
Claude Skills by BbgnsurfTech
github.com/BbgnsurfTechThis skill empowers claude to construct recommendation systems using
This skill empowers claude to perform regression analysis and modeling
This skill enables claude to analyze the sentiment of text data. it identifies
This skill enables claude to forecast future values based on historical
This skill automates the adaptation of pre-trained machine learning models
Build discounted cash flow (DCF) valuation models in Excel with free
Create leveraged buyout (LBO) models in Excel with sources & uses, debt
Generate pivot tables and charts from raw data using natural language
Automate budget vs actual variance analysis in excel with flagging, commentary,
Manages Firebase/Firestore operations including CRUD, queries, batch
Monitor new token launches, IDOs, and fair launches with contract verification. Use when discovering new token launches. Trigger with phrases like "track launches", "find new tokens", or "monitor IDOs".
Backtest crypto trading strategies against historical data with performance metrics. Use when validating trading strategies with historical data. Trigger with phrases like "backtest strategy", "test trading signals", or "validate approach".
Audit crypto wallet security including private key management and transaction signing. Use when auditing wallet security practices. Trigger with phrases like "audit wallet", "check security", or "verify signatures".
Track large crypto transactions and whale wallet movements across blockchains. Use when tracking large holder movements. Trigger with phrases like "track whales", "monitor large transfers", or "check whale activity".
This skill enables claude to generate realistic test data and database
Use when you need to ensure database integrity through comprehensive data validation. This skill validates data types, ranges, formats, referential integrity, and business rules. Trigger with phrases like "validate database data", "implement data validation rules", "enforce data integrity constraints", or "validate data formats".
Use when you need to archive historical database records to reduce primary database size. This skill automates moving old data to archive tables or cold storage (S3, Azure Blob, GCS). Trigger with phrases like "archive old database records", "implement data retention policy", "move historical data to cold storage", or "reduce database size with archival".
Use when you need to track database changes for compliance and security monitoring. This skill implements audit logging using triggers, application-level logging, CDC, or native logs. Trigger with phrases like "implement database audit logging", "add audit trails", "track database changes", or "monitor database activity for compliance".
Use when you need to automate database backup processes with scheduling and encryption. This skill creates backup scripts for PostgreSQL, MySQL, MongoDB, and SQLite with compression. Trigger with phrases like "automate database backups", "schedule database dumps", "create backup scripts", or "implement disaster recovery for database".
Use when you need to implement multi-tier caching to improve database performance. This skill sets up Redis, in-memory caching, and CDN layers to reduce database load. Trigger with phrases like "implement database caching", "add Redis cache layer", "improve query performance with caching", or "reduce database load".
Use when you need to work with connection management. This skill provides connection pooling and management with comprehensive guidance and automation. Trigger with phrases like "manage connections", "configure pooling", or "optimize connection usage".
Use when you need to work with deadlock detection. This skill provides deadlock detection and resolution with comprehensive guidance and automation. Trigger with phrases like "detect deadlocks", "resolve deadlocks", or "prevent deadlocks".
Use when you need to work with schema comparison. This skill provides database schema diff and sync with comprehensive guidance and automation. Trigger with phrases like "compare schemas", "diff databases", or "sync database schemas".
Use when you need to work with database documentation. This skill provides automated documentation generation with comprehensive guidance and automation. Trigger with phrases like "generate docs", "document schema", or "create database documentation".
Use when you need to work with monitoring and observability. This skill provides health monitoring and alerting with comprehensive guidance and automation. Trigger with phrases like "monitor system health", "set up alerts", or "track metrics".
Use when you need to work with database indexing. This skill provides index design and optimization with comprehensive guidance and automation. Trigger with phrases like "create indexes", "optimize indexes", or "improve query performance".
Use when you need to work with database migrations. This skill provides schema migration management with comprehensive guidance and automation. Trigger with phrases like "create migration", "run migrations", or "manage schema versions".
Use when you need to work with database partitioning. This skill provides table partitioning strategies with comprehensive guidance and automation. Trigger with phrases like "partition tables", "implement partitioning", or "optimize large tables".
Use when you need to work with database operations. This skill provides database management and optimization with comprehensive guidance and automation. Trigger with phrases like "manage database", "optimize database", or "configure database".
Use when provisioning Vertex AI ADK infrastructure with Terraform. Trigger with phrases like "deploy ADK terraform", "agent engine infrastructure", "provision ADK agent", "vertex AI agent terraform", or "code execution sandbox terraform". Provisions Agent Engine runtime, 14-day code execution sandbox, Memory Bank, VPC Service Controls, IAM roles, and secure multi-agent infrastructure.
Use when deploying Genkit applications to production with Terraform. Trigger with phrases like "deploy genkit terraform", "provision genkit infrastructure", "firebase functions terraform", "cloud run deployment", or "genkit production infrastructure". Provisions Firebase Functions, Cloud Run services, GKE clusters, monitoring dashboards, and CI/CD for AI workflows.
Use when validating GitHub Actions workflows for Google Cloud and Vertex AI deployments. Trigger with phrases like "validate github actions", "setup workload identity federation", "github actions security", "deploy agent with ci/cd", or "automate vertex ai deployment". Enforces Workload Identity Federation (WIF), validates OIDC permissions, ensures least privilege IAM, and implements security best practices.
Use when provisioning Vertex AI infrastructure with Terraform. Trigger with phrases like "vertex ai terraform", "deploy gemini terraform", "model garden infrastructure", "vertex ai endpoints terraform", or "vector search terraform". Provisions Model Garden models, Gemini endpoints, vector search indices, ML pipelines, and production AI services with encryption and auto-scaling.
Automatically formats and validates code files using Prettier and other formatting tools. Use when users mention "format my code", "fix formatting", "apply code style", "check formatting", "make code consistent", or "clean up code formatting". Handles JavaScript, TypeScript, JSON, CSS, Markdown, and many other file types.
Build production-ready AI agents using Google's Agent Development Kit
Build and deploy production-ready generative AI agents using Vertex AI,
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.
Comprehensive guide for creating and managing MkDocs documentation projects with Material theme. Includes official CLI command reference with complete parameters and arguments, and mkdocs.yml configuration reference with all available settings and valid values. Use when working with MkDocs projects including site initialization, mkdocs.yml configuration, Material theme customization, plugin integration, or building static documentation sites from Markdown files.
When setting up automated code quality checks on git commit. When project has .pre-commit-config.yaml. When implementing git hooks for formatting, linting, or validation. When creating prepare-commit-msg hooks to modify commit messages. When distributing a tool as a pre-commit hook.
When creating a README for a Python package. When preparing a package for PyPI publication. When README renders incorrectly on PyPI. When choosing between README.md and README.rst. When running twine check and seeing rendering errors. When configuring readme field in pyproject.toml.
The model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building CI scripts or tools. 4. Creating portable Python scripts with stdlib only. 5. planning out a python package design. 6. running any python script or test. 7. writing tests (unit, integration, e2e, validation) for a python script, package, or application. Reviewing Python code against bes...
When reading or writing pyproject.toml or .toml config files in Python. When editing TOML while preserving comments and formatting. When designing configuration file format for a Python tool. When code uses tomlkit or tomllib. When implementing atomic config file updates.
Expert guidance for Astral's uv - an extremely fast Python package and project manager. Use when working with Python projects, managing dependencies, creating scripts with PEP 723 metadata, installing tools, managing Python versions, or configuring package indexes. Covers project initialization, dependency management, virtual environments, tool installation, workspace configuration, CI/CD integration, and migration from pip/poetry.
Enforce mandatory pre-action verification checkpoints to prevent pattern-matching from overriding explicit reasoning. Use this skill when about to execute implementation actions (Bash, Write, Edit, MultiEdit) to verify hypothesis-action alignment. Blocks execution when hypothesis unverified or action targets different system than hypothesis identified. Critical for preventing cognitive dissonance where correct diagnosis leads to wrong implementation.
When an application needs to store config, data, cache, or state files. When designing where user-specific files should live. When code writes to ~/.appname or hardcoded home paths. When implementing cross-platform file storage with platformdirs.
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Dispatch code-reviewer subagent to review implementation against plan or requirements before proceeding
Maintain skills wiki health - check links, naming, cross-references, and coverage
Sync local skills repository with upstream changes from obra/superpowers-skills