking changes before they happen.
developerAtlantis 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-updaterDocumentation specialist for data pipelines. Generates technical documentation for schemas, transformations, data quality rules, and pipeline architecture. Keeps data dictionaries and runbooks current.
metadataTechnical metadata specialist. Extracts, catalogs, and maintains technical metadata about datasets, columns, lineage, and usage patterns for data discovery and governance.
plannerExpert 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-cleanerData pipeline refactoring specialist. Consolidates duplicate transformation logic, removes unused data quality checks, optimizes pipeline structure, and maintains clean, efficient data code.
schema-contractPydantic metadata and contract specialist for Atlantis framework. Manages TableMetadata and ProcessMetadata models, validates schema evolution, ensures type safety across pipeline components.
security-scanData platform security specialist. Detects secrets, unsafe configs, PII exposure, and insecure patterns in data code. Validates encryption, access controls, and compliance requirements.
sql-optimizationSQL query optimization specialist. Analyzes and optimizes SQL queries for performance, cost efficiency, and maintainability across analytical workloads.
unit-testUnit 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.
python -c "import sys; print('[Hook] Consider running long-running commands in a separate terminal for persistence', file=sys.stderr)"
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)"
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
python "${COPILOT_CONFIG_ROOT}/scripts/hooks/suggest_compact.py"
python "${COPILOT_CONFIG_ROOT}/scripts/hooks/pre_compact.py"
python "${COPILOT_CONFIG_ROOT}/scripts/hooks/session_start.py"
python -c "import sys, json, re; data = sys.stdin.read(); obj = json.loads(data) if data else {}; output = obj.get('tool_output', {}).get('output', ''); match = re.search(r'https://github.com/[^/]+/[^
python -c "import sys, json, subprocess, os; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath'); subprocess.run(['black', path], capture_
python -c "import sys, json, subprocess, os; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath'); result = subprocess.run(['flake8', path]
python -c "import sys, json, os; data = sys.stdin.read(); obj = json.loads(data) if data else {}; path = obj.get('tool_input', {}).get('filePath'); content = open(path).read() if path and os.path.exis
python -c "import sys, subprocess, os; subprocess.run(['git', 'rev-parse', '--git-dir'], capture_output=True, check=True); files = subprocess.run(['git', 'diff', '--name-only', 'HEAD'], capture_output
python "${COPILOT_CONFIG_ROOT}/scripts/hooks/session_end.py"
python "${COPILOT_CONFIG_ROOT}/scripts/hooks/evaluate_session.py"
Software architecture patterns skill for designing maintainable, testable applications with clear separation of concerns.
200 skills
Collection of plugins for code analysis, architecture review, SOLID principles, and distributed systems design.
113 skills
Master repository for tech-specific plugins covering SDKs, frameworks, and platforms.
104 skills
Comprehensive development environment featuring specialized AI agents for code review, security analysis, and technical leadership. Designed for engineering teams managing complex codebases.
100 skills
In-code documentation tool for generating README files, JSDoc comments, and code organization guides automatically.
66 skills
Curated collection of high-quality Claude Code plugins built for production development workflows.
63 skills
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.
1 skill
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