context-engine
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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install alirezarezvani-claude-skills-context-engine
Repository
Skill path: .gemini/skills/context-engine
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.
Open repositoryBest for
Primary workflow: Run DevOps.
Technical facets: Full Stack, Backend, Security.
Target audience: everyone.
License: MIT.
Original source
Catalog source: SkillHub Club.
Repository owner: alirezarezvani.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install context-engine into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/alirezarezvani/claude-skills before adding context-engine to shared team environments
- Use context-engine for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
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."
license: MIT
metadata:
version: 1.0.0
author: Alireza Rezvani
category: c-level
domain: orchestration
updated: 2026-03-05
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:**
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.
---
## 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