xlsx
Professional-grade spreadsheet automation for Claude: create, edit, analyze, and visualize Excel and CSV files with rigorous formula integrity and financial formatting standards.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
393 skills found
Professional-grade spreadsheet automation for Claude: create, edit, analyze, and visualize Excel and CSV files with rigorous formula integrity and financial formatting standards.
Talent Scout is an AI-powered Apify Actor for automated candidate sourcing. It scrapes LinkedIn, GitHub, and other platforms, then uses LLMs to rank and evaluate developer profiles against job requirements.
A comprehensive aphorism and quote management system for thematic content enrichment, research, and newsletter curation.
Analyze AppWorld task failures to extract specific API patterns and generate actionable playbook bullets with concrete code examples.
Synchronize project documentation with code. Maintains feature specs, API contracts, and READMEs using init-project standards to ensure traceability and completeness.
Audit AI skills for security vulnerabilities including prompt injection, hidden instructions, tool misuse, and data exfiltration risks.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
Deep single-page SEO audit for technical, content, and performance analysis. Includes on-page, schema, image, and E-E-A-T checks to optimize search rankings and user experience.
Automates GitHub release creation by generating formatted changelogs from conventional commits and managing version bumps.
Remove AI-generated patterns and inject natural human voice into your writing. Fixes robotic phrasing, overuse of AI vocabulary, and sterile structure to make text sound authentic.
Automated job search management for the Lofy AI assistant: track applications, tailor resumes, prepare for interviews, manage follow-ups, and analyze career pipelines.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.