codex-mcp
Use this `codex-mcp` skill to instruct another AI Agent to invoke a tool or execute a workflow on your behalf for the following scenario, 1.When you are requested to invoke a mcp tool that you don't have access...
Discover DevOps skills, compare source repositories and read the instructions for each workflow.
Use this `codex-mcp` skill to instruct another AI Agent to invoke a tool or execute a workflow on your behalf for the following scenario, 1.When you are requested to invoke a mcp tool that you don't have access...
Utility scripts for GitHub pull request management. Includes tools for fetching bot-generated review comments (linters, security scanners, dependabot), replying to review threads programmatically, listing merge...
Apply covenant principles as design constraints across all core systems. Use when building agents, prompts, recipes, artifacts, or multi-agent architectures.
Patterns for coordinating multiple AI agents. Use when single-agent context limits are exceeded, tasks decompose naturally, or specialized agents improve quality.
Universal agent configuration patterns for any AI coding environment. Use when configuring steering, specs, or context assembly for Kiro, Claude Code, Codex, Charm, or other agents.
Transform content through eight cognitive lenses for different kinds of understanding. Use when the same concept needs exploration through story, debate, simulation, uncertainty, fiction, embodiment, ritual, or...
Recipe-based context assembly and deployment using slice architecture. Use when building compilation pipelines, extracting documentation slices, or deploying context to multiple targets.
Apply Catppuccin color palettes to configs, stylesheets, and terminal themes. This skill should be used when creating or modifying CSS themes, terminal color schemes, shell prompts (Starship, etc.), or any conf...
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-...
Analyze datasets, generate charts, and create summary reports. Use when the user needs to work with CSV, Excel, or other tabular data formats for analysis or visualization.
Extract text and tables from PDF files, fill PDF forms, and merge multiple PDFs. Use when working with PDF documents or when the user mentions PDFs, forms, or document extraction.
Generates CakePHP test fixtures from migration files, ensuring schema consistency and following project conventions including Configure::read usage
TypeScript best practices, type system usage, and code quality standards
Validates deliverables against specifications and provides verification evidence
Validates PHP test files for CakePHP projects, ensuring compliance with testing standards including proper documentation format, Configure::read usage, and avoiding prohibited patterns
Implements production code for PHP/CakePHP applications based on functional design specifications
Comprehensive code review guidelines for React 19 TypeScript projects
Designs database schemas and migrations for PHP/CakePHP applications with multi-tenant support
React 19 architectural patterns, component design, and best practices
Validates CakePHP migration files and ensures consistency between migrations, fixtures, and database schemas in multi-database environments
Quality gates and acceptance criteria for Next.js 15 App Router projects
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.