Analyze Issue logo

Analyze Issue

OrganizationPopular
NeoLabHQ
analyze-issue

Analyze a GitHub issue and create a detailed technical specification

Overview

PublisherNeoLabHQ
Repositorycontext-engineering-kit
Skill nameanalyze-issue
Stars
1.7K
Forks
159
Bundled files
Instructions only
LicenseGPL-3.0
Links
Skill sourceRepositoryHomepage
  • 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 NeoLabHQ on GitHub. Read the source before you install it.

Installation

Install the Analyze Issue AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/NeoLabHQ/context-engineering-kit.git /tmp/context-engineering-kit
mkdir -p .claude/skills
cp -r /tmp/context-engineering-kit/antigravity/skills/analyze-issue .claude/skills/analyze-issue
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyze Issue 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 Analyze Issue 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 Analyze Issue 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.

Please analyze GitHub issue #$ARGUMENTS and create a technical specification.

Follow these steps:

  1. Check if the issue is already loaded:

    • Look for the issue file in ./specs/issues/ folder
    • File naming pattern: <number-padded-to-3-digits>-<kebab-case-title>.md
    • If not found, fetch the issue details from GitHub (see step 2)

  2. Fetch the issue details (if not already loaded):

    • Read .claude/commands/load-issues.md to understand how to fetch issue details
    • Save the issue file following the load-issues.md format

  3. Understand the requirements thoroughly

  4. Review related code and project structure

  5. Create a technical specification with the format below

Technical Specification for Issue #$ARGUMENTS

Issue Summary

  • Title: [Issue title from GitHub]
  • Description: [Brief description from issue]
  • Labels: [Labels from issue]
  • Priority: [High/Medium/Low based on issue content]

Problem Statement

[1-2 paragraphs explaining the problem]

Technical Approach

[Detailed technical approach]

Implementation Plan

  1. [Step 1]
  2. [Step 2]
  3. [Step 3]

Test Plan

  1. Unit Tests:
    • [test scenario]
  2. Component Tests:
    • [test scenario]
  3. Integration Tests:
    • [test scenario]

Files to Modify

Files to Create

Existing Utilities to Leverage

Success Criteria

  • [criterion 1]
  • [criterion 2]

Out of Scope

  • [item 1]
  • [item 2]

Remember to follow our strict TDD principles, KISS approach, and 300-line file limit.

IMPORTANT: After completing your analysis, SAVE the full technical specification to: ./specs/issues/<number-padded-to-3-digits>-<kebab-case-title>.specs.md

For example, for issue #7 with title "Make code review trigger on any *.SQL and .sh file changes", save to: ./specs/issues/007-make-code-review-trigger-on-sql-sh-changes.specs.md

After saving, provide a brief summary to the user confirming:

  • Issue number and title analyzed
  • File path where the specification was saved
  • Key highlights from the specification (2-3 bullet points)

Frequently asked questions

What does the Analyze Issue AI skill do?

Analyze a GitHub issue and create a detailed technical specification

Why use Analyze Issue on TypingMind?

Because you install it once and use it with any model. Analyze Issue 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 Analyze Issue in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NeoLabHQ/context-engineering-kit/tree/master/antigravity/skills/analyze-issue. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Analyze Issue?

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 Analyze Issue?

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

Is the Analyze Issue AI skill free?

Yes. It is published on GitHub by NeoLabHQ under the GPL-3.0 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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