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Topic: pytorch

64 skills in this topic.

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
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
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
json-formatter Validate, format, and minify JSON files when users request JSON validation, formatting, or ask to validate their JSONs
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
sparc-methodology SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
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
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
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