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Found 283 Skills
Find certified shops and get fair price estimates for car repairs.
Razorpay integration. Manage Customers, Plans, Products. Use when the user wants to interact with Razorpay data.
SmarterPay integration. Manage data, records, and automate workflows. Use when the user wants to interact with SmarterPay data.
Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model". Trigger with relevant phrases based on skill purpose.
Per-channel strict prompts, mention gating, silent observation, and a communication autonomy policy for agents that sit in shared channels with external counterparties. Use when an agent joins group chats, shared channels, or DMs where outsiders can read every message and you need it to speak only when addressed, never leak internal context, and route risky content to draft-only approval.
Behavioral guardrails for Cavekit agents. Four principles — think before coding, simplicity first, surgical changes, goal-driven execution — that prevent over-engineering, silent assumptions, scope creep, and unfocused work. Every task-builder, reviewer, planner, and inspector must internalize these before writing a single line. Trigger phrases: "guardrails", "karpathy", "scope creep", "over-engineering", "stop adding features", "surgical fix".
Explains Andrej Karpathy's framework for understanding the three paradigms of software (1.0- traditional code, 2.0- neural network weights, 3.0- LLM prompts). Use when users ask about software paradigm shifts, the evolution of programming, how LLMs fit into software development history, Software 1.0/2.0/3.0 distinctions, prompt engineering as programming, or when they need to explain or apply Karpathy's mental model for understanding modern AI development. Also useful when discussing how to think about building software in the AI era, choosing between traditional code vs neural nets vs LLM prompts, or explaining the significance of "programming in English."
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Research tool for visually exploring BLS Occupational Outlook Handbook data with an interactive treemap, LLM-powered scoring pipeline, and data scraping/parsing utilities.
Design error responses. Use this when asked to implement, fix, or review 404 pages, error pages, Not Found handling, error handling, or API error responses, including choosing between 404, 410, and 301, avoiding soft 404s, serving HTML, Markdown, and application/problem+json according to Accept, implementing RFC 9457 Problem Details, defining cache policies, preventing internal information leakage, and validating responses with curl.
Use when normal web_fetch cannot read a page, when a site blocks basic fetching, or when the user needs YouTube content in AI-ready form. Guides fallback use of Firecrawl for single-page web scraping and SerpApi for YouTube search/video metadata/transcripts only.
Evaluate pricing changes using financial impact analysis - ARPU/ARPA, conversion, churn risk, NRR, and payback. Recommends go/no-go on pricing decisions.