search-interceptor
💡 Bulk file read optimizer. Suggests semantic search alternatives when reading multiple files. Helps reduce token usage by using claudemem's ranked results instead of sequential file reads.
Browse published AI skills maintained by MadAppGang. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
112Repository stars across indexed skills
28,364Repository forks
2,543Average repository stars per indexed skill
253Repository stars may repeat across skills from the same repository.
💡 Bulk file read optimizer. Suggests semantic search alternatives when reading multiple files. Helps reduce token usage by using claudemem's ranked results instead of sequential file reads.
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly reque...
Implements UI components from scratch based on design references (Figma, screenshots, mockups) with intelligent validation and adaptive agent switching. Use when user provides a design and wants pixel-perfect U...
FFmpeg fundamentals for video/audio manipulation. Covers common operations (trim, concat, convert, extract), codec selection, filter chains, and performance optimization. Use when planning or executing video pr...
On-page SEO optimization techniques including keyword density, meta tags, heading structure, and readability. Use when optimizing existing content or validating new content against SEO requirements.
Use when analyzing architecture and system design. Find design patterns, map layers, identify core abstractions via PageRank. Uses claudemem AST structural analysis for efficient architecture investigation.
💡 Tool selector for code search tasks. Helps choose between semantic search (claudemem) and native tools (Grep/Glob) based on query type. Semantic search recommended for: 'how does X work', 'find all', 'audit'...
Use when integrating Apidog + OpenAPI specifications with your React app. Covers MCP server setup, type generation, and query layer integration. Use when setting up API clients, generating types from OpenAPI, o...
Use when setting up new projects or updating tool configurations. Configures Vite, TypeScript, Biome, and Vitest for React 19 projects. Covers build configuration, strict TypeScript setup, linting/formatting, a...
Create development track with spec and hierarchical plan through interactive Q&A
Schema.org markup implementation patterns for rich results. Use when adding structured data to content for enhanced SERP appearances.
Techniques for expanding seed keywords and clustering by topic and intent. Use when building keyword lists, planning content calendars, or identifying topic clusters for pillar content strategy.
Use when managing server state with TanStack Query v5. Covers query key factories, data transformation, mutations, optimistic updates, authentication, testing with MSW, and best practices for async state manage...
Task lifecycle state transitions with validation gates. Defines states, triggers, and required proofs.
Implement quality gates, user approval, iteration loops, and test-driven development. Use when validating with users, implementing feedback loops, classifying issue severity, running test-driven loops, or build...
Use when setting up routes, implementing navigation, or configuring route loaders. TanStack Router patterns for type-safe, file-based routing. Covers installation, route configuration, typed params/search, layo...
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.