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Topic: model

55 skills in this topic.

deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
AgentDB Vector Search Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
diegopacheco/ai-playground 15
autobench
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
AgentDB Performance Optimization Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
diegopacheco/ai-playground 15
AgentDB Memory Patterns Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
diegopacheco/ai-playground 15
AgentDB Learning Plugins Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
diegopacheco/ai-playground 15
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.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates deployer agents (backend, frontend, database, testing, review) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
deployer-workflow Full-stack development workflow that orchestrates all deployer agents (backend, frontend, database, testing, review, documentation) in a phased pipeline. Asks which backend language (Java/Go/Rust) then runs all agents.
diegopacheco/ai-playground 15
V3 Security Overhaul Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
diegopacheco/ai-playground 15
skill-evaluator This skill should be used when the user asks to "evaluate a skill", "review skill quality", "score my skill", "check skill best practices", "rate my skills", "evaluate all skills", "compare skills", or wants to assess skill quality across criteria like clarity, token efficiency, anti-cheating, quality gates, determinism, scope discipline, error recovery, observability, and idempotency.
diegopacheco/ai-playground 15
metrics-report Scan an entire codebase, discover and run all test types, compute hybrid coverage, evaluate quality, and generate a full metrics report website with trends and charts.
diegopacheco/ai-playground 15
leak-detect Scan code for leaked PII, secrets/credentials, and security vulnerabilities that would get you hacked in production.
diegopacheco/ai-playground 15
spring-boot-helper Expert knowledge of Spring Boot 4 and Spring AI 2.0 including auto-configuration, ChatClient, advisors, tool calling, agent patterns, and Spring Framework 7 features. Use when the user asks about Spring Boot, Spring AI, dependency injection, REST APIs, agent configuration, or Spring ecosystem questions.
diegopacheco/ai-playground 15
java-expert Expert knowledge of Java 25 features including virtual threads, pattern matching, records, sealed classes, value types, and Project Loom/Valhalla features. Use when the user asks about Java programming, Java 25 features, concurrency, performance optimization, or modern Java idioms.
diegopacheco/ai-playground 15
cook
diegopacheco/ai-playground 15
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
diegopacheco/ai-playground 15
infra-automation-generator
diegopacheco/ai-playground 15
threat-analyst Maps all external-facing endpoints, inputs, and auth boundaries. Scans the whole codebase and produces threat-analysis.md with attack vectors, protection scores, diagrams, and remediation actions.
diegopacheco/ai-playground 15