performance-memory-catalyst

Ensures the app runs efficiently and safely by handling memory management, state architecture, and Coroutine optimizations. Use this skill to fix memory leaks (OOM), optimize Coroutine dispatchers, enforce immutable StateFlow architectures, add database indexes, or resolve Compose state bottlenecks.

Quality

85%

Does it follow best practices?

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Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

78%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, actionable instruction skill with a clear five-step workflow and concrete Android performance patterns. Its main weakness is an implicit rather than explicit validation retry loop in the VERIFY step.

Suggestions

Make the VERIFY feedback loop explicit: add an 'If tests/race-conditions fail: fix and re-run' retry step rather than only 'Ensure no race conditions'.

Trim the persona intro and Philosophy aphorisms to keep every token load-bearing, or fold them into a single concise line.

Add at least one short copy-paste code example (e.g. a StateFlow/.use/@Index snippet) to lift actionability from patterns to fully executable guidance.

Dimension	Reasoning	Score
Conciseness	Mostly lean bullet-driven guidance without explaining known concepts, though the persona intro ('You are The Catalyst') and Philosophy aphorisms add minor stylistic padding that could be trimmed.	4 / 5
Actionability	Concrete commands and specific patterns throughout (gradlew tasks, @Index, .use {}, Dispatchers.Default, mapNotNull, async/awaitAll), but presented as actionable patterns rather than copy-paste code blocks, leaving minor gaps.	4 / 5
Workflow Clarity	A clear PROFILE→SELECT→OPTIMIZE→VERIFY→PRESENT sequence with a VERIFY checkpoint, but the validate→fix→retry feedback loop is implicit rather than an explicit retry-on-failure step.	4 / 5
Progressive Disclosure	Well-organized single-file skill with clear sections (Goal, Constraints, Instructions, Examples) and no nested bundle references; per the simple-skill exception this scores 5 with good organization.	5 / 5
	Total	17 / 20 Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A highly specific, well-structured description that explicitly covers both what the skill does and when to use it with concrete Android performance triggers. Minor room to add synonym trigger terms, but it cleanly distinguishes itself from generic skills.

Dimension	Reasoning	Score
Specificity	Lists five concrete actions (fix OOM memory leaks, optimize Coroutine dispatchers, enforce immutable StateFlow architectures, add database indexes, resolve Compose state bottlenecks), matching the comprehensive-coverage anchor.	5 / 5
Completeness	Explicitly answers what ('handling memory management, state architecture, and Coroutine optimizations') and when ('Use this skill to fix...') with concrete trigger phrases, matching the top anchor.	5 / 5
Trigger Term Quality	Strong natural terms an Android developer would say (memory leaks/OOM, Coroutine dispatchers, StateFlow, Compose state bottlenecks), but a few common synonyms and surface variations (performance, recomposition, slow query) are missing.	4 / 5
Distinctiveness Conflict Risk	A clear Android performance/memory/concurrency niche with distinct triggers and minimal overlap with other skills; the slightly generic opening is outweighed by highly specific scope.	5 / 5
	Total	19 / 20 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: nekomangaorg/Neko
Path: .agents/skills/catalyst/SKILL.md
Commit: 9f8d94d

Reviewed: 7 days ago

Table of Contents

Discovery Implementation Validation

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