Automation skills

This skill orchestrates a Python script to rapidly generate diverse solution options for a defined problem without initial analysis.

This skill orchestrates planning and execution for complex tasks, guiding you through structured milestones and actionable workflows.

This skill synchronizes repository documentation by auditing, migrating content, and updating CLAUDE.md and README.md to maintain accurate navigation.

This skill detects and resolves incoherence between documentation, code, and specs, guiding iterative alignment across implementation.

This skill immediately invokes the prompt-engineering workflow via a Python script to optimize prompts without preliminary analysis, accelerating scope-driven

This skill orchestrates an immediate refactor analysis by running a scripted workflow to identify technical debt and code quality improvements.

This skill helps you analyze firmware and extract embedded filesystems using ffind, identifying artifact types and enabling deep filesystem inspection.

This skill helps you discover and enumerate WS-Discovery devices like ONVIF cameras on your network, returning endpoints, device details, and service locations.

This skill analyzes IoT network traffic to detect protocols and vulnerabilities, helping you secure devices and identify unencrypted communications.

This skill guides professional network reconnaissance with nmap, enabling quick port discovery, service detection, and structured results for IoT assessments.

This skill helps you solve CTF reverse engineering challenges by guiding systematic static and dynamic analysis to extract flags and keys.

This skill performs initial binary triage by surveying memory layout, strings, imports, and functions to quickly summarize a binary's behavior.

This skill helps you automate writing natural, valuable Reddit comments by exploring subreddits, analyzing posts, personalizing responses, and tracking results.

This skill helps you craft robust tests by enforcing behavior-driven patterns, public API testing, and factory-based data creation for reliable coverage.

This skill monitors session context health, detects repeats and uncertainty, and auto-saves state to prevent context rot.

This skill helps you design and deploy visual DAG-based AI pipelines by connecting Gradio Spaces, HuggingFace models, and Python functions.

This skill creates executable phase plans with 2-3 task waves, dependency graphs, and goal-backward verification for rapid solo development.

This skill enforces empirical validation by generating and presenting concrete evidence for changes, ensuring tasks are complete only after verifiable results.

This skill executes GSD plans atomically, creates per-task commits, handles deviations, and generates summaries and state updates for traceable progress.

This skill converts vague feature ideas into clear, testable requirements using the EARS format, capturing user stories, criteria, and edge cases for

This skill analyzes input to route to existing skills, improve them, or create new ones, ensuring quality and non-duplication.