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Topic: ai

10,359 skills in this topic.

autobench
diegopacheco/ai-playground 15
runbook-generator Reads the full codebase, detects service architecture and dependencies, then generates operational runbooks for common failure modes into runbook.md.
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
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
vsdd Verified Spec-Driven Development (VSDD) workflow. Fuses SDD + TDD + VDD into a single AI-orchestrated pipeline. Enforces: Spec Crystallization -> Test-First Implementation -> Adversarial Refinement -> Formal Hardening -> Convergence. Use when user invokes /vsdd.
diegopacheco/ai-playground 15
V3 MCP Optimization MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
diegopacheco/ai-playground 15
V3 Performance Optimization Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.
diegopacheco/ai-playground 15
V3 Swarm Coordination 15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
diegopacheco/ai-playground 15
Verification & Quality Assurance Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
diegopacheco/ai-playground 15
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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
infra-automation-generator
diegopacheco/ai-playground 15
grafana-generator Reads the entire codebase, detects Java/Spring Boot, Rust/Actix+Axum, Python/Django, or Go/Gin, discovers all HTTP endpoints, and generates a working Grafana + Prometheus + node_exporter observability stack with podman-compose. Dashboard includes machine metrics (CPU, memory, disk, I/O, network) and application metrics (request counters, error counters, latency p50/p70/p90/p95/p99/p99.9 per endpoint).
diegopacheco/ai-playground 15
bruno-generator Scans the entire codebase, detects all HTTP/API endpoints across Java/Spring Boot, Node/Express, Go/Gin, Rust/Actix+Axum, Python/Django, and generates a complete Bruno API client project with .bru files, sample requests, and environments.
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
json-formatter Validate, format, and minify JSON files when users request JSON validation, formatting, or ask to validate their JSONs
diegopacheco/ai-playground 15
V3 Deep Integration Deep agentic-flow@alpha integration implementing ADR-001. Eliminates 10,000+ duplicate lines by building claude-flow as specialized extension rather than parallel implementation.
diegopacheco/ai-playground 15
V3 Memory Unification Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).
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
cook
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