Reinaldy Rafli
Community@aldy505 · Indonesia
That's life, if we had more time, we could live forever.
Agent Skills by Reinaldy Rafli
Showing 23 vetted skills indexed across 1 GitHub repositories.
aldy505commit
Generate Git commit messages following Sentry conventional commit standards.
aldy505web-design-guidelines
Fetch and apply Web Interface Guidelines to review UI code compliance.
aldy505vitest
Run unit tests with Vitest, supporting mocking, snapshots, coverage, and type checking.
aldy505context-engineering-collection
Organize context engineering patterns for multi-agent architectures and memory systems.
aldy505pnpm
Manages Node.js packages with strict dependency resolution and monorepo support.
aldy505agents-md
Generate and maintain concise AGENTS.md documentation for agent onboarding.
aldy505vercel-react-best-practices
Provide React and Next.js performance optimization guidelines from Vercel Engineering.
aldy505vercel-composition-patterns
Guide React component composition with compound components and context providers.
aldy505security-review
Review code for injection, XSS, authentication, and cryptography vulnerabilities.
aldy505skill-template
Create new Agent Skills using a standardized SKILL.md template with frontmatter and Markdown body.
aldy505multi-agent-patterns
Design multi-agent systems with supervisor, swarm, and hierarchical patterns.
aldy505bdi-mental-states
Transform RDF context into BDI agent mental states.
aldy505context-degradation
Diagnose language model context degradation and propose mitigation strategies.
aldy505context-compression
Compress AI agent conversation histories to optimize token usage.
aldy505memory-systems
Implement agent memory systems for state persistence across sessions.
aldy505advanced-evaluation
Implements LLM-as-a-Judge techniques for scoring, pairwise comparison, and bias mitigation.
aldy505context-fundamentals
Explain context engineering concepts for AI agent systems.
aldy505project-development
Guide LLM project development with task-model fit, pipeline architecture, and cost estimation.
aldy505evaluation
Evaluate agent performance using rubrics and test sets.
aldy505context-optimization
Optimize AI context windows using compaction, masking, KV-cache, and partitioning.
aldy505filesystem-context
Store and retrieve agent context using filesystem tools.
aldy505tool-design
Design clear tool APIs and error messages for AI agents.
aldy505hosted-agents
Deploy and manage agents in remote, sandboxed execution environments.