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Claude Skills by ssrjkk

github.com/ssrjkk
159 skillsA× 1592 installs55 views
Agent DevelopmentA

Build reliable LLM agents and agentic workflows: tool use, memory, loops, guardrails, and evaluation. Use for autonomous AI systems.

ai-agentspythongo
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2
Few Shot LearningA

Designs and curates few-shot examples to guide LLM behavior, including example selection, formatting, and ordering. Use for task specification without fine-tuning.

ai-agentspythongo
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2
Function CallingA

Implement robust LLM function/tool calling: schemas, multi-call handling, validation, error recovery, and structured execution. Use for agent tool use.

ai-agentspythongo
0
2
Llm EvalsA

Build evaluation suites for LLM applications: golden datasets, metrics, LLM-as-judge, regression gates, and CI integration. Use for trustworthy model behavior.

ai-agentspythonrust
0
2
Llm FinetuningA

Fine-tunes open-source LLMs (Llama, Mistral, Qwen) using LoRA/QLoRA with HuggingFace and Unsloth. Use for domain-specific model adaptation.

ai-agentspythongo
0
2
Mcp ServersA

Build Model Context Protocol servers and clients: tools, resources, prompts, transport, and secure agent integration. Use for connecting agents to external systems.

ai-agentstypescriptpython
0
2
MlopsA

Operate machine learning in production: experiment tracking, pipelines, model registry, serving, monitoring, and CI/CD for ML. Use for ML lifecycle.

ai-agentspythongo
0
2
Prompt CachingA

Optimize LLM cost and latency with prompt caching: cacheable prefixes, cache-control headers, context layout, and cache-aware prompting. Use for high-volume apps.

ai-agentspythongo
0
2
Prompt EngineeringA

Design effective prompts for LLMs: role framing, structured output, chain-of-thought, few-shot, and evaluation. Use to get reliable model behavior.

ai-agentspythonrust
0
2
Rag PipelineA

Build retrieval-augmented generation pipelines: chunking, embeddings, vector search, hybrid retrieval, and citation. Use for grounded LLM answers over your data.

ai-agentspythongo
0
2
Deno RuntimeA

Deno runtime and standard library

ai-agentsjavascripttypescript
0
2
DjangoA

Build secure web applications with Django: models, views, ORM, admin, auth, REST APIs, and deployment. Use for Python web backends.

ai-agentspythonrust
0
2
ExpressA

Build Node.js web APIs with Express: routing, middleware, error handling, validation, and production hardening. Use for Node backends.

ai-agentsjavascripttypescript
0
2
FastapiA

Build high-performance Python APIs with FastAPI: routing, Pydantic validation, async, dependency injection, OpenAPI, and testing. Use for any Python backend.

ai-agentspythongo
0
2
Go Rest ApiA

Build production REST APIs in Go with the standard library or Gin, including routing, middleware, JSON handling, and testing. Use for performant backends.

ai-agentsgobash
0
2
GrpcA

Build high-performance services with gRPC: protobuf schemas, unary/streaming RPCs, interceptors, and error handling. Use for inter-service communication.

ai-agentspythongo
0
2
NestjsA

Creates Node.js server-side applications with NestJS, modules, dependency injection, and decorators. Use for enterprise-grade Node.js APIs.

ai-agentstypescriptgo
0
2
Rest Api DesignA

Design consistent REST APIs: resource modeling, status codes, pagination, versioning, error contracts, and documentation. Use for any API design task.

ai-agentspythongo
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2
Rust TokioA

Async Rust with Tokio runtime

ai-agentsrustgo
0
2
Zk ProofsA

Zero-knowledge proof development

ai-agentsjavascriptgo
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2
ElasticsearchA

Design and operate Elasticsearch: mappings, indexing, queries, aggregations, and cluster tuning. Use for search and log analytics.

ai-agentspythongo
0
2
PandasA

Analyze and transform tabular data with pandas: dataframes, cleaning, aggregation, joins, and time series. Use for any data analysis or ETL task.

ai-agentspythongo
0
2
Sql QueryingA

Write correct and efficient SQL: joins, aggregations, window functions, CTEs, and query optimization. Use for any relational data access.

ai-agentsgobash
0
2
MongodbA

Design and operate MongoDB: document modeling, queries, indexes, aggregation, replication, and sharding. Use for flexible NoSQL data.

ai-agentspythongo
0
2
PostgresqlA

Design and operate PostgreSQL databases: schema design, indexing, query optimization, transactions, and migrations. Use for any relational data layer.

ai-agentsgobash
0
2
Prisma OrmA

Models databases and writes type-safe queries with Prisma ORM. Use for modern Node.js/TypeScript database access.

ai-agentstypescriptgo
0
2
RedisA

Use Redis for caching, sessions, queues, rate limiting, and pub/sub: data structures, persistence, eviction, and clustering. Use for any high-performance data layer.

ai-agentspythongo
0
2
Vector DatabasesA

Design and operate vector databases for semantic search and RAG: embeddings, indexes (HNSW), filtering, hybrid search, and scaling. Use for AI retrieval.

ai-agentspythongo
0
2
ElectronA

Builds cross-platform desktop applications with Electron, React, and IPC communication. Use for native desktop apps with web tech.

ai-agentsjavascriptgo
0
2
Aws LambdaA

Builds and deploys serverless functions with AWS Lambda, API Gateway, and SAM/CDK. Use for event-driven architectures.

ai-agentstypescriptgo
0
2
Cloud Native AiA

Cloud-native AI deployment patterns

ai-agentsgobash
0
2
DockerA

Containerize applications with Docker: Dockerfiles, images, networking, volumes, compose, and production hardening. Use for any deployable service.

ai-agentsgoshell
0
2
Github ActionsA

Automate CI/CD with GitHub Actions: workflows, jobs, matrices, caching, artifacts, and reusable workflows. Use for build, test, and deploy pipelines.

ai-agentspythonrust
0
2
Gitlab CiA

Configures GitLab CI/CD pipelines with stages, jobs, and GitLab Runner. Use for Git-native automation and deployment.

ai-agentsgobash
0
2
KafkaA

Design and operate Kafka event streaming: topics, producers, consumers, consumer groups, partitioning, and exactly-once. Use for event-driven systems.

ai-agentspythongo
0
2
KubernetesA

Deploy and operate applications on Kubernetes: workloads, services, config, scaling, and GitOps. Use for container orchestration at scale.

ai-agentsgobash
0
2
Observability LlmA

LLM observability with Langfuse/LangSmith

ai-agentspythongo
0
2
Platform EngineeringA

Platform engineering with Backstage/Port

ai-agentsgobash
0
2
Prometheus GrafanaA

Set up monitoring with Prometheus and Grafana: metrics, exporters, alerting rules, dashboards, and SLO tracking. Use for observability.

ai-agentspythongo
0
2
Serverless AiA

Serverless AI inference (Cloudflare Workers, Lambda)

ai-agentstypescriptpython
0
2
Sre SlosA

SRE SLI/SLO/SLA implementation

ai-agentspythongo
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2
TerraformA

Provision infrastructure as code with Terraform: resources, modules, state, workspaces, and remote backends. Use for cloud resource management.

ai-agentsgobash
0
2
Rust EmbeddedA

Rust for embedded systems

ai-agentsrustgo
0
2
Ai TestingA

AI-powered test generation and validation

ai-agentspythongo
0
2
Claude Code CommandsA

Use Claude Code effectively: slash commands, context management, hooks, MCP, permissions, and workflows. Use for agentic coding with Claude Code.

ai-agentsgobash
0
2
Code ReviewA

Conduct effective code reviews: correctness, security, performance, style, and actionable feedback. Use for reviewing any pull request or diff.

ai-agentspythongo
0
2
Git WorkflowA

Use Git effectively: branching, commits, rebase vs merge, history hygiene, conflict resolution, and collaboration workflows. Use for any git-based project.

ai-agentsgobash
0
2
Bun RuntimeA

Bun runtime for JavaScript/TypeScript

ai-agentsjavascripttypescript
0
2
NextjsA

Build full-stack React applications with Next.js App Router, Server Components, API routes, middleware, and deployment. Use for production web apps.

ai-agentstypescriptgo
0
2
React 19A

Build modern user interfaces with React 19, including Server Components, Actions, hooks, and the new compiler. Use for any interactive UI work.

ai-agentsjavascripttypescript
0
2