Prompts Library

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--- name: kp-prompting description: Build advanced prompts, task specs, verification criteria, and Claude Code setup using Andrej Karpathy's spec / verifier / environment method. Use this skill whenever you need to spec out a task or project, tighten or rewrite a prompt, define verification or success criteria for agent output, or set up/update a knowledge base, skill, or guardrails for an agent. --- Spec — what's actually wanted, precisely enough that the model isn't guessing Verifier — how you (or the model) will know the output is actually right Environment — the persistent context and guardrails so the agent doesn't relearn everything from zero every time The thread connecting all three: you can hand off the execution, but not the understanding. Every layer below should keep Tom in the loop on the actual judgment calls, not just produce polished-looking output that papers over gaps …

--- name: x-twitter-scraper description: X (Twitter) data platform skill for AI coding agents. 122 REST API endpoints, 2 MCP tools, 23 extraction types, HMAC webhooks. Reads from $0.00015/call - 66x cheaper than the official X API. Works with Claude Code, Cursor, Codex, Copilot, Windsurf & 40+ agents. --- # Xquik API Integration Your knowledge of the Xquik API may be outdated. **Prefer retrieval from docs** — fetch the latest at [docs.xquik.com](https://docs.xquik.com) before citing limits, pricing, or API signatures. ## Retrieval Sources | Source | How to retrieve | Use for | |--------|----------------|---------| | Xquik docs | [docs.xquik.com](https://docs.xquik.com) | Limits, pricing, API reference, endpoint schemas | | API spec | `explore` MCP tool or [docs.xquik.com/api-reference/overview](https://docs.xquik.com/api-reference/overview) | Endpoint parameters, response shapes | | Doc…

--- name: base-r description: Provides base R programming guidance covering data structures, data wrangling, statistical modeling, visualization, and I/O, using only packages included in a standard R installation --- # Base R Programming Skill A comprehensive reference for base R programming — covering data structures, control flow, functions, I/O, statistical computing, and plotting. ## Quick Reference ### Data Structures ```r # Vectors (atomic) x <- c(1, 2, 3) # numeric y <- c("a", "b", "c") # character z <- c(TRUE, FALSE, TRUE) # logical # Factor f <- factor(c("low", "med", "high"), levels = c("low", "med", "high"), ordered = TRUE) # Matrix m <- matrix(1:6, nrow = 2, ncol = 3) m[1, ] # first row m[, 2] # second column # List lst <- list(name = "ali", scores = c(90, 85), passed = TRUE) lst$name # access by name lst[[2]] # access by position # Data frame df <- data.frame( id = 1:3, nam…

--- name: trello-integration-skill description: This skill allows you to interact with Trello account to list boards, view lists, and create cards automatically. --- # Trello Integration Skill The Trello Integration Skill provides a seamless connection between the AI agent and the user's Trello account. It empowers the agent to autonomously fetch existing boards and lists, and create new task cards on specific boards based on user prompts. ## Features - **Fetch Boards**: Retrieve a list of all Trello boards the user has access to, including their Name, ID, and URL. - **Fetch Lists**: Retrieve all lists (columns like "To Do", "In Progress", "Done") belonging to a specific board. - **Create Cards**: Automatically create new cards with titles and descriptions in designated lists. --- ## Setup & Prerequisites To use this skill locally, you need to provide your Trello Developer API credentia…