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defense-in-depth
Use when invalid data causes failures deep in execution - validates at every layer data passes through to make bugs structurally impossible rather than temporarily fixed
rep-performance-scorecard
Imported from https://github.com/OneWave-AI/claude-skills.
csv-data-summarizer
Analyzes CSV files and generates comprehensive summary statistics and visualizations using Python and pandas - automatically and immediately without asking what the user wants.
project-init
Initialize projects with AI Dev Flow framework using domain-aware setup
ai-testcase-generator-mcp
GitHub repository skill for Mallikarjun-Roddannavar/ai-testcase-generator-mcp
skill-integration-tester
Validate multi-skill workflows defined in CLAUDE.md by checking skill existence, inter-skill data contracts (JSON schema compatibility), file naming conventions, and handoff integrity. Use when adding new workflows, modifying skill outputs, or verifying pipeline health before release.
trade-hypothesis-ideator
Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.
uptrend-analyzer
Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market environment supports equity exposure. No API key required.
market-breadth-analyzer
Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API key required. Use when user asks about market breadth, participation rate, advance-decline health, whether the rally is broad-based, or general market health assessment.
distil-cli
Train task-specific small language models (SLMs) using the Distil Labs CLI. Helps with data preparation, model training, and deployment.
global-validation
Implement secure, comprehensive input validation on both client and server sides using allowlists, type checking, and sanitization to prevent injection attacks. Use this skill when handling user input from forms, API requests, or any external data source. When implementing form validation logic with field-specific error messages. When validating data types, formats, ranges, and required fields. When sanitizing input to prevent SQL injection, XSS, or command injection. When validating business rules like sufficient balance or valid date ranges. When implementing both client-side validation for user experience and mandatory server-side validation for security.
backend-migrations
Create and manage database migrations with proper rollback methods, focused changes, and zero-downtime deployment considerations. Use this skill when creating new database migration files, modifying table schemas, adding or removing columns, creating or dropping indexes, or managing database version control. When working with migration directories, schema definition files, or database change scripts. When implementing backwards-compatible database changes for production deployments. When separating schema changes from data migrations.
pci-compliance
Implement PCI DSS compliance requirements for secure handling of payment card data and payment systems. Use when securing payment processing, achieving PCI compliance, or implementing payment card security measures.
startup
Review essential documentation and context at session start. Use when beginning a new session to load AI rules, git state, and pending tasks.
delight-audit
Evaluates the pipeline from a Developer Experience perspective using 40 dimensions across 10 categories. Focuses on flow state, delight, trust, and the joy of building software with AI partners. Activation trigger: [ACTIVATE:DELIGHT_AUDIT_V1]
furusato
This skill manages furusato nozei (hometown tax) donations. Use when the user wants to register donation data, read donation receipts, check deduction limits, or manage their furusato nozei records. Trigger phrases: "ふるさと納税", "furusato", "寄附金", "寄付金", "ふるさと納税の控除", "寄附金受領証明書", "ワンストップ特例".
using-relational-databases
Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).
claude-chrome
Claude in Chrome - browser automation via the official Anthropic extension. Control your logged-in Chrome browser, automate workflows, fill forms, extract data, and run scheduled tasks.
streaming-api-patterns
Implement real-time data streaming with Server-Sent Events (SSE), WebSockets, and ReadableStream APIs. Master backpressure handling, reconnection strategies, and LLM streaming for 2025+ real-time applications.
when-testing-code-use-testing-framework
Imported from https://github.com/DNYoussef/ai-chrome-extension.
when-reviewing-code-comprehensively-use-code-review-assistant
Imported from https://github.com/DNYoussef/ai-chrome-extension.
when-orchestrating-swarm-use-swarm-orchestration
Imported from https://github.com/DNYoussef/ai-chrome-extension.
when-optimizing-agent-learning-use-reasoningbank-intelligence
Imported from https://github.com/DNYoussef/ai-chrome-extension.
when-verifying-quality-use-verification-quality
Imported from https://github.com/DNYoussef/ai-chrome-extension.