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Found 787 Skills
E2E testing expert for Tauri applications using Tauri MCP server. Use when testing running Tauri apps - session management, webview interaction, IPC verification, screenshot capture, and debugging. ALWAYS use tauri_* tools, NEVER Chrome DevTools MCP for Tauri apps.
Add Playwright QA tests to a game — visual regression, gameplay verification, performance, and accessibility
Convert mermaid diagrams mmd/mermaid to .png and have an option to pick/increase resolution level. V2 includes L5 Delegated Constraint Verification for strict binary image linting.
Fixes N+1 queries, redundant fetches, over-fetching with keep/discard verification
Deterministic git operations with state verification for skill-creator managed repos. Use when managing repos, branches, worktrees, or contribution workflows.
Japanese version of the PUA Universal Motivation Engine. It compels exhaustive problem-solving using corporate PUA rhetoric and structured debugging methodology in Japanese. MUST trigger under the following conditions: (1) Any task has failed 2+ times, or you're stuck in a loop of tweaking the same approach; (2) You're about to say 'I cannot', suggest manual handling to the user, or blame the environment without verification; (3) You find yourself being passive — not searching, not reading source code, not verifying, just waiting for instructions; (4) The user expresses frustration in any form: 'try harder', 'stop giving up', 'figure it out', 'why isn't this working', 'again???', 'もっと頑張れ', 'なんでまた失敗したの', 'もう一回やって', 'なんとかしろ', or any similar sentiment regardless of phrasing. It should also trigger when facing complex multi-step debugging, environment issues, configuration problems, or deployment failures where early surrender is tempting. Applies to ALL task types: code, configuration, research, writing, deployment, infrastructure, API integration. DO NOT trigger on first-attempt failures or when a known fix is already executing successfully.
Guides users to the Gate KYC portal to complete identity verification. Use this skill whenever the user asks to do KYC, verify identity, find the verification page, or why they cannot withdraw. Trigger phrases include "complete KYC", "verify my identity", "where to do verification", "why can't I withdraw".
Guide post-trade compliance monitoring and trade surveillance system design. Use when building alert logic to detect churning, front-running, cherry-picking, layering, spoofing, wash trading, or marking the close, implementing post-trade best execution review, evaluating allocation fairness with pro-rata verification or dispersion analysis, designing exception-based monitoring workflows with escalation paths, correlating trading with MNPI events for insider trading detection, building personal trading surveillance for preclearance and blackout enforcement, determining SAR or blue sheet or CAT reporting triggers, or tuning surveillance thresholds to reduce false positives. Also covers turnover ratios, cost-to-equity ratios, and investigation case management.
Full PR lifecycle: git worktree → implement → atomic commits → PR creation → verification loop (CI + review-work + Cubic approval) → merge. Keeps iterating until ALL gates pass and PR is merged. Worktree auto-cleanup after merge. Use whenever implementation work needs to land as a PR. Triggers: 'create a PR', 'implement and PR', 'work on this and make a PR', 'implement issue', 'land this as a PR', 'work-with-pr', 'PR workflow', 'implement end to end', even when user just says 'implement X' if the context implies PR delivery.
Debugging and Root Cause Localization for AscendC Operator Precision Issues. Used when operator precision tests fail (such as allclose failure, result deviation, all-zero/NaN output, etc.). Process: Error Distribution Analysis → Code Error-Prone Point Review → Experimental Isolation → printf/DumpTensor Instrumentation → Fix Verification. Keywords: precision debugging, precision issue, result inconsistency, error localization, allclose failure, output deviation, NaN, all-zero, precision debug.
Pre-logic validation tool that proactively identifies logical flaws before providing answers, used for rationality verification in scenarios such as product recommendation, quotation, data analysis, etc. Use when: - Validate product price authenticity before product recommendation - Data analysis consistency check - Budget-plan matching validation - Unit conversion verification - Factual statement validation before making factual claims - Proactively find logic flaws Cross-references: content-extractor, long-form-writer, rss-feed, document-hub Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.