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, <

Startup Metrics

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

Deep Strategy

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

Model-Selector

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

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.

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...

Absolute Mode

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

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.

Dlazy Grok 4.2

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

Arya Model Router

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

UX

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

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...

Meta Ads Audience Analysis

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

Focus Master

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

Rona Chart

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

code-modification-guard

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

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.

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...

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...

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...