ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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gh-run-failure
Use to analyze failures in GitHub pipelines or jobs.
bkircher/skills 10
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tic-tac-toe-tests
Create or update pytest coverage for the tic-tac-toe project, including win/draw detection, move validation, bot legality/optimality, and mixed human/bot turn flow. Use when adding or editing tests under the tests/ directory.
VictorQian03/tic-tac-toe
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tic-tac-toe-cli
Implement or refactor the Python CLI tic-tac-toe game in this repo, including board model, move validation, win/draw logic, game loop, and bot behavior. Use when working on core gameplay modules or CLI entrypoints for this project.
VictorQian03/tic-tac-toe
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flow-nexus-platform
DNYoussef/context-cascade 27
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agentdb-advanced
DNYoussef/context-cascade 27
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codex-zdr
Zero Data Retention mode for sensitive/proprietary code - no code stored on OpenAI servers
DNYoussef/context-cascade 27
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agentdb-reinforcement-learning-training
AgentDB Reinforcement Learning Training operates on 3 fundamental principles:
DNYoussef/context-cascade 27
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agentdb-optimization
DNYoussef/context-cascade 27
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when-optimizing-agent-learning-use-reasoningbank-intelligence
DNYoussef/context-cascade 27
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agentdb-performance-optimization
Apply quantization to reduce memory by 4-32x. Enable HNSW indexing for 150x faster search. Configure caching strategies and implement batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. Deploy these optimizations to achieve 12,500x performance gains.
DNYoussef/context-cascade 27
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gemini-megacontext
DNYoussef/context-cascade 27
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agentdb-learning
DNYoussef/context-cascade 27
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gemini-codebase-onboard
Use Gemini CLI's 1M token context to understand entire codebases in one pass. Full architecture mapping, pattern discovery, and onboarding documentation.
DNYoussef/context-cascade 27
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codex-auto
DNYoussef/context-cascade 27
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agentdb-vector-search
DNYoussef/context-cascade 27
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codex-reasoning
DNYoussef/context-cascade 27
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codex-safe-experiment
Use Codex CLI sandbox mode to try risky changes safely. Isolated experimentation with network disabled and directory restrictions.
DNYoussef/context-cascade 27
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when-implementing-adaptive-learning-use-reasoningbank-agentdb
DNYoussef/context-cascade 27
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machine-learning
DNYoussef/context-cascade 27
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when-debugging-ml-training-use-ml-training-debugger
DNYoussef/context-cascade 27
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when-developing-ml-models-use-ml-expert
DNYoussef/context-cascade 27
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reasoningbank-intelligence
DNYoussef/context-cascade 27
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codex-iterative-fix
Use Codex CLI in full-auto mode to fix issues iteratively until tests pass. Autonomous debugging and test-fixing loop with sandbox safety.
DNYoussef/context-cascade 27
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advanced-agentdb-vector-search-implementation
Advanced AgentDB Vector Search Implementation operates on 3 fundamental principles:
DNYoussef/context-cascade 27