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Binlog Generation

OrganizationPopular
dotnet
binlog-generation

Generate MSBuild binary logs (binlogs) for build diagnostics and analysis. USE FOR: adding /bl:{} to any dotnet build, test, pack, publish, or restore command to capture a full build execution trace, prerequisite for binlog-failure-analysis and build-perf-diagnostics skills, enabling post-build investigation of errors or performance. Requires MSBuild 17.8+ / .NET 8 SDK+ for {} placeholder; PowerShell needs -bl:{{}}. DO NOT USE FOR: non-MSBuild build systems (npm, Maven, CMake), analyzing an existing binlog (use binlog-failure-analysis instead).

Overview

Publisherdotnet
Repositoryskills
Skill namebinlog-generation
Stars
5.4K
Forks
416
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 dotnet on GitHub. Read the source before you install it.

Installation

Install the Binlog Generation 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/dotnet/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/dotnet-msbuild/skills/binlog-generation .claude/skills/binlog-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Binlog Generation 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 Binlog Generation 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 Binlog Generation 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.

Generate Binary Logs

Pass the /bl switch when running any MSBuild-based command. This is a non-negotiable requirement for all .NET builds.

Commands That Require /bl

You MUST add the /bl:{} flag to:

  • dotnet build
  • dotnet test
  • dotnet pack
  • dotnet publish
  • dotnet restore
  • msbuild or msbuild.exe
  • Any other command that invokes MSBuild

Preferred: Use {} for Automatic Unique Names

Note: The {} placeholder requires MSBuild 17.8+ / .NET 8 SDK or later.

The {} placeholder in the binlog filename is replaced by MSBuild with a unique identifier, guaranteeing no two builds ever overwrite each other — without needing to track or check existing files.

bash
# Every invocation produces a distinct file automatically
dotnet build /bl:{}
dotnet test /bl:{}
dotnet build --configuration Release /bl:{}

PowerShell requires escaping the braces:

powershell
# PowerShell: escape { } as {{ }}
dotnet build -bl:{{}}
dotnet test -bl:{{}}

Why This Matters

  1. Unique names prevent overwrites - You can always go back and analyze previous builds
  2. Failure analysis - When a build fails, the binlog is already there for immediate analysis
  3. Comparison - You can compare builds before and after changes
  4. No re-running builds - You never need to re-run a failed build just to generate a binlog

Examples

bash
# ✅ CORRECT - {} generates a unique name automatically (bash/cmd)
dotnet build /bl:{}
dotnet test /bl:{}

# ✅ CORRECT - PowerShell escaping
dotnet build -bl:{{}}
dotnet test -bl:{{}}

# ❌ WRONG - Missing /bl flag entirely
dotnet build
dotnet test

# ❌ WRONG - No filename (overwrites the same msbuild.binlog every time)
dotnet build /bl
dotnet build /bl

One build = one binlog

Add /bl:{} to every MSBuild invocation separately — never reuse a name and never rely on bare /bl:

  • Building several configurations, projects, or retrying a failed build? Each command still gets its own /bl:{} so the logs never overwrite each other.
bash
dotnet build -c Debug   /bl:{}   # unique file
dotnet build -c Release /bl:{}   # another unique file

Verify the binlog exists

After the build, confirm a .binlog was actually produced before moving on to analysis — a build that fails before MSBuild starts (e.g. a bad argument) writes no binlog:

bash
ls -1 *.binlog       # bash
dir /b *.binlog      # Windows cmd
powershell
Get-ChildItem *.binlog   # PowerShell

Note the resulting path so binlog-failure-analysis or build-perf-diagnostics can consume it.

When a Specific Filename Is Required

If the binlog filename needs to be known upfront (e.g., for CI artifact upload), or if {} is not available in the installed MSBuild version, pick a name that won't collide with existing files:

  1. Check for existing *.binlog files in the directory
  2. Choose a name not already taken (e.g., by incrementing a counter from the highest existing number)
bash
# Example: directory contains 3.binlog — use 4.binlog
dotnet build /bl:4.binlog

Cleaning the Repository

When cleaning the repository with git clean, always exclude binlog files to preserve your build history:

bash
# ✅ CORRECT - Exclude binlog files from cleaning
git clean -fdx -e "*.binlog"

# ❌ WRONG - This deletes binlog files (they're usually in .gitignore)
git clean -fdx

This is especially important when iterating on build fixes - you need the binlogs to analyze what changed between builds.

Frequently asked questions

What does the Binlog Generation AI skill do?

Generate MSBuild binary logs (binlogs) for build diagnostics and analysis. USE FOR: adding /bl:{} to any dotnet build, test, pack, publish, or restore command to capture a full build execution trace, prerequisite for binlog-failure-analysis and build-perf-diagnostics skills, enabling post-build investigation of errors or performance. Requires MSBuild 17.8+ / .NET 8 SDK+ for {} placeholder; PowerShell needs -bl:{{}}. DO NOT USE FOR: non-MSBuild build systems (npm, Maven, CMake), analyzing an existing binlog (use binlog-failure-analysis instead).

Why use Binlog Generation on TypingMind?

Because you install it once and use it with any model. Binlog Generation 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 Binlog Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dotnet/skills/tree/main/plugins/dotnet-msbuild/skills/binlog-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Binlog Generation?

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 Binlog Generation?

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

Is the Binlog Generation AI skill free?

Yes. It is published on GitHub by dotnet 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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