GitHub
web-scraping
Enables intelligent web scraping and data extraction using Firecrawl. Use when extracting content from web pages, crawling sites, or searching the web.
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Testing & security AI Skills
Discover Testing & security skills, compare source repositories and read the instructions for each workflow.
Categories: Testing & security
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GitHub
md-container-environment
Development environment and tool integration guide for the md container. Reference for Chrome DevTools MCP, Node.js, virtualization, and other system tools. See ~/AGENTS.md for complete tool list.
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GitHub
verification-before-completion
Use before declaring any task complete - ensure work actually meets requirements
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GitHub
using-skills
Use at the start of every session - introduction to the skills system and how to apply skills
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GitHub
executing-plans
Use when executing a written plan - one task at a time with verification checkpoints
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GitHub
code-review
Use when preparing code for review or responding to review feedback
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GitHub
brainstorming
Use BEFORE any creative work - creating features, building components, adding functionality, or modifying behavior
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GitHub
writing-plans
Use when task requires multiple steps, touches multiple files, or takes more than 15 minutes
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GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior - before proposing fixes
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GitHub
test-driven-development
Use when implementing any feature or bugfix - write tests first, watch them fail, then implement
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GitHub
rust-dev
This skill should be used when working with Rust code, reviewing Rust code, managing Rust dependencies, creating Rust projects, or fixing Rust compilation errors. It provides strict coding standards (especially...
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GitHub
review-loop
Use when code changes need multi-pass automated review before merge
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GitHub
skill-developer
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation,...
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GitHub
testing-strategy
Comprehensive guide for implementing AIDB tests following E2E-first philosophy, DebugInterface abstraction, and MCP response health standards
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GitHub
dap-protocol-guide
Comprehensive guide for working with Debug Adapter Protocol in AIDB
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GitHub
dev-cli-development
Guide for developing AIDB dev-cli commands and services. Covers Click framework patterns, service architecture, command development, decorators, error handling, CommandExecutor, CliOutput, BaseService, BaseMana...
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GitHub
aidb-architecture
Comprehensive architectural reference for AIDB core and MCP integration. Covers 6-layer architecture (MCP, Service, Session, Adapter, DAP Client, Protocol), component organization, data flow patterns, and desig...
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GitHub
adapter-development
Comprehensive guide for AIDB debug adapter development. Covers component-based architecture, language-specific patterns (Python/debugpy, JavaScript/vscode-js-debug, Java/java-debug), lifecycle hooks, process ma...
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GitHub
ci-cd-workflows
Guide for GitHub Actions workflows, test orchestration, parallel testing, adapter builds, releases, and CI/CD configuration. Use when working with .github/workflows/, versions.json, or troubleshooting CI issues...
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GitHub
code-reuse-enforcement
CRITICAL guardrail for preventing code duplication and magic strings in the AIDB codebase. Enforces discovery of existing constants, enums, and utilities BEFORE writing new code.
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GitHub
adding-localizable-strings
Adds new human-readable strings that are translated into users' languages.
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GitHub
adding-persistent-event
Adds a new type of event that gets persisted to the event log. Use this when adding new kinds of write operations to the system or when adding new events to existing code.
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GitHub
benchmarking-optimization
This skill should be used when the user asks to "run benchmarks", "profile performance", "measure allocations", "optimize render speed", "find hot paths", "generate flamegraph", or mentions stackprof, memory pr...
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GitHub
progressive-disclosure
Template and guide for restructuring large documentation files into token-efficient directory structures. Reduces context bloat by 40-60% while maintaining accessibility.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.