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Found 716 Skills
Identify risky assumptions for a new product idea across 8 risk categories including Go-to-Market, Strategy, and Team. Use when evaluating startup risks, assessing a new product concept, or mapping assumptions for a new venture.
Axios - promise-based HTTP client for browser and Node.js USE WHEN: user mentions "Axios", "HTTP requests", "API calls", "interceptors", "Axios instance", asks about "how to make HTTP calls", "configure Axios", "add auth header", "handle HTTP errors" DO NOT USE FOR: Fetch API - use `http-clients` instead; ky/ofetch - use `http-clients` instead; GraphQL clients - use `graphql-codegen` instead; tRPC - use `trpc` instead
When the user wants platform-specific tactical guidance for LinkedIn, Twitter/X, Threads, or Bluesky. Also use when the user mentions 'LinkedIn strategy,' 'Twitter strategy,' 'Threads strategy,' 'Bluesky strategy,' 'algorithm,' 'what works on LinkedIn,' 'cross-posting,' 'platform differences,' 'adapt my content,' or 'which platform should I focus on.' For overall content strategy, see content-strategy-sms. For writing posts, see post-writer-sms.
Compress LLM responses to pure signal — Rocky's early notation style. Drop articles, filler, hedging. Best for pipelines and coding.
Scroll-based animations using GSAP ScrollTrigger plugin including pinning, scrubbing, snap points, and parallax effects. Use when creating scroll-driven animations, sticky sections, progress indicators, or parallax scrolling experiences.
Use when writing or reviewing tests for Python behavior, contracts, async lifecycles, or reliability paths. Also use when tests are flaky, coupled to implementation details, missing regression coverage, slow to run, or when unclear what tests a change needs.
Use when asked to "build habit-forming products", "Hooked model", "trigger action reward investment", "create sticky behavior loops", or "design habit loops". Helps design products that form unprompted user habits. The Hooked Model (created by Nir Eyal) explains how products create habits through Trigger, Action, Variable Reward, and Investment.
Use when you need a fast, reliable architecture or impact view in a large unfamiliar repo, especially under time pressure or tight context budgets where manual grep or folder inference would be risky.
Decides when quality matters vs move fast, based on Dylan Field (Figma) craft philosophy and Brian Chesky (Airbnb) details obsession. Use when balancing shipping speed with excellence, deciding if refactoring is needed, or determining which details create moats vs which to skip.
Decision-making framework for software development, Y Combinator / Silicon Valley style. Based on real principles from Paul Graham, Sam Altman, Michael Seibel, Patrick Collison, and Brian Chesky. Use when: - Developing features or products - Making technical decisions (what to do, how, when) - Prioritizing work (P0, P1, P2) - Evaluating whether to refactor or patch - Deciding on technical debt - Evaluating whether to add tests, CI/CD, or automation - Any architecture or engineering decision Triggers: development, code, feature, refactor, architecture, prioritize, technical decision, what to do first, technical debt, tests, CI/CD, sprint, backlog
Use this skill when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory evaluation (match or LLM-as-judge), running LangSmith dataset evaluations, and comparing two agent versions with A/B-style offline analysis. Use it for Python and JavaScript/TypeScript workflows, evaluator design, experiment setup, regression gates, and debugging flaky/incorrect evaluation results.
Rust project implementation guide for multi-crate workspace projects. Covers workspace config, toolchain (nightly + rustfmt + clippy + cranky + cargo-deny), strict lint rules (no unsafe/unwrap/expect/panic), error handling (thiserror + anyhow), async runtime (Tokio), TLS (rustls + aws-lc-rs), CI/CD (GitHub Actions with test/build/docker/SBOM), and coding conventions. Use when scaffolding, developing, or reviewing Rust applications.