Speckit Adr Context

Organization

dotCMS

speckit-adr-context

Consult dotCMS/platform-adrs for Architecture Decision Records relevant to the current feature/fix, so planning treats existing decisions as binding input. Runs as a before_plan hook.

Overview

Publisher	dotCMS
Repository	`core`
Skill name	`speckit-adr-context`
Stars	971
Forks	487
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by dotCMS on GitHub. Read the source before you install it.

Installation

Install the Speckit Adr 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/dotCMS/core/tree/main/.claude/skills/speckit-adr-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/dotCMS/core.git /tmp/core
mkdir -p .claude/skills
cp -r /tmp/core/.claude/skills/speckit-adr-context .claude/skills/speckit-adr-context

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

Use it in TypingMind

Enable Speckit Adr 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 Speckit Adr 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 Speckit Adr 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.

User Input

text
$ARGUMENTS

Purpose

ADRs are binding architectural context for dotCMS and live only in the private repo dotCMS/platform-adrs. This skill surfaces the ADRs relevant to the work being planned so they are used as input to the plan. It is invoked automatically as a before_plan hook (see .specify/extensions.yml) and can also be run manually.

This skill is read-only. It NEVER creates, edits, or commits an ADR. ADRs are authored only in dotCMS/platform-adrs via its own new-adr.sh process. Spec-Kit may only propose an ADR (recorded in the plan's "Proposed ADRs" section).

Steps

Derive keywords. Use $ARGUMENTS if provided. Otherwise read the current feature spec (from .specify/feature.json → feature_directory → spec.md) and extract keywords: affected subsystem, technologies, data stores (e.g. search, elasticsearch, workflow, content-drive, rest, permissions), and whether it touches legacy com.dotmarketing.*.
Run the lookup (read-only; always exits 0):
```
bash
.specify/scripts/bash/adr-context.sh <keyword> <keyword> ...
```
If it reports a network/permission problem, tell the user to check gh auth status and review dotCMS/platform-adrs/INDEX.md manually — then continue (do not block planning).

For each promising match, optionally read the ADR body for detail:

bash
gh api repos/dotCMS/platform-adrs/contents/decisions/<file>.md -q .content | base64 -d

Pay attention to status: treat accepted ADRs as binding; note proposed ones as directional.

Summarize for the plan. Emit a short list the /speckit-plan step will fold into the plan's ADR Alignment (Gate) section:
- Relevant ADRs (id, title, status, link, one-line relevance).
- Any likely conflict with an accepted ADR (must be resolved in the plan).
- Candidate proposals if the work implies a new decision — as proposals only.
Reminder to the planner: fill the plan's ADR Alignment section from this output. Do not create any ADR. New decisions are proposed, then authored separately in dotCMS/platform-adrs.

Frequently asked questions

What does the Speckit Adr Context AI skill do?

Consult dotCMS/platform-adrs for Architecture Decision Records relevant to the current feature/fix, so planning treats existing decisions as binding input. Runs as a before_plan hook.

Why use Speckit Adr Context on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotCMS/core/tree/main/.claude/skills/speckit-adr-context. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Speckit Adr 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 Speckit Adr Context?

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

Is the Speckit Adr Context AI skill free?

It is published on GitHub by dotCMS. Check the repository for licensing terms. 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

User Input

Purpose

Steps

Frequently asked questions

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