Agent Context

Community

dev-ik

agent-context

Retrieve concise, graph-backed design context from AI Design Context with the local CLI. Use before implementing or reviewing a user-facing flow, reference fixture, prompt output, or known knowledge object when an agent needs relevant research, rules, patterns, checklists, and evidence limits without reading every index.

Overview

Publisher	dev-ik
Repository	`ai-design-rules`
Skill name	`agent-context`
Stars	3
Forks	0
Bundled files	1
License	MIT
Links	Skill source Repository Homepage

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 dev-ik on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/dev-ik/ai-design-rules/tree/main/skills/agent-context
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.

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/dev-ik/ai-design-rules.git /tmp/ai-design-rules
mkdir -p .claude/skills
cp -r /tmp/ai-design-rules/skills/agent-context .claude/skills/agent-context

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Context 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 Agent Context 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 Agent Context 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.

Agent Context

Run this skill before a user-facing implementation or review when the applicable knowledge is not already explicit.

Workflow

In a product repository with the npm package installed, verify npx --no-install ai-design-context context --help. In the knowledge-source checkout, use npm run context -- --help.

Resolve the task, review target, or stable object:

bash
npm run context -- --task quick-capture --platform mobile --intent implement --format json
npm run context -- --review examples/todo-reference --intent qa
npm run context -- --object PAT-00002 --format json

For the installed npm package, replace npm run context -- with npx --no-install ai-design-context context in these examples. Markdown provides absolute reading paths; JSON adds absolutePath while retaining relative graph path.

Read the selected files before proposing product guidance or code.
Apply only the returned rules and patterns that fit the task.
Preserve every returned evidence boundary; draft and seed do not justify broad product claims.
If the resolver returns no match, create an observation or research need rather than inventing a rule.
Inspect each object's selection reason. Required dependencies are complete, while optional links in broad review gates must be followed explicitly when the review needs them.

Boundaries

The CLI is read-only and does not replace npm run check.
--platform adds relevant context; it does not prove that a pattern applies.
Use --format json for another agent or script; errors are machine-readable on stderr.
Task matching is lexical. Simple English task wrappers are supported; arbitrary paraphrases and translation are not. Prefer an exact known slug or ID when available.

Bundled files

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

agents/openai.yaml1 KB

Frequently asked questions

What does the Agent Context AI skill do?

Why use Agent Context on TypingMind?

Because you install it once and use it with any model. Agent Context 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 Agent Context in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dev-ik/ai-design-rules/tree/main/skills/agent-context. 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 Agent Context?

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 Agent Context?

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

Is the Agent Context AI skill free?

Yes. It is published on GitHub by dev-ik 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agent Context

Workflow

Boundaries

Bundled files

Frequently asked questions

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