Explore our collection of Agent Skills to enhance your AI workflow.
Manages and automates structured data logging for knowledge, tasks, and lifelogs using standardized JSONL CRUD operations.
Manages and implements custom ZSH completion scripts to provide intelligent tab-autocomplete for command-line tools.
Automates the creation, editing, and analysis of Word documents with support for tracked changes and complex formatting.
Architects structured business workflows and Domain-Driven Design (DDD) models using the Qlerify framework.
Formats and standardizes WPF XAML and C# codebases using automated toolsets and predefined style configurations.
Automates the development and maintenance of the Vigil Guard n8n security pipeline for advanced threat detection and dual-language PII redaction.
Conducts systematic landscape research, competitive analysis, and evidence-based strategy evaluations to inform technical and business decisions.
Analyzes application workflows and business rules to identify logic-based security vulnerabilities that automated scanners often miss.
Scans source code to identify and mitigate vulnerabilities that could lead to service disruptions or resource exhaustion.
Calculates business-weighted risk scores and generates prioritized remediation roadmaps for the PASTA threat modeling framework.
Provides instant definitions and framework mappings for application security terms and vulnerability classes.
Analyzes source code for privacy regulation violations including GDPR, CCPA, and HIPAA non-compliance.
Identifies and audits source code for privacy threats related to undisclosed data collection, missing consent mechanisms, and transparency gaps.
Analyzes source code and CI/CD pipelines to detect software integrity violations, insecure deserialization, and supply chain vulnerabilities.
Analyzes application architecture and business logic to identify missing security controls and architectural flaws based on OWASP A04:2021.
Audits project dependencies for known vulnerabilities, outdated components, and supply chain risks across multiple programming ecosystems.
Systematically eliminates complex configuration and integration bugs by exploring multiple architectural solutions in parallel using a dedicated test harness.
Automates the final stages of autonomous coding cycles to ensure rapid, hands-off task completion.
Generates interactive, gamified math learning experiences through visual playgrounds and real-time artifact generation.
Generates museum-quality visual art and sophisticated design artifacts through custom-tailored aesthetic philosophies.
Streamlines the management of open pull requests by identifying blockers and executing actions to accelerate merging.
Removes outdated or incorrect learnings from the Shinchan agent team's project knowledge base.
Conducts multi-layered codebase exploration and deep semantic analysis using specialized AI agents.
Initializes complex development tasks by orchestrating a multi-agent team to gather requirements, analyze risks, and manage project states.
Implements robust Auth0 authentication and authorization patterns for Next.js applications.
Implements structured PDCA cycles, Kaizen principles, and root cause analysis to optimize software development lifecycles and team productivity.
Implements efficient state sharing and prop-drilling elimination using React Context API best practices.
Maintains, debugs, and optimizes the autorun hook ecosystem to ensure seamless AI automation and session safety.
Organizes and retrieves project-specific learnings, coding patterns, and architectural decisions to maintain consistency across AI agent interactions.
Enforces universal coding conventions and architectural patterns to ensure clean, maintainable, and production-grade source code.
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