Dlazy Grok 4.2

Efficient text generation, dialogue QA, and logical reasoning using Grok 4.2 text model.

Ant Design Skill

Skill for efficiently building React UIs using Ant Design v5+ with layouts, forms, tables, modals, theming via ConfigProvider, and consistent component patte...

Startup Metrics

Track, calculate, and optimize key performance metrics for startups from seed through Series A. Covers unit economics, growth efficiency, and business models.

DynamoDB

Design DynamoDB tables and write efficient queries avoiding common NoSQL pitfalls.

Meta Ads Audience Analysis

[Didoo AI] Analyzes Meta Ads audience efficiency across audience types, overlap, demographics, and budget allocation. Use when reviewing targeting strategy,...

Practical Guide To Llm Fine Tuning With Lora

Guide on efficiently fine-tuning large language models using LoRA adapters with Python code examples and configuration details.

Multi Agent Blueprint

Blueprint for deploying 5-10 specialized AI agents with role-based design, cross-agent routing, Telegram integration, and model tiering for cost-efficient te...

Stop Burning Tokens — OpenClaw Cost Diagnostic Primer

Diagnostic framework to identify and reduce token waste in OpenClaw deployments, cutting costs by applying efficient data handling and model use practices.

Botlington Agent Token Audit

Trigger an Agent Token Audit via Botlington's A2A endpoint. Use when you want to audit an AI agent's token efficiency — identifies model waste, context bloat...

Vector Memory Hack

Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant context before starting a task, (2) Search through large memory files efficiently, (3) Retrieve specific rules or decisions without reading entire files, (4) Enable semantic similarity search instead of keyword matching. Lightweight alternative to heavy embedding models - zero external dependencies, <

Peft Fine Tuning

Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.

openocr-skill

Extract text from images, documents and scanned PDFs using OpenOCR - a lightweight and efficient OCR system with document parsing model requiring only 0.1B parameters, capable of running recognition on personal PCs. Supports text detection, recognition, universal VLM recognition, and document parsing with layout analysis

UX

Design and analyze user experiences that are intuitive, efficient, and aligned with user mental models.

Arya Model Router

Efficiently routes tasks between cheap, default, and pro models using optional sub-agents and briefing to minimize token use and cost.

Deep Strategy

Advanced AI assistant specializing in decomposing, planning, and delegating strategic tasks to complete them efficiently and strictly according to user input.

Performance Optimization

Optimize web performance and LLM API costs. Covers loading speed, runtime efficiency, resource optimization, and cost-aware LLM pipelines with model routing,...

Cost Optimizer

Smart cost optimization skill for OpenClaw. Reduces API costs by 70-97% through intelligent model routing, session management, output efficiency, and free mo...

Model-Selector

A powerful model routing skill that analyzes query intent and cost-efficiency to select the optimal LLM (Elite/Balanced/Basic) before execution.

Focus Master

Manage tasks with configurable Pomodoro timers, track time spent, analyze time allocation, block distractions, and generate efficiency reports.

IDC Enterprise Agent COMPASS

Based on the IDC COMPASS model, diagnose enterprise business process efficiency constraints to identify optimal Agent entry points, and match supplier direct...

Rona Chart

Decompose Return on Net Assets into component ratios. Use for asset efficiency analysis, capital structure review, and business model comparison.

TurboQuant+ KV Cache Compression

TurboQuant+ compresses llama.cpp KV caches on Apple Silicon up to 6.4x with minimal quality loss, enabling larger models and longer contexts efficiently.

code-modification-guard

Ensures code modifications are safe, precise, and efficient. Enforces understanding user intent, following authorized scope, never modifying code elements wi...

pctx — MCP Aggregation & Code Mode

MCP aggregation and Code Mode execution layer for token-efficient agent workflows. Wraps portofcontext/pctx — connects agents to Linear, GitHub, and other MC...

Absolute Mode

Protocol for absolute communication efficiency. Strips all conversational formatting, emotion, and filler. Maximizes token economy and information density. T...