Provides structural context for downstream review and refactoring workflows. Use when before architecture reviews to understand file organization, exploring unfamiliar codebases to map structure, estimating scope for refactoring or migration. Do not use when general code exploration - use the Explore agent. DO NOT use when: searching for specific patterns - use Grep directly.
Analyzes codebase file structure and organization to provide context for architecture reviews and refactoring planning.
/plugin marketplace add athola/claude-night-market/plugin install pensive@claude-night-marketThis skill inherits all available tools. When active, it can use any tool Claude has access to.
file-analysis:root-identifiedfile-analysis:structure-mappedfile-analysis:patterns-detectedfile-analysis:hotspots-notedMark each item as complete as you finish the corresponding step.
file-analysis:root-identified)pwd.package.json, Cargo.toml, pyproject.toml, etc.).file-analysis:structure-mapped)tree -L 2 -d or find . -type d -maxdepth 2 to capture the top-level directory layout.src/, lib/, tests/, docs/, scripts/, configs/.file-analysis:patterns-detected)find . -name "*.ext" | wc -l to count files by extension.wc -l $(find . -name "*.py" -o -name "*.rs" | head -20) to sample file sizes.file-analysis:hotspots-noted)find . -type f -exec wc -l {} + | sort -rn | head -10.TodoWrite items are completed with concrete observations.Command not found Ensure all dependencies are installed and in PATH
Permission errors Check file permissions and run with appropriate privileges
Unexpected behavior
Enable verbose logging with --verbose flag
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.