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GitHub-Creator-Profil

Aniket-a14

Repository-Ansicht von 23 gesammelten Skills in 2 GitHub-Repositories.

gesammelte Skills
23
Repositories
2
aktualisiert
2026-07-18
Repository-Explorer

Repositories und repräsentative Skills

crafting-effective-readmes
Softwareentwickler

Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.

2026-05-23
docker-expert
Softwareentwickler

Docker containerization expert with deep knowledge of multi-stage builds, image optimization, container security, Docker Compose orchestration, and production deployment patterns. Use PROACTIVELY for Dockerfile optimization, container issues, image size problems, security hardening, networking, and orchestration challenges.

2026-05-23
mermaid-diagrams
Softwareentwickler

Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.

2026-05-23
next-best-practices
Softwareentwickler

Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling

2026-05-23
vercel-react-best-practices
Softwareentwickler

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

2026-05-23
zod
Softwareentwickler

Zod schema validation best practices for type safety, parsing, and error handling. This skill should be used when defining z.object schemas, using z.string validations, safeParse, or z.infer. This skill does NOT cover React Hook Form integration patterns (use react-hook-form skill) or OpenAPI client generation (use orval skill).

2026-05-23
mermaid-diagrams
Softwareentwickler

Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.

2026-05-23
rag-agent-builder
Softwareentwickler

Build Retrieval-Augmented Generation (RAG) applications that combine LLM capabilities with external knowledge sources. Covers vector databases, embeddings, retrieval strategies, and response generation. Use when building document Q&A systems, knowledge base applications, enterprise search, or combining LLMs with custom data.

2026-05-23
Zeigt die Top 8 von 16 gesammelten Skills in diesem Repository.
cognitive-memory
Sonstige Computerberufe

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.

2026-07-18
elevenlabs-agents
Softwareentwickler

Build conversational AI voice agents with ElevenLabs Platform. Configure agents, tools, RAG knowledge bases, agent versioning with A/B testing, and MCP security. React, React Native, or Swift SDKs. Prevents 34 documented errors. Use when: building voice agents, AI phone systems, agent versioning/branching, MCP security, or troubleshooting @11labs deprecated, webhook errors, CSP violations, localhost allowlist, tool parsing errors.

2026-07-18
prompt-engineering-patterns
Datenwissenschaftler

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

2026-05-21
sovereign-mesh-architect
Softwareentwickler

A high-fidelity development protocol and architectural framework for building and evolving the CVS-1.0 Sovereign Mesh. Enforces contract-first development, parallel codegen, local-first memory integrity, and physically-grounded embodied intelligence.

2026-05-14
solution-architect-agent
Projektmanagementspezialisten

Produces codebase-grounded implementation plans before coding. Use when scoping non-trivial features, refactors, reliability fixes, cross-module changes, or risky behavior updates.

2026-05-10
python-design-patterns
Softwareentwickler

Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing between inheritance and composition for a new class hierarchy, or when a codebase is becoming hard to test because of entangled I/O and business logic.

2026-04-17
neo4j-data-models
Datenbankarchitekten

Neo4j graph data modeling patterns — node/relationship design, fraud detection schemas, and modeling best practices.

2026-04-17
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