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Guide for creating Claude Code skills using TDD and persuasion principles.
Audits skill quality and provides improvement recommendations based on detailed analysis.
Enhance the skill improvement process by analyzing past effectiveness and refining strategies.
A plugin marketplace for Claude Code, enhancing coding workflows with 23 plugins.
Review plugin quality with tiered checks and dependency-aware scoping for effective validation.
Evaluate and enhance the quality of Claude skills through comprehensive auditing.
Proactively analyzes codebases to identify bugs, optimizations, and improvements.
Test skills using fresh subagent instances to validate behavior and prevent priming bias.
Evaluate when to escalate models based on reasoning depth and task complexity.
Centralize reusable patterns for validation, error handling, and testing in skill development.
Architectural guidance for skill design and optimization.
Surface expert frameworks and methodologies for skill creation and evaluation.
Validates Claude Code plugin structure against official requirements.
Automates skill improvements using observability data and Hyperagents patterns.
Evaluates skill executions through human feedback for qualitative insights.
Create modular skill components to optimize token usage and manage complexity.
Evaluate hook security, performance, and SDK compliance for audits.
Evaluate and validate Claude Code rules for quality assurance and compliance.
Create secure and efficient Claude Code hooks for validation, logging, and policy enforcement.
Disable skill tracing and remove instrumentation markers for AI models.
Synchronize skills and preferences across multiple AI coding assistants in one operation.
Sync skills and commands from Cursor IDE to AI agents like Claude, Codex, or Copilot.
Sync skills and instructions from GitHub Copilot CLI to various AI agents.
Sync skills and instructions from Claude or Codex directly to GitHub Copilot CLI.
Preview sync changes between AI coding assistants without making actual modifications.
Enable skill tracing to monitor loaded and invoked skills.
Sync skills and commands from AI agents to Cursor IDE effortlessly.
Analyze installed skills for token usage and optimization insights.
Transform any codebase into a self-contained HTML portal app for AI systems.
Monitor skill loading status and tracing across CLI environments.
Compare skills across multiple AI platforms to identify differences.
Create a new skill via GitHub search, LLM generation, or both.
Identify skill gaps in your library and receive tailored suggestions for new skills.
Validate skills for compatibility with Claude Code, Codex, and Copilot CLI.
Sync skills from Claude Code into Codex, Cursor, or Copilot effortlessly.
Retrieve aggregate statistics about discovered skills, including counts and quality metrics.
Skrills is a skills support engine for AI coding assistants, enabling seamless synchronization and validation across multiple CLI environments.
Fuzzy search installed skills by name or description for quick access.