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docs-search
by davila7
Search auto-generated codebase documentation for function signatures, API docs, class definitions, and code comments. Use when the user asks to "search docs", "find documentation", "look up a function", "check the API", or before implementing changes to verify correct signatures and patterns.
codebase-navigator
by srbhr
Navigate, search, and understand the Resume Matcher codebase using ripgrep, ack, or grep. Find functions, classes, components, API endpoints, trace data flows, and understand architecture. Use FIRST when exploring code, finding files, or understanding project structure.
codebase-navigator
by srbhr
Navigate, search, and understand the Resume Matcher codebase using ripgrep, ack, or grep. Find functions, classes, components, API endpoints, trace data flows, and understand architecture. Use FIRST when exploring code, finding files, or understanding project structure.
nextjs15-performance
by srbhr
Next.js 15 critical performance fixes. Use when writing React components, data fetching, Server Actions, or optimizing bundle size.
backend-dev
by srbhr
Backend development skill for Resume Matcher. Handles FastAPI endpoints, Pydantic schemas, TinyDB operations, LiteLLM integration, and Python service logic. Use when creating or modifying backend code.
nextjs15-performance
by srbhr
Next.js 15 critical performance fixes. Use when writing React components, data fetching, Server Actions, or optimizing bundle size.
frontend-dev
by srbhr
Frontend development skill for Resume Matcher. Handles Next.js pages, React components, Tailwind CSS with Swiss International Style, API integration, hooks, and i18n. Use when creating or modifying frontend code.
ui-review
by srbhr
Review UI changes against Swiss International Style design system. Checks colors, typography, borders, shadows, spacing, and anti-patterns. Use before committing any frontend UI changes.
code-review
by srbhr
Review code for correctness, security, performance, and Resume Matcher conventions. Use when receiving code review feedback or before submitting PRs. Requires technical rigor, not performative agreement.
receiving-code-review
by srbhr
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
react-patterns
by srbhr
React and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or Docker-deployed apps. Eliminates async waterfalls, reduces bundle size, optimizes server and client performance.
graph-query
by davila7
Query the code graph database to understand component relationships, dependencies, and change impact. Use when the user asks to "find callers", "check dependencies", "what uses this", "show relationships", "find serializers", or when reading code and needing to understand what depends on a component before modifications.
datadog-cli
by davila7
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
pytorch-lightning
by davila7
High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
ray-train
by davila7
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distributed hyperparameter sweeps.
langchain
by davila7
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
full-stack
by srbhr
Full-stack development skill that coordinates backend and frontend changes together. Use for features that span both layers: new API endpoint + UI, data model changes, end-to-end flows.
agent-tool-builder
by davila7
"Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa"
dispatching-parallel-agents
by davila7
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
autogpt-agents
by davila7
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
training-llms-megatron
by davila7
Trains large language models (2B-462B parameters) using NVIDIA Megatron-Core with advanced parallelism strategies. Use when training models >1B parameters, need maximum GPU efficiency (47% MFU on H100), or require tensor/pipeline/sequence/context/expert parallelism. Production-ready framework used for Nemotron, LLaMA, DeepSeek.
axolotl
by davila7
Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
evaluating-llms-harness
by davila7
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
behavioral-modes
by davila7
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type.