ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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when-mapping-dependencies-use-dependency-mapper
DNYoussef/context-cascade 27
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recursive-improvement
DNYoussef/context-cascade 27
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eval-harness
DNYoussef/context-cascade 27
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improvement-pipeline
DNYoussef/context-cascade 27
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documentation
DNYoussef/context-cascade 27
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when-documenting-code-use-doc-generator
DNYoussef/context-cascade 27
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when-documenting-code-use-doc-generator
DNYoussef/context-cascade 27
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build-feature
Build feature command
DNYoussef/context-cascade 27
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reflect
Extract learnings from session corrections and patterns, update skill files with persistent memory. Implements Loop 1.5 - per-session micro-learning between execution and meta-optimization.
DNYoussef/context-cascade 27
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when-mapping-dependencies-use-dependency-mapper
DNYoussef/context-cascade 27
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e2e-test
End-to-end testing workflow for validating complete user journeys through web applications using claude-in-chrome MCP. Specializes in test assertions, suite organization, evidence collection, and pass/fail reporting.
DNYoussef/context-cascade 27
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browser-automation
Complex browser automation workflow using claude-in-chrome MCP with mandatory sequential-thinking planning. Use when automating multi-step web interactions, form filling, navigation sequences, or web scraping.
DNYoussef/context-cascade 27
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pilot-1-code-formatter
DNYoussef/context-cascade 27
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visual-art-composition
DNYoussef/context-cascade 27
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physics-simulation-creator
DNYoussef/context-cascade 27
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web-scraping
Structured data extraction from web pages using claude-in-chrome MCP with sequential-thinking planning. Focus on READ operations, data transformation, and pagination handling for multi-page extraction.
DNYoussef/context-cascade 27
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visual-testing
Screenshot-based visual comparison and regression testing using claude-in-chrome MCP. Captures, compares, and validates UI states to detect layout shifts, visual bugs, and design regressions across viewports.
DNYoussef/context-cascade 27
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gemini-research
Use Gemini CLI for research with Google Search grounding and 1M token context
DNYoussef/context-cascade 27
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multi-model-discovery
Use Gemini to find existing solutions before building from scratch. Leverages Google Search grounding to discover code examples, libraries, and best practices to avoid reinventing the wheel.
DNYoussef/context-cascade 27
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agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
DNYoussef/context-cascade 27
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reasoningbank-with-agentdb
Implement ReasoningBank adaptive learning with AgentDBs 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
DNYoussef/context-cascade 27
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platform
DNYoussef/context-cascade 27
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when-training-neural-networks-use-flow-nexus-neural
DNYoussef/context-cascade 27
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when-deploying-cloud-swarm-use-flow-nexus-swarm
DNYoussef/context-cascade 27