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Found 1,062 Skills
Ralph Wiggum persistence loop with intelligent multi-model routing (Gemini, Codex, Claude, Council)
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.
Fix bug command
Use Gemini CLI for research with Google Search grounding and 1M token context
Build feature command
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.
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.
Fast binary analysis with string reconnaissance and static disassembly\ \ (RE Levels 1-2). Use when triaging suspicious binaries, extracting IOCs quickly,\ \ or performing initial malware analysis. Completes in \u22642 hours with automated\ \ decision gates."
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
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.
Twitter/X research via paid API: search tweets with 50+ operators, fetch tweets with threads/replies/quotes, get user profiles with tweets/followers/following. Uses x_payment tool for automatic USDC micropayments ($0.003/call). Use when: (1) searching tweets by keyword, user, or advanced operators, (2) fetching specific tweets by ID/URL with context, (3) looking up user profiles and their activity.
LLM inference via paid API: OpenAI-compatible chat completions proxied through x402 providers. Supports Kimi K2.5, MiniMax M2.5. Uses x_payment tool for automatic USDC micropayments ($0.001-$0.003/call). Use when: (1) generating text with a specific model, (2) running chat completions through a pay-per-request LLM endpoint, (3) comparing outputs across models.