Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Guides developers through the iterative process of refining, scaling, and optimizing production-ready SaaS applications.
Validates software specification quality through automated consistency analysis and domain-specific checklists before implementation.
Generates comprehensive technical design rationale and architectural documentation for software feature changes.
Transforms ambiguous requests into structured, actionable project specifications through systematic Socratic questioning.
Executes and manages 26 specialized Genkit AI flows for career-related tasks while reducing token usage by up to 90% through intelligent caching.
Preserves mid-session coding progress and context without requiring a full shutdown or heavy verification cycle.
Decomposes technical specifications into executable, dependency-aware task lists for streamlined implementation.
Standardizes the beginning of a coding session by verifying environment health, reviewing progress, and identifying the next priority task.
Orchestrates the end-to-end project planning lifecycle from initial concept to execution-ready roadmaps with interactive checkpoints.
Generates and stress-tests implementation roadmaps through interactive scoping and multi-agent validation protocols.
Preserves AI research context and decision states through semantic checkpoints to prevent information loss during complex investigations.
Establishes a foundation for standardized code quality, conventions, and architectural patterns within your development workflow.
Automates the end-of-session workflow by verifying code integrity, updating progress tracking, and capturing project insights.
Transforms raw ideas into structured technical specifications through iterative dialogue and architectural evaluation.
Standardizes directory structures and artifact exchange patterns for seamless collaboration between Claude Code and Gemini CLI.
Automates project state updates and generates comprehensive end-of-session summaries to maintain workflow continuity.
Enforces architectural best practices and scope control during the project planning phase.
Engages a specialized thinking partner mode to investigate codebases, brainstorm architectures, and clarify requirements without writing code.
Coordinates multi-repository synchronization, architecture management, and package alignment using AI swarm orchestration.
Orchestrates specialized sub-agents to execute complex, multi-step tasks in parallel while minimizing context usage.
Finalizes and archives completed changes within the OpenSpec experimental workflow to maintain a clean and organized workspace.
Automates the progression of development changes by generating sequential artifacts like proposals, specifications, and design documents.
Retrieves the exact UTC date and time via real-time command execution to ensure accurate temporal context for AI-driven tasks.
Provides comprehensive guidance for creating, configuring, and validating Claude Code hooks following official protocol specifications.
Finalizes and archives completed development changes while ensuring artifact completion and spec synchronization.
Implements a persistent, Manus-style file-based planning system for complex multi-step AI coding tasks.
Automates the sequential creation of development artifacts for OpenSpec changes to streamline software planning and documentation.
Automates the entire software development lifecycle from initial requirement gathering to final integration using a multi-agent AI team.
Automates the creation of component generators, CLI tools, and bulk code transformation scripts for UI development workflows.
Orchestrates the end-to-end development lifecycle from initial requirements specification to final code implementation.
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