eyadsibai-ltk

Plugin eyadsibai-ltk from marketplace cascade-data-storage in joshuarweaver/cascade-data-storage. Commands read from the repo's manifest — 1 month ago.

Skills (113)

• agent-evaluation

  Use when evaluating agent performance, building test frameworks, measuring quality, or asking about "agent evaluation", "LLM-as-judge", "agent testing", "quality metrics", "evaluation rubrics", "agent benchmarks

• codex

  Use when "codex", "use gpt", "gpt-5", "openai codex", "let openai", "full-auto", "autonomous code generation

• context-compression

  Use when compressing agent context, implementing conversation summarization, reducing token usage in long sessions, or asking about "context compression", "conversation history", "token optimization", "context limits", "summarization strategies

• context-degradation

  Use when diagnosing agent failures, debugging lost-in-middle issues, understanding context poisoning, or asking about "context degradation", "lost in middle", "context poisoning", "attention patterns", "context clash", "agent performance drops

• context-optimization

  Use when optimizing agent context, reducing token costs, implementing KV-cache optimization, or asking about "context optimization", "token reduction", "context limits", "observation masking", "context budgeting", "context partitioning

• crewai-agents

  Use when "CrewAI", "multi-agent systems", "agent orchestration", "AI crews", or asking about "autonomous agents", "agent collaboration", "role-based agents", "agent workflows", "AI team coordination

• dispatching-parallel-agents

  Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

• dspy-prompting

  Use when "DSPy", "declarative prompting", "automatic prompt optimization", "Stanford NLP", or asking about "optimizing prompts", "prompt compilation", "modular LLM programming", "chain of thought", "few-shot learning

• executing-plans

  Use when you have a written implementation plan to execute in a separate session with review checkpoints

• langchain-agents

  Use when "LangChain", "LLM chains", "ReAct agents", "tool calling", or asking about "RAG pipelines", "conversation memory", "document QA", "agent tools", "LangSmith

• mcp-development

  Use when building "MCP server", "Model Context Protocol", creating "Claude tools", "MCP tools", or asking about "FastMCP", "MCP SDK", "tool development for LLMs", "external API integration for Claude

• memory-systems

  Use when implementing agent memory, persisting state across sessions, building knowledge graphs, tracking entities, or asking about "agent memory", "knowledge graph", "entity memory", "vector stores", "temporal knowledge", "cross-session persistence

• multi-agent-patterns

  Use when designing multi-agent systems, implementing supervisor patterns, coordinating multiple agents, or asking about "multi-agent", "supervisor pattern", "swarm", "agent handoffs", "orchestration", "parallel agents

• nanobanana

  Use when "nanobanana", "generate image", "create image", "edit image", "AI drawing", "Gemini image", "image generation

• planning-with-files

  This skill should be used when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls. Implements Manus-style file-based planning with task_plan.md, findings.md, and progress.md.

• plugin-development

  Use when creating Claude Code plugins, writing skills, building commands, developing agents, or asking about "plugin development", "create skill", "write command", "build agent", "SKILL.md", "plugin structure", "progressive disclosure

• prompt-engineering

  Use when "writing prompts", "prompt optimization", "few-shot learning", "chain of thought", or asking about "RAG systems", "agent workflows", "LLM integration", "prompt templates

• subagent-driven-development

  Use when executing implementation plans with independent tasks in the current session

• syncing-submodules

  Use when running /ltk:sync-submodules, updating submodules, or needing to "sync", "merge", "adapt", "learn from" other Claude Code plugins or repos

• tool-design

  Use when designing agent tools, creating tool descriptions, implementing MCP tools, or asking about "tool design", "agent tools", "tool descriptions", "MCP", "function calling", "tool consolidation

• using-ltk

  Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

• writing-plans

  Use when you have a spec or requirements for a multi-step task, before touching code

• writing-skills

  Use when creating new skills, editing existing skills, or verifying skills work before deployment

• dask

  Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe

• data-engineering

  Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling

• data-science

  Use when "statistical modeling", "A/B testing", "experiment design", "causal inference", "predictive modeling", or asking about "hypothesis testing", "feature engineering", "data analysis", "pandas", "scikit-learn

• experiment-tracking

  Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics

• geopandas

  Use when "GeoPandas", "geospatial", "GIS", "shapefile", "GeoJSON", or asking about "spatial analysis", "coordinate transformation", "spatial join", "choropleth map", "buffer analysis", "geographic data", "map visualization

• huggingface-tokenizers

  Use when "tokenizers", "HuggingFace tokenizer", "BPE", "WordPiece", or asking about "train tokenizer", "custom vocabulary", "tokenization", "subword", "fast tokenizer", "encode text

• llm-inference

  Use when "LLM inference", "serving LLM", "vLLM", "llama.cpp", "GGUF", "text generation", "model serving", "inference optimization", "KV cache", "continuous batching", "speculative decoding", "local LLM", "CPU inference

• llm-training

  Use when "training LLM", "finetuning", "RLHF", "distributed training", "DeepSpeed", "Accelerate", "PyTorch Lightning", "Ray Train", "TRL", "Unsloth", "LoRA training", "flash attention", "gradient checkpointing

• ml-engineering

  Use when "deploying ML models", "MLOps", "model serving", "feature stores", "model monitoring", or asking about "PyTorch deployment", "TensorFlow production", "RAG systems", "LLM integration", "ML infrastructure

• modal

  Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML

• multimodal-models

  Use when "CLIP", "Whisper", "Stable Diffusion", "SDXL", "speech-to-text", "text-to-image", "image generation", "transcription", "zero-shot classification", "image-text similarity", "inpainting", "ControlNet

• nemo-evaluator

  Use when evaluating LLMs, running benchmarks like MMLU/HumanEval/GSM8K, setting up evaluation pipelines, or asking about "NeMo Evaluator", "LLM benchmarking", "model evaluation", "MMLU", "HumanEval", "GSM8K", "benchmark harnesses

• networkx

  Use when "NetworkX", "graph analysis", "network analysis", "graph algorithms", "shortest path", "centrality", "PageRank", "community detection", "social network", "knowledge graph

• polars

  Use when "Polars", "fast dataframe", "lazy evaluation", "Arrow backend", or asking about "pandas alternative", "parallel dataframe", "large CSV processing", "ETL pipeline", "expression API

• pymc

  Use when "PyMC", "Bayesian", "MCMC", "probabilistic programming", or asking about "Bayesian regression", "hierarchical model", "NUTS sampler", "posterior distribution", "prior predictive", "credible intervals", "uncertainty quantification

• rag-frameworks

  Use when "RAG", "retrieval augmented generation", "LangChain", "LlamaIndex", "sentence transformers", "embeddings", "document QA", "chatbot with documents", "semantic search

• scientific-computing

  Use when "scientific computing", "astronomy", "astropy", "bioinformatics", "biopython", "symbolic math", "sympy", "statistics", "statsmodels", "scientific Python

• scikit-learn

  Use when "scikit-learn", "sklearn", "machine learning", "classification", "regression", "clustering", or asking about "train test split", "cross validation", "hyperparameter tuning", "ML pipeline", "random forest", "SVM", "preprocessing

• shap

  Use when "SHAP", "Shapley values", "feature importance", "model explainability", or asking about "explain predictions", "interpretable ML", "feature attribution", "waterfall plot", "beeswarm plot", "model debugging

• transformers

  Use when "HuggingFace Transformers", "pre-trained models", "pipeline API", or asking about "text generation", "text classification", "question answering", "NER", "fine-tuning transformers", "AutoModel", "Trainer API

• vector-databases

  Use when "vector database", "embedding storage", "similarity search", "semantic search", "Chroma", "ChromaDB", "FAISS", "Qdrant", "RAG retrieval", "k-NN search", "vector index", "HNSW", "IVF

• visualization

  Use when "data visualization", "plotting", "charts", "matplotlib", "plotly", "seaborn", "graphs", "figures", "heatmap", "scatter plot", "bar chart", "interactive plots

• Accessibility

  This skill should be used when the user asks about "accessibility", "a11y", "WCAG", "screen readers", "keyboard navigation", "ARIA", "accessible design", "inclusive design", or mentions making apps accessible.

• Branding

  This skill should be used when the user asks about "branding", "brand identity", "logo design", "color palette", "brand guidelines", "visual identity", "brand voice", "style guide", or mentions brand-related decisions.

• canvas-design

  Use when "creating posters", "visual art", "design philosophy", "PDF art", "PNG design", or asking about "abstract art", "visual design", "museum-quality graphics

• react-artifacts

  Use when "building React artifacts", "creating HTML artifacts", "bundling React apps", "single HTML file", or asking about "artifact builder", "shadcn components", "Tailwind artifacts

• UI/UX Design

  This skill should be used when the user asks about "UI design", "UX design", "user interface", "user experience", "wireframes", "mockups", "design patterns", "design system", "component design", "layout", or mentions UI/UX decisions.

• agent-browser

  Use when automating browser interactions via CLI, filling forms, taking screenshots, scraping pages, or asking about "agent-browser", "browser automation", "headless browser", "web scraping", "form filling", "Vercel browser

• aws-architecture

  Use when "designing AWS architecture", "serverless AWS", "cloud infrastructure", "Lambda", "DynamoDB", or asking about "AWS cost optimization", "CloudFormation", "CDK", "API Gateway", "ECS", "EKS

• Build & Deploy

  This skill should be used when the user asks to "build the project", "run the build", "deploy to production", "validate build", "CI/CD pipeline", "deployment configuration", "pre-flight checks", "release process", or mentions build and deployment operations.

• distributed-tracing

  Use when implementing distributed tracing, using Jaeger or Tempo, debugging microservices latency, or asking about "tracing", "Jaeger", "OpenTelemetry", "spans", "traces", "observability

• helm-charts

  Use when creating Helm charts, packaging Kubernetes applications, managing multi-environment deployments, or asking about "Helm", "Helm chart", "values.yaml", "chart templating", "Helm dependencies

• k8s-security

  Use when securing Kubernetes clusters, implementing network policies, configuring RBAC, pod security standards, or asking about "Kubernetes security", "NetworkPolicy", "PodSecurityPolicy", "RBAC", "pod security standards", "OPA Gatekeeper

• secrets-management

  Use when implementing secrets management, using Vault, AWS Secrets Manager, handling credentials in CI/CD, or asking about "secrets", "Vault", "credentials", "secret rotation", "API keys", "external secrets operator

• Security Scanning

  This skill should be used when the user asks to "scan for vulnerabilities", "check for security issues", "find secrets in code", "audit dependencies", "detect SQL injection", "find XSS vulnerabilities", "check for OWASP issues", "scan for hardcoded credentials", or mentions security analysis of code

• webapp-testing

  Use when testing "web application", "Playwright", "browser automation", "UI testing", "frontend testing", "E2E testing", "end-to-end tests", or asking about "test local webapp", "browser screenshots", "DOM inspection

• Architecture Review

  This skill should be used when the user asks to "review architecture", "analyze project structure", "check dependencies", "find circular imports", "analyze code patterns", "understand codebase structure", "map dependencies", "evaluate design patterns", or mentions architectural analysis.

• cqrs

  Use when implementing CQRS pattern, separating read and write models, optimizing query performance, or asking about "CQRS", "Command Query Responsibility Segregation", "read model", "write model", "command bus", "query bus

• microservices-patterns

  Use when designing microservices architectures, decomposing monoliths, implementing service boundaries, inter-service communication, or asking about "microservices", "service decomposition", "API gateway", "circuit breaker", "distributed systems

• saga-orchestration

  Use when implementing distributed transactions, coordinating multi-service workflows, handling compensating transactions, or asking about "saga pattern", "distributed transactions", "compensating actions", "workflow orchestration", "choreography vs orchestration

• Code Quality

  This skill should be used when the user asks to "check code quality", "analyze code metrics", "find dead code", "check style compliance", "measure complexity", "find unused imports", "check type hints", "run linting", "PEP8 compliance", or mentions code quality analysis.

• code-review

  Use when requesting code review, receiving code review feedback, before merging, or when handling reviewer suggestions - covers both giving and receiving review

• React

  This skill should be used when the user asks about "React", "React components", "React hooks", "useState", "useEffect", "JSX", "React patterns", "React best practices", or mentions React development.

• FastAPI Testing

  This skill should be used when the user asks about "testing FastAPI", "FastAPI tests", "API testing", "test FastAPI endpoints", "mock FastAPI dependencies", "TestClient", "async API tests

• FastAPI

  This skill should be used when the user asks about "FastAPI", "FastAPI routes", "FastAPI dependencies", "Pydantic models", "FastAPI middleware", "API endpoints", "OpenAPI", or mentions FastAPI development.

• Pytest

  This skill should be used when the user asks about "pytest", "writing tests", "test fixtures", "parametrize", "mocking", "test coverage", "conftest

• Python Patterns

  This skill should be used when the user asks about "Python best practices", "Pythonic code", "Python patterns", "Python idioms", "type hints", "dataclasses", "async Python", "Python decorators", "context managers

• receiving-code-review

  Use when receiving code review feedback, processing PR comments, or needing to evaluate suggestions before implementing - requires technical verification not blind agreement

• Refactoring

  This skill should be used when the user asks to "refactor code", "rename function", "extract method", "reduce complexity", "migrate code", "code migration", "modernize code", "split class", "move code", or mentions code restructuring and refactoring operations.

• requirements-engineering

  Use when "requirements document", "acceptance criteria", "user stories", "EARS format", "specification", "feature spec", "product requirements

• systematic-debugging

  Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

• Test Coverage

  This skill should be used when the user asks to "analyze test coverage", "find untested code", "check coverage gaps", "improve test coverage", "identify missing tests", "measure code coverage", "test quality analysis", or mentions testing strategies and coverage metrics.

• test-driven-development

  Use when implementing any feature or bugfix, before writing implementation code

• e2e-testing

  Use when implementing end-to-end tests, using Playwright or Cypress, testing user journeys, debugging flaky tests, or asking about "E2E testing", "Playwright", "Cypress", "browser testing", "visual regression", "test automation

• verification-before-completion

  Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always

• changelog-generator

  Use when creating "changelog", "release notes", "version updates", generating "CHANGELOG.md", or asking about "git history to changelog", "commit summary", "what changed since last release

• finishing-a-development-branch

  Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup

• git-workflows
• using-git-worktrees
• brainstorming
• brand-guidelines
• competitive-ads-extractor
• competitive-landscape
• content-research-writer
• content-writing
• document-processing
• docx
• pdf
• pptx
• xlsx
• domain-name-brainstormer
• file-organization
• image-enhancement
• invoice-organizer
• lead-research-assistant
• lead-research
• literature-review
• market-sizing-analysis
• meeting-analysis
• product-management
• product-strategy
• resume-generator
• slack-gif-creator
• startup-financial-modeling
• startup-metrics-framework
• stripe-payments
• team-composition-analysis
• tech-stack-evaluation
• video-downloader
• youtube-transcribe

MCP servers (3)

• github

  runs: npx -y @modelcontextprotocol/server-github

• sqlite

  runs: npx -y @modelcontextprotocol/server-sqlite ${SQLITE_DB_PATH:-./data.db}

• postgres

  runs: npx -y @modelcontextprotocol/server-postgres

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