ReddRadar
Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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when-using-flow-nexus-platform-use-flow-nexus-platform
DNYoussef/context-cascade 27
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when-using-advanced-vector-search-use-agentdb-advanced
DNYoussef/context-cascade 27
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multi-model
DNYoussef/context-cascade 27
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sql-database-specialist
DNYoussef/context-cascade 27
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agentdb-learning-plugins
Create AI learning plugins using AgentDBs 9 reinforcement learning algorithms. Train Decision Transformer, Q-Learning, SARSA, and Actor-Critic models. Deploy these plugins to build self-learning agents, implement RL workflows, and optimize agent behavior through experience. Apply offline RL for safe learning from logged data.
DNYoussef/context-cascade 27
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codex-audit
Use Codex CLI for sandboxed auditing, debugging, and autonomous prototyping
DNYoussef/context-cascade 27
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agentdb-memory-patterns
DNYoussef/context-cascade 27
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when-training-rl-agents-use-agentdb-learning
DNYoussef/context-cascade 27
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flow-nexus-neural
DNYoussef/context-cascade 27
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when-implementing-persistent-memory-use-agentdb-memory
DNYoussef/context-cascade 27
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when-developing-ml-models-use-ml-expert
DNYoussef/context-cascade 27
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when-building-semantic-search-use-agentdb-vector-search
DNYoussef/context-cascade 27
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codex-sandbox
Run code in Codex fully isolated sandbox - network disabled, CWD only, Seatbelt/Docker isolation
DNYoussef/context-cascade 27
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ml-expert
DNYoussef/context-cascade 27
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agentdb-semantic-vector-search
---
DNYoussef/context-cascade 27
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conventional-commit
Generate commit messages by analyzing git diff following Conventional Commits format. Use when user says "commit", "commit my changes", "write a commit message", "what should I commit as", needs help describing changes, or is about to commit without a message.
poindexter12/claude-flow
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branch-naming
poindexter12/claude-flow
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document-conversion
Harryoung/efka 96
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satisfaction-feedback
Harryoung/efka 96
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large-file-toc
Harryoung/efka 96
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expert-routing
Harryoung/efka 96
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excel-parser
Smart Excel/CSV file parsing with intelligent routing based on file complexity analysis. Analyzes file structure (merged cells, row count, table layout) using lightweight metadata scanning, then recommends optimal processing strategy - either high-speed Pandas mode for standard tables or semantic HTML mode for complex reports. Use when processing Excel/CSV files with unknown or varying structure where optimization between speed and accuracy is needed.
Harryoung/efka 96
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batch-notification
Harryoung/efka 96
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datum-system
Helps work with the b00t datum system - TOML-based configuration for AI models,
providers, and services. Datums are stored in ~/.dotfiles/_b00t_/ and specify
WHICH environment variables are required (not the values). Enables DRY approach
by centralizing configuration in Rust, exposed to Python via PyO3.
elasticdotventures/_b00t_ 12