AI Agent Skills Marketplace

Reviews your code for bugs, security vulnerabilities, logic errors, performance issues, and style violations. Organizes findings by severity and suggests fixes with code examples.

Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

Professional QA & UAT documentation generator for AI automation agencies and complex agent deployments.

Catches dangerous database migrations before they hit production. Reviews schema changes for locking hazards, data loss, missing rollbacks, and index issues across PostgreSQL, MySQL, and SQLite.

SEO optimizer and banned-word scanner for Chinese social media. Keyword optimization and advertising law compliance.

Professional API design and review skill for REST, GraphQL, and event-driven architectures.

A premium library of 399 vulnerability patterns and DeFi attack vectors for AI-driven bug hunting and security audits.

Generates a complete, polished README.md by scanning your actual project structure, dependencies, and code.

Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.

Transform URLs or product lists into SEO keyword research packs with Google Ads data and intent-based clustering.

Evaluate market opportunities with technical decomposition, directional sizing, and measurable next-move recommendations.

A production-grade 5-stage subagent dispatch chain to catch bugs and secure solo SaaS deployments.

Professional security audit skill for web apps and APIs with structured severity-based findings and remediation plans.

Automate Google NotebookLM: create notebooks, add sources, and generate AI audio/podcasts via Python or CLI.

Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.

Writes clear pull request descriptions by analyzing your branch diff. Covers what changed, why, how, and what to test. Works with GitHub, GitLab, and Bitbucket.

Transform business ideas into rigorous, scenario-based execution plans with explicit assumptions and KPIs.

prompt-engineer

by Roy Yuen

Popular

Free

Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.

RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.

Every AI-built UI looks generic and templated. This skill teaches your agent to actually match the design to the project, the industry, and the audience.

Diagnoses why your project will not start. Checks runtime versions, dependencies, environment variables, databases, ports, and build artifacts systematically.

Professional prompt engineering, audit, and evaluation system for production-grade AI agents and workflows.

Autonomous research and task loop that builds on previous findings to solve complex objectives while you sleep.