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Found 845 Skills
Turso (Limbo) database helper — an in-process SQLite-compatible database written in Rust. Formerly known as libSQL / libsql. Replaces @libsql/client, libsql-experimental for Turso use cases. Works in Node.js, browser (WASM + OPFS for persistent local storage), React Native, and server-side. Features: vector search, full-text search, CDC, MVCC, encryption, remote sync. SDKs: JavaScript (@tursodatabase/database), Browser/WASM (@tursodatabase/database-wasm), React Native (@tursodatabase/sync-react-native), Rust (turso), Python (pyturso), Go (tursogo). This skill contains all SDK documentation needed to use Turso — do NOT search the web for Turso/libsql docs.
Build Firefox CI worker images by triggering GitHub Actions workflows in mozilla-platform-ops/worker-images. Supports FXCI Azure workflows for Windows image builds (trusted and untrusted). Use when: - User wants to build a worker image - User mentions "FXCI Azure", "worker image build", or specific pool names like "win11-64-24h2-alpha" - User wants to trigger image builds for Windows 10, Windows 11, or Windows Server 2022 - User asks to check status of a worker image build Triggers: "build image", "worker image", "FXCI Azure", "trigger build", "image build status"
Log emotions with optional structure. Use when user says "feel", "feeling", "mood", "tired", "sleepy", "frustrated", "happy", "excited".
System-wide keyboard shortcut registration on macOS using NSEvent monitoring (simple, app-level) and Carbon EventHotKey API (reliable, system-wide). Covers NSEvent.addGlobalMonitorForEvents and addLocalMonitorForEvents, CGEvent tap for keystroke simulation, Carbon RegisterEventHotKey for system-wide hotkeys, modifier flag handling (.deviceIndependentFlagsMask), common key code mappings, debouncing, Accessibility permission requirements (AXIsProcessTrusted), and SwiftUI .onKeyPress for in-app shortcuts. Use when implementing global keyboard shortcuts, hotkey-triggered panels, or system-wide key event monitoring.
Review error handling, input validation, and exception patterns using 24-item checklist. Use when auditing defensive code, designing barricades, choosing assertion vs error handling, or deciding correctness vs robustness strategy. Triggers on: empty catch blocks, missing input validation, assertions with side effects, wrong exception abstraction level, garbage in garbage out mentality, deadline pressure to skip validation, trusted source rationalization. Produce status table with VIOLATION/WARNING/PASS per item, or barricade/error-handling design recommendations.
通用发布工作流。自动检测版本文件和变更日志。支持 Node.js、Python、Rust、Claude 插件和通用项目。当用户说"发布"、"release"、"新版本"、"bump version"、"push"、"推送"时使用。
Smart contract and secure API contract security analysis — invariant checking, access control, reentrancy, and integer overflow patterns. Implements Checks-Effects-Interactions pattern, formal invariant verification, and OpenSCV vulnerability taxonomy for Solidity/EVM and Rust/Solana contracts.
Forces exhaustive problem-solving using corporate PUA rhetoric and structured debugging methodology. MUST trigger when: (1) any task has failed 2+ times or you're stuck in a loop tweaking the same approach; (2) you're about to say 'I cannot', suggest the user do something manually, or blame the environment without verifying; (3) you catch yourself being passive — not searching, not reading source, not verifying, just waiting for instructions; (4) user expresses frustration in ANY form: 'try harder', 'stop giving up', 'figure it out', 'why isn't this working', 'again???', or any similar sentiment even if phrased differently. Also trigger when facing complex multi-step debugging, environment issues, config problems, or deployment failures where giving up early is tempting. Applies to ALL task types: code, config, research, writing, deployment, infrastructure, API integration. Do NOT trigger on first-attempt failures or when a known fix is already executing successfully.
Optimize e-commerce checkout flow to reduce cart abandonment. Friction analysis, payment method optimization, trust signals, and checkout UX best practices.
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for Kubernetes API analysis, service-account trust, RBAC edges, admission and controller behavior, cluster secrets, workload mutation, and namespace-scoped drift. Use when the user asks to inspect kube API permissions, service-account tokens, RoleBinding or ClusterRoleBinding edges, admission webhooks, controller-created pods, secret exposure, or why live workloads differ from manifests. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Apply when scoping, reviewing, or documenting cross-cutting VTEX commerce architecture across storefront, IO, headless, marketplace, payments, or any other VTEX module. Grounds work in the Well-Architected Commerce framework—Technical Foundation (reliability, trust, integrity; security, infrastructure, compliance), Future-proof (innovation, simplicity, efficiency; scalable and adaptable solutions), and Operational Excellence (accuracy, accountability, data-driven improvement; process and customer experience). Routes implementation detail to product tracks (IO caching and paths, Master Data strategy, marketplace integrations). Use for solution design, architecture reviews, and RFP-level technical structure.
Set up and improve harness engineering (AGENTS.md, docs/, lint rules, eval systems, project-level prompt engineering) for AI-agent-friendly codebases. Triggers on: new/empty project setup for AI agents, AGENTS.md or CLAUDE.md creation, harness engineering questions, making agents work better on a codebase. ALSO triggers when users are frustrated or complaining about agent quality — e.g. 'the agent keeps ignoring conventions', 'it never follows instructions', 'why does it keep doing X', 'the agent is broken' — because poor agent output almost always signals harness gaps, not model problems. Covers: context engineering, architectural constraints, multi-agent coordination, evaluation, long-running agent harness, and diagnosis of agent quality issues.