React Native Best Practices
vercel-labs/openreview
A prioritized rule set for React Native and Expo apps covering list performance, animation, navigation, UI patterns, state, rendering, monorepos and configuration.
A skill your agent uses to explain why the Compose compiler classified a class or composable parameter as stable, runtime, unknown, or unstable.
$ npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rosuH/EasyWatermark understanding-stability-inference --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/understanding-stability-inference .claude/skills/understanding-stability-inference && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "understanding-stability-inference" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inference into .claude/skills/understanding-stability-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "understanding-stability-inference", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inferenceType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rosuH/EasyWatermark understanding-stability-inference --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/understanding-stability-inference .agents/skills/understanding-stability-inference && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "understanding-stability-inference" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inference into .agents/skills/understanding-stability-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "understanding-stability-inference", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rosuH/EasyWatermark understanding-stability-inference --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/understanding-stability-inference .cursor/skills/understanding-stability-inference && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "understanding-stability-inference" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inference into .cursor/skills/understanding-stability-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "understanding-stability-inference", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rosuH/EasyWatermark.git --path .agents/skills/understanding-stability-inference--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rosuH/EasyWatermark understanding-stability-inference --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/understanding-stability-inference .gemini/skills/understanding-stability-inference && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "understanding-stability-inference" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inference into .gemini/skills/understanding-stability-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "understanding-stability-inference", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rosuH/EasyWatermark understanding-stability-inferenceInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/understanding-stability-inference .github/skills/understanding-stability-inference && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "understanding-stability-inference" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inference into .github/skills/understanding-stability-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "understanding-stability-inference", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rosuH/EasyWatermark understanding-stability-inference --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rosuH/EasyWatermark.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/understanding-stability-inference .opencode/skills/understanding-stability-inference && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "understanding-stability-inference" agent skill from https://github.com/rosuH/EasyWatermark/tree/master/.agents/skills/understanding-stability-inference into .opencode/skills/understanding-stability-inference/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "understanding-stability-inference", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
understanding-stability-inferenceA skill your agent uses to explain why the Compose compiler classified a class or composable parameter as stable, runtime, unknown, or unstable.
Understanding Stability Inference is an agent skill from rosuH/EasyWatermark. Use this skill to explain why the Compose compiler classified a class or composable parameter as stable, runtime, unknown, or unstable. Covers the 12-phase inference algorithm, the five compiler-level stability types (Certain / Runtime / Unknown / Parameter / Combined), the generic bitmask encoding (Pair=0b11, ImmutableList=0b1), the Known Stable Constructs registry, and the runtime $stable: Int field generated by @StabilityInferred. Use when the developer asks "why is X classified as Y?", when a stability report…
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/bitmask-encoding.md` and `references/twelve-phase-algorithm.md`).
It sits in Mobile. The repository describes itself as: 🔒 🖼 Securely, easily add a watermark to your sensitive photos. 安全、简单地为你的敏感照片添加水印,防止被人泄露、利用. The licence is Apache-2.0.
12 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 61223db. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are kotlin).
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
developer.android.commedium.comgithub.comchrisbanes.meFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Understanding Stability Inference loads about 4.3k tokens when it runs, and up to ~9.4k if it reads all its reference files. Until then it costs about 215 tokens; SKILL.md has 1,689 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from rosuH/EasyWatermark at commit 61223db, republished under its Apache-2.0 licence (© rosuH). 1,689 words, ~4,269 tokens.
.claude/skills/understanding-stability-inference/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Stability is decided by a 12-phase algorithm baked into the Compose compiler. This skill teaches Claude how the algorithm walks a type so it can explain why a report says what it says, and predict classifications before the report is even generated. Pair this with ../diagnosing-compose-stability/SKILL.md (which generates the report) and ../stabilizing-compose-types/SKILL.md (which fixes obvious unstable types). Reach for this skill when the simpler skills produce a verdict that surprises the developer.
Foo classified as runtime stable and not stable?"runtime or unknown for a class that "looks fine".Box<T>, Wrapper<A, B>, Pair<String, Int>, ImmutableList<User>..class/.kotlin_metadata artifact.$stable: Int field, @StabilityInferred, or cross-module classification.class Node(val children: List<Node>)) is unstable for non-obvious reasons.var → val, List → ImmutableList, Flow parameter removal). Use ../stabilizing-compose-types/SKILL.md.../diagnosing-compose-stability/SKILL.md first.../enforcing-stability-in-ci/SKILL.md.<module>-classes.txt and <module>-composables.txt available in build/compose_compiler/.stable, unstable, skippable, restartable, @Stable, @Immutable.Walk the type through the same 12 phases the compiler does. For each call site, ask the questions in order; the first matching phase wins.
The canonical phase order (used everywhere in this skill and matching references/twelve-phase-algorithm.md):
String / function / Unit fast path → Stable.
The compiler returns immediately. No field analysis runs. Mention the fast path so the developer knows nothing else was inspected.T becomes Stability.Parameter(T); resolution is deferred to the call site that substitutes it.Int? → analyze Int).
Nullability does not change stability; the algorithm strips the ? and recurses.value class Wrapper(val raw: T) is exactly as stable as T.@Stable/@Immutable on the recursive class, which fires in phase 6 before phase 5 is reached.@Stable, @Immutable, @StableMarker).
Yes → Stability.Certain (stable). @Immutable enables additional optimizations beyond @Stable because the compiler can promote reads of properties to static expressions and elide equality checks; @Stable only promises change notification.Pair / Triple / Result / ImmutableList / dagger.Lazy / ClosedRange / etc.).
Returns Stability.Parameter with the registry's bitmask. See references/bitmask-encoding.md for the full registry.stability_config.conf).
Returns Stability.Parameter with the bitmask declared in the config file.@StabilityInferred annotation generated by separate compilation).
Returns Stability.Runtime. The compiler emits a $stable: Int field on the JVM (a mangled top-level property on Native/JS) that the runtime queries via Composer.changed. Tell the developer this is not a bug — runtime is the compiler saying "I cannot prove this at compile time, so I will check at runtime".final fields look like var to the inference because the algorithm has no Kotlin metadata to read. Fix via stabilityConfigurationFiles, not by editing the Java source.===).
The compiler cannot enumerate implementations from a single call site; the runtime falls back to identity (===) for the equality probe.var property → Unstable (mutation observed without Snapshot integration).Unstable → Unstable (Combined dominates).Stable (Combined of all-stable fields collapses to Stable).For full pseudocode of all 12 phases plus the field-by-field loop, see references/twelve-phase-algorithm.md.
Box<String> show as runtime stable?"// Source — the developer's class, in a library module
class Box<T>(val value: T)
// Call site, in app module
@Composable fun BoxRow(box: Box<String>) { Text(box.value) }The compiler walks Box<T>:
value: T; recursion on T hits phase 2 (type parameter) → Stability.Parameter. Combined collapses to Stability.Parameter with bitmask 0b1 (the single type parameter affects stability).Box is consumed from a different module, the compiler emits @StabilityInferred(parameters = 0b1) on Box and a $stable: Int field initialized from T's stability at runtime. Downstream call sites pick this up via phase 9.T = String → String is Certain Stable → bit 0 satisfied.runtime stable class Box<T> and at the call site BoxRow is skippable.// WRONG mental model
// "runtime stable means there is a runtime cost on every recomposition" — partly true but misleading
// WRONG because: the cost is one Int field load and a bitwise AND, performed once when the runtime
// computes the call-site stability. It is far cheaper than the unskipped recomposition it prevents.// RIGHT mental model
// runtime stable = "the compiler proved stability conditional on the type arguments, and emitted
// a $stable: Int field whose bits the runtime ANDs against the substituted argument stabilities".
// The skip decision is still made; it is just made at runtime instead of compile time.@Immutable data class Person(val name: String) enable more optimizations than @Stable?"@Stable is a contract: "I will notify Compose of changes". @Immutable is a stronger contract: "I will never change". With @Immutable the compiler may promote reads of Person.name to static expressions and elide equality probes for nested usages; with @Stable it must still emit equality checks. Both classify as Stability.Certain, but the downstream optimizer treats @Immutable more aggressively.
// WRONG
@Stable data class Coordinates(val lat: Double, val lng: Double)
// WRONG because: Coordinates never mutates after construction. @Stable understates the contract
// and forfeits static-expression promotion at every read site.// RIGHT
@Immutable data class Coordinates(val lat: Double, val lng: Double)data class Node(val id: String, val children: List<Node>)Phase 5 (cycle detection) bails. The compiler does not attempt fixed-point analysis because it would have to assume the answer to prove the answer. The conservative verdict is Unstable. Even if every field is otherwise stable, the recursion through children returns Unstable to the parent call.
// WRONG — adds @Stable to "force" stability
@Stable data class Node(val id: String, val children: List<Node>)
// WRONG because: List<Node> is a mutable interface backed by ArrayList in practice. The @Stable
// annotation tells the compiler to trust the contract, but the actual List instance can mutate
// between recompositions without notifying Compose, producing silent missed recompositions.// RIGHT
import kotlinx.collections.immutable.ImmutableList
@Immutable data class Node(val id: String, val children: ImmutableList<Node>)ImmutableList is in the Known Stable Constructs registry (phase 7) with bitmask 0b1, so the recursion through children is permitted: cycle detection still triggers in phase 5, but the registry hit short-circuits the conservative verdict.
Set<String> block skipping but ImmutableSet<String> doesn't?"kotlin.collections.Set is an interface (phase 11 → Unknown) backed in practice by LinkedHashSet, which mutates. kotlinx.collections.immutable.ImmutableSet is in the Known Stable Constructs registry with bitmask 0b1, so it is Stability.Parameter and resolves to stable when the element type is stable.
// WRONG
@Composable fun TagRow(tags: Set<String>) { /* ... */ }
// WRONG because: Set is an interface — phase 11 returns Unknown, the call site is non-skippable.// RIGHT
@Composable fun TagRow(tags: ImmutableSet<String>) { /* ... */ }runtime stable even when it has only vals?"Separate compilation. At the time the call site compiles, the compiler does not have the full source AST of the dependency, only its .class files plus the metadata in @StabilityInferred(parameters = ...). Phase 9 reads that annotation; the runtime resolves the bitmask against actual type arguments via the generated $stable: Int field. The classification is correct — there is no extra work to do — but it must be deferred to runtime because cross-module compile-time analysis is impossible without the source.
Cite these by name when answering "why" questions. The compiler stores stability as one of:
@Stable/@Immutable-annotated classes. Decision is final and compile-time.$stable: Int field and @StabilityInferred; runtime ANDs the bits against actual type arguments.=== identity for the equality probe.Container<T1, T2, T3> uses an Int bitmask where bit i set means Ti participates in stability:
| Type | Bitmask | Reading |
|---|---|---|
kotlin.Pair<A, B> | 0b11 | both A and B affect stability |
kotlin.Triple<A, B, C> | 0b111 | all three affect stability |
kotlinx.collections.immutable.ImmutableList<E> | 0b1 | only E affects stability |
java.math.BigInteger | 0b0 | no parameters; classified as stable regardless of erased type arguments |
The full rules — including how @StabilityInferred(parameters = ...) is generated for separately-compiled types and how the $stable: Int field is laid out on the JVM versus the mangled top-level property used on Kotlin/Native and Kotlin/JS — are in references/bitmask-encoding.md.
runtime stable is not a bug or an unstable verdict — it is the compiler's way of saying "stability is conditional on type arguments and will be checked once at runtime via the $stable: Int field".var to val, swapping collection types) before explaining why the current structure is unstable. Diagnosis before treatment.Stability.Unknown from Stability.Unstable when answering — Unknown means "cannot tell" and falls back to identity equality, Unstable means "proven unstable" and disables skipping outright.@Stable to a type whose contract they cannot guarantee. A stability annotation is a contract; breaking it produces silent missed recompositions, which is worse than a non-skippable composable.Stability.kt (the algebraic data type), KnownStableConstructs.kt (the registry), ClassStabilityTransformer.kt (the $stable field emission), and StabilityConfigParser.kt (the config-file reader).Pair's bitmask is set, A=String is Certain Stable, satisfied; bit 1 is set, B=List is Unstable, fails — Combined collapses to Unstable".Certain, Runtime, Unknown, Parameter, or Combined.runtime stable class, Claude can explain that the compiler emitted @StabilityInferred(parameters = ...) on the class declaration and a $stable: Int field that the runtime ANDs against substituted type-argument stabilities.@Stable or @Immutable on a type whose mutation contract is not guaranteed.Set<T>, List<T>, Map<K, V> as Unknown interfaces (not Unstable) when explaining why they block skipping.references/twelve-phase-algorithm.md — pseudocode walkthrough of all 12 phases plus the field-by-field analysis pseudocode.references/bitmask-encoding.md — generic stability bitmask rules, the Known Stable Constructs registry, the @StabilityInferred(parameters = 0b1) annotation generated by the compiler, the runtime $stable: Int field on JVM, and the mangled top-level property approach on Native and JS.© rosuH, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in .agents/skills/understanding-stability-inference of rosuH/EasyWatermark.
Open the folder on GitHubat commit 61223db
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in rosuH/EasyWatermark, which our catalogue first saw on October 7, 2026.
Understanding Stability Inference next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Understanding Stability Inference this skillrosuH/EasyWatermark | 1.9k | 1 repos | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| React Native Best Practicesvercel-labs/openreview | 1.7k | 17 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Swiftui Protwostraws/SwiftUI-Agent-Skill | 5.1k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Kortix Brandkortix-ai/suna | 20k | — | ~4k | Automated safety check: Pass | Custom licence | |
| Ip As LogoKartikLabhshetwar/better-shot | 2.4k | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Compose Multiplatform Patternsmonta-app/ocpp-emulator | 180 | 5 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
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Categories
A skill your agent uses to explain why the Compose compiler classified a class or composable parameter as stable, runtime, unknown, or unstable. Understanding Stability Inference is an agent skill from rosuH/EasyWatermark. Use this skill to explain why the Compose compiler classified a class or composable parameter as stable, runtime, unknown, or unstable.
Understanding Stability Inference fits situations like: explain why the Compose compiler classified a class; composable parameter as stable; the developer asks why is X classified as Y?; A stability report shows a surprising runtime stable.
Run `npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a claude-code`. Or copy the skill folder (.agents/skills/understanding-stability-inference in rosuH/EasyWatermark) into .claude/skills/understanding-stability-inference in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a codex`. Or copy the skill folder (.agents/skills/understanding-stability-inference in rosuH/EasyWatermark) into .agents/skills/understanding-stability-inference in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rosuH/EasyWatermark --skill understanding-stability-inference -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/understanding-stability-inference, .gemini/skills/understanding-stability-inference, .github/skills/understanding-stability-inference and .opencode/skills/understanding-stability-inference in your project.
SKILL.md names no scripts, command-line tools or credentials: Understanding Stability Inference is instructions for the agent only.
SKILL.md names 4 domains. As links in the text: developer.android.com, medium.com, github.com and chrisbanes.me. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Understanding Stability Inference is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Understanding Stability Inference: React Native Best Practices (vercel-labs/openreview, 1.7k stars), Swiftui Pro (twostraws/SwiftUI-Agent-Skill, 5.1k stars), Kortix Brand (kortix-ai/suna, 20k stars) and Ip As Logo (KartikLabhshetwar/better-shot, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
rosuH (a GitHub user) maintains it in rosuH/EasyWatermark, which has 1,894 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on October 6, 2026.
Source: rosuH/EasyWatermark on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.