Total 32,334 skills, AI & Machine Learning has 5224 skills
Showing 12 of 5224 skills
Use when working with code refactoring context restore
Professional prompt engineering, context engineering, and AI agent orchestration for coding agents (Claude Code, Codex, Cursor, Gemini CLI). Use when designing CLAUDE.md/AGENTS.md files, writing skills, planning multi-agent pipelines, optimizing token usage, managing session handoffs, or structuring any prompt for maximum agent performance. Do NOT use for general coding tasks or code review.
Load and execute robot personality files (SOUL.md style) with built-in safety constraints, behavior rules, and memory management. Inspired by ZeroClaw's robot-kit personality system.
A comprehensive development team tailored for beginners, consisting of product managers, architects, designers, developers, and testers, guiding you through the entire process from concept to launch.
NotebookLM CLI wrapper via `python3 {baseDir}/scripts/notebooklm.py` (backed by notebooklm-py). Use for auth, notebooks, chat, sources, notes, sharing, research, and artifact generation/download.
Guide users on how to customize Trae Skills configurations, including overriding role settings, adjusting technical preferences, and defining global rules.
Use when decisions could affect groups differently and need to anticipate harms/benefits, assess fairness and safety concerns, identify vulnerable populations, propose risk mitigations, define monitoring metrics, or when user mentions ethical review, impact assessment, differential harm, safety analysis, vulnerable groups, bias audit, or responsible AI/tech.
An expert prompt engineering skill that turns Claude into "Alpha-Prompt" — a master prompt engineer who collaboratively creates high-quality prompts through flexible dialogue. This skill activates when users request to "optimize prompt", "improve system instruction", "enhance AI instruction", or mention prompt engineering tasks.
System architect and technical design leader. Use when the user asks to talk to Winston or requests the architect.
Create or update the skill registry for the current project. Scans user skills and project conventions, writes .atl/skill-registry.md, and saves to engram if available. Trigger: When user says "update skills", "skill registry", "actualizar skills", "update registry", or after installing/removing skills.
Interactive three-part onboarding for new team members to the Trellis AI-assisted workflow system. Covers core philosophy (AI memory, project-specific knowledge, context drift), system structure and command deep-dives, real-world workflow examples, and guideline customization. Use when a new developer joins the project, someone needs to understand the Trellis workflow, or project guidelines need initial setup.
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection