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Found 614 Skills
Translate text using the DeepL API via the deepl-cli command-line tool. Use when the user asks to: translate text, translate to another language, use DeepL, translate with formality control, or pipe text through a translation. Supports all DeepL language pairs, source language auto-detection, context-aware translation, and formality levels (formal/informal).
Translate all text in a Canva design to another language, creating a translated copy. Faster than manually copying and editing each text box in Canva's editor. Use when users say "translate my design to [language]", "make a Spanish/French/etc version", or "localize my Canva design".
Generate professional Agent Skills for Claude Code and other AI agents. Creates complete skill packages with SKILL.md, references, scripts, and templates. Use when creating new skills, generating custom slash commands, or building reusable AI capabilities. Validates against Agent Skills specification.
Automatically collect hot topics in the AI field or complete AI technical article writing in the writing style of 'Second Brother' according to specified topics. It focuses on actual tests of AI Coding tools (Claude Code, Qoder, Cursor, TRAE, etc.), engineering implementation of large models (SpringAI, LangChain, RAG, etc.), AI Agent and workflow orchestration, evaluation of domestic large models (GLM, Tongyi Qianwen, DeepSeek, MiniMax, Kimi, etc.), and evaluation of various AI tools and Agent tools. Trigger keywords: write an AI article, AI technical article, large model evaluation, AI tool actual test, GLM, Claude Code, Qoder, Cursor, TRAE, SpringAI, RAG, Agent, workflow, domestic large model, collect AI hot topics, AI topic, etc.
Writing content across different platforms and styles. This skill should be used when creating blog posts, LinkedIn posts, X/Twitter threads, technical documentation, or other written content. It intelligently selects the appropriate writing style based on the platform, audience, and content type, then applies that style consistently throughout the piece.
Navigates C3 architecture docs and explores corresponding code to answer architecture questions. Use when the user asks: - "where is X", "how does X work", "explain X", "show me the architecture" - "find component", "what handles X", "diagram of X", "visualize X" - "describe X", "list components", "trace X", "flow of X" - References C3 IDs (c3-0, c3-1, adr-*) <example> Context: Project with .c3/ directory user: "explain what c3-101 does and how it connects to other components" assistant: "Using c3-query to navigate the architecture docs." </example> <example> Context: Project with .c3/ directory user: "show me a diagram of the C3 architecture" assistant: "Using c3-query to generate an architecture overview." </example> DO NOT use for changes (route to c3-change). DO NOT use for pattern artifact management — listing, creating, updating refs (route to c3-ref). Requires .c3/ to exist.
Handles sensitive data securely in Terraform. Use when managing passwords, API keys, database credentials, encryption keys, or other secrets. Covers Google Secret Manager integration, preventing secrets in state, IAM-based secret access, encryption, and security best practices.
Manage integrate Sentry with CI/CD pipelines. Use when setting up GitHub Actions, GitLab CI, or other CI systems with Sentry releases and source maps. Trigger with phrases like "sentry github actions", "sentry CI", "sentry pipeline", "automate sentry releases".
This skill should be used when users want to migrate from .env files to fnox with 1Password (or another secret provider). It covers installing fnox, creating 1Password items, configuring fnox.toml, and integrating with mise. Use when users mention ".env migration", "fnox setup", "1password secrets", or want to improve their secret management workflow.
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
Anti-patterns for CLI development. Do NOT use commander, inquirer.js, yargs, or other CLI libraries in Constructive projects. Use inquirerer instead. Triggers on "commander", "inquirer.js", "yargs", "CLI library", or when reviewing CLI code.
Use this skill when spreadsheet files are the primary input or output. This means the user wants to: open, read, edit, or repair existing .xlsx, .xlsm, .csv, or .tsv files (e.g., add columns, calculate formulas, format, create charts, clean messy data); create new spreadsheets from scratch or from other data sources; or convert between spreadsheet file formats. Trigger this especially when the user references a spreadsheet file by name or path—even casually (such as "the xlsx in my downloads")—and wants to process it or generate content from it. It's also used to clean or reorganize messy tabular data files (rows with incorrect formatting, misaligned headers, garbage data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do not trigger this when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.