Explore our collection of Agent Skills to enhance your AI workflow.
Automates staff absence tracking and substitute coverage reporting using Red Rover API data.
Drafts publication-ready methods and findings sections for qualitative research using advanced evidence presentation strategies.
Optimizes React and Next.js applications using Vercel's engineering standards for performance, bundle size, and efficient rendering.
Provides comprehensive tools for molecular analysis, chemical property calculation, and 3D structure generation within scientific research workflows.
Restores project continuity and working state from the Claude Journal after session resets or history clearing.
Streamlines Claude Code plugin development by symlinking local directories to the plugin cache for instant testing.
Provides a unified data model and CLI operational rules for Git-native requirements management within AI development workflows.
Automates scientific hypothesis generation and testing by combining observational data with literature insights using large language models.
Drafts evidence-based case justification and research setting sections for sociology journal articles based on systematic genre analysis.
Integrates the Codex CLI into Claude Code to enable high-reasoning planning and multi-agent execution patterns.
Automates code linting and type checking to ensure high-quality, bug-free codebases during the AI-assisted development process.
Automates linting and type checking to ensure code consistency and prevent errors before commits.
Automatically synchronizes terminal window titles with your current project and task context using intelligent topic detection.
Ensures codebase integrity through automated type checking, linting, and formatting within the Claude Code environment.
Synchronizes technical documentation across README.md, CLAUDE.md, and project docs to maintain a consistent source of truth.
Enforces scenario-driven end-to-end testing using real dependencies and live data to ensure features are truly validated before completion.
Integrates Codex CLI command patterns into Claude Code to enable advanced multi-agent planning and high-reasoning execution.
Accesses the Human Metabolome Database to retrieve chemical properties, clinical biomarkers, and spectral data for metabolomics research.
Automates and validates tsyringe DI container registrations for Clean Architecture and DDD projects.
Automates the removal of stale git branches and worktrees while synchronizing task status across Linear and local markdown files.
Validates code integrity by performing automated linting and type checking to ensure high-quality, production-ready implementations.
Converts PDF documents into structured, clean Markdown using fast text extraction or vision-based analysis for complex layouts.
Ensures high-standard code integrity by automating comprehensive linting, type checking, and formatting fixes within the development workflow.
Systematically applies structural modifications, review feedback, and bulk updates to specifications with built-in validation and rollback support.
Automates and troubleshoots GitHub CLI authentication to ensure seamless repository access and workflow integration.
Enforces 99.1% pure engineering discipline by challenging assumptions, defining explicit scope, and ensuring root-cause fixes without half measures.
Ensures code integrity by running automated linting and type checks within the Claude Code environment.
Validates codebase integrity through automated linting and type-checking workflows.
Manages NocoDB databases, tables, and records through a comprehensive REST API interface for seamless no-code data orchestration.
Drafts publication-ready sociology Results sections by integrating quantitative and qualitative evidence using structures from top-tier academic journals.
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