android-performance
Optimize Android app startup, UI rendering, and frame stability with Baseline Profiles and lazy initialization. Use when reducing startup time, diagnosing jank, or improving rendering performance.
76
72%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/android/android-performance/SKILL.mdQuality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that concisely covers specific capabilities (startup optimization, UI rendering, frame stability), names concrete techniques (Baseline Profiles, lazy initialization), and provides explicit trigger guidance with natural developer terminology. It uses proper third-person voice and is clearly distinguishable from other potential skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'optimize Android app startup, UI rendering, and frame stability' along with specific techniques like 'Baseline Profiles and lazy initialization'. These are concrete, actionable capabilities. | 3 / 3 |
Completeness | Clearly answers both what ('Optimize Android app startup, UI rendering, and frame stability with Baseline Profiles and lazy initialization') and when ('Use when reducing startup time, diagnosing jank, or improving rendering performance') with an explicit 'Use when...' clause. | 3 / 3 |
Trigger Term Quality | Includes strong natural keywords users would say: 'startup time', 'jank', 'rendering performance', 'Baseline Profiles', 'lazy initialization', 'Android app', 'UI rendering', 'frame stability'. These cover common terms developers use when discussing Android performance. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with a clear niche: Android performance optimization specifically around startup, rendering, and frame stability. The mention of 'Baseline Profiles', 'jank', and 'lazy initialization' makes it very unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
44%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill provides a well-organized overview of Android performance optimization areas with appropriate progressive disclosure to a reference file. However, it lacks executable code examples and any measurement/validation workflow (e.g., profile before/after, use Macrobenchmark to verify improvements), which significantly limits its actionability for Claude. The anti-patterns section is redundant with earlier content.
Suggestions
Add executable code examples for key operations: Baseline Profile generation rule, lazy initialization with App Startup, and LazyColumn with stable keys
Add a measurement/validation workflow: e.g., 1) Run Macrobenchmark baseline → 2) Apply optimization → 3) Re-run benchmark → 4) Verify improvement threshold
Remove the 'Anti-Patterns' section since both points are already covered in sections 2 and 3
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient but has some redundancy — the 'Anti-Patterns' section repeats points already made in sections 2 and 3 (nested weights, Activity context in Singletons). The parenthetical '(30-40% startup improvement)' is useful context though. | 2 / 3 |
Actionability | Provides specific tool names and patterns (Baseline Profiles, App Startup, Coil/Glide, LazyColumn keys) but lacks any executable code examples. Guidance is concrete in direction but not copy-paste ready — no code snippets for lazy initialization, Baseline Profile generation, or LazyColumn key usage. | 2 / 3 |
Workflow Clarity | No clear sequenced workflow for any of the tasks. Steps are listed as bullet points without ordering, validation checkpoints, or feedback loops. For performance optimization (which involves measurement → change → re-measurement), the absence of any profiling/verification steps is a significant gap. | 1 / 3 |
Progressive Disclosure | Clean overview structure with well-signaled one-level-deep references to implementation.md. Content is appropriately split between the overview skill file and the detailed reference, with clear navigation links. | 3 / 3 |
Total | 8 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
metadata_version | 'metadata.version' is missing | Warning |
metadata_field | 'metadata' should map string keys to string values | Warning |
Total | 9 / 11 Passed | |
- Repository
- HoangNguyen0403/agent-skills-standard
- Commit
4c72e76
- Reviewed
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