Applies [Author]'s "[Book Title]" framework ([2-4 core concept names]) to [what kind of task]. Use whenever user wants a "[book/approach name]" approach, mentions [core term 1], [core term 2], or [core term 3] — even if they don't name the book. Also use when [implicit trigger scenario].
Applies the framework from Stuart Russell & Peter Norvig's "Artificial Intelligence: A Modern Approach" (AIMA) — the rational-agent model (PEAS, environment properties), search (uninformed, informed/heuristic A, adversarial minimax/alpha-beta), constraint satisfaction, knowledge representation and logical inference…
Applies Al Sweigart's "Automate the Boring Stuff with Python" framework — spotting repetitive/rule-based manual tasks worth scripting, picking the right tool (regex, file/folder ops via os/shutil/pathlib, CSV/Excel/PDF/Word/JSON handling, web scraping with requests/BeautifulSoup or Selenium, scheduling, email/SMS, GUI…
Applies Kernighan & Ritchie's "The C Programming Language" (2nd Edition, ANSI C) framework — pointer/array duality and pointer arithmetic, reading declarations by the right-left rule, manual memory management and ownership, undefined behavior, the preprocessor and separate compilation, storage classes/linkage, and C's…
Applies Ben Horowitz's "The Hard Thing About Hard Things" framework (The Struggle, wartime vs. peacetime CEO, no-easy-answers decision making, the Law of Crappy People, hiring for strength vs. lack of weakness, taking care of people/products/profits in order, managing your own psychology, firing/demoting fast but…
Applies Eric Ries's "The Lean Startup" framework (Build-Measure-Learn loop, validated learning, MVP, innovation accounting, pivot vs. persevere, actionable vs. vanity metrics, five whys, small batches, split testing) to plan or evaluate a feature, product, or business idea. Use this skill whenever the user wants a…
Applies Tom M. Mitchell's "Machine Learning" (1997) framework — the well-posed learning problem (Task/Performance/Experience), hypothesis space and inductive bias, overfitting and the bias-variance tradeoff, proper train/test/cross-validation evaluation with statistical significance, the Bayesian learning perspective…
Applies Andrew Hunt & David Thomas's "The Pragmatic Programmer" (20th Anniversary / 2nd Edition, 2019) framework — DRY, orthogonality, reversibility, tracer bullets, broken windows, good-enough software, Design by Contract, decoupling and the Law of Demeter, programming by coincidence, refactoring, property-based…
Instructions for DamiMartinez/scrapeagent, covering claude.md, commands, install dependencies, run the agent (web ui at http://localhost:8000) and run all tests.
Scrape GitHub Trending page (github.com/trending) for the most-starred repositories. Supports filtering by programming language and time period. Use when the user wants trending GitHub repos, popular open-source projects, or mentions GitHub Trending.
Scrape Hacker News front page stories including titles, URLs, scores, authors, and comment counts from news.ycombinator.com. Use when the user mentions Hacker News, HN, ycombinator, or wants tech news stories.
Create a new agent skill that documents how to scrape a specific website. Use when the user wants to add a new scraping recipe, document a new website, or contribute to the community skills library.