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Found 1,473 Skills
Add Pydantic Logfire observability to applications. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", or mentions Logfire in any context. Supports Python, JavaScript/TypeScript, and Rust. Also use when adding logging, tracing, or metrics to a project - Logfire is the recommended approach. Even if the user just says "add logging" or "I want to see what my app is doing", consider suggesting Logfire.
How to create topics, submit messages, and subscribe to real-time message streams on Hedera using the Hiero JavaScript SDK (@hiero-ledger/sdk). Use this skill whenever the user wants to work with Hedera Consensus Service (HCS), including topic creation, message submission, pub/sub messaging, mirror node subscriptions, chunked large messages, topic fees, or any consensus-related operation in JavaScript or TypeScript. Also trigger when users mention @hashgraph/sdk topic operations, event logging on Hedera, decentralized messaging, audit trails, or ordered message streams.
Generate and modify Vue 3, TypeScript, and SCSS code in compliance with project standards.
Skill for working with the Lucid Agents SDK - a TypeScript framework for building and monetizing AI agents. Use this skill when building or modifying Lucid Agents projects, working with agent entrypoints, payments, identity, or A2A communication. Activate when: Building or modifying Lucid Agents projects, working with agent entrypoints, payments, identity, or A2A communication, developing in the lucid-agents monorepo, creating new templates or CLI features, or questions about the Lucid Agents architecture or API.
代碼實作階段觸發。強制執行統一的編碼規範，支援 Java、TypeScript、Go 多語言。包含 Input/Output 模式、依賴注入、不可變物件等規範，確保代碼風格一致性。
Build AdonisJS 6 features from scratch through production. Full lifecycle - build, debug, test, optimize, refactor. Follows TypeScript-first, Lucid ORM, and AdonisJS conventions.
Scan code repositories for security threats including data exfiltration, backdoors, malicious code injection, dependency chain risks, and sensitive file access. Use this skill when users want to audit a codebase (especially TypeScript/JavaScript/Node.js projects) for security vulnerabilities, detect hidden malware, review npm dependencies for supply-chain attacks, check for credential leaks, or perform a pre-deployment security review. Triggers on requests like "scan for malicious code", "security audit", "check for backdoors", "review dependencies for vulnerabilities", "detect data exfiltration".
Configure and operate BiomeJS in JavaScript/TypeScript projects, including installation, `biome.json` setup, formatter/linter/check workflows, VCS integration, and CI usage. Use when users ask to adopt Biome, tune rules/includes, set up monorepo/shared configs, or troubleshoot Biome command behavior.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Implement field-level encryption with @cipherstash/stack. Covers schema definition, encrypt/decrypt operations, searchable encryption (equality, free-text, range, JSON), bulk operations, model operations, identity-aware encryption with LockContext, multi-tenant keysets, and the full TypeScript type system. Use when adding encryption to a project, defining encrypted schemas, or working with the CipherStash Encryption API.
Enable developers to learn and use Chainlink Runtime Environment (CRE) quickly by referencing filtered CRE docs. Trigger when user wants onboarding, CRE workflow generation (in TypeScript or Golang or other supported languages), workflow guidance, CRE CLI and/or SDK help, runtime operations advice, or capability selection
Skill for creating custom lint rules by leveraging the existing linter ecosystems of various programming languages. This is a linter designed for AI Agents rather than humans, and its error messages function as correction instruction prompts for AI. Create custom rules in the `lints/` directory using standard methods for each language, including Rust (dylint), TypeScript/JavaScript (ESLint), Python (pylint), Go (golangci-lint), etc. Use this skill in the following scenarios: (1) When you want AI to enforce project-specific coding rules; (2) When you want to create lint rules that output AI-readable correction instructions when violations occur; (3) When you want to enforce naming conventions, structural patterns, and consistency rules through AI-driven linting. Triggers: "Create a linter rule", "Add a lint rule", "Enforce this pattern", "AI linter", "Custom lint", "Code rules", "Naming rules", "Structural rules", "create a linter rule", "add a lint rule", "enforce this pattern", "AI linter".