Keyboard shortcuts for common desktop applications — LibreOffice, GIMP, Chrome, Thunderbird, VS Code.
Quellsprache: Englisch
Menü
SkillsMP hat 18 Skills aus A-EVO-Lab/a-evolve gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 18 von 18 gesammelten Skills angezeigt.
Keyboard shortcuts for common desktop applications — LibreOffice, GIMP, Chrome, Thunderbird, VS Code.
Quellsprache: Englisch
When to prefer GUI mouse clicks over keyboard shortcuts — especially for formatting, multi-step visual tasks, and cross-application workflows.
Quellsprache: Englisch
General GUI navigation patterns for desktop environments — finding elements, interacting with menus, and handling dialogs.
Quellsprache: Englisch
How to interpret accessibility tree elements and correlate them with screenshot regions for accurate GUI interaction.
Quellsprache: Englisch
Verification patterns to confirm task completion before submitting. Read this before calling submit().
Quellsprache: Englisch
Workarounds for bot detection, CAPTCHA, 403 errors, and Cloudflare challenges when browsing the web.
Quellsprache: Englisch
How to build C/C++/Cython/Fortran extensions and frameworks like Caffe, OpenCV, protobuf-dependent projects from source.
Quellsprache: Englisch
Strategies for debugging build failures, runtime errors, writing complete output files (ICS/JSON/config), and constraint satisfaction tasks.
Quellsprache: Englisch
Strategies for quickly discovering what tools, languages, and files are available in a Terminal-Bench container.
Quellsprache: Englisch
Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.
Quellsprache: Englisch
Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.
Quellsprache: Englisch
Verification patterns to confirm task completion before submitting. Read this before calling submit().
Quellsprache: Englisch
Strategies for avoiding dead ends and premature conclusions. Read this when stuck or when an approach seems to not work.
Quellsprache: Englisch
Optimize an AI agent's harness for MCP-Atlas benchmark. Use when analyzing execution traces, diagnosing failures, and proposing improved prompts, skills, or harness code.
Quellsprache: Englisch
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
Quellsprache: Englisch
Strategies for quickly discovering what tools, languages, data files, and skills are available in a SkillBench container.
Quellsprache: Englisch
Installing and using common Python packages in SkillBench containers. Covers scientific computing, data analysis, and file format libraries.
Quellsprache: Englisch
How to discover, load, and effectively use skills to solve SkillBench tasks.
Quellsprache: Englisch