context-engine – Data & Science skill for AI agents

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

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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-onboard 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-onboard 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

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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-onboard setup |

If Low: *"My context is [stale/incomplete] — I'm assuming [X]. Correct me if I'm wrong."*

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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:

1. Note internally: [CONTEXT UPDATE: {what was learned}]

2. At session end: *"I picked up a few things to add to your context. Want me to update the file?"*

3. If yes: append to the relevant dimension, update timestamp.

Never silently overwrite. Always confirm before modifying the context file.

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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"

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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.

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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.

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References

• references/anonymization-protocol.md — detailed rules for stripping sensitive data before external calls