1.7K skills · sorted by relevance
Writes user-facing comments, plans, and documents in Simplified Technical English, a controlled form of English based on ASD-STE100. It uses short sentences, consistent vocabulary, and one instruction per sentence to make explanations clearer.
Get a plain-English explanation of a technical topic, organized around who is involved, what it is, where it applies, why it matters, and when it is used, so you can understand its basic context.
Research a topic across multiple web sources before writing articles, reports, or presentations. Gather facts, examples, and expert views, then check current information, competing perspectives, and limitations to build a well-supported understanding.
Group related code files by analyzing a graph of their connections with ruvector. Review group assignments, community labels, and links between files to understand code organization and investigate files that stand apart.
Explore a knowledge graph, a network of entities and relationships, from a chosen starting point. Rank relevant paths and summarize dependencies or indirect connections to help understand code structure and assess the impact of changes.
Extract classes, functions, modules, and their relationships from source code or documentation into AgentDB. Build a knowledge graph, a map of connected entities, to understand code structure, dependencies, and potential change impacts.
Audit informational pages so AI assistants can extract and understand their content. Review headings, HTML structure, content availability without JavaScript, and structured data, then suggest changes that make individual sections clearer when read on their own.
Review form validation so users, including people using screen readers, can understand and correct errors. Check field descriptions, required states, and grouped choices in rendered HTML, while accounting for React forms that handle submission in the browser.
Understand how Codex Rules adds project instructions and file-specific rules to agent context. Check supported rule locations, when rules are applied, and environment settings for modes, sources, and text limits.
Help Codex respond to automatic warnings about comments after code edits. It explains when the checker runs and directs Codex to fix the flagged comment or explain it before continuing with other work.
Explain tips shown in senpi or omo by checking the installed tip list, user settings, and implementation code. Learn what a feature actually does, why a tip appears, and which tips your setup can show.
Explain how dot works and check why a task is blocked, including computer access, login, approvals, and Slack errors. It provides supported next steps and answers questions about changing dot’s avatar and the user’s message color.
Understand customer decisions and turn psychological principles into practical marketing ideas. The skill explains relevant thinking tools and behavioral patterns, then suggests ethical applications for pricing, trust, messaging, onboarding, retention, and deciding which marketing problems to address first.
Build Python features that identify a speaker’s intent and extract details such as names from conversation text using Azure. Get guidance on request structure, authentication, client cleanup, and exception handling.
Understand a codebase before searching for bugs or vulnerabilities. This skill examines functions line by line, documents assumptions and state changes, and traces calls across modules to build an evidence-based picture of system behavior.
Analyze audiences across Facebook, Instagram, YouTube, and TikTok using Apify Actors, tools that collect platform data. Gather follower, profile, or comment data, summarize audience characteristics and engagement patterns, and return results in chat, CSV, or JSON.
Scan a codebase to create project documentation and project-specific agent instructions. The first run examines the whole project; later runs focus on changed files, with human confirmation required before updating agent instructions after architectural changes.
Analyze compiled programs without running them by recognizing branches, loops, data structures, and common instruction patterns. Use disassembly and decompilation, which translate machine code into readable representations, to reconstruct program logic and document findings.
Identify software protections that hinder inspection, such as debugger detection and obfuscation that makes code harder to understand. Support authorized binary analysis and CTF security challenges with protection findings, bypass strategies, reports, and analysis scripts.
Design a slide-based lecture with sustained teacher narration, connected arguments, and recurring real cases. It organizes ideas into short sequences and places occasional application quizzes at transitions, helping learners understand a subject well enough to explain it.
Design subject lessons that also teach students how to learn. Add recall practice, explanations in their own words, predictions, and reflection to help learners check their understanding and plan later review while studying the main concepts.
Learn GitHub Copilot CLI through guided lessons, multiple-choice quizzes, and practical scenarios. Track progress with experience points, review commands and settings, and check understanding with a final exam.
Inspect an Azure resource group and turn its resources and connections into a Mermaid architecture diagram, a text-based diagram format. Create Markdown documentation with a resource inventory, configuration details, and explanations of network, data, and identity relationships.
Test whether you understand a concept and whether evidence supports a decision using frameworks drawn from Richard Feynman’s work. Explore concrete examples, simple demonstrations, counterevidence, and the limits of analogies to expose gaps in reasoning.