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Found 1,057 Skills
Gate Exchange same-UID internal transfer skill. Use when user says 'transfer', 'move funds', 'spot to futures', 'USDT-margined', 'perpetual', 'margin'. Phase 1: internal transfer only (no main-sub). Execution requires explicit user confirmation and source balance pre-check.
Gate invite friends activity recommendation and rule interpretation skill. Use this skill whenever the user asks about referral programs, invitation rewards, how to invite friends, earn-together events, coupon assistance, super commission, referral links, or any request related to Gate's invite-a-friend campaigns. Trigger phrases include 'invite friends', 'referral', 'invitation reward', 'earn together', 'coupon', 'commission', 'rebate', 'referral link', 'invite reward', 'referral bonus', 'earn with friends', 'passive income from referrals'.
When the user wants to monitor, triage, or reduce their app's crash rate — including setting up Crashlytics, prioritizing which crashes to fix first, interpreting crash data, and understanding how crashes affect App Store ranking. Use when the user mentions "crash", "crashlytics", "crash rate", "ANR", "app not responding", "crash-free sessions", "crash-free users", "symbolication", "stability", "firebase crashes", "app crashing", or "crash report". For overall analytics setup, see app-analytics.
AI citability scoring and optimization. Analyzes web page content to determine how likely AI systems (ChatGPT, Claude, Perplexity, Gemini) are to cite or quote passages from the page. Provides a citability score (0-100) with specific rewrite suggestions.
This Skill is built based on Eastmoney's authoritative database and the latest underlying market data, supporting natural language queries for market data (real-time quotes, main capital flows, valuations, etc. of stocks, industries, sectors, indices, funds, bonds), financial data (basic information of listed companies, financial indicators, executive information, main business, etc.), and relationship and operation data (associated relationships, enterprise operation data). It prevents models from answering financial data questions based on outdated knowledge and provides authoritative and timely financial data.
Statistical rule discovery through measurement of Go codebases: Count patterns, derive confidence-scored rules, produce Style Vector fingerprint. Use when analyzing codebase conventions, extracting implicit coding rules, profiling a repo before onboarding or PR automation. Use for "analyze codebase", "find coding patterns", "what conventions does this repo use", "extract rules", or "codebase DNA". Do NOT use for code review, bug fixes, refactoring, or performance optimization.
Deterministic 3-phase GitHub PR review comment extraction: Authenticate, Mine, Validate. Use when mining tribal knowledge from PR reviews, extracting coding standards from review history, or building datasets for the Code Archaeologist agent. Use for "mine PRs", "extract review comments", "tribal knowledge", or "PR review history". Do NOT use for analyzing patterns, generating rules, or interpreting comments — that is the Code Archaeologist agent's responsibility.
6-phase PPTX presentation generation with visual QA: Gather, Design, Generate, Convert, QA, Output. Use when user needs a PowerPoint deck, slide presentation, pitch deck, or conference talk slides. Triggers: "create a presentation", "make slides", "pitch deck", "powerpoint", "pptx", "slide deck", "generate presentation". Do NOT use for Google Slides, Keynote, or PDF-only documents.
Use the local SupeRISE wallet through its MCP endpoint. Use this whenever the user expects the agent to operate, inspect, manage, or use the Superise wallet, including MCP connectivity, available wallet capabilities, or wallet tasks such as current wallet, wallet fingerprint, wallet status, wallet address or public key (`钱包地址`, `公钥`), balances (`余额`) for `CKB`, `ETH`, `USDT`, or `USDC`, transfer progress, transaction status, address-book lookups, signing, or transfers. When wallet intent is present, first discover the live MCP capabilities with `initialize -> notifications/initialized -> tools/list`, then choose the matching tool instead of guessing.
Unit testing patterns for isolated business logic tests — AAA pattern, parametrized tests (test.each, @pytest.mark.parametrize), fixture scoping (function/module/session), mocking with MSW/VCR at network level, and test data management with factories (FactoryBoy, faker-js). Use when writing unit tests, setting up mocks, structuring test data, optimizing test speed, choosing fixture scope, or reducing test boilerplate. Covers Vitest, Jest, pytest.
Audit and harden OpenClaw deployments and interpret `openclaw security audit` findings. Use when the user wants to secure OpenClaw, review gateway exposure/auth/reverse proxies/Tailscale Serve or Funnel, check DM/group access (pairing, allowlists, mention gating, `session.dmScope`), minimise tool permissions and sandboxing, review plugins/skills/secrets/transcripts/log retention, or lock down Docker/macOS/laptop/EC2 installs. Not for generic OS, Docker, or cloud hardening unrelated to OpenClaw.
Implement Syncfusion WPF TabSplitter for VS 2008-style split tab views with top and bottom panel sections. Use this when building split tab layouts, dual-pane views, or side-by-side tabbed views in WPF. Covers SplitterPage, TopPanelItems, BottomPanelItems, TabSplitterItem, and collapsible split panel configuration.