Adr Indexer

Community

harumiWeb

adr-indexer

Maintain ExStruct ADR index artifacts by scanning ADR files and synchronizing README, index.yaml, and decision-map.md metadata. Use when ADRs are added, updated, superseded, or reclassified and the repository needs a refreshed ADR map for humans and AI agents.

Overview

Publisher	harumiWeb
Repository	`exstruct`
Skill name	`adr-indexer`
Stars	204
Forks	31
Bundled files	1
License	BSD-3-Clause
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 harumiWeb on GitHub. Read the source before you install it.

Installation

Install the Adr Indexer 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/harumiWeb/exstruct/tree/main/.agents/skills/adr-indexer
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/harumiWeb/exstruct.git /tmp/exstruct
mkdir -p .claude/skills
cp -r /tmp/exstruct/.agents/skills/adr-indexer .claude/skills/adr-indexer

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

Use it in TypingMind

Enable Adr Indexer 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 Adr Indexer 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 Adr Indexer 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.

ADR Indexer

Refresh the derived ADR map after the source ADRs change.

Read

dev-docs/agents/adr-governance.md
dev-docs/agents/adr-workflow.md
dev-docs/specs/adr-index.md
All ADR files under dev-docs/adr/
Existing dev-docs/adr/README.md, dev-docs/adr/index.yaml, dev-docs/adr/decision-map.md

Workflow

Scan the ADR files and collect normalized metadata:
- id
- title
- status
- primary_domain
- domains
- supersedes
- superseded_by
- related_specs
Compare the normalized metadata with README.md, index.yaml, and decision-map.md.
Update the derived artifacts so that status, primary domain, domain grouping, and supersede relationships match the ADR source files.
Report any ambiguity that cannot be derived from the ADR text alone.

Output Contract

Return a concise summary with:

updated artifacts
added or changed ADR entries
consistency findings

Treat ADR-xxxx-*.md as the source of truth. Do not invent domains, statuses, or supersede links that the ADR text cannot justify.

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 Adr Indexer AI skill do?

Why use Adr Indexer on TypingMind?

Because you install it once and use it with any model. Adr Indexer 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 Adr Indexer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/harumiWeb/exstruct/tree/main/.agents/skills/adr-indexer. 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 Adr Indexer?

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 Adr Indexer?

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

Is the Adr Indexer AI skill free?

Yes. It is published on GitHub by harumiWeb under the BSD-3-Clause 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

ADR Indexer

Read

Workflow

Output Contract

Bundled files

Frequently asked questions

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