Keeper Stress Analysis
ClickHouse/ClickHouse
Analyze ClickHouse Keeper stress-test results from play.clickhouse.com / keeperstresstests data warehouse.
“用于算法面试出题；重点评估复杂度分析、边界处理和优化能力，区分背题与真实理解。”
Install Algorithm
$ npx skills add Snailclimb/interview-guide --skill algorithm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Snailclimb/interview-guide algorithm --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/Snailclimb/interview-guide.git skills-src && mkdir -p .claude/skills && cp -r skills-src/app/src/main/resources/skills/algorithm .claude/skills/algorithm && 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 "algorithm" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithm into .claude/skills/algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algorithm", 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/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithmType 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 Snailclimb/interview-guide --skill algorithm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Snailclimb/interview-guide algorithm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Snailclimb/interview-guide.git skills-src && mkdir -p .agents/skills && cp -r skills-src/app/src/main/resources/skills/algorithm .agents/skills/algorithm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "algorithm" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithm into .agents/skills/algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algorithm", 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 Snailclimb/interview-guide --skill algorithm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Snailclimb/interview-guide algorithm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Snailclimb/interview-guide.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/app/src/main/resources/skills/algorithm .cursor/skills/algorithm && 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 "algorithm" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithm into .cursor/skills/algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algorithm", 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/Snailclimb/interview-guide.git --path app/src/main/resources/skills/algorithm--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 Snailclimb/interview-guide --skill algorithm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Snailclimb/interview-guide algorithm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Snailclimb/interview-guide.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/app/src/main/resources/skills/algorithm .gemini/skills/algorithm && 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 "algorithm" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithm into .gemini/skills/algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algorithm", 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 Snailclimb/interview-guide algorithmInstalls 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 Snailclimb/interview-guide --skill algorithm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Snailclimb/interview-guide.git skills-src && mkdir -p .github/skills && cp -r skills-src/app/src/main/resources/skills/algorithm .github/skills/algorithm && 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 "algorithm" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithm into .github/skills/algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algorithm", 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 Snailclimb/interview-guide --skill algorithm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Snailclimb/interview-guide algorithm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Snailclimb/interview-guide.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/app/src/main/resources/skills/algorithm .opencode/skills/algorithm && 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 "algorithm" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/algorithm into .opencode/skills/algorithm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "algorithm", 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.
Facts
- Skill name
algorithm- GitHub stars
- 3.3k
- Token cost
- ~129 tokens
- SKILL.md length
- 18 words
- Files
- 2
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
- Works in 5 steps: 文字/语音面试不要求写代码；每题先让候选人口述：建模方式、关键数据结构、核心步骤、… → 数据结构必须覆盖多样性：哈希表、栈/队列、堆、树/图、数组/链表应轮换考察，避免只… → 回答正确后继续追问边界条件、退化场景和同类变体，不停在基础答案。 → …
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
About this skill
Algorithm is a skill in Snailclimb/interview-guide (3.3k stars). Its SKILL.md is about 129 tokens, with 1 other file in the folder. Licence: AGPL-3.0.
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 文字/语音面试不要求写代码；每题先让候选人口述：建模方式、关键数据结构、核心步骤、时间/空间复杂度。
- 数据结构必须覆盖多样性：哈希表、栈/队列、堆、树/图、数组/链表应轮换考察，避免只刷单一套路。
- 回答正确后继续追问边界条件、退化场景和同类变体，不停在基础答案。
- 对暴力解必须追问瓶颈，并要求给出可落地的优化路径（如剪枝、单调结构、预处理、空间换时间）。
- 至少一次要求候选人解释正确性证明思路（不变式/归纳/反证任一即可）。
What it can do on your machine
Read from SKILL.md and the folder at commit 969e2af. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
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
Algorithm loads about 129 tokens when it runs. Until then it costs about 12 tokens; SKILL.md has 18 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from Snailclimb/interview-guide at commit 969e2af, republished under its AGPL-3.0 licence (© Snailclimb). 18 words, ~129 tokens.
Download SKILL.mdSave it as
.claude/skills/algorithm/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- algorithm
- description
- 用于算法面试出题；重点评估复杂度分析、边界处理和优化能力，区分背题与真实理解。
Overview
你是一位算法面试官，目标是评估候选人的建模能力和复杂度优化能力。
Instructions
- 文字/语音面试不要求写代码；每题先让候选人口述：建模方式、关键数据结构、核心步骤、时间/空间复杂度。
- 数据结构必须覆盖多样性：哈希表、栈/队列、堆、树/图、数组/链表应轮换考察，避免只刷单一套路。
- 回答正确后继续追问边界条件、退化场景和同类变体，不停在基础答案。
- 对暴力解必须追问瓶颈，并要求给出可落地的优化路径（如剪枝、单调结构、预处理、空间换时间）。
- 至少一次要求候选人解释正确性证明思路（不变式/归纳/反证任一即可）。
Additional Resources
出题前优先参考这些资料，并按分类落题：
- ARRAY_LINKEDLIST/HASH_HEAP_QUEUE/TREE_GRAPH/DP/GREEDY_BACKTRACK/DESIGN -> algorithm-data-structures.md
© Snailclimb, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in app/src/main/resources/skills/algorithm of Snailclimb/interview-guide.
- SKILL.md
- skill.meta.yml
Open the folder on GitHubat commit 969e2af
Compare with similar skills
Algorithm 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 |
|---|---|---|---|---|---|---|
| Algorithm this skillSnailclimb/interview-guide | 3.3k | — | ~129 | Automated safety check: Pass | AGPL-3.0 | |
| Keeper Stress AnalysisClickHouse/ClickHouse | 50k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | |
| Perf ComparisonClickHouse/ClickHouse | 50k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | |
| Patch Release CheckClickHouse/ClickHouse | 50k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Evolving The Data ModelTriliumNext/Trilium | 38k | — | ~2.1k | Automated safety check: Pass | AGPL-3.0 | |
| Hybrid Cloud Outboxesgetsentry/sentry | 46k | — | ~4.8k | Automated safety check: Pass | Custom licence |
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Perf Comparison
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Patch Release Check
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Check whether ClickHouse's supported versions (last 3 majors + latest LTS) have recent stable patch releases, diagnose why the scheduled AutoReleases pipeline failed, and identify which releases…
Evolving The Data Model
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A skill your agent uses when adding a DB migration or a new column/field to a Becca entity in Trilium ("add a migration", "new column on notes/attributes", "ALTER TABLE", "add a field to…
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Hybrid Cloud Outboxes
getsentry/sentry
Guide for creating and maintaining outbox-based eventually consistent operations in Sentry.
- Official
Adaptive Spin Wait
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Selects Garnet spin-wait policies based on the slow-path cost.
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Related
Categories
Questions about Algorithm
How do I install Algorithm in Claude Code?
Run `npx skills add Snailclimb/interview-guide --skill algorithm -a claude-code`. Or copy the skill folder (app/src/main/resources/skills/algorithm in Snailclimb/interview-guide) into .claude/skills/algorithm in your project. Claude Code loads it when a task matches its description.
How do I install Algorithm in Codex?
Run `npx skills add Snailclimb/interview-guide --skill algorithm -a codex`. Or copy the skill folder (app/src/main/resources/skills/algorithm in Snailclimb/interview-guide) into .agents/skills/algorithm in your project. Codex loads it when a task matches its description.
Can I use Algorithm 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 Snailclimb/interview-guide --skill algorithm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/algorithm, .gemini/skills/algorithm, .github/skills/algorithm and .opencode/skills/algorithm in your project.
What does Algorithm need to run?
SKILL.md names no scripts, command-line tools or credentials: Algorithm is instructions for the agent only.
Does Algorithm 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 Algorithm safe to install?
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.
What licence does Algorithm use?
Algorithm is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Algorithm use?
About 129 tokens (SKILL.md is roughly 516 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 Algorithm?
Skills that share tags, products or a category with Algorithm: Keeper Stress Analysis (ClickHouse/ClickHouse, 50k stars), Perf Comparison (ClickHouse/ClickHouse, 50k stars), Patch Release Check (ClickHouse/ClickHouse, 50k stars) and Evolving The Data Model (TriliumNext/Trilium, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Algorithm?
Snailclimb (a GitHub user) maintains it in Snailclimb/interview-guide, which has 3,315 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 16, 2026.
Source: Snailclimb/interview-guide on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.