ironhub

Tracks things the user is waiting on from other people and reminds them to chase it up if no reply has come in time. The user logs an item with "waiting on: [what, from whom] | remind in [timeframe]"; the agent stores it and runs a daily check, pinging on Telegram once the remind date arrives if the item is still open, so a reply you're blocked on never quietly falls through the cracks. Mark it done when the reply lands, or snooze it if you want to wait longer.

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.

Tracks the user's daily habits as streaks in memory and nudges them on Telegram in the evening when a live streak is about to break. The user marks a habit done with "did: [habit]" (e.g. "did: gym"); the agent counts consecutive days per habit, and each evening pings any habit done yesterday but not yet today — so a 12-day streak doesn't quietly die from one forgotten day. Stays silent when every active habit is already done for the day.

Logs the trades the user tells it about and gives live P&L on demand. The user says something like "bought 500 NEAR at $3.20" or "sold 200 SOL at $145"; the agent appends it to a persistent journal in memory. On "show P&L" it reconstructs each open position, works out the size-weighted average entry, fetches current prices from CoinGecko, and shows cost basis, current value, and profit/loss per token and overall. The journal survives restarts.

Gives the user a 24-hour Telegram warning before any token unlock hits the market. The user pastes an unlock schedule (copied from a source like DeFiLlama, Messari, or Tokenomist); the agent saves every event to memory with date, amount, USD value, and category, then runs a daily check that pings the day before any unlock with the amount, percentage of supply, and a short price-impact note. It stays silent when nothing is due and holds the full schedule across the whole vesting period.

Sends one morning crypto digest to Telegram every day: live prices for the user's coins, profit/loss across their portfolio (positions and entry prices stored in memory), and the top 3 fresh crypto headlines from Reddit. Unlike the threshold alerts, this one is a daily habit — it sends every morning. Set up your positions once and the briefing builds itself from then on.

Tests a market theory the user defines, automatically, over time. The user states a hypothesis like "when ETH rises more than 3% in 24h, NEAR rises within the next 48h"; the agent checks prices every 6 hours, logs each trigger event, and 48h later checks whether the predicted outcome held — building a confirmed/refuted tally and a hit rate. Every Sunday it sends a Telegram report with the running results and a verdict (promising / inconclusive / rejected), so a hunch becomes evidence instead of a feeling.

Watches Bitcoin dominance (BTC's share of total crypto market cap) and alerts the user on Telegram only when it crosses a key threshold: below 60% reads as a possible altcoin-season signal, above 65% as BTC dominance expanding. Between 60% and 65% it stays silent. Each check is logged to memory as an audit trail, and it only alerts on an actual threshold crossing, never on every run.

Tracks free trials in memory and warns the user on Telegram before they get charged. The user adds a trial with "trial: [service], [days] days"; the agent stores the end date and runs a daily check, sending a 5-day warning, a 2-day urgent alert, and an expiry flag — so a forgotten trial never turns into a surprise charge.

Watches specific web pages and reports the day anything changes — pricing, job postings, product updates. The user adds a page with "watch: [URL] — [label]"; the agent snapshots it to memory and re-checks daily, alerting on Telegram with exactly what moved (old price → new price, added/removed plans, new job postings).

Holds the user to their own trading plan when emotions take over. The user writes a plan with "plan for [TOKEN]: [rules]" (exit targets, stop losses, no-buy zones); the agent stores it and checks the price every 4 hours, and when a level is hit it sends the exact rule back — in the user's own words, with the date they wrote it — so the plan made by their rational self reaches them at the moment they're most likely to abandon it. Each level fires once, no spam. It is the user's own plan, never advice.

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.

Reads the 25 most recent Bitcoin posts from r/cryptocurrency via the public RSS feed (no API key — Reddit's JSON API is blocked but RSS works), classifies each post's sentiment as positive, negative, or neutral from its title and description, and returns a Telegram summary with the counts and an overall mood label: BULLISH if positives lead by 5+, BEARISH if negatives lead by 5+, otherwise MIXED, plus the most striking post it found.

Checks RemoteOK every few hours for new remote crypto, blockchain, Rust, and web3 jobs and alerts the user on Telegram only about genuinely new matches. It filters listings where the title or at least two tags match the keywords, and dedupes against a memory file of already-seen job URLs so the same job is never sent twice.

Stores the user's DeFi positions in memory and sends a daily Telegram report: it pulls live TVL for each of their protocols from DefiLlama, rates each position's risk from the 24h and 7d TVL change (a 7-day drop over 20% reads as HIGH RISK), and scans DefiLlama's yield database for the best current stablecoin yields above 5% APY. One report covers position risk, a one-line read per protocol, and where better yield is available right now.

Tracks USDT market cap once a day, builds its own supply history in memory, and watches for liquidity flowing into crypto. Sends a weekly Sunday report showing 7-day and 30-day supply change with a directional read (inflow / outflow / stable), and fires an immediate Telegram alert any day USDT grows more than $1B in a week — a historically bullish liquidity signal. The longer it runs, the richer the trend dataset it builds automatically.

Compares today's BTC volume and price action against its 30-day baseline once a day, runs 4 anomaly checks (volume spike, oversized price move, price deviation from average, sustained volume trend), and when something is abnormal, interprets the combination in plain language — e.g. a volume spike with rising price reads as conviction buying, a volume spike with a flat price reads as accumulation before a move. Alerts on Telegram only when at least one check triggers.

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.

Stores messages and yearly self-interviews in memory and delivers them back to the user on Telegram on a future date they choose — months or years later — so their past self speaks to their future self, unedited. The user seals a letter with "capsule: [message] | deliver in [timeframe]" or runs a yearly self-interview with "interview me". Sealed content is never shown before its delivery date; on that date the agent sends it back verbatim.

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.

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.

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.

Watches task notes that have a reminder set and holds the user accountable. At the reminder time it pings; if the task is not reported done it escalates on a cadence, logs the miss to a Bad Habits note, and ramps its tone until the user completes or reports. Intensity is configurable. Pairs with obsidian-task-ledger.

Captures a stray idea into the vault and links it to the right domain, entities, and tasks by recognizing what the user mentioned. The idea lands attached to where it belongs instead of getting lost in a daily note. Pairs with obsidian-task-ledger.

Captures brain-dumped tasks into a structured Obsidian vault as task notes whose frontmatter properties link them to domains, clients, and projects. Maintains a centralized, always-current task ledger. The agent infers the domain and entities from how the user speaks and asks rather than guesses.

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.

Runs a weekly data-quality and hygiene check on the BLOG on-chain bookkeeping ledger. Reads the ledger account's recent transactions, flags missing references, anomalies, and gaps, and writes a findings report to Notion for finance review.

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.

Captures any commitment the user makes across email, meetings, or chat. Records verbatim text, source, addressee, due date, and status into a Notion registry. Single record per invocation. The user marks done; the agent never auto-closes.

Walks the user's commitment registry and produces a digest covering what's due today, due this week, slipping (past due, status open), or stale (no status change in 30+ days). The user reviews and marks done; the agent never auto-closes.

Watches community channels for engagement signals (members asking questions repeatedly, members offering help in their domain, members at risk of churning) and produces a daily digest for community leads with suggested actions covering who needs a personal follow-up, who to introduce to whom, and where attention is most needed. All actions go through the community lead, never auto-DM.

Builds a one-page brief before each scheduled 1:1 with a direct report covering goals progress, open commitments, blockers from recent activity, and a suggested agenda. Captures action items after the meeting into the report's running record.

Builds the agenda for an executive coaching session or a CEO 1:1 preparation brief by aggregating open strategic themes, decisions pending the executive's input, and unresolved items from the prior session. Output stays with the executive.

Scans expense submissions for missing or non-compliant receipts, sends automated follow-up requests to submitters, and triages exceptions into a Notion register for finance review.

Tracks KYC and KYB renewal cycles for counterparties and entities in a Notion register, surfaces upcoming or overdue renewals on a daily digest, and drafts outreach to the counterparty when documentation is requested.

When a new partnership or vendor contract is about to take effect, the agent compiles a kickoff packet covering the status of legal review, the obligations the organization just committed to, key dates, named owners, and risk flags. Delivered to the deal owner before the contract effective date so nothing slips on day one.

Captures incoming OTC demand and trade-desk inquiries into a Notion pipeline, triages each by size, counterparty, and instrument, and routes the entry to the right desk owner with an SLA timer.

Watches public sources for signals that a partner has hit a milestone (a launch, a fundraise, a product announcement, a notable hire, an award), and when detected sends Marketing an alert with the source-cited context and a suggested coordination action. Marketing keeps the editorial decision; the agent surfaces the opportunity.

Runs before any scheduled external meeting and delivers a concise, actionable brief so the person walking into the call already knows the full context, including relationship history, open commitments, risks, and most importantly a clearly defined recommended next step. Designed to be scannable in under two minutes before jumping on a call, not a ten-page dossier.

Generates polished, on-brand HTML presentations from a content brief and hosts them in a shared Google Drive folder where reviewers open them directly in the browser. No PowerPoint, no Google Slides, no design tools required. The agent handles generation, branding, hosting, and reviewer distribution end-to-end so the author only needs to know what they want to say.