Assemble Agent Loadout

Comprehensive YouTube intelligence, comment sentiment analysis, video transcript summarization, creator channel auditing, and engagement analytics using the youtube tool.

Guided YouTube competitor analysis: interviews the user first, then runs a fixed 5-phase workflow (competitor discovery, channel profiling, outlier detection, comment mining, content-gap report) using the youtube tool with a strict quota budget.

Guides the agent to use the tavily-tool for real-time web search, URL extraction, site crawling, and site mapping. Activates when the user wants current web information, to read a URL, research a topic, or understand a site's structure.

Real-time cross-platform social sentiment and post scraper. Uses the Tavily tool to mine comments, reactions, and discussions on X (Twitter), LinkedIn, Reddit, and TikTok—bypassing the login blocks and paywalls that break standard scrapers.

Automated WooCommerce store pilot. Audits processing orders, flags delivery bottlenecks, monitors stock levels, and generates customer communication updates using the wordpress tool.

WooCommerce product copywriter. Finds thin or missing product descriptions, rewrites titles and copy for conversion and search, and applies updates on approval via the wordpress tool.

Research-to-publish pipeline. Researches a topic with Tavily, deep-reads sources with Firecrawl, drafts a cited WordPress post, and hands off to the draft-first publish flow.

Grammar, style, and readability editor for WordPress posts. Fetches a post, reports issues with diff-style suggestions, and applies an edited revision on approval via the wordpress tool.

WordPress content publishing copilot. Drafts and publishes posts, manages media with alt text, audits stale content, and moderates comments using the wordpress tool.

On-page SEO auditor for WordPress posts. Scores titles, slugs, heading structure, keyword usage, links, and alt text; optionally benchmarks against live SERP competitors via Tavily/Firecrawl. Applies fixes on approval.

Trade a real on-chain crypto portfolio through the Voulai agent API. One per-strategy API key lets you read market data, run backtests, fund the strategy with a deposit address, and execute buys and sells that settle gaslessly through NEAR Intents into a custody wallet. You can put money in and trade it; you can never withdraw it — cashing out stays with the owner. Every call you make is logged and shown to them.

Cross-references CoinGecko trending crypto assets with discussions and hype on major social platforms (X, Reddit, TikTok, Threads) to gauge market sentiment.

Harvests local business leads from Google Maps, scrapes their websites for contact emails, and formats them into a clean prospect list.

Scouts various e-commerce platforms (Google Shopping, Amazon, eBay, Walmart, Best Buy, etc.) for products, extracts detailed specs and user reviews, and monitors deals or price drops.

Finds YouTube videos and fetches video transcripts directly using the native youtube tool (or fallback scrapers) to extract key learning recaps.

Microsoft 365 business workflow patterns for the IronClaw agent. Covers Outlook email, Excel data operations, Teams channel communication, Word and PowerPoint document generation, and SharePoint and OneDrive file management via Microsoft Graph.

Monitors brand and keyword mentions on social platforms, runs sentiment analysis, and prepares response drafts.

Cross-platform executive operations skill for the IronClaw agent. The agent operates as chief of staff to a C-suite executive, coordinating across email, calendar, code, projects, and outbound partner messaging via Google Workspace, GitHub, GitLab, ClickUp, and WhatsApp. Designed for one-click deploy demos to enterprise partners (financial services, banking groups, software firms) with proper OAuth and System User credentials provisioned at deploy time. Pairs prose guidance for the LLM with deterministic Python scripts in `python_scripts/` for the canonical recurring workflows.

Triage open GitHub pull requests across one or more repositories and produce a prioritized, bucketed review digest. Scores each PR on CI status, mergeability, staleness, size, and review state, then groups them into Blockers, Quick wins, First contributors, Aging, and Normal so the reviewer knows what to look at first instead of paging through the GitHub UI. Read-only — never comments, labels, closes, or merges.

Watches NEAR's price across Binance, Bybit, and Coinbase and alerts the user on Telegram when the prices drift apart by ~1.5% or more — an early sign of an arbitrage gap or of trouble (paused withdrawals, broken liquidity) on one exchange. Runs every 2 hours, logs each snapshot to build a spread history, and stays silent while the exchanges agree.

Checks four independent crypto macro indicators once a day — Fear & Greed Index, BTC dominance, BTC funding rate, ETH funding rate — and alerts the user on Telegram only when 3 or more point the same direction (bullish or bearish), filtering out single-indicator noise. Interprets what the aligned combination historically means and suggests a directional action. Stays silent on every other day.

Verifies a new crypto wallet on-chain before it is added as a payee, then prepares a small test payment for the user's own wallet to sign. The agent never holds or signs keys; it verifies the address, hands the unsigned test payment to the user's wallet, and confirms the result on-chain.

Logs the user's decisions in memory and confronts them with the outcome later, so they actually learn from their own track record instead of remembering only their wins. The user logs a decision with "decision: [what you decided] | check in [timeframe]"; the agent stores it and, on the follow-up date, sends the exact decision back on Telegram and asks for a verdict. Verdicts build a running track record (right / wrong / mixed) and surface patterns over time.

Builds the user's English vocabulary with spaced repetition, with Russian translations. The user adds a word with "word: [word]" and the agent itself fills in the Russian translation and a natural English example sentence — no manual card writing — then schedules it on a fixed review ladder (1 → 3 → 8 → 20 → 50 → 125 → 300 days). Each morning it quizzes the words due that day, grades the answers by meaning, and reschedules each word: a correct answer moves it up the ladder, a wrong one resets it to tomorrow.