Most Used Tags
A powerful collection of tools for efficient AI-driven development and context management.
Analyzes codebases and generates structured documentation for various focus areas.
Verifies cross-phase integration and end-to-end workflows in applications.
Automates the writing and updating of project documentation based on specific assignments.
Synthesizes research outputs from multiple agents into a cohesive summary for roadmap creation.
Conducts a thorough visual audit of frontend code against design standards, producing actionable insights.
Consolidates classified planning documents into a unified context while managing conflicts.
Creates detailed project roadmaps by mapping requirements to phases with clear success criteria.
Researches business domain context for AI systems, identifying evaluation criteria and failure modes.
Classifies planning documents into categories like ADR, PRD, SPEC, or DOC, ensuring accurate extraction of information.
Analyzes codebases to extract structured assumptions for specific phases.
Manages multi-cycle debugging sessions, ensuring efficient checkpoint handling and agent spawning.
Automate bug investigation using a scientific approach and manage debug sessions effectively.
Verifies phase plans will achieve their goals before execution through goal-backward analysis.
Verifies phase goal achievement through goal-backward analysis, ensuring codebase aligns with promised outcomes.
Conducts a retroactive audit of AI evaluation coverage against planned strategies.
Executes GSD plans with atomic commits and deviation handling.
Interactive decision matrix for selecting the right AI/LLM framework based on user needs.
Designs structured evaluation strategies for AI phases, ensuring robust assessment and monitoring.
Analyzes codebases and generates structured intelligence files for project insights.
Generates tests to fill Nyquist validation gaps and verifies coverage for phase requirements.
Automated code reviewer that identifies bugs, security issues, and code quality problems.
Audits code against threat mitigations in PLAN.md, producing a detailed SECURITY.md report.
Automates code fixes based on review findings, ensuring intelligent and atomic updates.
Generates UI-SPEC.md design contracts for frontend phases based on upstream artifacts.
Creates executable phase plans with task breakdown and dependency analysis.
Analyzes developer session messages to create a detailed behavioral profile across 8 dimensions.
Researches gray area decisions and provides structured comparison tables.
Researches pre-planning phases and produces structured documentation for planners.
Researches domain ecosystems to inform project roadmaps.
Validates UI-SPEC.md design contracts against quality dimensions to ensure design integrity.
Analyzes codebase patterns and generates a mapping file for new files.
Automates the research of AI frameworks to deliver implementation-ready guidance and best practices.