024 Context Mapping

Community

jabrena

024-context-mapping

Use when a problem under exploration needs its surrounding system context identified before design begins — Existing systems, Integrations, Ownership, and External dependencies. This should trigger when an issue's Context Mapping point of view needs evaluation, or when a maintainer directly asks to map the systems, integrations, owners, and external dependencies relevant to a problem. Part of Plinth Toolkit

Overview

Publisher	jabrena
Repository	`plinth`
Skill name	`024-context-mapping`
Stars	455
Forks	95
Bundled files	1
License	Apache-2.0
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 jabrena on GitHub. Read the source before you install it.

Installation

Install the 024 Context Mapping 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/jabrena/plinth/tree/main/skills/024-context-mapping
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/jabrena/plinth.git /tmp/plinth
mkdir -p .claude/skills
cp -r /tmp/plinth/skills/024-context-mapping .claude/skills/024-context-mapping

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

Use it in TypingMind

Enable 024 Context Mapping 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 024 Context Mapping 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 024 Context Mapping 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.

Context Mapping

Guide identification of Existing systems, Integrations, Ownership, and External dependencies relevant to a problem under exploration. This is an interactive SKILL.

What is covered in this Skill?

Identifying existing systems that already touch the problem area
Mapping integrations and data flows between those systems
Naming ownership: who operates, maintains, or is accountable for each system or integration
Identifying external dependencies (third-party services, other teams, contracts) outside the team's direct control
Feeding context-mapping findings into 025-quality-attribute-discovery and the remaining Functional Specification lenses

Constraints

Map the surrounding context before any design decision assumes a system boundary. When this technique is orchestrated by another workflow, the orchestrator owns clarifying-question sequencing; when applied standalone, ask directly.

MUST read references/024-context-mapping.md before applying Context Mapping guidance
MUST identify existing systems that already touch the problem area, not only the system expected to change
MUST identify integrations and data flows between the identified systems
MUST name an owner (team or role) for each identified system or integration when known
MUST identify external dependencies outside the team's direct control, such as third-party services, other teams, or contracts
MUST NOT invent a system, integration, owner, or external dependency when the available content is vague or ambiguous; flag the gap for a clarifying question instead

When to use this skill

Map the systems and integrations around this problem
Identify ownership for these systems
List the external dependencies for this issue
Apply context mapping before design begins
Draft the Context Mapping section of a Functional Specification

Workflow

Read the Reference

Read references/024-context-mapping.md, then review the problem frame for systems already implicated by the problem.

Identify Existing Systems

List existing systems that already touch the problem area, including systems that are affected but not expected to change.

Map Integrations

Identify integrations and data flows between the identified systems.

Name Ownership

Name an owning team or role for each identified system or integration when known.

Identify External Dependencies

Identify third-party services, other teams, or contracts outside the team's direct control that the problem or its resolution depends on.

Report the Context Map

Report Existing systems, Integrations, Ownership, and External dependencies, and flag any item left open pending a clarifying answer.

Reference

For detailed guidance, examples, and constraints, see references/024-context-mapping.md.

Bundled files

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

references/024-context-mapping.md6 KB

Frequently asked questions

What does the 024 Context Mapping AI skill do?

Why use 024 Context Mapping on TypingMind?

Because you install it once and use it with any model. 024 Context Mapping 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 024 Context Mapping in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jabrena/plinth/tree/main/skills/024-context-mapping. 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 024 Context Mapping?

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 024 Context Mapping?

As many as you like. As long as a model supports skills, you can use 024 Context Mapping with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 024 Context Mapping AI skill free?

Yes. It is published on GitHub by jabrena under the Apache-2.0 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

Context Mapping

Constraints

When to use this skill

Workflow

Reference

Bundled files

Frequently asked questions

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