Search

PythonReactSEOPDF
OpenClaw

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.

alirezarezvani0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install alirezarezvani/context-engine

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/alirezarezvani/context-engine
Version
—
Commit
94ae3f1a31bc12955e7382db39f54d3cda3c6a5c
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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...

Related skills

OpenClaw

13-Day Sprint Method

galizki

Productivity system based on Maya calendar with 13 natural tones for project management and personal development

OpenClaw

1password

daggerkun007

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.