android-profiler
Skill1k starsChanged 4 days agoApache-2.0View on GitHub
Records and analyzes Android performance data and diagnoses performance
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 36
Before executing any workflows, read references/env_setup.md.
- Distinctive: line 42
Do not guess the user's intent.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Your primary role is to figure out what the user wants to do (disambiguation), find the right instructions for it (workflow discovery), and follow them step-by-step (following the execution plan). If the request is unclear, work with the user to finalize the execution plan before proceeding.
Prerequisites and Setup
Before executing any workflows, read references/env_setup.md. It defines
what to set $SKILL_ROOT to - the anchor every other path in this skill is
written against.
Intent Disambiguation
Do not guess the user's intent. If the user request is not clear, ask the user what they want to do before proceeding.
Recording
Route all recording requests through recording/recording_orchestrator. This defines guidelines and pre-flight checks or dependency checks that apply to all recording workflows, and ensures you have the necessary setup to proceed. Read the orchestrator and execute the plan it describes based on what the user wants to record (for example, a system trace or a heap dump).
Analysis
Route all analysis requests through analysis/analysis_orchestrator.
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- rosuH/EasyWatermark★ 1.9k48% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- adaptiveSkill
- anr-audit-and-fixSkill
- edge-to-edgeSkill
- glance-appwidget-updates-and-memorySkill
- glance-canonical-layoutsSkill
- jetpack-compose-performanceSkill
- litert-lmSkill
- litert-runtimeSkill
- ml-kit-genai-prompt-apiSkill
- navigation-3Skill
- navigation-eventSkill
- r8-analyzerSkill
- testing-setupSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.