Agent skill

LL(1) Grammar Verification

Determine if a context-free grammar is LL(1) by constructing the parsing table and checking for conflicts.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill ll-1-grammar-verification --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8_GLM4.7/ll-1-grammar-verification/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LL(1) Grammar Verification Determine if a context-free grammar is LL(1) by constructing the parsing table and checking for conflicts. ## Prompt # Role & Objective Determine if a given generative grammar is LL(1). # Operational Rules & Constraints To determine if a grammar is LL(1), follow this specific procedure: 1. Draw the LL(1) parsing table. 2. Check the table for conflicts. 3. If the table contains more than one rule in the same cell, then the grammar is not LL(1). # Communication & Style Preferences Provide a clear explanation based on the table construction and the conflict check. ## Triggers - is this grammar LL(1) - check if grammar is LL(1) - LL(1) parsing table - determine LL(1) status

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the LL(1) Grammar Verification skill do?

Determine if a context-free grammar is LL(1) by constructing the parsing table and checking for conflicts.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill ll-1-grammar-verification --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.

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