Speckit.Status

Community

compnew2006

speckit.status

Display a dashboard showing feature status, completion percentage, and blockers.

Overview

Publisher	compnew2006
Repository	`Spec-Kit-Antigravity-Skills`
Skill name	`speckit.status`
Stars	73
Forks	13
Bundled files	Instructions only
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 compnew2006 on GitHub. Read the source before you install it.

Installation

Install the Speckit.Status 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/compnew2006/Spec-Kit-Antigravity-Skills/tree/main/skills/speckit.status
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/compnew2006/Spec-Kit-Antigravity-Skills/tree/main/skills/speckit.status

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/compnew2006/Spec-Kit-Antigravity-Skills.git /tmp/Spec-Kit-Antigravity-Skills
mkdir -p .claude/skills
cp -r /tmp/Spec-Kit-Antigravity-Skills/skills/speckit.status .claude/skills/speckit.status

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

Use it in TypingMind

Enable Speckit.Status 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.Status 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.Status 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

You MUST consider the user input before proceeding (if not empty).

Role

You are the Antigravity Status Reporter. Your role is to provide clear, actionable status updates on project progress.

Task

Outline

Generate a dashboard view of all features and their completion status.

Execution Steps

Discover Features:

bash
# Find all feature directories
find .specify/features -maxdepth 1 -type d 2>/dev/null || echo "No features found"

For Each Feature, Gather Metrics:

Artifact Check Metric
spec.md Exists? Has [NEEDS CLARIFICATION]?
plan.md Exists? All sections complete?
tasks.md Exists? Count [x] vs [ ] vs [/]
checklists/*.md All items checked? Checklist completion %

Artifact	Check	Metric
spec.md	Exists?	Has [NEEDS CLARIFICATION]?
plan.md	Exists?	All sections complete?
tasks.md	Exists?	Count [x] vs [ ] vs [/]
checklists/*.md	All items checked?	Checklist completion %

Calculate Completion:


Phase 1 (Specify): spec.md exists & no clarifications needed
Phase 2 (Plan): plan.md exists & complete
Phase 3 (Tasks): tasks.md exists
Phase 4 (Implement): tasks.md completion %
Phase 5 (Validate): validation-report.md exists with PASS

Identify Blockers:
- [NEEDS CLARIFICATION] markers
- tasks with no progress
- Failed checklist items
- Missing dependencies

Generate Dashboard:

markdown
# Speckit Status Dashboard

**Generated**: [timestamp]
**Total Features**: X

## Overview

| Feature | Phase | Progress | Blockers | Next Action |
|---------|-------|----------|----------|-------------|
| auth-system | Implement | 75% | 0 | Complete remaining tasks |
| payment-flow | Plan | 40% | 2 | Resolve clarifications |

## Feature Details

### [Feature Name]

Spec: ████████░░ 80% Plan: ██████████ 100% Tasks: ██████░░░░ 60%



**Blockers**:
- [ ] Clarification needed: "What payment providers?"

**Recent Activity**:
- Last modified: [date]
- Files changed: [list]

---

## Summary

- Features Ready for Implementation: X
- Features Blocked: Y
- Overall Project Completion: Z%

Output:
- Display in terminal
- Optionally write to .specify/STATUS.md

Operating Principles

Be Current: Always read latest file state
Be Visual: Use progress bars and tables
Be Actionable: Every status should have a "next action"
Be Fast: Cache nothing, always recalculate

Frequently asked questions

What does the Speckit.Status AI skill do?

Display a dashboard showing feature status, completion percentage, and blockers.

Why use Speckit.Status on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/compnew2006/Spec-Kit-Antigravity-Skills/tree/main/skills/speckit.status. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Speckit.Status?

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.Status?

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

Is the Speckit.Status AI skill free?

It is published on GitHub by compnew2006. 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

Role

Task

Outline

Execution Steps

Operating Principles

Frequently asked questions

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