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Bug Fix Brief

Community
giuseppe-trisciuoglio
bug-fix-brief

Generates a structured Bug Fix Brief (BFB) to document issue corrections. Includes root cause analysis, repro steps, fix options, and fix checklist. Use when user asks to create a BFB, document a bug fix, or generate a bug correction document.

Overview

Publishergiuseppe-trisciuoglio
Repositorydeveloper-kit
Skill namebug-fix-brief
Stars
345
Forks
41
Bundled files
Instructions only
LicenseMIT
Links
  • 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 giuseppe-trisciuoglio on GitHub. Read the source before you install it.

Installation

Install the Bug Fix Brief 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/giuseppe-trisciuoglio/developer-kit.git /tmp/developer-kit
mkdir -p .claude/skills
cp -r /tmp/developer-kit/plugins/developer-kit-core/skills/bug-fix-brief .claude/skills/bug-fix-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bug Fix Brief 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 Bug Fix Brief 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 Bug Fix Brief 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.

Bug Fix Brief (BFB)

Overview

This skill generates a Bug Fix Brief (BFB): a structured document in docs/bfb/ that uniformly captures every bug fix with root cause, repro steps, fix options, and checklist.

When to Use

  • User asks to create a BFB
  • User wants to document a bug fix in a structured way
  • After identifying the root cause of a bug and before implementing the fix

Trigger: "create BFB", "document bug", "bug fix brief", "document fix"

Instructions

Phase 1: Gather Information

Check existing numbering:

bash
ls docs/bfb/ 2>/dev/null || echo "Directory does not exist"

Ask the user for:

  • BFB number (or propose next sequential)
  • Concise title (3-5 words, kebab-case)
  • Issue link (e.g. #1287)
  • Environment (Prod/Stg/Dev) + version
  • Observed vs expected behavior
  • File/function/line of the cause

Phase 2: Generate Template

Complete the full BFB template:

markdown
## BFB-XXX: [Title]

**Reference:** [Issue link]
**Environment:** [Env] `vX.Y.Z`
**Date:** YYYY-MM-DD

---

### 1. Bug
- **Observed:** [wrong behavior]
- **Expected:** [correct behavior]

### 2. Repro
  1. ...
  2. ... → [error/output]

### 3. Cause
`path/file.ext` — `function()` @ line N
[Why it happens, max 3 lines]

### 4. Decision
| Option | Fix | Choice |
|--------|-----|--------|
| A | [desc] | ✅/❌ |
| B | [desc] | ✅/❌ |

**Rationale:** [why]

### 5. Fix
- [ ] [change 1]
- [ ] [test]
- [ ] [verify repro]

### 6. Notes
[recurring patterns, links, warnings]

Phase 3: Ask Confirmation

Show the generated BFB and ask with AskUserQuestion:

  • "Create the BFB"
  • "Edit before creating"
  • "Cancel"

Phase 4: Write to Disk

Only after approval:

bash
mkdir -p docs/bfb

Write to docs/bfb/BFB-XXX-title.md

Examples

Input: "create BFB for login email null crash"

Final output:

markdown
## BFB-042: Login crash with null email

**Reference:** #1287
**Environment:** Prod `v2.4.1`
**Date:** 2026-05-02

---

### 1. Bug
- **Observed:** App crashes if email field is empty
- **Expected:** Error message "Email required"

### 2. Repro
  1. Open login screen
  2. Tap "Login" without entering email → NullPointerException @ AuthManager.kt:34

### 3. Cause
`AuthManager.kt` — `validateEmail()` @ line 34
Missing null check on email.trim()

### 4. Decision
| Option | Fix | Choice |
|--------|-----|--------|
| A | Add safe call `?.` | ✅ |
| B | Refactor with Result type | ❌ |

**Rationale:** Option A is minimal, zero impact.

### 5. Fix
- [ ] Add `email?.trim()?.isNotEmpty() == true`
- [ ] Test `validateEmail_null_returnsFalse()`
- [ ] Verify repro

### 6. Notes
- Check other forms for missing null checks

Best Practices

  1. Sequential numbering: BFB-001, BFB-002, no gaps
  2. Concise title: 3-5 words, kebab-case in filename
  3. Root cause: exact file, function, line
  4. 2+ fix options: with pros/cons and rationale
  5. Verifiable checklist: each item must be testable

Constraints and Warnings

  • Confirmation required: Always ask before writing
  • Max 3 lines for cause: Stay concise
  • Directory docs/bfb/: Create if it does not exist

Frequently asked questions

What does the Bug Fix Brief AI skill do?

Generates a structured Bug Fix Brief (BFB) to document issue corrections. Includes root cause analysis, repro steps, fix options, and fix checklist. Use when user asks to create a BFB, document a bug fix, or generate a bug correction document.

Why use Bug Fix Brief on TypingMind?

Because you install it once and use it with any model. Bug Fix Brief 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 Bug Fix Brief in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/giuseppe-trisciuoglio/developer-kit/tree/main/plugins/developer-kit-core/skills/bug-fix-brief. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bug Fix Brief?

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 Bug Fix Brief?

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

Is the Bug Fix Brief AI skill free?

Yes. It is published on GitHub by giuseppe-trisciuoglio 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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