$ skills --list
Explorar y descubrir skills de agentes IA
/
Explorar y descubrir skills de agentes IA
Showing 43601-43620 of 44358 skills
Digital filtering for noise reduction and signal enhancement
Use when animation needs musical flow—dance sequences, action choreography, comedic timing, scene pacing, or any motion that should feel rhythmic and well-composed over time.
Expert shell scripting and DevOps automation. Use when writing new shell scripts, debugging existing scripts, implementing CI/CD pipelines, or creating automation tooling. Produces robust, portable, production-grade shell scripts.
Generates clear, concise git commit messages in Japanese from staged changes. Use when the user asks to create a commit, write a commit message, or review staged changes for committing.
Remote management for clemencefouquet.fr on Hostinger VPS. Covers site architecture, WP-CLI commands, and image uploads via Docker.
Capture and review lessons learned from coding sessions. Use to record insights, read past lessons, and improve over time.
Single source of truth for MetaSaver agent selection and subagent_type mapping
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Integrate with Replicate AI for running models (image generation, LLMs, etc.).
Test Nuxt 3 / Nitro API handlers with real PostgreSQL, transaction rollback isolation, and typed factories. No mocks, real SQL.
Automatically troubleshoot unexpected results OR command/script errors without user request. Triggers when: (1) unexpected behavior - command succeeded but expected effect didn't happen, missing expected errors, wrong output, silent failures; (2) explicit failures - stderr, exceptions, non-zero exit, SDK/API errors. Applies systematic diagnosis using error templates, hypothesis testing, and web research for any Stack Overflow-worthy issue.
Guide for code conventions and formatting
Template-based meal planning for realistic meals. Use when user wants practical meals with proper structure (protein + legume + vegetables), different foods at each meal, or human-like meal composition. Triggers on "realistic meals", "different foods each meal", "actual meals", "template", "meal structure", "not the same food".
Generates new Claude Code subagent configuration files from user descriptions. Use proactively when the user asks to create a new subagent or agent. Keywords include create subagent, new agent, build agent, agent architecture.
WHEN: Rust project review, ownership/borrowing, error handling, unsafe code, performanceWHAT: Ownership patterns + Lifetime analysis + Error handling (Result/Option) + Unsafe audit + Idiomatic RustWHEN NOT: Rust API → rust-api-reviewer, Go → go-reviewer
Use PROACTIVELY this skill when you need to create or update custom commands following best practices
Continuously observes development patterns to identify automation opportunities. Always active in background. Detects repeated patterns, suggests skills/hooks/commands, auto-creates automations at threshold (3 occurrences).TRIGGERS - Keywords: patterns, learnings, observations, automation, repeated tasks, /learn:review, /learn:implement, /analyze-patterns, pending automations, skill suggestions, hook suggestions, command suggestions, optimization opportunities.TRIGGERS - Phrases: "analyze patterns", "review learnings", "what have you learned", "create automation", "automate this", "I keep doing this", "repeated task", "optimize workflow", "suggest improvements", "pending suggestions".TRIGGERS - Automatic: After file modifications (via hook), before git commits, at session end, when dependencies added, after task completion.
Moai Lib Shadcn Ui - Professional implementation guide
Guides test creation for Polibase following strict testing standards. Activates when writing tests or creating test files. Enforces external service mocking (no real API calls), async/await patterns, test independence, and proper use of pytest-asyncio to prevent CI failures and API costs.
Guides on analyzing and improving test coverage for Python (pytest-cov) and JavaScript (c8) projects. Use when a user asks to set up test coverage, generate coverage reports, understand why coverage is low, or improve their test coverage.