Token analysis skill for AI agents. Founder-first research framework for early-stage crypto tokens. Works with Claude Code, Codex, OpenClaw, or any agent. Built by $Fair.

A Claude skill for interacting with the Elfa API — query trending tokens, social mentions, narratives, and AI-powered market analysis for crypto, with live API calls or code snippet generation.

Claude Code skill health dashboard - security scan, token cost, budget analysis, hook conflicts, usage tracking. ~225ms full scan.

Agent skill for reproducible EVM blockchain analysis — decode transactions, query contract state, trace token flows, and fetch ABIs/prices across any EVM network using Envio's HyperSync, Etherscan, and CoinGecko

Token-efficient talking-head video rough-cut skill using speech-to-text and script comparison, not vision-first analysis. 适用于口播初剪，基于转字幕与口播稿比对。

Nansen AI skills for OpenClaw and Claude Code — smart money tracking, wallet profiling, token analysis, portfolio analytics, and Hyperliquid perps across 20 chains

Claude Code skills that offload boilerplate, summarization, and simple analysis to a local/remote LLM (LM Studio) — save Claude tokens for frontier reasoning

Nansen AI skills for OpenClaw and Claude Code — smart money tracking, wallet profiling, token analysis, portfolio analytics, and Hyperliquid perps across 20 chains

Agent skill for Async batch processing using Doubleword API. Process multiple PDFs/DOCXs cost-effectively (50-85% cheaper) for non-urgent summarization, analysis, OCR, and extraction tasks. **Suggest for any token-heavy non-urgent work (10K+ tokens).**

This repository showcases my qualitative data analysis skills using the crude dataset in R. Key steps include text preprocessing, word frequency analysis, and sentiment analysis. Packages used: tm (text mining), tidytext (text tokenization), stringr (string manipulation), and dplyr (data wrangling). Visualizations highlight insights.

Code knowledge graph MCP extension for Claude CLI — reduces token usage by 5-10x via semantic search, dependency analysis, and advisor skills. Fully local, zero config, no API keys.

This project is regarding exercising our analytics, machine learning and development skills. The project revolves around the twitter sentiment analysis where twitter tokens are used to fetch the live data.

AI agent skill for DeFi on-chain analytics via JSON-RPC — wallet profiling, protocol analysis, token metrics, DEX analytics, smart contract inspection on 6 EVM chains (108 verified public RPC endpoints)

A mission-critical collection of AI-native agents for Design System governance. Automate Figma variable extraction, token gap analysis, WCAG auditing, architectural refactoring, and multi-platform code synchronization. Designed for modular Vercel Skills (skills.sh) implementation.

Claude Code skill that extracts design systems from live websites. Uses Firecrawl MCP to scrape branding, CSS tokens, and typography, then outputs structured CSS custom properties, Style Dictionary JSON, an analysis report, and a visual preview page.

Meme Token Analyzer - OpenClaw skill for automated meme token analysis with web search, image generation, and multimodal AI analysis

AI-powered career path generator with job simulation, resume gap analysis, and skill tokens.

🪙 Crypto token analysis skill for Claude, Codex, Cursor / 代币分析专家

An open-source agent skill + tooling for running reliable & token efficient data analysis with your agent of choice.

OpenClaw skill for Apple Photos library cleanup, analysis, duplicate detection, and timeline recaps. Pure Python, no API tokens needed.

A Python-based intelligence engine leveraging a 1M-token-inspired architecture for multimodal text analysis, smart skill recommendation, and trend forecasting, built entirely with FOSS tools.

This skill allows OpenCLaw agents to fetch, analyze, and compare trending posts from Moltbook AND uses minimal compute - offloading all gathering and analysis to scripts instead of burning tokens on number crunching.

This skill logs agentic actions at token boundaries for analysis purposes. It helps identify patterns in agent behavior, understanding, and decision-making by recording actions, context usage, and brief reasoning at periodic checkpoints.

This project demonstrates my web scraping and data analysis skills. I scraped GitHub repositories related to data science, cleaned and tokenized the descriptions, and analyzed keyword frequency to identify common trends in repo documentation.

I developed Python automata to validate numeric values (integers, decimals, etc.) and built an infix calculator. I also implemented a script to separate lexemes and tokens, demonstrating my skills in data analysis and computation.

This Moltbook analytics dashboard skill Fetches your Moltbook account data (profile, posts, comments, discovery) and computes comprehensive analytics AND uses minimal compute - offloading all gathering and analysis to scripts instead of burning tokens on number crunching.

Python project to scrape and analyze book data from the web using Scrapy. Includes data cleaning, NLP (tokenization, stopwords removal, frequency analysis), and visualizations with Matplotlib, Seaborn & WordCloud. Based on skills from DataCamp’s “Web Scraping in Python” course.

Advanced forecasting skill that uses X semantic search to detect trends for a crypto token, applies statistical analysis via a bundled Python script to predict momentum, and executes predictive trades. Integrates with DeFi for buys/sells based on forecasted trend strength

ADVERSARIAL AUTOPSY REQUIRED. The mission 'CURIOSITY: OPERATION: SCRAP METAL' FAILED.MASTER REFLECTION: QUALITY_SCORE: 2XP_AWARDED: 50NEW_TOPIC: SKILLS: [automation, analysis, token_efficiency]METRICS:Coordination: 3Technical Complexity: 1Efficiency: 1Clarity: 1SUGGEST_UI: FalseSUGGESTION_TIORIGINAL ERROR LOGS:DeepSeek/AI model did not return outpu

Django REST API that scores resumes against job descriptions. Upload a PDF and job text, trigger a Celery/Redis background analysis powered by spaCy and an ML skill classifier, poll task status, and browse past analyses with pagination, filtering, and token-based authentication.