Discover Agent Skills for productivity & workflow. Browse 170 skills for Claude, ChatGPT & Codex.
Accelerates software architecture planning by generating all OpenSpec artifacts in a single, efficient pass.
Orchestrates parallel multi-agent development by executing complex task plans in dependency-ordered waves using isolated git worktrees.
Streamlines AI agent integration into new codebases through structured document reading and bounded file discovery.
Synchronizes project-specific coding rules, architecture decisions, and documentation to ensure consistent AI performance across development tasks.
Generates dependency-aware implementation plans optimized for parallel multi-agent execution in Claude Code.
Tracks development tasks and manages context handoffs across AI coding sessions using a structured CLI workflow.
Generates structured, actionable Product Requirements Documents (PRDs) by clarifying feature goals and defining verifiable acceptance criteria.
Generates inclusive, ADHD-friendly Mermaid diagrams and compassionate task breakdowns optimized for neurodivergent cognitive patterns.
Enforces a rigorous quality and compliance checklist for software tasks before they are marked as complete.
Evaluates the suitability of AI agents for specific tasks by analyzing their core skills, descriptions, and workflow files.
Orchestrates multiple independent AI agents to resolve disparate bugs and tasks concurrently to accelerate development workflows.
Streamlines product development workflows by generating PRDs, prioritizing roadmaps using RICE scoring, and synthesizing user research into actionable insights.
Logs Claude Code work sessions directly into LogSeq journals with time-stamped summaries and automated tagging.
Streamlines rapid TDD iteration cycles by synchronizing Jira context, codebase exploration, and automated branch setup.
Provides migration pathways and guidance for transitioning from the legacy planning plugin to the enhanced AI-DLC methodology tools.
Generates a real-time health and status dashboard for all Product Requirements Documents in your project.
Bridges the gap between planning and implementation by generating domain models, logical architectures, and Architecture Decision Records (ADRs).
Decomposes approved development intents into structured Units and Tasks within Confluence for collaborative architectural review.
Starts new development sessions by automatically loading project context, initializing memory, and creating structured session logs.
Creates and manages interactive visual canvases, mind maps, and flowcharts using the open-source JSON Canvas format.
Analyzes Product Requirement Documents for completeness, clarity, and internal consistency using standardized industry rubrics.
Streamlines the creation and management of reusable LogSeq block structures with dynamic variables for efficient note-taking.
Generates and optimizes LogSeq simple queries and advanced Datalog queries for complex graph data retrieval and task management.
Synchronizes project-specific coding standards, design decisions, and documentation to ensure consistent AI behavior across development tasks.
Manages LogSeq infinite canvas whiteboards by creating and editing .edn files with shapes, connectors, and block portals.
Summarizes and categorizes emails from Gmail and Exchange into actionable markdown reports for streamlined inbox management.
Generates structured, comprehensive Product Requirement Documents from context files or feature briefs using industry-standard templates.
Transforms detailed Product Requirement Documents into concise, stakeholder-ready executive summaries.
Streamlines product management tasks by transforming high-level requirements into structured technical analyses and solutions.
Finalizes and archives completed changes within the OpenSpec experimental workflow, ensuring spec synchronization and task completion.
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