analyzing-research-documents
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
301 skills found
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Clarify ambiguous requirements through systematic dialogue and scoring to ensure high-quality, actionable PRDs before starting implementation.
Enterprise-grade React CRUD development skill for React 16.14 and DVA 2.x, featuring automated page generation, form management, and service layer integration.
A unified Solana development skill hub featuring multi-agent orchestration, progressive skill loading, and deep integrations for Anchor, Token-2022, DeFi protocols, and security auditing.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Guidance for writing, reviewing, and refactoring software tests, focusing on integration strategies, condition-based waiting, and professional mocking patterns.
Base ecosystem skill for Refly. Creates, discovers, and runs domain-specific skills, routes user intent to workflows via symlinks, and automates multi-step pipelines via the Refly CLI.
Git worktree management for isolated parallel development, featuring automatic branch registration and seamless MoAI-ADK workflow integration.
Analyze project codebases to generate architecture documentation, coding standards, and development practices for AI onboarding.
Accelerate software delivery by shifting testing to the earliest development phases, using AI-driven requirements validation, TDD, and automated CI pipelines to reduce defect costs.
Generate high-converting, professional README.md files for open source projects and CLI tools using a value-driven, scannable framework.
Perform deep security analysis on codebases using CodeQL for interprocedural data flow, taint tracking, and automated vulnerability detection across multiple languages.