requirements-engineering
Master the EARS format to transform ambiguous feature ideas into precise, testable requirements, acceptance criteria, and edge case documentation.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
206 skills found
Master the EARS format to transform ambiguous feature ideas into precise, testable requirements, acceptance criteria, and edge case documentation.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.
Foundational guidelines for context engineering: optimizing token budgets, attention mechanics, and system architecture for AI agents.
Production-ready audio/video transcription using OpenAI Whisper. Features model selection, timing synchronization, speaker diarization, and batch processing for media workflows.
Transform raw ideas into structured conference talk scripts using narrative frameworks. Features slide-by-slide content planning, speaker notes, and timing guidance in a tool-agnostic format.
Perform internet searches using the Zhipu AI web search API to retrieve real-time information, news, and current data.
Validates and coordinates batch study guide operations, preventing errors by enforcing template compatibility, file availability, and source-only policies before agent execution.
Audit and optimize your AI prompts with Token Surgeon. Detect 10 common waste patterns, calculate efficiency, and reduce token usage for better prompt performance.
Automates the synchronization of new infographic templates by updating project documentation, gallery mappings, and AI playground prompts.
Verify research idea novelty against recent literature. Use when user says '查新', 'novelty check', or needs to confirm if a method is original.
Standardized structure and templates for project documentation, including READMEs, API references, CLI guides, and directory layouts.
Automate WordPress content publishing with draft workflows, media library integration, and native Hebrew/RTL support.