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Go Binary Size

Community
eduardo-sl
go-binary-size

Reduce the size of compiled Go binaries and container images: linker flags, inlining budget, CGO and build tags, embedded assets, dependency weight, and measuring what actually costs bytes. Use when a binary or image is too large, when shrinking a CLI for distribution, or when auditing what a dependency adds to the build. Trigger examples: "binary is too big", "shrink the binary", "reduce image size", "strip symbols", "what is making my binary large", "ldflags -s -w". Not for: runtime speed and allocations (go-performance-review), CI setup (go-ci), release pipelines and signing (go-build-release), dependency CVEs (go-dependency-audit).

Overview

Publishereduardo-sl
Repositorygo-agent-skills
Skill namego-binary-size
Stars
86
Forks
11
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 eduardo-sl on GitHub. Read the source before you install it.

Installation

Install the Go Binary Size 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.
    https://github.com/eduardo-sl/go-agent-skills/tree/main/skills/(workflow)/go-binary-size
  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.

Use it in TypingMind

Enable Go Binary Size 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 Go Binary Size 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 Go Binary Size 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.

Go Binary Size

A stock Go binary carries the runtime, the garbage collector, full symbol and line tables, and every transitively reachable package. 8-15 MiB for a small CLI is normal. Most of it is removable, but only with measurement — guessing which dependency is heavy is almost always wrong.

Procedure

Never apply a flag without a before and after number.

  1. Build a baseline and record its size.
  2. Find where the bytes are.
  3. Apply one change class at a time, measuring after each.
  4. Verify the binary still runs and its tests still pass.
  5. Report the table of change → bytes saved → cost.

1. Measure First

bash
# Baseline, reproducible
CGO_ENABLED=1 go build -trimpath -o /tmp/base ./cmd/app
ls -l /tmp/base

# Which packages and symbols cost the most
go tool nm -size -sort size /tmp/base | head -40

# Package-level attribution (third-party, more readable)
go install github.com/Zxilly/go-size-analyzer/cmd/gsa@latest
gsa --web /tmp/base

go version -m /tmp/app prints the module list and build settings baked into the binary — useful to confirm which flags a release actually used.

Also measure compressed size when the artifact ships in a container layer or a release archive. Stripping wins less after gzip; removing a dependency wins more.

bash
gzip -c /tmp/base | wc -c

2. Strip Symbols and DWARF — the largest single win

bash
go build -ldflags="-s -w" -trimpath -o /tmp/stripped ./cmd/app

Typically 25-35% off the raw size.

What this costs, precisely:

  • ✅ Panic messages and goroutine stack traces still work. The runtime uses its own pclntab, which -s -w does not remove.
  • ❌ dlv and gdb can no longer resolve source lines. Do not ship stripped binaries to an environment where you plan to attach a debugger.
  • ⚠️ Some profiling and crash-reporting tools that symbolise externally will degrade. net/http/pprof in-process is unaffected.

Keep an unstripped copy of every release build for post-mortem work.

Add -buildvcs=false when the VCS stamp is not needed. It saves little, but it also removes commit metadata from a distributed artifact.

3. Disable Inlining — measure the trade

bash
go build -ldflags="-s -w" -gcflags=all=-l -o /tmp/noinline ./cmd/app

Another 5-10 percentage points. It costs runtime performance on hot paths. Acceptable for a CLI that starts, does one thing, and exits. Not acceptable for a latency-sensitive server without benchmarking the regression first.

4. CGO and the Runtime

bash
CGO_ENABLED=0 go build -tags netgo,osusergo -ldflags="-s -w" -o /tmp/pure ./cmd/app

These three go together: disabling cgo without netgo,osusergo leaves the build depending on the C resolver stubs.

Check before assuming it helps:

  • go list -deps ./... | xargs go list -f '{{.ImportPath}} {{.CgoFiles}}' shows which packages actually use cgo.
  • Disabling cgo can increase size when the pure-Go replacement of a C binding is larger. Measure both.
  • If the release config already sets CGO_ENABLED=1 or -linkmode=external, there is a reason. Find it before changing it.

When cgo must stay and the project compiles C sources (SQLite bindings, image codecs), CGO_CFLAGS="-Oz" optimises that C code for size.

5. Build Tags — the step most often skipped

Heavyweight optional features are usually gated behind tags that live outside the Go source.

bash
grep -rn '//go:build' --include='*.go' . | grep -v _test.go
grep -rnE '\-tags' Makefile Taskfile.y*ml .goreleaser.y*ml Dockerfile .github/workflows/ 2>/dev/null

Common wins: dropping a driver you do not use, excluding an admin UI from the production build, building a noembed variant that fetches assets at runtime.

6. Dependency Weight

A single import can dominate the binary. gsa attributes bytes per module — start there, not from intuition.

Recurring offenders:

  • Cloud provider SDKs. Import the individual service package, never the aggregate root.
  • github.com/prometheus/client_golang pulls a large surface for a handful of counters.
  • Anything reflection-heavy: the linker cannot dead-code-eliminate through reflect, so a reflection-based codec keeps types alive that nothing calls.
  • Generated protobuf packages for protos you do not use.

Replacing a dependency with 40 lines of standard library is a legitimate size fix. Replacing a well-maintained dependency with your own crypto is not.

7. Embedded Assets

//go:embed content is stored uncompressed.

go
//go:embed assets/*
var assets embed.FS

Options, in order of preference: ship fewer assets; pre-compress them and serve with Content-Encoding: gzip; move them out of the binary entirely and into the container image or a CDN.

8. Container Images

The binary is often the smaller half of the problem.

dockerfile
FROM golang:1.25 AS build
WORKDIR /src
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 go build -trimpath -ldflags="-s -w" -o /out/app ./cmd/app

FROM gcr.io/distroless/static-debian12:nonroot
COPY --from=build /out/app /app
USER nonroot:nonroot
ENTRYPOINT ["/app"]

scratch is smaller than distroless/static but ships no CA certificates, no /etc/passwd, and no timezone database. Use distroless/static unless you have verified the binary needs none of them.

9. UPX — last resort, usually wrong

upx --best roughly halves the on-disk size and costs decompression on every start, breaks mmap-based tooling, and is a strong antivirus and EDR heuristic trigger. Do not pack a binary that ships to end users or runs in a monitored production environment. Consider it only for a size-constrained embedded target, and say so explicitly in the report.

Verification

After every change:

bash
go build -o /tmp/candidate ./cmd/app && /tmp/candidate --version
go test ./...
ls -l /tmp/base /tmp/candidate

A smaller binary that no longer starts, or that lost a feature guarded by a build tag, is not a win.

Verification Checklist

  1. A baseline size was recorded before any flag changed
  2. Every claimed saving has a before/after number, raw and compressed
  3. -s -w applied, and an unstripped artifact retained for debugging
  4. -gcflags=all=-l benchmarked, not assumed, on latency-sensitive code
  5. CGO_ENABLED=0 measured both ways, not applied blind
  6. Build tags in Makefile, goreleaser, Dockerfile and CI workflows inspected
  7. Dependency attribution done with a tool, not from intuition
  8. The candidate binary runs and the test suite passes
  9. UPX used only with an explicit justification

Frequently asked questions

What does the Go Binary Size AI skill do?

Reduce the size of compiled Go binaries and container images: linker flags, inlining budget, CGO and build tags, embedded assets, dependency weight, and measuring what actually costs bytes. Use when a binary or image is too large, when shrinking a CLI for distribution, or when auditing what a dependency adds to the build. Trigger examples: "binary is too big", "shrink the binary", "reduce image size", "strip symbols", "what is making my binary large", "ldflags -s -w". Not for: runtime speed and allocations (go-performance-review), CI setup (go-ci), release pipelines and signing (go-build-re...

Why use Go Binary Size on TypingMind?

Because you install it once and use it with any model. Go Binary Size 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 Go Binary Size in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/eduardo-sl/go-agent-skills/tree/main/skills/(workflow)/go-binary-size. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Go Binary Size?

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 Go Binary Size?

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

Is the Go Binary Size AI skill free?

Yes. It is published on GitHub by eduardo-sl 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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