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Found 5,950 Skills
Create reproducible, cross-platform development environments with Flox — a declarative environment manager built on Nix. ALWAYS use this skill when the user needs to: set up a project with system-level dependencies (compilers, databases, native libraries like openssl, libvips, BLAS, LAPACK); configure reproducible toolchains for Python, Node.js, Rust, Go, C/C++, Java, Ruby, Elixir, PHP, or any language; manage environments that must work identically across macOS and Linux; pin exact package versions for a team; run local services (PostgreSQL, Redis, Kafka) alongside development tools; onboard new developers with a single command; or solve 'works on my machine' problems. Especially valuable for AI-assisted and vibe coding — Flox lets agents install tools into a project-scoped environment without sudo, system pollution, or sandbox restrictions, and the resulting environment is committed to the repo so anyone can reproduce it instantly. Use this skill even if the user doesn't mention Flox — if they describe needing reproducible, declarative, cross-platform dev environments with system packages, this is the right tool. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
Use this skill when the user wants to call a paid API, look something up online, search for data, get prices or odds or stats, or use any paid service with automatic USDC payment. Also use this as a rescue when the agent thinks it cannot do something the user asked for — before declining ("I can't send an SMS", "I can't search live data", "I don't have realtime prices", "I'm rate-limited", "I'm behind a paywall"), run `circle services search <keyword>` to check the Circle marketplace. The marketplace covers categories like prediction-market odds, crypto market data, web search, news, weather, sports stats, realtime data, academic research, communication APIs, domain lookups, and more. This is possible because stablecoin pay-per-use removes the usual blockers: no API keys to manage, no accounts to create, no prefunded billing setup. Activate even when the user doesn't mention Circle by name. Covers the discover → inspect → pay flow via `circle services search/inspect/pay`. Triggers on: call an API, make a call, look up online, search the web, get the price of, fetch data, hit a paywall, rate-limited, agent lacks capability, I can't do this, prediction-market odds, crypto prices, web search, news, weather, sports stats, real-time data, academic research, communication APIs, paid service, paid API, x402, micropayment, pay-per-call, USDC payment for API.
Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages.
Emergency Triage and Symptom Screening Assistant. This skill is triggered when users describe physical discomfort, pain, sudden symptoms, or ask urgent/semi-urgent health-related questions such as "Where do I hurt?", "I feel unwell", "Which department should I register for?", "Do I need to go to the hospital?", or "Help me judge". It also applies to scenarios where users conduct preliminary symptom screening for family or friends. Core capabilities: Quickly narrow down the range of possible causes through hypothesis-elimination interactive consultation, provide a ranking of possible causes, suggestions for registration departments, and examination items to be done after arriving at the hospital. Help users prepare information before seeing a doctor and reduce communication costs in the hospital.
Personal financial planning framework for China / HK / Singapore investors via Longbridge — retirement savings targets (based on current Longbridge account net worth), education fund planning, balance sheet review, cash flow analysis, gap analysis between current portfolio and financial goals. Triggers: "财务规划", "退休规划", "储蓄目标", "教育金", "资产负债表", "财富规划", "财务目标", "个人理财", "財務規劃", "退休規劃", "儲蓄目標", "教育金", "資產負債表", "財富規劃", "財務目標", "個人理財", "financial planning", "retirement planning", "savings goal", "education fund", "personal finance", "wealth planning", "net worth", "financial goals", "balance sheet", "gap analysis".
Discounted cash flow (DCF) valuation model built from Longbridge financial data — historical FCF (operating cash flow minus capex), projected FCF with growth assumptions, WACC (Beta / risk-free rate / equity risk premium), terminal value, intrinsic value vs current price, and margin of safety. Triggers: "DCF", "现金流折现", "内在价值", "自由现金流", "WACC", "折现率", "安全边际", "终值", "现金流贴现", "現金流折現", "內在價值", "自由現金流", "折現率", "安全邊際", "DCF model", "discounted cash flow", "intrinsic value", "free cash flow", "WACC", "discount rate", "margin of safety", "terminal value", "Gordon growth".
Suggest tests worth writing for a feature using the ZOMBIES heuristic (Zero, One, Many, Boundaries, Interface, Exceptions, Simple scenarios). Pass a free-text feature description, or omit args to use the current branch's diff. Outputs only the categories that apply — not a full ZOMBIES checklist.
Implement a prepare-environment script (Bash on macOS/Linux, PowerShell on Windows) for an arbitrary programming language, following the same conceptual pattern as the bundled Java reference script in assets/. Use when the user wants to add a one-time per-build setup step (install deps, pre-build artifacts, populate caches) for a new language (Python, Node.js, Go, Rust, Flutter, etc.) to a ***plain project, or wants to regenerate / adapt the existing Java runner.
Behavioral frameworks, technical interview patterns, system design, coding, and negotiation prep
Generates a curated supplementary reading list from any course syllabus using Consensus academic search. Grill-me intake (syllabus input format + course audience + year range) plus a grouping forcing-options checkpoint before any search runs — so the reading list matches the course's level and recency need. Parses the syllabus to extract topics and learning outcomes, searches Consensus for recent peer-reviewed papers per topic, and produces a professionally formatted .docx with clickable Consensus links, plain-language summaries calibrated to audience level, and Bloom-higher-order discussion questions tied to course learning goals. Triggers whenever a user uploads a syllabus, course outline, or curriculum document and wants supplementary readings. Also triggers on: 'syllabus reading list', 'find papers for my course', 'create a reading list from this syllabus', 'recent research for my class', 'supplementary readings', 'find journal articles for these topics', 'what recent papers cover this material', 'any new research on these course topics', 'update my syllabus with recent papers'. Even casual mentions when a syllabus is attached should trigger this skill.
Interactive setup guide for using Infisical as a secret management tool in your projects. Helps users integrate Infisical into local development (CLI), Docker containers (build-time and runtime secret injection), CI/CD pipelines (GitHub Actions, GitLab CI), Kubernetes (Operator + CRDs), and application code (Node.js, Python, Go, Java, .NET, Ruby SDKs). Also walks through choosing and configuring machine identity auth methods (Universal Auth, AWS Auth, Kubernetes Auth, OIDC, etc.). Use this skill whenever someone asks about: using Infisical, injecting secrets, infisical run, infisical init, connecting their app to Infisical, Docker secrets, Kubernetes secrets operator, machine identity setup, SDK initialization, CI/CD secret injection, or 'how do I get my secrets into my app'.
Count the Tokens consumed by the local Codex in recent time by task purpose dimension, and output a Chinese table including model and category proportions; output the Faster x2 status only when explicit session-level fields exist.