founderOS

Researches individual competitors via web search to gather pricing, features, positioning, and reviews. Activates when the user wants to research a competitor, gather intel on a company, or asks 'what does [company] offer?' Covers multi-source intelligence gathering across official sites, review platforms, and community discussions.

Synthesizes competitive research into strategic insights, SWOT analyses, and positioning recommendations. Activates when the user wants a competitive analysis, market positioning review, competitor comparison matrix, or asks 'how do we stack up against the competition?' Identifies market gaps and strategic opportunities.

Extracts structured terms from legal contracts across 7 categories (Payment, Duration, IP, Confidentiality, Liability, Termination, Warranty). Activates when the user has a contract to analyze, wants to extract terms, review an agreement, or asks 'what does this contract say?' Supports PDF, DOCX, MD, and TXT formats with auto contract-type detection.

Evaluates contracts for harmful, unusual, or one-sided clauses using Red/Yellow/Green risk classification. Activates when the user wants to find contract red flags, assess legal risks, check for unfair terms, or asks 'is this contract safe to sign?' Provides plain-English explanations and concrete mitigation suggestions for freelancers and agency founders.

Creates and manages activity records in the CRM Communications database with AI-generated summaries. Activates when the user wants to log an email or meeting to CRM, record a client interaction, or asks 'save this to the client record.' Handles idempotent operations, deduplication, and AI summarization.

Matches email addresses and meeting attendees to CRM contacts using progressive matching. Activates when the user needs to identify which client an email belongs to, resolve a contact, or look up a client from an email address. Uses a 5-step algorithm from exact email match to fuzzy name matching with confidence scoring.

Orchestrates the full sync pipeline from Gmail and Calendar data to CRM Communications records in Notion. Activates when the user wants to sync emails or meetings to CRM, log client activities, or asks 'update my CRM with recent communications.' Handles single-item and batch sync with deduplication and error recovery.

Answers questions from Google Drive documents and generates summaries with inline citations. Activates when the user wants to ask about a document, summarize a Drive file, extract information, or asks 'what does this doc say about [topic]?' Handles multi-format extraction, answer synthesis, confidence assessment, and graceful no-answer responses.

Searches and navigates Google Drive to find files, list folders, and rank results by relevance. Activates when the user wants to find a file in Drive, browse folders, search for documents, or asks 'where's that spreadsheet?' Handles search query formulation, file type detection, folder traversal, and relevance scoring.

Generates comprehensive Markdown expense reports from invoice data and local receipt files. Activates when the user wants an expense report, spending breakdown, category summary, or asks 'show me my expenses for [period].' Aggregates from Notion Finance DB and local files with 7-section structure, trend analysis, and period-over-period comparisons.

Identifies sent emails awaiting replies and detects promises in email threads. Activates when the user wants to check follow-ups, find unanswered emails, track pending responses, or asks 'who hasn't gotten back to me?' Scans sent mail, detects bidirectional promises, scores urgency by age and relationship importance, and filters noise via smart exclusion rules.

Formats goal progress into visual dashboards with tables, progress bars, and Mermaid Gantt charts. Activates when the user wants a goal dashboard, progress report, timeline visualization, or asks 'show me a visual of my goals.' Covers dashboard layout, Gantt generation, and formatted report assembly.

Manages the full goal lifecycle: creation, milestone tracking, progress updates, and closure. Activates when the user wants to set, create, update, or close a goal, log a milestone, or asks 'add a new goal for [objective].' Handles CRUD operations, progress calculation, and Notion database management.

Analyzes goal health with RAG scoring, velocity tracking, and projected completion dates. Activates when the user wants to check goal progress, see a health dashboard, check velocity, or asks 'am I on track for [goal]?' Covers blocker detection, trend analysis, and milestone completion forecasting.

Computes composite health scores (0-100) for CRM clients from 5 weighted metrics. Activates when the user wants to check client health, find at-risk clients, score relationships, or asks 'which clients need attention?' Covers Last Contact, Response Time, Open Tasks, Payment Status, and Sentiment with RAG classification and risk flagging.

Extracts sentiment signals from Gmail and Calendar data to compute a client sentiment score (0-100). Activates when the user wants to analyze client sentiment, check communication tone, detect sentiment shifts, or asks 'how's my relationship with this client?' Classifies signals as positive/neutral/negative and feeds into the broader health scoring pipeline.

Generates social media content optimized for multi-platform engagement and formatting best practices. Activates when the user wants to write, draft, or create social content across LinkedIn, X/Twitter, Meta (FB+IG), or TikTok, or asks 'help me draft content about [topic].' Covers post structure, formatting rules, and engagement-driven writing patterns for all supported platforms.

Applies an authentic founder writing voice to social media content across all platforms. Activates when the user wants content that sounds like a real founder, needs style matching, or asks 'make this sound more like me.' Calibrates tone, sentence rhythm, and opinion strength for professional authenticity on LinkedIn, X/Twitter, Meta, and TikTok.

Crafts high-impact opening lines for social media content designed to stop the scroll across LinkedIn, X/Twitter, Meta (FB+IG), and TikTok. Activates when the user wants a stronger hook, better opening line, or asks 'how should I start this post?' Covers proven hook formulas, curiosity gaps, and pattern-interrupt techniques for all platforms.

Event observation system for the Adaptive Intelligence Engine. Defines event schema, observation conventions, and annotation templates that plugins use to emit structured events during execution.

Late.dev account management covering OAuth flows, account health checks, and profile management

Core Late.dev CLI conventions, authentication, error handling, and rate limiting for all social media operations

Late.dev media upload workflow with presigned URLs, validation, and platform-specific constraints

Late.dev publishing patterns for creating, scheduling, and cross-posting social media content

Late.dev read operations for checking post status, listing posts, and fetching analytics

Synthesizes sourced answers with inline citations from retrieved knowledge base documents. Activates when the user asks a question that should be answered from docs, wants cited answers, or asks 'what does our knowledge base say about [topic]?' Handles multi-source reconciliation, confidence rating, and graceful no-answer pathways.

Searches across Notion pages/databases and Google Drive to find relevant knowledge base documents. Activates when the user wants to search the knowledge base, find a document, look something up, or asks 'what do we have on [topic]?' Scores results by relevance and extracts content previews for downstream answer synthesis.

Crawls Notion and Google Drive to build a structured catalog of knowledge sources with classification and freshness tracking. Activates when the user wants to index the knowledge base, refresh the source catalog, scan for new documents, or asks 'update the knowledge base index.' Uses a 9-type taxonomy with metadata extraction.

Captures and stores learnings, insights, and observations in the Learning Log. Activates when the user wants to log something they learned, capture an insight, record an observation, or says 'I just realized [something]' — even if they don't explicitly say 'log a learning.' Handles categorization, tagging, and source attribution.

Searches and retrieves past learnings from the Learning Log by topic, category, or date. Activates when the user wants to find past insights, search their learning history, or asks 'what did I learn about [topic]?' Supports keyword search, category filtering, date ranges, and source-based browsing.

Synthesizes weekly learning summaries with theme detection, streak tracking, and trend analysis. Activates when the user wants a weekly learning review, insight trends, streak check, or asks 'what themes emerged from my learnings this week?' Covers pattern recognition, cross-learning connections, and growth metrics.

Processes meeting transcripts to extract summaries, decisions, follow-up commitments, and topic tags. Activates when the user wants to analyze a meeting, summarize a transcript, find what was decided, or pull action items from meeting notes — even a casual 'what happened in that meeting?' Runs four independent extraction pipelines on any transcript format.

Gathers and normalizes meeting transcripts from Fireflies, Otter, Gemini, Notion, or local files into a unified format. Activates when the user has a transcript to import, wants to pull meeting notes from a service, or provides a file to analyze. Auto-detects the source format and normalizes speaker labels, dates, and structure for downstream analysis.

Bidirectional sync between local memory store and [FOS] Memory Notion database. Reference this skill whenever pushing memories to Notion or pulling user changes back to the local SQLite store. Syncs .memory/memory.db only — for intelligence pattern sync see intelligence-notion-sync.

Gathers overnight data from Gmail, Calendar, Notion, Slack, and Drive into a consolidated morning update. Activates when the user wants a morning sync, overnight catch-up, or asks 'what happened while I was away?' Handles multi-source data gathering with overnight window calculation and graceful degradation when sources are unavailable.

Applies a consistent, opinionated founder writing voice to newsletter content. Activates when the user wants to write in founder voice, match their style, rewrite content to sound more authentic, or needs newsletter prose that reads like a real founder — not a marketer. Covers tone calibration, sentence rhythm, opinion injection, practical framing, and anti-patterns.

Assembles researched topics into structured, publishable newsletter drafts with Substack-compatible formatting. Activates when the user wants to write, draft, or outline a newsletter, format content for Substack, or asks 'turn this research into a newsletter.' Covers the four-part structure (Hook, Main Content, Takeaways, CTA), link attribution, and visual rhythm.

Performs multi-source web research to discover, score, and organize findings for newsletter content. Activates when the user wants to research a topic, find trending material, gather sources for a newsletter, or asks 'what's new in [topic]?' Searches across web, GitHub, Reddit, and blogs with recency scoring and deduplication.

Designs and creates Notion databases from natural language descriptions with typed properties. Activates when the user wants to build a database, design a schema, set up a tracker, deploy a template, or asks 'create a table in Notion for [thing].' Includes 5 pre-built business templates and smart property type inference.

Handles Notion workspace operations: page creation, database queries, content updates, and workspace search. Activates when the user wants to create, search, query, update, or browse anything in Notion — even casual 'find that page in Notion' or 'add this to my database.' Covers CLI tool usage, workspace discovery, and batch operations.