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Found 10,027 Skills
Use when working with code refactoring context restore
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.
Guide users on how to customize Trae Skills configurations, including overriding role settings, adjusting technical preferences, and defining global rules.
2-stage pipeline: trace (causal investigation) -> deep-interview (requirements crystallization) with 3-point injection
Generate a pack of professional or aesthetic photos from a single reference image while preserving the exact identity of the person.
A valid skill that uses $ARGUMENTS placeholder
Build, run, and visualize multi-step AI generation workflows. The AI architect translates natural language descriptions into connected node graphs — chain image generation, video creation, enhancement, and editing into automated pipelines.
Apply Sherlock Holmes' deductive method to debug code, diagnose system issues, and solve technical puzzles using systematic elimination and logical reasoning
Convert raster images (photos, illustrations, AI-generated art) into high-quality SVG recreations. Breaks the image into isolated features, builds each as a standalone SVG layer, then composites them. Use when the user wants to recreate an image as SVG, create vector versions of artwork, or extract specific elements from images as scalable graphics.
This skill implements a specific task from a project's ROADMAP.md file. It should be used when the user wants to work on a roadmap action item by its ID (e.g., '1.1', '2.3'). Triggered by requests like '/do-task 1.1', '/do-task 2.3', or 'do task 3.1'. Works alongside the project-init skill (which creates the roadmap) and the checkpoint skill (which commits afterward).
Trigger Scenarios: (1) Explicit memory requests – remember, record, don't forget, pay attention next time, form rules, generate summaries/record documents; (2) Correction and modification – note, incorrect, wrong, it should be, change to, replace with, don't, also need, missing; (3) Preference expression – I prefer, in the future, it's better, suggest, my habit, I usually; (4) Global specifications – unified, all, every, any, each, every time, all, uniformly; (5) Conversation end settlement – when the conversation ends naturally or the topic switches. Convert users' corrections, preferences and rules into structured memory files to improve the output quality of subsequent conversations.
Reflect on the current session and refine skills or CLAUDE.md based on patterns observed. Use when the user says "refine", "what did we learn", or at the end of a session to make skills better through use.