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zebbern / claude-code-guide-network-101 exact

This skill should be used when the user asks to "set up a web server", "configure HTTP or HTTPS", "perform SNMP enumeration", "configure SMB shares", "test network services", or needs guidance on...

zebbern / claude-code-guide-pentest-commands exact

This skill should be used when the user asks to "run pentest commands", "scan with nmap", "use metasploit exploits", "crack passwords with hydra or john", "scan web vulnerabilities with nikto",...

zebbern / claude-code-guide-cloud-penetration-testing exact

This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test...

zebbern / claude-code-guide-windows-privilege-escalation exact

This skill should be used when the user asks to "escalate privileges on Windows," "find Windows privesc vectors," "enumerate Windows for privilege escalation," "exploit Windows misconfigurations,"...

zebbern / claude-code-guide-privilege-escalation-methods exact

This skill should be used when the user asks to "escalate privileges", "get root access", "become administrator", "privesc techniques", "abuse sudo", "exploit SUID binaries", "Kerberoasting",...

zebbern / claude-code-guide-html-injection-testing exact

This skill should be used when the user asks to "test for HTML injection", "inject HTML into web pages", "perform HTML injection attacks", "deface web applications", or "test content injection...

Arize-ai / phoenix-phoenix-evals exact

Build and run evaluators for AI/LLM applications using Phoenix.

pdd 0.00
mikeyobrien / ralph-orchestrator-pdd exact

This sop guides you through the process of transforming a rough idea into a detailed design document with an implementation plan and todo list. It follows the Prompt-Driven Development methodology...

mikeyobrien / ralph-orchestrator-code-assist exact

This sop guides the implementation of code tasks using test-driven development principles, following a structured Explore, Plan, Code, Commit workflow. It balances automation with user...

mikeyobrien / ralph-orchestrator-code-task-generator exact

This sop generates structured code task files from rough descriptions, ideas, or PDD implementation plans. It automatically detects the input type and creates properly formatted code task files...

mikeyobrien / ralph-orchestrator-evaluate-presets exact

Use when testing Ralph's hat collection presets, validating preset configurations, or auditing the preset library for bugs and UX issues.

mikeyobrien / ralph-orchestrator-release-bump exact

Use when bumping ralph-orchestrator version for a new release, after fixes are committed and ready to publish

mikeyobrien / ralph-orchestrator-ralph-tools exact

Use when managing runtime tasks or memories during Ralph orchestration runs

mikeyobrien / ralph-orchestrator-find-code-tasks exact

Lists all code tasks in the repository with their status, dates, and metadata. Useful for getting an overview of pending work or finding specific tasks.

mikeyobrien / ralph-orchestrator-tui-validate exact

Validates Terminal User Interface (TUI) output using freeze for screenshot capture and LLM-as-judge for semantic validation. Supports both visual (PNG/SVG) and text-based validation modes.

mikeyobrien / ralph-orchestrator-ralph-memories exact

Use when discovering codebase patterns, making architectural decisions, solving recurring problems, or learning project-specific context that should persist across sessions

mikeyobrien / ralph-orchestrator-create-hat-collection exact

Generates new Ralph hat collection presets through guided conversation. Asks clarifying questions, validates against schema constraints, and outputs production-ready YAML files.

mikeyobrien / ralph-orchestrator-pr-demo exact

Use when creating animated demos (GIFs) for pull requests or documentation. Covers terminal recording with asciinema and conversion to GIF/SVG for GitHub embedding.

Arize-ai / phoenix-phoenix-tracing exact

OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.