Speq Cli

Community

marconae

speq-cli

Queries specs via the speq CLI: list and read features, validate structure, run the absence check. Invoke first for any spec discovery or validation.

Overview

Publisher	marconae
Repository	`speq-skill`
Skill name	`speq-cli`
Stars	54
Forks	10
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 marconae on GitHub. Read the source before you install it.

Installation

Install the Speq Cli 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/marconae/speq-skill/tree/main/.claude/skills/speq-cli
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/marconae/speq-skill.git /tmp/speq-skill
mkdir -p .claude/skills
cp -r /tmp/speq-skill/.claude/skills/speq-cli .claude/skills/speq-cli

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

Use it in TypingMind

Enable Speq Cli 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 Speq Cli 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 Speq Cli 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.

speq CLI

The CLI is installed locally and on the path. Invoke via speq.

Reading Specs

Find a spec by listing the features with speq feature list, then read the relevant ones with speq feature get.
Read a feature with speq feature get <domain>/<feature>. It prints the description, the Background, and the scenarios.
Read the spec file directly only when exact text matters, and only the lines you need (Read with offset and limit). speq feature get does not print nested list items under a step or fenced code blocks inside a scenario.
Find before you read: speq feature get '<domain>/<feature>/<scenario>' for one scenario. Never cat a whole spec.

Command Reference

Command	Purpose
`speq domain list`	List all domains
`speq feature list`	Tree view of all features
`speq feature list <domain>`	Features in a domain
`speq feature get <domain>/<feature>`	Full feature spec
`speq feature get '<domain>/<feature>/<scenario>'`	Single scenario
`speq decision-log show`	Show every accepted ADR (large in a mature repo; prefer the ADR digest below)
`speq decision-log validate`	Validate the ADR fragments
`speq feature validate`	Validate all specs
`speq feature validate <domain>/<feature>`	Validate single feature
`speq plan list`	List active plans
`speq plan validate <plan>`	Validate a plan
`speq record <plan>`	Merge a validated plan into the permanent specs

Single-quote a scenario path. In double quotes, the shell runs the text between backticks as a command.

Absence Check

Before you state that no spec or decision covers a topic, run all three steps:

List the features with speq feature list. Note each feature whose name relates to the topic or a synonym of it.
Read those candidate features or their scenarios with speq feature get.
Check the ADR digest (next section). Read only the fragments that match the topic.

Report absence only when all three steps find nothing. Name the features, scenarios, and ADRs you checked in the claim.

ADR Digest

Do not dump the whole decision log. List the accepted ADRs once per run:

bash
grep -rhE -A3 '^## ADR:|^\*\*(ID|Status):\*\*' specs/_decision/ 2>/dev/null || echo none

It prints each ADR's title, ID, status, and Decision line. Read a full fragment only when its title or a term grep matches the topic. Run speq decision-log show at most once per run, and never pipe it through repeated sed or grep passes.

Frequently asked questions

What does the Speq Cli AI skill do?

Queries specs via the speq CLI: list and read features, validate structure, run the absence check. Invoke first for any spec discovery or validation.

Why use Speq Cli on TypingMind?

Because you install it once and use it with any model. Speq Cli 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 Speq Cli in TypingMind?

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

Which AI models can use Speq Cli?

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 Speq Cli?

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

Is the Speq Cli AI skill free?

Yes. It is published on GitHub by marconae 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

speq CLI

Reading Specs

Command Reference

Absence Check

ADR Digest

Frequently asked questions

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