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Context Engine

CommunityPopular
alirezarezvani
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. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service.

Overview

Publisheralirezarezvani
Repositoryclaude-skills
Skill namecontext-engine
Stars
26.1K
Forks
3.7K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by alirezarezvani on GitHub. Read the source before you install it.

Installation

Install the Context Engine AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/c-level-advisor/skills/context-engine .claude/skills/context-engine
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Context Engine in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Context Engine on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Context Engine is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

ConditionConfidenceAction
< 30 days, full interviewHighUse directly
30–90 days, update doneMediumUse, flag what may have changed
> 90 daysLowFlag stale, prompt refresh
Key fields missingLowAsk in-session
No fileNonePrompt /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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Context Engine AI skill do?

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.

Why use Context Engine on TypingMind?

Because you install it once and use it with any model. Context Engine is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Context Engine in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/claude-skills/tree/main/c-level-advisor/skills/context-engine. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Context Engine?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Context Engine?

As many as you like. As long as a model supports skills, you can use Context Engine with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Context Engine AI skill free?

Yes. It is published on GitHub by alirezarezvani under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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