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Found 5,970 Skills
US overnight-eligible securities directory and HK broker participant directory via Longbridge Securities. `security-list` covers the US overnight-trading catalog only (this is the only category exposed through this endpoint). `participants` is the HK broker_id ↔ name dictionary. For non-US listed-stock lookups, route the user to `longbridge-quote` for individual symbol queries. Triggers: "美股 listed", "美股 overnight", "经纪商 ID", "broker_id", "港股经纪商", "港股經紀商", "經紀商 ID", "list of US stocks", "overnight tradable", "broker directory", "participant lookup".
Build or audit a design system including component library, design tokens, naming conventions, contribution model, and documentation. Use this skill whenever the user wants to build a design system, audit an existing system, define design tokens at the system level, structure a component library, or set up design system governance. Triggers on design system, component library, design tokens, atomic design, atoms, molecules, organisms, design system documentation, Storybook, Figma library, system governance, design contribution model. Also triggers when teams are inconsistent across products and a system is the answer.
Genera código YAML pasteable en Power Apps Studio usando el schema pa.yaml v3. Incluye controles modernos, patrones de caché, Gallery con colecciones, y todas las lecciones aprendidas para vibe codear sin errores. Trigger: Cuando el usuario pida crear pantallas, controles o código para Power Apps en formato YAML.
Covers the full meeting lifecycle for engineering managers — produces guidance on whether to schedule a meeting, how to run it well, how to protect team focus time, how to kill recurring waste, and how to evaluate a past meeting from a transcript or description. Use when the user says "too many meetings," "meetings are a waste of time," "how do I run this meeting," "meeting agenda," "meeting culture," "nobody comes prepared," "meetings go nowhere," "how do I decline meetings," "distractions," "focus time," "engineers can't focus," "context switching," "protect engineering time," "review this meeting," or "transcript."
Hedging strategy design framework — Beta hedge ratio (portfolio vs benchmark), option protection strategies (protective put / collar), tail-risk hedges (VIX-related / gold / treasuries), cross-asset hedges (currency risk), and hedge cost assessment (option premium vs protection value). Triggers: "对冲", "对冲策略", "Beta对冲", "保护性看跌", "领口策略", "尾部风险", "汇率对冲", "对冲比率", "對冲", "對冲策略", "Beta對冲", "保護性看跌", "領口策略", "尾部風險", "hedging", "hedge strategy", "beta hedge", "protective put", "collar strategy", "tail risk hedge", "currency hedge", "hedge ratio", "portfolio insurance".
Ship a change via a feature branch and pull request — never directly to the default branch. Use after any code change, fix, refactor, or docs update that needs to land on main. Branches are named `<card-number>` from the FluentBoards card. Commits go through the husky pre-commit hook (lint-staged); pushes go to the feature branch only; the PR body links back to the card. Hard refuses any push to main / master / trunk.
Use when designing, implementing, or reviewing an embedded accounting engine inside a SaaS, ERP, POS, inventory, payroll, school, clinic, NGO, marketplace, or mobile-money-heavy system. Covers one append-only general ledger, one LedgerPostingService write path, mapping-layer account resolution, IFRS/IFRS for SMEs defaults, subledger tagging, idempotent posting, reversing journals, period locks, audit trails, report projections, and accounting integrity tests.
End-to-end conference talk pipeline: paper → slide outline → Beamer + PPTX → per-page polish → assurance checks (claim / citation / anonymity) → final export and report. Default-good for academic conference talks (NeurIPS / ICML / ICLR / VALSE / 投稿 talks). Trigger phrases: "做 talk", "做 PPT 全流程", "talk pipeline", "end-to-end slides", "做演讲", "conference talk full workflow". Use when the user wants the complete talk artifact, not just a slide deck.
MCP Server connecting AI agents to 70+ Brazilian public APIs for government data, economy, legislation, transparency, judiciary, elections, environment, health, education, and more
Disciplined spec-driven test-driven development workflow for building software with AI coding agents. Transforms ambiguous requests into verified implementations through structured specification, test derivation, and strict TDD. Handles greenfield projects, brownfield enhancements (with or without existing tests), refactors, and complex bug fixes with workflow-specific guidance for each. Use when the user requests a new feature, module, enhancement, refactor, API, data pipeline, CLI tool, or system with multiple requirements, edge cases, or unclear specifications. Also use for complex bug fixes requiring root cause analysis. Triggers on phrases like "add a feature", "implement", "build a new module", "build an API", "build a CLI", "build a data pipeline", "refactor", "fix this bug", "write tests for", "TDD", "test-first", "the requirements are unclear", "characterization tests", or "spec this out". Triggers when modifying code with adjacent test files (`tests/`, `*_test.py`, `*.test.ts`, `*.spec.ts`, `spec/`, `__tests__/`) or test framework config (pytest.ini, jest.config.*, go.mod with testing imports, Cargo.toml with [dev-dependencies], package.json with a test script). Triggers when the user mentions edge cases, invariants, acceptance criteria, EARS notation, or red-green-refactor. Do NOT use for simple one-line fixes, cosmetic changes, formatting, renames, dependency bumps, or tasks where requirements are already fully specified with tests provided.
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.
Analyzes unit economics by product or service using PayPal merchant insights and QuickBooks cost data, benchmarks against inflation and cost changes, and shows pricing-scenario data (e.g. "a 5% increase historically correlates with ~3% volume drop"). Surfaces analysis only — does not recommend a price. Use when the user asks about raising prices, pricing, margin analysis, what to charge, whether costs are eating into profit, or how a price change might affect their business. Trigger even if the user doesn't say "margin" explicitly — phrases like "am I making enough?", "should I charge more?", or "my costs are going up" all call for this skill.