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Found 1,634 Skills
Use this skill when optimizing email deliverability, sender reputation, or authentication. Triggers on SPF record setup, DKIM signing configuration, DMARC policy deployment, IP warm-up planning, bounce handling strategy, sender reputation monitoring, inbox placement troubleshooting, email infrastructure hardening, DNS TXT record configuration for email, and diagnosing why emails land in spam. Acts as a senior email infrastructure advisor for engineers and marketers managing transactional or marketing email.
Use this skill when configuring Neovim, writing Lua plugins, setting up keybindings, or optimizing the Vim editing workflow. Triggers on Neovim configuration, init.lua, lazy.nvim, LSP setup, telescope, treesitter, vim motions, keymaps, and any task requiring Vim or Neovim customization.
Logback - flexible and powerful logging framework for Java and Spring Boot applications. Successor to Log4j with native SLF4J support, async logging, and automatic file rotation. USE WHEN: user mentions "logback", "spring boot logging", "java logging configuration", asks about "logback-spring.xml", "rolling file appender", "async logging in java" DO NOT USE FOR: SLF4J API usage - use `slf4j` instead, Log4j2 - use separate Log4j2 skill, Node.js logging - use `winston` or `pino` instead, Python logging - use `python-logging` instead
Guide users on how to customize Trae Skills configurations, including overriding role settings, adjusting technical preferences, and defining global rules.
Pre-deployment validation for Webflow Code Components. Checks bundle size, dependencies, prop configurations, SSR compatibility, styling setup, and common issues before running webflow library share.
Salesforce Data Cloud Prepare phase. TRIGGER when: user creates or manages Data Cloud data streams, DLOs, transforms, or Document AI configurations, or asks about ingestion into Data Cloud. DO NOT TRIGGER when: the task is connection setup only (use sf-datacloud-connect), DMOs and identity resolution (use sf-datacloud-harmonize), or query/search work (use sf-datacloud-retrieve).
Bulk engineering approaches, tools, and implementation strategies for mass-generating PLC/DCS control logic, HMI displays, and I/O configurations from engineering databases. Use when planning or implementing automation of DCS engineering workflows.
Build PromQL, LogQL, TraceQL queries for Perses panels. Validate query syntax, suggest optimizations, handle variable templating with Perses interpolation formats. Integrates with prometheus-grafana-engineer for deep PromQL expertise. Use for "perses query", "promql perses", "logql perses", "perses panel query". Do NOT use for datasource configuration (use perses-datasource-manage).
Fish shell configuration: config.fish, functions, abbreviations, variable scoping, conf.d modules, and PATH management. Use when user's $SHELL is fish, editing .fish files, working in ~/.config/fish/, or migrating from Bash. Use for "fish config", "fish function", "abbr", "conf.d", "fish_add_path", or "funcsave". Do NOT use for Bash/Zsh-only scripts, POSIX shell portability, or non-shell configuration tasks.
Non-destructive 4-phase image validation: Discover, Validate, Analyze, Report. Use when auditing web images for accessibility, broken references, oversized files, or format mismatches. Use for "image audit", "check alt text", "find broken images", "optimize images", or "page weight". Do NOT use for image creation, editing pixels, CDN configuration, or automated image conversion without explicit user consent.
Review existing Perses dashboards for quality: fetch via MCP or API, analyze panel layout, query efficiency, variable usage, datasource configuration. Generate improvement report. Optional --fix mode. 4-phase pipeline: FETCH, ANALYZE, REPORT, FIX. Use for "review perses dashboard", "audit dashboard", "perses dashboard quality". Do NOT use for creating new dashboards (use perses-dashboard-create).
Use when cognee is a Python AI memory engine that transforms documents into knowledge graphs with vector and graph storage for semantic search and reasoning. Use this skill when writing code that calls cognee's Python API (add, cognify, search, memify, config, datasets, prune, session) or integrating cognee-mcp. Covers the full public API, SearchType modes, DataPoint custom models, pipeline tasks, and configuration for LLM/embedding/vector/graph providers. Do NOT use for general knowledge graph theory or unrelated Python libraries.