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Found 40 Skills
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent performance.
Create architecture solution design decisions for AI agent consistency. Use when the user says "lets create architecture" or "create technical architecture" or "create a solution design"
Interactive guide to repository workflow system: agents, skills, routing, and execution patterns. Use when user asks how the system works, what commands are available, or how to use brainstorm/plan/execute phases. Use for "how does this work", "what can you do", "explain workflow", "help me understand", or "show me the process". Do NOT use for actually executing workflows (use workflow-orchestrator) or debugging (use systematic-debugging).
Design domain-specific agent teams, define specialized agents, and generate the skills they use. Use when you need to decompose a complex project into coordinated multi-agent teams, choose the right architecture pattern (pipeline, fan-out/fan-in, expert pool, producer-reviewer, supervisor, hierarchical delegation), generate .claude/agents/ and .claude/skills/ files, or validate and iterate on generated harnesses. Triggers on: harness, build a harness, design agent team, agent team architecture, multi-agent skill generation, set up harness, harness engineering, domain agent team, harness for this project.
Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
Repository housekeeping workflows for AGENTS/CLAUDE architecture, progressive disclosure, and migration of legacy monolithic instruction files.
Universal text artifact optimizer using GEPA's optimize_anything API for code, prompts, agent architectures, configs, and more
Quality review skill for verifying complex changes against criteria. Use for multi-file changes, new features, or before important commits. Skip for trivial fixes and quick iterations.
Comprehensive BD intelligence research skill for KServe's business development team. Use this skill whenever a user provides a company name (and optionally a website or address) and wants to research that company as a potential outsourcing client. Triggers on phrases like "research [company]", "look up [company]", "get me info on [company]", "do a BD profile for [company]", "check out this company", or any request to investigate a prospect company for sales or outreach purposes. Always use this skill when the context is about finding potential clients for KServe's BPO services.