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