security-audit
Automated security validation, RLS enforcement, OWASP compliance, and vulnerability scanning for AI-assisted development workflows.
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202 skills found
Automated security validation, RLS enforcement, OWASP compliance, and vulnerability scanning for AI-assisted development workflows.
Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.
Draft and optimize LinkedIn posts for 0 Finance using performance-backed hooks, professional storytelling, and strict regulatory compliance guidelines.
AI-driven GitHub Actions automation featuring swarm-based workflow orchestration, intelligent CI/CD pipeline management, and autonomous repository maintenance.
Analyze meeting transcripts to uncover behavioral patterns, communication insights, and leadership feedback. Identify conflict avoidance, filler words, speaking ratios, and active listening to improve your professional presence.
Manage Vibesafe units to scan, generate, test, and verify AI-written code with cryptographically-secure hash-locked checkpoints.
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
A comprehensive security auditing and hardening assistant that applies best practices for authentication, input validation, secrets management, and SQL injection prevention to your codebase.
Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
Validates Excel exports for Customer Feedback Analyzer with 7 specific view sheets, 36 columns, and precise color-coded formatting. Ensures zero errors in customer-facing deliverables.
AI-powered secrets and credentials scanner. Detects hardcoded API keys, passwords, and sensitive data in your codebase with contextual analysis to reduce false positives.