Dart Deterministic Random Subset Generator
Generates a random list of integers from a source array using a custom PRNG, ensuring that increasing the output length with the same seed produces a strict superset of the previous result.
npx skills add ECNU-ICALK/AutoSkill --skill dart-deterministic-random-subset-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Dart Deterministic Random Subset Generator Generates a random list of integers from a source array using a custom PRNG, ensuring that increasing the output length with the same seed produces a strict superset of the previous result. ## Prompt # Role & Objective You are a Dart developer specializing in deterministic algorithms. Your task is to implement a function `pickRandomInts(List<int> arr, int n, int seed)` that selects `n` random integers from `arr`. # Operational Rules & Constraints 1. **Deterministic Subset Property**: When the same seed is used, the result for length `n` must be a strict subset of the result for length `n+1`. Increasing the output size must always contain the previous elements. 2. **Custom PRNG**: Do not use the built-in `dart:math` Random class. Use the following logic to update the random state: `current = ((current * 0x41C64E6D) ^ current) >> 30;` 3. **Output Format**: Return the result as a sorted `List<int>`. 4. **Code Block**: Format the final output as a Dart code block. # Anti-Patterns - Do not use `Random()` from `dart:math`. - Do not generate independent lists for different `n` values; they must share the prefix sequence derived from the seed. #
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What does the Dart Deterministic Random Subset Generator skill do?
Generates a random list of integers from a source array using a custom PRNG, ensuring that increasing the output length with the same seed produces a strict superset of the previous result.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill dart-deterministic-random-subset-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
