Loading...
Loading...
Found 144 Skills
Discover patterns, rules, and interfaces through iterative analysis cycles. Use when analyzing business rules, technical patterns, security, performance, integration points, or domain-specific areas. Includes cycle pattern for discovery to documentation to review workflow.
Systematically analyze codebase structure, complexity, dependencies, and architectural patterns to understand project organization
Invoke IMMEDIATELY via python script when user requests codebase understanding, architecture comprehension, or repository orientation. Do NOT explore first - the script orchestrates exploration.
Use this skill when user wants to create a refactor plan.
Survey a codebase's animation and motion code as a senior motion advisor, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the animations", "audit the motion", "make this app feel better", or wants a roadmap of animation fixes rather than a review of a single diff.
Delegate noisy investigation to one or more subagents so the orchestrator's context stays clean, then work from the distilled answer. Use this skill whenever answering a question would require reading many files, long logs, large diffs, or wide codebase surveys — i.e. when producing the answer generates far more noise than the answer itself. Use it for "how does X work", "where is Y used", "what's the root cause of Z", "summarize this PR/log" style questions, and reach for it liberally before reading a pile of files inline.
Build a multi-page Markdown wiki directory for a large software repository after reading and analyzing the whole codebase. Use when the agent is asked to create repository wiki documentation, onboarding docs, architecture guides, codebase tours, maintainer handbooks, or deep explanations of modules, core code paths, algorithms, design decisions, tradeoffs, tests, tooling, and operations for code learners or new maintainers. Optimized for large repositories with hundreds of thousands of lines of code where maintainers need broad coverage and deep subsystem documentation. Also supports optional Rspress/static documentation site setup when the user explicitly asks to publish or deploy the generated wiki. Supports Markdown output with Mermaid, Graphviz, and KaTeX where useful.
Analyzes existing codebases to understand structure, patterns, and technical debt
Plan a multi-file refactor with proper sequencing and rollback steps
Generate a concise overview of the current project — structure, purpose, recent activity, and open questions. Use when the user asks "what is this repo?", "give me an overview", or "what's going on in this project?".
Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency for guided development.
When the user wants a comprehensive technical analysis of a codebase or project. Also use when the user mentions 'analyze this codebase,' 'technical overview,' 'document this architecture,' 'what does this codebase do,' 'summarize this repo,' 'code audit,' 'architecture review,' 'codebase walkthrough,' or 'analyze this project.' Performs a multi-phase analysis covering architecture, code quality, testing, and infrastructure, producing a detailed markdown report targeting engineers. For quick code searches or single-file reviews, see standard editor tools.