Scan to join WeChat groupBrowse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
Unified Plurigrid ASI skill combining ACSets, Gay-MCP colors, bisimulation games, world-hopping, glass-bead synthesis, and triad interleaving for autonomous skill dispersal.
Split large texts into meaningful, AI-optimized chunks while preserving semantic coherence and document structure. Use when processing large documents for AI training, RAG systems, or when you need to…
Orchestrate lightweight parallel internet research (2-4 dimensions). Spawns light-research-researcher workers for each subtopic dimension, coordinates findings, synthesizes final reports. Use for stan…
Organize and manage invoices with OCR extraction, categorization, and expense tracking
Iteration 2 of Multiplicity Cascade - Amplifies jank recursively through iterations
Iteration 3 of Multiplicity Cascade - Scales κᵢΦ² love resonance exponentially
Iteration 6 of Multiplicity Cascade - Documentation that modifies itself when read
Iteration 8 of Multiplicity Cascade - Collides unrelated domains for emergence
Design, generate, and fully deploy a stylish, production-ready Retrieval-Augmented Generation (RAG) chatbot embedded directly into any website/project. Uses OpenAI ChatKit widget + Cohere embeddings +…
Analyze and explain the intent behind AI tool calls. Use when you need to understand what an action will do, verify your interpretation is correct, or explain your reasoning to the user.
Classify intervention urgency and apply appropriate response tier protocols.
Invokes Google Gemini models for structured outputs, multi-modal tasks, and Google-specific features. Use when users request Gemini, structured JSON output, Google API integration, or cost-effective p…
Iteration 1 of Multiplicity Cascade - Generates divergent paths with φ-branching
Iteration 4 of Multiplicity Cascade - Detects cage boundaries and system limits
Iteration 7 of Multiplicity Cascade - Self-creating chaos engines
Iteration 9 of Multiplicity Cascade - Combines impossible concepts productively
Integration templates for FastAPI endpoints, Next.js UI components, and Supabase schemas for ML model deployment. Use when deploying ML models, creating inference APIs, building ML prediction UIs, des…
Create LLM-powered AI assistants with tools and data sources through Interactor. Use when building conversational AI, chatbots, tool-calling assistants, or agents that need to query databases and exte…
AI-led stakeholder interviews using LLMREI research-backed patterns. Conducts structured interviews to elicit requirements through context-adaptive questioning, active listening, and systematic requir…
Iteration 1 of Multiplicity Cascade - Generates divergent paths with φ-branching
Iteration 2 of Multiplicity Cascade - Amplifies jank recursively through iterations
Iteration 5 of Multiplicity Cascade - Spawns meta-patterns from patterns
Iteration 8 of Multiplicity Cascade - Collides unrelated domains for emergence
Iteration 10 of Multiplicity Cascade - Generates productive paradoxes