fabric
Intelligent pattern selection for Fabric CLI, automatically choosing from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
541 skills found
Intelligent pattern selection for Fabric CLI, automatically choosing from 242+ specialized prompts for threat modeling, data analysis, summarization, and content creation.
Generates llms.txt and llms-full.txt files to provide LLM-friendly documentation and project context.
Automated, non-destructive proofreading for LaTeX and Quarto lecture files, generating quality reports for grammar, typos, and academic style.
A unified interface for integrating and managing LLM chat providers like OpenAI, Anthropic, Google, Azure, and Bedrock within LangChain applications.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Visual web workspace for roadmap management, providing interactive kanban boards and graph-based dependency views for task planning and project progress tracking.
Deep requirement analysis and documentation skill. Uncover root needs, map stakeholders, resolve conflicts, and define testable specifications with acceptance criteria for software projects.
Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.
Intelligent GitHub release orchestration using AI swarms for automated versioning, multi-platform deployment, testing, and rollback management.
Accessibility best practices and patterns for React applications to ensure WCAG compliance, semantic structure, and inclusive user experiences.
Reverse engineer web APIs by capturing browser traffic (HAR files) and generating production-ready Python API clients for automation and data extraction.
Enforces a strict evidence-before-assertion protocol for coding agents, requiring fresh command-line verification output before any claim of completion, success, or bug fixes.