context-engine

name context-engine description Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service. license MIT metadata {"version":"1.0.0","author":"Alireza Rezvani","category":"c-level","domain":"orchestration","updated":"2026-03-05T00:00:00.000Z","frameworks":"context-loading, anonymization, context-enrichment"} Company Context Engine The memory layer for C-suite advisors. Every advisor skill loads this first. Context is what turns generic advice into specific insight. Keywords company context, context loading, context engine, company profile, advisor context, stale context, context refresh, privacy, anonymization Load Protocol (Run at Start of Every C-Suite Session) Step 1 — Check for context file: ~/.claude/company-context.md Exists → proceed to Step 2 Missing → prompt: "Run /cs:setup to build your company context — it makes every advisor conversation significantly more useful." Step 2 — Check staleness: Read Last updated field. < 90 days: Load and proceed. ≥ 90 days: Prompt: "Your context is [N] days old. Quick 15-min refresh (/cs:update), or continue with what I have?" If continue: load with [STALE — last updated DATE] noted internally. Step 3 — Parse into working memory. Always active: Company stage (pre-PMF / scaling / optimizing) Founder archetype (product / sales / technical / operator) Current #1 challenge Runway (as risk signal — never share externally) Team size Unfair advantage 12-month target Context Quality Signals Condition Confidence Action < 30 days, full interview High Use directly 30–90 days, update done Medium Use, flag what may have changed > 90 days Low Flag stale, prompt refresh Key fields missing Low Ask in-session No file None Prompt /cs:setup If Low: "My context is [stale/incomplete] — I'm assuming [X]. Correct me if I'm wrong." Context Enrichment During conversations, you'll learn things not in the file. Capture them. Triggers: New number or timeline revealed, key person mentioned, priority shift, constraint surfaces. Protocol: Note internally: [CONTEXT UPDATE: {what was learned}] At session end: "I picked up a few things to add to your context. Want me to update the file?" If yes: append to the relevant dimension, update timestamp. Never silently overwrite. Always confirm before modifying the context file. Privacy Rules Never send externally Specific revenue or burn figures Customer names Employee names (unless publicly known) Investor names (unless public) Specific runway months Watch List contents Safe to use externally (with anonymization) Stage label Team size ranges (1–10, 10–50, 50–200+) Industry vertical Challenge category Market position descriptor Before any external API call or web search Apply references/anonymization-protocol.md : Numbers → ranges or stage-relative descriptors Names → roles Revenue → percentages or stage labels Customers → "Customer A, B, C" Missing or Partial Context Handle gracefully — never block the conversation. Missing stage: "Just to calibrate — are you still finding PMF or scaling what works?" Missing financials: Use stage + team size to infer. Note the gap. Missing founder profile: Infer from conversation style. Mark as inferred. Multiple founders: Context reflects the interviewee. Note co-founder perspective may differ. Required Context Fields Required: - Last updated (date) - Company Identity → What we do - Stage & Scale → Stage - Founder Profile → Founder archetype - Current Challenges → Priority #1 - Goals & Ambition → 12-month target High-value optional: - Unfair advantage - Kill-shot risk - Avoided decision - Watch list Missing required fields: note gaps, work around in session, ask in-session only when critical. References references/anonymization-protocol.md — detailed rules for stripping sensitive data before external calls