troubleshooting-docs
Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
523 skills found
Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.
Automated toolkit for creating, maintaining, and enhancing CLAUDE.md files to ensure your project's AI-assisted development guidelines are always accurate, modular, and best-practice compliant.
Generate high-quality images via a local ComfyUI instance. Perfect for private workflows and professional-grade AI image synthesis.
Maintains a centralized architecture overview with Mermaid diagrams to document system boundaries, module dependencies, and interface contracts for onboarding and refactoring.
Manage Navigator task documentation: create implementation plans, archive completed features, and maintain the task index for Claude Code workflows.
Security-first auditing framework for AI-generated code. Provides multi-level protection including hardcoded secret detection, dangerous pattern identification, and comprehensive vulnerability audits for modern web applications.
Search codebases efficiently using ripgrep for lightning-fast text patterns and ast-grep for precise, syntax-aware structural code analysis.
Manage AWS Identity and Access Management: configure users, roles, policies, and permissions for secure cloud environments.
Standardized technical documentation templates for ADRs, runbooks, architecture, and knowledge transfer in AI agent workflows.
Standardized structure and templates for project documentation, including READMEs, API references, CLI guides, and directory layouts.
Pre-implementation confidence assessment tool for developers. Ensures 90%+ readiness via duplicate checks, architecture compliance, official docs verification, and root cause analysis.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.