1.3K skills · sorted by relevance
Create and maintain OpenAPI 3.1 specifications from existing code or initial designs. Use these API descriptions to prepare documentation, generate client SDKs—libraries for calling an API—and check whether implementations match their specifications.
Build workflows that generate changelogs and release notes from commits, pull requests, and releases. Use Keep a Changelog formatting, standardize commit messages with Conventional Commits, and manage version numbers through Semantic Versioning rules.
Revise an existing course by correcting slide text, adjusting layouts, repairing quizzes, updating narration, or reordering pages. Edits preserve the course’s established voice and design while focusing on the specific changes requested.
Split multi-step coding, research, or testing into focused assignments for sub-agents, which are agents handling specific parts of a task. The parent agent retains design decisions, integration, and final verification while independent work runs in parallel.
Create text diagrams with PlantUML for README files, emails, and terminal workflows. Convert diagram definitions into plain ASCII or Unicode box-drawing output to share interactions and relationships where image-based diagrams are unsuitable.
Generate images from text, edit an existing picture, or combine up to three source images using Gemini 3 Pro Image through OpenRouter. Choose 1K, 2K, or 4K output and save the results as image files.
Analyze Git changes, group related files for staging, and create commits using Conventional Commits, a structured message format. Infer the change type and scope from the diff, with optional user overrides for the type, scope, and description.
Create and edit draw.io files for workflows, system architecture, database relationships, and service interactions. Organize shapes and connectors, apply consistent styling, and check file structure so diagrams can be opened and edited in draw.io.
Review Azure infrastructure code and deployed resources against five Well-Architected Framework pillars. Identify configuration drift, classify risks, and produce remediation guidance and an architecture diagram, with GitHub issues created after user approval.
Turn a broad product idea into an Epic PRD, a requirements document for a large initiative. Defines users, workflows, business requirements, success metrics, and scope to give engineering teams a basis for technical architecture planning.
Create an AGENTS.md file that explains how coding agents should work in a project. Examine its structure and existing configuration, then document setup commands, development workflows, tests, coding conventions, builds, and contribution requirements.
Turn a Python script into a beginner-friendly project by improving its structure and naming, adding comments that explain the reasoning, and creating a README.md tutorial covering setup, code logic, and example usage.
Review Git changes and prepare consistent commit messages using Conventional Commits, a format that labels each change by type and scope. The workflow includes message validation, optional explanatory details, and committing changes through Copilot.
Set up a Python project with AWS CDK, a toolkit for defining cloud infrastructure in code. Follow guidance on prerequisites, AWS credentials, virtual environments, dependencies, template generation, deployment preparation, and reviewing changes before deployment.
Review an AI agent codebase against ten OWASP ASI security risk areas. Examine tool permissions, input validation, identity checks, audit logs, and other controls, then summarize coverage, gaps, and recommended improvements in a report.
Check AI agent plugins and tools for changed, missing, or untracked files using SHA-256 file fingerprints. Generate integrity records, review dependency version settings, and check requirements before promoting a plugin to production.
Compare C# Web API source code with its TypeScript or JavaScript clients to find mismatched data fields, required inputs, and response handling. Receive an audit report showing client impact, severity, and confidence in each match.
Design Azure infrastructure from plain language or visualize existing resources as interactive diagrams. Refine the architecture through conversation, then generate Bicep infrastructure code, review it, and validate changes before deployment.
Review AWS infrastructure code and deployed resources against the six Well-Architected pillars. Produce risk-ranked findings, remediation examples, and an architecture diagram, then create GitHub issues for tracking improvements after user confirmation.
Verify file splits, function moves, module extractions, and renames by reproducing changes from a base commit and comparing files byte for byte. Generate repeatable proof scripts and reports that expose changes beyond relocation.
Recognize classic candlestick patterns using pandas, a Python library for tabular data. Combine bullish and bearish pattern scores into long, short, or stand-aside signals, with adjustable thresholds for candle bodies and shadows.
Detect five-point price patterns using Fibonacci ratios and generate buy, sell, or stand-aside signals. The skill identifies Gartley, Bat, Butterfly, and Crab patterns and locates potential reversal zones, where a price trend may change direction.
Analyze candlestick data using Chan theory, a method based on price structure. Detect turning points, movement segments, and overlapping price zones, then generate buy and sell signals and compare patterns across timeframes.
Analyze crude oil, gold, and copper using supply and demand, inventories, futures prices, and seasonal patterns. Combine these factors with macroeconomic conditions to produce research reports showing market direction, confidence, and specific risks.