Write feature specifications as requirements and user stories with acceptance criteria, focusing on business value and testable conditions.

Convert technical plans into actionable development tasks with dependency graphs, effort estimates, and parallelization opportunities.

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Requires root cause investigation first.

Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle.

Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.

Constitutional AI and safety guardrail prompts for aligned LLM behavior

Content moderation API integration using OpenAI Moderation, Perspective API, and others

Few-shot example generation and optimization for improved LLM performance

OpenTelemetry instrumentation for LLM applications with distributed tracing

Query expansion, HyDE, and multi-query generation for improved retrieval

Rasa NLU pipeline configuration and training for intent and entity extraction

Interface with Codeforces API for contest data, problem sets, and submissions

Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.

Implement computational geometry algorithms

Provide robust computational geometry primitives

Select optimal graph algorithm based on problem constraints

Curated bank of interview problems organized by company, pattern, and difficulty. Provides problem recommendations, coverage tracking, weak area identification, and premium problem alternatives for FAANG interview preparation.

Fetch and parse LeetCode problems with metadata, constraints, examples, hints, difficulty ratings, and related problems. Integrates with LeetCode API for comprehensive problem data retrieval.

Apply language-specific micro-optimizations

Generate optimized prime sieves and factorization routines

Compare multiple solutions for correctness and performance

Generate comprehensive test cases including edge cases, stress tests, and counter-examples for algorithm correctness verification. Supports random generation, constraint-based generation, and brute force oracle comparison.

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Generate BATS test structure and fixtures for shell script testing with setup/teardown, assertions, and mocking.

Generate Bubble Tea (Go) TUI application structure with models, commands, and views using the Elm architecture.

Generate Chocolatey package for Windows CLI distribution.

Set up E2E test harness for CLI applications with process spawning and assertions.

Create mock stdin utilities for interactive CLI testing.

Generate cross-platform path handling utilities for Windows, macOS, and Linux compatibility in CLI applications.

Generate Ink (React for CLI) components for terminal UIs with hooks, state management, and layout components.

Set up MCP Inspector for debugging and testing MCP servers with request logging, response inspection, and protocol validation.

Create mock MCP client for server testing with request/response simulation.

Configure PyInstaller for Python binary builds with spec files and bundling options.

Generate .shellcheckrc configuration with appropriate rules, exclusions, and severity settings for shell script linting.

Generate Textual (Python) TUI application structure with widgets, screens, and CSS styling.

Set up testing utilities for TUI components with ink-testing-library and Bubble Tea testing.

Discover and document existing API endpoints from code, logs, and traffic analysis

Generate characterization tests to capture and verify existing behavior before migration

Generate contract tests for API migrations with consumer-driven contracts and provider verification

Generate OpenAPI specifications from code or legacy APIs with schema inference and documentation

Analyze test coverage and identify gaps before migration to ensure adequate safety nets

Expert usage of Foundry (Forge, Cast, Anvil, Chisel) for smart contract development, testing, and deployment. Includes fuzzing, gas reporting, local development, and deployment scripting capabilities.

Expert usage of Hardhat for smart contract development, testing, and deployment. Includes TypeChain generation, plugin ecosystem, network forking, and deployment management.

Performs statistical analysis for A/B testing experiments

Generates semantic layer definitions for BI tools from dimensional models

Analyzes and optimizes costs for cloud data platforms

Analyzes dbt projects for best practices, performance, maintainability, and generates actionable recommendations for improvement.

Analyzes and optimizes SQL queries across different data warehouse platforms (Snowflake, BigQuery, Redshift, Databricks) with platform-specific recommendations.

Data quality validation skill using Great Expectations for schema validation, expectation suites, data documentation, and automated data quality checks in ML pipelines.