Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
434 skills found
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
Structured reasoning tool for complex problem decomposition, step-by-step analysis, consistency verification, and evidence-based synthesis with confidence scoring.
Writes, executes, and refines SQL queries, from basic selects to complex multi-table joins, aggregations, and subqueries for data retrieval and reporting.
Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.
Expert Rust analysis for ownership, borrowing, and lifetime errors, including E0382, E0597, and memory safety patterns.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Automates the creation of draft GitHub pull requests using conventional commit standards and strict validation workflows.
Pre-execution security guardrails for AI agents. Validates shell commands and file reads against 400+ security patterns to block destructive operations, credential theft, and unauthorized system access.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.
Perform comprehensive SEO audits covering technical foundations, crawlability, on-page optimization, and content E-E-A-T to improve search rankings and organic performance.
Technical SEO audit skill for crawlability, indexability, and Core Web Vitals analysis. Use to audit webpages, validate schema, and fix technical performance issues.