Agent skill

Lc Discussion

by yennanliu in yennanliu/CS_basics

Search recent LeetCode Discuss posts (leetcode.com/discuss/) by keyword — a company, a level, a round — read the ones that describe real interview questions, map each question to an LC number, check…

No licenceAuto-check: notesDevelopment

Install Lc Discussion

skills CLI
$ npx skills add yennanliu/CS_basics --skill lc-discussion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yennanliu/CS_basics lc-discussion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yennanliu/CS_basics.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/lc-discussion .claude/skills/lc-discussion && rm -rf skills-src

Use ~/.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/

Facts

Skill name
lc-discussion
GitHub stars
141
Token cost
~2k tokens
SKILL.md length
1,027 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
None found

At a glance

Search recent LeetCode Discuss posts (leetcode.com/discuss/) by keyword — a company, a level, a round — read the ones that describe real interview questions, map each question to an LC number, check…

  • Works in 7 steps: Search → Shortlist → Read → …
  • Asked what a company has been asking lately
  • SKILL.md covers Why this exists, Prime directives, The steps and Do not, plus 1 more section
  • Calls python3

What it does

Lc Discussion is an agent skill from yennanliu/CS_basics. Search recent LeetCode Discuss posts (leetcode.com/discuss/) by keyword — a company, a level, a round — read the ones that describe real interview questions, map each question to an LC number, check every one against README and the practice log, and write the result as a 繁體中文 summary doc under doc/ws/. Use when asked what a company has been asking lately, to scan LC discuss for interview experiences, to turn recent posts into a drill list, or to summarise discussion threads into a doc. Triggers - "/lc-discussion…

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Interview preparation and Technical documentation. The repository describes itself as: My CS learning : algorithm, data structure, and system design | SE.

When your agent uses it

  • Asked what a company has been asking lately
  • Scan LC discuss for interview experiences
  • Turn recent posts into a drill list
  • Summarise discussion threads into a doc

Example prompts

  • “/lc-discussion google”
  • “/lc-discussion meta e4 --days 30”
  • “scan LC discuss for recent Google L3 questions”
  • “/lc-discussion”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Glob, Grep, Bash

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Search
  2. Shortlist
  3. Read
  4. Map to LC numbers
  5. Cross-reference
  6. Write the doc
  7. Report

What it can do on your machine

Read from SKILL.md and the folder at commit b6cade9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Glob
    • Grep
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lc Discussion loads about 2k tokens when it runs. Until then it costs about 178 tokens; SKILL.md has 1,027 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~178
When it runs · the whole SKILL.md, loaded when a task matches
~2k

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.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Glob, Grep, Bash

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,027 words (~1,969 tokens).

“Turn the last few weeks of interview write-ups on LeetCode Discuss into one doc in 繁體中文: the posts worth reading, the questions that came up more than once, and which of those problems this repo has never practised.”

— opening of SKILL.md by yennanliu
name
lc-discussion
allowed-tools
Read, Write, Glob, Grep, Bash

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/lc-discussion of yennanliu/CS_basics.

Open the folder on GitHubat commit b6cade9

Compare with similar skills

Lc Discussion 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.

Lc Discussion compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lc Discussion this skillyennanliu/CS_basics141—~2kAutomated safety check: NotesNone
Leetcode Pywislertt/leetcode-py142—~1.4kAutomated safety check: PassApache-2.0
Handoverk1ein-chen/Harness-Starter119—~752Automated safety check: PassMIT
Diagram Designcathrynlavery/diagram-design49k1 repos~7.6kAutomated safety check: PassMIT
Simple Englishmoeru-ai/airi50k2 repos~4.6kAutomated safety check: PassMIT
Doc SyncJetBrains/ideavim10k2 repos~2.6kAutomated safety check: PassMIT

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Questions about Lc Discussion

What does Lc Discussion do?

Search recent LeetCode Discuss posts (leetcode.com/discuss/) by keyword — a company, a level, a round — read the ones that describe real interview questions, map each question to an LC number, check…. Lc Discussion is an agent skill from yennanliu/CS_basics.com/discuss/) by keyword — a company, a level, a round — read the ones that describe real interview questions, map each question to an LC number, check every one against README and the practice log, and write the result as a 繁體中文 summary doc under doc/ws/.

When should I use Lc Discussion?

Lc Discussion fits situations like: asked what a company has been asking lately; scan LC discuss for interview experiences; turn recent posts into a drill list; summarise discussion threads into a doc.

How do I install Lc Discussion in Claude Code?

Run `npx skills add yennanliu/CS_basics --skill lc-discussion -a claude-code`. Or copy the skill folder (.claude/skills/lc-discussion in yennanliu/CS_basics) into .claude/skills/lc-discussion in your project. Claude Code loads it when a task matches its description.

How do I install Lc Discussion in Codex?

Run `npx skills add yennanliu/CS_basics --skill lc-discussion -a codex`. Or copy the skill folder (.claude/skills/lc-discussion in yennanliu/CS_basics) into .agents/skills/lc-discussion in your project. Codex loads it when a task matches its description.

Can I use Lc Discussion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yennanliu/CS_basics --skill lc-discussion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lc-discussion, .gemini/skills/lc-discussion, .github/skills/lc-discussion and .opencode/skills/lc-discussion in your project.

What does Lc Discussion need to run?

Going by SKILL.md and its folder, Lc Discussion needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Glob, Grep, Bash.

Does Lc Discussion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lc Discussion safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Lc Discussion use?

No licence was found for Lc Discussion or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Lc Discussion use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lc Discussion?

Skills that share tags, products or a category with Lc Discussion: Leetcode Py (wislertt/leetcode-py, 142 stars), Handover (k1ein-chen/Harness-Starter, 119 stars), Diagram Design (cathrynlavery/diagram-design, 49k stars) and Simple English (moeru-ai/airi, 50k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lc Discussion?

yennanliu (a GitHub user) maintains it in yennanliu/CS_basics, which has 141 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 11, 2026.

Source: yennanliu/CS_basics on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.