R8 Analyzer

Q: Why use R8 Analyzer on TypingMind?

Because you install it once and use it with any model. R8 Analyzer 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.

Q: How do I install R8 Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/android/skills/tree/main/performance/r8-analyzer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Q: Which AI models can use R8 Analyzer?

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.

Q: How many AI models can I use with R8 Analyzer?

As many as you like. As long as a model supports skills, you can use R8 Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Q: Is the R8 Analyzer AI skill free?

Yes. It is published on GitHub by android under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

OrganizationPopular

android

r8-analyzer

Analyzes Android build files and R8 keep rules to identify redundancies, broad package-wide rules, and rules that subsume library consumer keep rules. Use when developers want to optimize their app's size, remove redundant or overly broad keep rules, or troubleshoot Proguard configurations.

Overview

Publisher	android
Repository	`skills`
Skill name	`r8-analyzer`
Stars	7.4K
Forks	484
Bundled files	8
License	Apache-2.0
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.
8 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by android on GitHub. Read the source before you install it.

Installation

Install the R8 Analyzer 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.
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.

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/android/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/performance/r8-analyzer .claude/skills/r8-analyzer

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

Use it in TypingMind

Enable R8 Analyzer 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 R8 Analyzer 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 R8 Analyzer 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.

Step 1. Setup and configuration check

Inspect build.gradle, build.gradle.kts, and gradle.properties.
Use references/CONFIGURATION.md to identify missing optimizations.
AGP : If version is lower than 9.0, suggest migration to 9.0 for build-time performance improvement.
Full Mode : Verify android.enableR8.fullMode=false is removed from gradle.properties.

Step 2. Analysis path selection

Inspect build.gradle, build.gradle.kts, and gradle.properties and libs.versions.toml to get the AGP and R8 versions.
If AGP >= 9.3.0 : Proceed to Path A (Standalone Task).
If AGP < 9.3.0 and R8 >= 9.3.7-dev : Proceed to Path B (Quantitative).
If none of the conditions are met, proceed to Path C (Heuristic).

Path A: Standalone Gradle task (AGP >= 9.3.0)

Step 1: Run standalone task : Run ./gradlew :app:analyzeReleaseR8Config to evaluate the R8 configuration. You MUST wait for this command to finish before proceeding.
Step 2: Convert to JSON : The report is generated at app/build/reports/r8/r8-config-analyzer-release.pb. You MUST explicitly run the conversion script by executing: python3 .agents/skills/r8-analyzer/scripts/convert_pb_to_json.py. Wait for this command to finish.
Step 3: Analyze : You MUST explicitly run the analysis script by executing: python3 .agents/skills/r8-analyzer/scripts/analyze.py. This outputs tmp/keepradius/analysis_result.txt. Wait for this command to finish.

Path B: Quantitative data generation (R8 >= 9.3.7-dev and AGP < 9.3.0)

Step 1: Check requirements : Python and protobuf package are mandatory.
Step 2: Generate and analyze : You MUST run the shell commands described in references/CONFIGURATION-ANALYZER.md to generate the proto file using R8 configuration analyzer, convert it to JSON and analyze the result.
Step 3: Analyze : You MUST ensure the analysis produces tmp/keepradius/analysis_result.txt for scores and rule impact metrics.

Path C: Heuristic evaluation and recommendation (R8 < 9.3.7-dev)

(Use ONLY if quantitative data generation is not possible)

Step 1: Manual evaluation : Inspect proguard-rules.pro.
Step 2: Library check : Compare rules against references/REDUNDANT-RULES.md. Suggest Remove for bundled rules.
Step 3: Custom rule check : Use references/KEEP-RULES-IMPACT-HIERARCHY.md and references/REFLECTION-GUIDE.md to prioritize and evaluate. Suggest Refine for broad rules (for example, package-wide).
Step 4: Validation : Suggest Macrobenchmark tests using UI Automator for any proposed changes. Proceed to Step 3.

Step 3. Report generation

Format : Follow references/REPORT_FORMAT.md strictly.
Input: Extract metrics (Scores, Impacts, Example Classes) directly from generated file analysis.txt if using Path A, or from manual findings if using Path B.
Output : Output ONLY the raw Markdown report in the chat. Do NOT output conversational filler (for example, "Here is your report..."). Do NOT provide recommendations, next steps, or any other text outside of the sections defined in references/REPORT_FORMAT.md Do NOT mention the path used for analysis of the configuration

Constraints

Strict output limit: The final output MUST strictly be the Markdown report and nothing else.
No code changes: Research and suggest only; Do not modify files.
No redundancy: Do not explain R8 benefits or reference skill internal files in the report.
Focus: Omit sections (for example, Subsumed Rules, Configuration) if no issues or items are found.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the R8 Analyzer AI skill do?

Why use R8 Analyzer on TypingMind?

Because you install it once and use it with any model. R8 Analyzer 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 R8 Analyzer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/android/skills/tree/main/performance/r8-analyzer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use R8 Analyzer?

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 R8 Analyzer?

As many as you like. As long as a model supports skills, you can use R8 Analyzer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the R8 Analyzer AI skill free?

Yes. It is published on GitHub by android under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Step 1. Setup and configuration check

Step 2. Analysis path selection

Path A: Standalone Gradle task (AGP >= 9.3.0)

Path B: Quantitative data generation (R8 >= 9.3.7-dev and AGP < 9.3.0)

Path C: Heuristic evaluation and recommendation (R8 < 9.3.7-dev)

Step 3. Report generation

Constraints

Bundled files

Frequently asked questions

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