Explore our collection of Agent Skills to enhance your AI workflow.
Installs and manages specialized Claude Code skills from curated lists or remote GitHub repositories.
Automates the gathering of external sources and synthesis of research notes for developing new specialized skills.
Validates and reviews Claude Code skills against official specifications to ensure high-quality, discoverable AI capabilities.
Automates the creation and management of standardized Agent Skills for Claude Code following the official Agent Skills specification.
Implements and manages sophisticated lead scoring systems to qualify prospects and optimize conversion funnels.
Provides architectural guidance and proven design patterns for building efficient n8n automation workflows.
Automates the creation and updating of standardized SKILL.md documentation files from research notes or issue specifications.
Automates the review of SkillStash pull requests by validating file structure, metadata, and naming conventions.
Manages the lifecycle of Claude Code skills within a skillstash repository, including creation, validation, and contribution workflows.
Provides comprehensive PDF manipulation capabilities including text/table extraction, document generation, and form handling for automated workflows.
Automates headless workflows and CI/CD pipelines using Google's Gemini CLI with advanced approval modes and context management.
Audits and secures Supabase queries to ensure strict multi-tenant data isolation via mandatory workspace filtering.
Analyzes, monitors, and optimizes web application performance including Core Web Vitals, bundle sizes, and runtime responsiveness.
Manipulate, create, and analyze Microsoft Word documents with support for tracked changes, comments, and complex formatting.
Implements robust data layer architectures for Flutter applications using the repository pattern, advanced error handling, and resilient data fetching logic.
Downloads YouTube videos with customizable resolution, format, and audio extraction options via yt-dlp.
Builds and maintains robust data pipelines, analytics infrastructure, and ETL processes with high data quality standards.
Identifies and resolves common database performance bottlenecks and inefficient query patterns in modern ORMs.
Consolidates session data, task progress, and git status into unified daily notes and synchronized knowledge bases.
Monitors project progress and suggests archiving completed sessions after pull requests are merged or tasks are finished.
Enforces brand consistency by managing visual identity, voice, and naming standards across all project outputs.
Generates comprehensive system architecture documentation and interactive Mermaid diagrams for modern software patterns.
Facilitates efficient version control by guiding Claude to use Jujutsu (jj) commands, concepts, and workflows instead of Git.
Enhances code quality through iterative refinement, error-proofing design patterns, and lean architectural principles.
Automates comprehensive SEO audits and validation for Next.js applications to ensure search engine visibility and metadata accuracy.
Manages the full lifecycle of user stories by linking requirements directly to code artifacts like migrations and tests.
Transforms pull request feedback into structured training data to continuously improve AI coding performance and code quality.
Implements and optimizes social media metadata to maximize engagement and click-through rates across platforms like Facebook, Twitter/X, and LinkedIn.
Implements robust database strategies for zero-downtime migrations, automated backups, and regulatory data compliance.
Generates dynamic knowledge graphs, system architecture diagrams, and memory timelines to visualize complex AI states.
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