context-driven-testing
Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.
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162 skills found
Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.
Master workflow controller for Lovable-style, AI-driven development. Instantly generates premium, multi-page, animated applications by routing to specialized sub-agents. No prompts needed—just build.
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Self-maintaining skill for OpenCode agents to update documentation, capture learnings, and extend tool/agent capabilities dynamically.
Analyze Claude Code session history to identify inefficiencies, optimize token usage, and suggest workflow improvements.
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.
Intelligent orchestration for dispatching tasks to specialized background agents with performance-based routing and execution tracking.
Pull validated startup project data and AI-generated build specifications from CoFounder.im to autonomously orchestrate development in OpenClaw.
Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.
A standardized workflow for converting raw PM notes, workshops, or rough drafts into polished, validated, and repository-compliant AI skills.
AI-powered video editing agent for talking head videos, featuring speech-to-text, disfluency detection, and browser-based review workflows.