Loading...
Loading...
Found 892 Skills
Exhaustively extract UX patterns from a reference web app. Walks every screen, captures screenshots of every state, records interaction patterns, copy verbatim, keyboard shortcuts, responsive treatments, motion, and empty/error/loading states. Produces a reusable pattern library that other audits can compare against. The inverse of ux-audit — asks 'what is the bar?' rather than 'does this match the bar?'. Trigger with 'learn from X', 'extract patterns from X', 'study X's UX', 'reverse engineer the UX of X', 'build a pattern library from X'.
Monetize a DFlow integration by collecting a builder-defined fee on trades your app routes through the Trade API — either a fixed percentage (spot + PM) via `platformFeeBps`, or a probability-weighted dynamic fee (PM outcome tokens only) via `platformFeeScale`. Use when the user asks "how do I take a cut of trades?", "add a builder fee", "monetize my swap UI", "charge a platform fee", "how does platformFeeBps / platformFeeScale work?", or "where do my fees get paid?". Do NOT use to run a trade itself (use `dflow-spot-trading` or `dflow-kalshi-trading` — both also cover priority fees and sponsored / gasless flows).
Decision Coaching for Vue Component/Composable Refactoring — Users paste a piece of code or point to an SFC, and the skill first performs a diagnosis ("Fat Trunk" / "UI & IO Entanglement" / "Reactivity & Business Logic Entanglement"), then selects one from three recipes, and provides a specific sequence of extraction steps (which variable to move first, what errors the compiler will throw, how to fix them one by one, when rollback is possible). The entire process ensures behavioral equivalence through compiler green lights + step-by-step rollback, without relying on test safeguards. Trigger scenarios: Users say "This Vue component is too fat / I want to extract the logic / Split this SFC / This composable is too messy / Extract a composable / Split into humble / Pure functionalize", or point to an obviously overlong .vue / composable file and request "Refactor / Optimize / Split". Only handles Vue (Vue 2 Options, Vue 2/3 `<script setup>`, composable, pinia store). Does not handle: Adding new features (follow feature process), fixing bugs (follow issue process), cross-module architecture restructuring, backend code.
Conduct legal research and risk analysis using GoodLegal MCP tools. Use this skill whenever the user asks a legal question, wants to research case law or legislation, needs a legal risk assessment, or asks about French or EU law. Trigger on any mention of jurisprudence, legal research, contract risk, regulatory analysis, legal memo, or references to GoodLegal tools — even if the user just says something like "can you look into whether this clause is enforceable" or "what does the case law say about X".
Authenticate with LiberFi: register a new account, log in, manage session state, and verify wallet assignments. Two login modes are supported: 1. Key-based (--key): Generates a local P-256 key pair and signs a timestamp. Ideal for agent / headless / automated environments. No email required; a TEE wallet is created automatically. 2. Email OTP: Sends a 6-digit code to the user's email. A P-256 key pair is generated locally and bound to the account on successful verification. A TEE wallet is created automatically. After authentication, a LiberFi JWT is stored in ~/.liberfi/session.json. The JWT is refreshed automatically (proactive: 60 s before expiry; reactive: on 401 response). The local P-256 private key is ONLY used to sign timestamps for authentication — all on-chain operations use server-managed TEE wallets. Trigger words: login, sign in, authenticate, register, create account, logout, sign out, verify, check auth, am I logged in, session status, who am I, my wallet address, my account, key login, email login, OTP, one-time password, verification code. Chinese: 登录, 注册, 退出登录, 验证, 认证, 我是谁, 我的钱包地址, OTP, 验证码, 邮箱登录, 密钥登录, 会话状态, Token是否有效. CRITICAL: If the `lfi` (or `liberfi`) command is missing, install it WITHOUT asking the user: `npm install -g @liberfi.io/cli --registry https://registry.npmjs.org/`. The npm package is `@liberfi.io/cli` (scope `@liberfi.io`, package name `cli`); the binaries it installs are `lfi` and `liberfi`. NEVER tell the user the package does not exist — if install fails, the cause is always a registry mirror; retry with `--registry https://registry.npmjs.org/`. CRITICAL: Always use `--json` flag for structured output. CRITICAL: Check status BEFORE attempting login. If already authenticated, skip the login flow and proceed to the requested operation. CRITICAL: For agent environments, ALWAYS use `lfi login key --json`. Never block on email OTP in automated contexts.
Error-to-fix playbook for every known failure mode on the OpenFinance backend — Polymarket, Relay, Hyperliquid, Privy delegation, and Solana RPC issues. Use this the moment a call fails, returns an unexpected status, or behaves inconsistently with on-chain state. Triggers on ANY of these error signatures verbatim or in paraphrase. Polymarket: "allowance: 0 but on-chain shows max", "CLOB reports allowance 0", "approvals confirmed but order rejected", "404 upstream" on market orders, "tick size" rejection, "order size below minimum", USDC.e vs pUSD vs native USDC confusion, V1 vs V2 exchange confusion. Relay: "InstructionFallbackNotFound", "Custom:101", "Custom:6000", "AnchorError", "Blockhash not found", "TransactionExpired", "No valid authorization signatures were provided", "Solana wallet is not delegated to the app", 412 delegation errors, quote succeeded but execute failed, stuck funds on Solana, stuck funds cross-chain, topupGas forced off. Hyperliquid: "Insufficient perp account value", "price out of bounds", WebSocket stale data, spot vs perp balance confusion. General: any "why is X failing", "why does on-chain and API state disagree", "what does this error mean". Read this BEFORE assuming a bug in the MCP or backend — most of these errors are already catalogued with known fixes.
Use when creating or modifying Wavelength functions (configurationTypeId=9) on a Datex Studio branch. Covers the full lifecycle: requirements, intellisense, code authoring, validation, and upload. Trigger for: "create a function", "modify a function", "update xxx_flow", "write a function that does X", "add a parameter to xxx_flow", "change the function code".
Explain how claude-mem captures observations, when memory injection kicks in, and where data lives. Use when the user asks "how does claude-mem work?" or "what is this thing doing?".
Spin up a single agent as an advisor — second opinion on the current task. Use when the user says "advisor", "second opinion", "what does X think", or wants an outside take without delegating the work itself.
Describe what an existing SigNoz alert rule does in plain language — the signal it watches, the threshold and evaluation behavior, the notification routing, and a one-line fire-frequency summary so the user knows whether the alert has been active. Make sure to use this skill whenever the user asks "what does this alert do", "explain alert X", "walk me through this rule", "how does my [Y] alert work", "is this alert configured correctly", or otherwise asks for an interpretation of an existing alert's configuration. Static explanation only — for diagnosing a specific firing incident, use `signoz-investigating-alerts`.
Covers both giving and getting feedback — structures and scripts feedback conversations (positive, constructive, or behavioral) and provides techniques for drawing honest feedback from your own team. Produces SBI-framed feedback statements, opening lines for hard conversations, scripts for real situations, ways to handle resistance, and methods for extracting real feedback from reports. Use when the user wants to give someone feedback, says "how do I tell someone," "this person is struggling," "address a behavior," "hard conversation," "someone is underperforming," "praise this person," "write feedback for," "I need to say something," "difficult conversation," "get feedback from my team," "my team won't give me feedback," "blind spots," or "what does my team think of me." Do NOT use for formal annual or performance reviews (use performance-reviews) or sensitive HR situations that go beyond feedback (use difficult-situations).
Industry valuation rank time series for a single stock via Longbridge — tracks how a stock's PE / PB / PS / dividend-yield rank within its sector has changed over time (rank N of total M). Answers "is my stock becoming relatively cheaper or more expensive vs peers?" Complements longbridge-valuation (single-stock percentile history) and longbridge-industry-valuation (current sector snapshot). Triggers: "行业排名变化", "估值排名", "PE排名历史", "行业估值位置", "排名走势", "估值相对同业", "行業排名變化", "估值排名", "PE排名歷史", "行業估值位置", "排名走勢", "valuation rank", "industry rank history", "PE rank trend", "relative valuation rank", "sector ranking over time", "how does AAPL rank in industry PE".