Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Executes development tasks from specifications or issues autonomously using subagents and test-driven development.
Implements the 7-phase GitHub Spec-Kit workflow for constitution-driven and specification-led software development.
Enforces a mandatory skill-first workflow to ensure Claude consistently utilizes specialized plugins and follows proven best practices.
Synchronizes task learnings and persistent knowledge across semantic memory systems and structured vaults to prevent repetitive errors.
Orchestrates the end-to-end development lifecycle from initial requirements specification to final code implementation.
Manages project milestones and extracts images directly from Linear issues within the Claude Code environment.
Automates the structured implementation of development plans through step-by-step coding, verification cycles, and regression testing.
Finalizes and archives completed development changes while ensuring artifact completion and spec synchronization.
Implements a robust step-based workflow system for Synapse plugin actions with automatic rollback and progress tracking.
Orchestrates specialized subagents to perform focused development tasks while maintaining a clean main context.
Automates meeting preparation by researching attendees, summarizing past interactions, and generating comprehensive one-page briefings.
Optimizes AI performance through iterative usage tracking and data-driven refinement cycles.
Terminates active task modules, stops automated loops, and performs optional Git repository cleanup to maintain a structured development workflow.
Automates the end-to-end development lifecycle from requirement definition to final acceptance through a conversational AI workflow.
Executes complex implementation plans through controlled batching, mandatory TDD, and rigorous code review checkpoints.
Preserves and recalls critical project insights, research findings, and technical decisions across AI coding sessions.
Defines and manages structured task objectives, requirements, and lifecycle stages for AI-driven development.
Transforms high-level ideas into detailed, actionable implementation specifications through collaborative dialogue and design analysis.
Automates long-running, multi-session coding tasks through intelligent task decomposition and self-managed execution loops.
Provides a structured framework and template for planning and executing non-development tasks like research, documentation, and operations.
Transforms abstract feature ideas into structured technical designs through Socratic questioning and multi-phase architectural planning.
Records persistent workflow states and progress markers to facilitate seamless agentic handoffs and session resumption.
Optimizes coding tasks by identifying underspecified requests and asking targeted clarifying questions before implementation.
Automates the implementation of technical specifications with batched execution, parallelization support, and rigorous verification steps.
Accelerates development cycles by bypassing formal design documentation for small features, bug fixes, and rapid prototyping.
Finalizes and archives completed changes within the OpenSpec experimental workflow to maintain a clean and organized workspace.
Identifies and resolves development blockers using a structured dispatch table and proven problem-solving techniques.
Automates the progression of development changes by generating sequential artifacts like proposals, specifications, and design documents.
Systematically identifies the root cause of unexpected metric changes through multi-dimensional segmentation and evidence-based hypothesis testing.
Generates structured software requirement documents and acceptance criteria using a standardized development workflow.
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