Explore our collection of Agent Skills to enhance your AI workflow.
Automates fuzz testing for Rust projects using libFuzzer to identify memory leaks, crashes, and edge-case vulnerabilities.
Audits local code changes for security vulnerabilities, logic bugs, and quality issues using a rigorous multi-phase inspection process.
Manages agent memory and context bloat by offloading large datasets, plans, and tool outputs to the filesystem for just-in-time retrieval.
Provides expert guidance for designing and implementing distributed multi-agent architectures to scale task complexity beyond single-context limits.
Writes user-facing copy, UI text, and documentation following Sentry's specific brand guidelines and voice tones.
Analyzes repository structures to generate optimized Claude Code settings and secure read-only permissions.
Plans and evaluates engineering-as-marketing tools to drive lead generation, SEO value, and brand awareness.
Maximizes LLM context efficiency and reduces token costs through strategic compaction, masking, and partitioning techniques.
Implements production-grade LLM-as-a-judge techniques to evaluate AI outputs using direct scoring, pairwise comparison, and bias mitigation.
Prepares codebases for professional security reviews by automating static analysis, increasing test coverage, and generating comprehensive technical documentation.
Automates the cycle of fixing CI failures and addressing code review feedback until pull requests pass all checks.
Scans codebases for security vulnerabilities, bugs, and style violations using fast, pattern-based static analysis.
Scans Solana and Anchor programs to identify and remediate critical security vulnerabilities including arbitrary CPI and improper PDA validation.
Automates the creation and maintenance of foundational product positioning and marketing documentation directly within your repository.
Detects and remediates timing side-channel vulnerabilities in cryptographic implementations to prevent secret data leakage.
Executes complex implementation plans by dispatching specialized subagents for task-specific coding and multi-stage quality reviews.
Scans Substrate FRAME pallets for critical vulnerabilities including arithmetic overflows, panic-driven DoS, and incorrect weight calculations.
Provides foundational strategies for managing AI agent context windows, attention mechanics, and token usage to improve model performance.
Provides expert guidance for interpreting, troubleshooting, and fixing n8n workflow validation errors and warnings.
Provides expert guidance and implementation patterns for writing compliant Python code within n8n workflow nodes.
Extracts closed captions and multi-language subtitles from YouTube videos for accessibility, quoting, and content analysis.
Audits Algorand smart contracts for 11 critical security vulnerabilities, including rekeying attacks and unchecked transaction fields.
Generates high-converting competitor comparison pages and alternative guides to boost SEO and sales enablement.
Analyzes and interprets DWARF debug information to assist with binary analysis and low-level software development.
Orchestrates multiple independent AI agents to resolve disparate bugs and test failures simultaneously.
Standardizes the finalization of development work by verifying tests and guiding structured integration or cleanup options.
Analyzes marketing pages to provide actionable recommendations and copy alternatives that increase conversion rates.
Audits Django codebases to identify and fix validated database performance bottlenecks like N+1 queries and unbounded querysets.
Implements scalable React architecture patterns to eliminate prop drilling and build flexible, high-quality component libraries.
Executes multi-step implementation plans through systematic batch processing and periodic architect review checkpoints.
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