Agent Builder Stack

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.

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.

No description.

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.

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).

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.

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.

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.

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.

Microsoft Graph integration. 14 actions across Outlook, Excel, Teams, OneDrive, SharePoint, Calendar, plus Word and PowerPoint document generation. OAuth via Microsoft Entra ID.

NEAR Protocol JSON-RPC integration. 27 actions covering account state, access keys, contract storage and code, view function calls, blocks, chunks, validators, transaction lifecycle, gas and protocol config, state changes, network status, and light-client proofs. No credentials required for read actions.

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.

At the start of a planning cycle (monthly or quarterly), the agent walks the active project list, scores each against the organization's stated strategic priorities from the vision doc, surfaces projects that don't ladder up to a priority, and produces a prioritization brief leadership reviews. Recommendations are inputs to a human decision, not the decision.

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.

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.

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.

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.