Fix Slow Endpoint
vpcarlos/profyle
Diagnose and fix a slow endpoint or request in a Python web app (FastAPI, Flask, Django, Tornado, any ASGI/WSGI framework) using real Profyle/VizTracer traces, then prove the fix by replaying the…
Acts as a Python backend interviewer, setting practical questions on Python basics, databases, Django and Flask, caching and deployment, with follow-ups on real production work.
SKILL.md written in Chinese; this summary is our English description.
Install Python Backend Interview Questions
$ npx skills add Snailclimb/interview-guide --skill python-backend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Snailclimb/interview-guide python-backend --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/python-backend .claude/skills/python-backend && 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 "python-backend" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/python-backend into .claude/skills/python-backend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-backend", 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/python-backendType 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 python-backend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Snailclimb/interview-guide python-backend --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/python-backend .agents/skills/python-backend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-backend" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/python-backend into .agents/skills/python-backend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-backend", 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 python-backend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Snailclimb/interview-guide python-backend --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/python-backend .cursor/skills/python-backend && 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 "python-backend" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/python-backend into .cursor/skills/python-backend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-backend", 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/python-backend--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 python-backend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Snailclimb/interview-guide python-backend --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/python-backend .gemini/skills/python-backend && 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 "python-backend" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/python-backend into .gemini/skills/python-backend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-backend", 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 python-backendInstalls 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 python-backend -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/python-backend .github/skills/python-backend && 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 "python-backend" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/python-backend into .github/skills/python-backend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-backend", 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 python-backend -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 python-backend --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/python-backend .opencode/skills/python-backend && 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 "python-backend" agent skill from https://github.com/Snailclimb/interview-guide/tree/master/app/src/main/resources/skills/python-backend into .opencode/skills/python-backend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-backend", 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
python-backend- GitHub stars
- 3.3k
- Token cost
- ~119 tokens
- SKILL.md length
- 26 words
- Files
- 2
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Acts as a Python backend interviewer, setting practical questions on Python basics, databases, Django and Flask, caching and deployment, with follow-ups on real production work.
- Works in 4 steps: 优先考察框架实践、数据库设计、缓存策略与部署经验。 → 每道题都要可追问，尤其关注并发、一致性和故障恢复。 → 回答如果仅停留在语法层面，必须追问工程实现细节。 → …
- Preparing question sets for a Python backend interview
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Probing a candidate's real engineering experience beyond language syntax
What it does
This short skill, written in Chinese, sets the agent up as an interviewer who checks whether a candidate can build and run a backend service alone. Questions are weighted toward framework practice, database design, cache strategy and deployment experience, and each one should leave room for follow-ups, especially on concurrency, consistency and failure recovery.
If an answer stays at the level of syntax, the agent is told to press for engineering detail, and at least once it asks the candidate to describe a real production problem and the steps taken to diagnose it. Questions are filed under five categories: Python basics, database, Django and Flask, cache (Redis), and deployment or project depth, the last drawn from the candidate's resume and release process.
When your agent uses it
- Preparing question sets for a Python backend interview
- Probing a candidate's real engineering experience beyond language syntax
- Interviewing for roles that run Django or Flask services with databases and caching
Example prompts
- “Write ten questions for a mid-level Python backend interview, focused on Django and Redis.”
- “Generate follow-up questions on concurrency and consistency for a candidate who answered a caching question only at syntax level.”
- “Prepare an interview round on deployment experience based on this candidate's resume.”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- 优先考察框架实践、数据库设计、缓存策略与部署经验。
- 每道题都要可追问，尤其关注并发、一致性和故障恢复。
- 回答如果仅停留在语法层面，必须追问工程实现细节。
- 至少一次要求候选人描述真实线上问题和排障步骤。
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
Python Backend Interview Questions loads about 119 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 26 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). 26 words, ~119 tokens.
Download SKILL.mdSave it as
.claude/skills/python-backend/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- python-backend
- description
- 用于 Python 后端面试出题；覆盖 Python 基础、数据库、Django/Flask、缓存与部署，强调工程落地。
Overview
你是一位 Python 后端面试官，关注候选人是否具备独立构建和运维服务的能力。
Instructions
- 优先考察框架实践、数据库设计、缓存策略与部署经验。
- 每道题都要可追问，尤其关注并发、一致性和故障恢复。
- 回答如果仅停留在语法层面，必须追问工程实现细节。
- 至少一次要求候选人描述真实线上问题和排障步骤。
Additional Resources
出题前优先参考这些资料，并按分类落题：
- PYTHON_BASIC -> python-basic.md
- DATABASE -> database.md
- DJANGO_FLASK -> django-flask.md
- CACHE -> redis.md
- DEPLOY/PROJECT -> 结合简历与上线流程深挖
© 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/python-backend of Snailclimb/interview-guide.
- SKILL.md
- skill.meta.yml
Open the folder on GitHubat commit 969e2af
Compare with similar skills
Python Backend Interview Questions 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 |
|---|---|---|---|---|---|---|
| Python Backend Interview Questions this skillSnailclimb/interview-guide | 3.3k | — | ~119 | Automated safety check: Pass | AGPL-3.0 | |
| Fix Slow Endpointvpcarlos/profyle | 123 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Framework Migration AssistantArabelaTso/Skills-4-SE | 253 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Sentry Python SDKgetsentry/sentry-for-ai | 268 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Funboost Faas Deployydf0509/funboost | 892 | — | ~956 | Automated safety check: Pass | None | |
| Python PatternsxenitV1/Antigravity-Workflows | 130 | 7 repos | ~2.2k | Automated safety check: Pass | MIT |
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Categories
Questions about Python Backend Interview Questions
What does Python Backend Interview Questions do?
Acts as a Python backend interviewer, setting practical questions on Python basics, databases, Django and Flask, caching and deployment, with follow-ups on real production work. This short skill, written in Chinese, sets the agent up as an interviewer who checks whether a candidate can build and run a backend service alone. Questions are weighted toward framework practice, database design, cache strategy and deployment experience, and each one should leave room for follow-ups, especially on concurrency, consistency and failure recovery.
When should I use Python Backend Interview Questions?
Python Backend Interview Questions fits situations like: preparing question sets for a Python backend interview; probing a candidate's real engineering experience beyond language syntax; interviewing for roles that run Django or Flask services with databases and caching.
How do I install Python Backend Interview Questions in Claude Code?
Run `npx skills add Snailclimb/interview-guide --skill python-backend -a claude-code`. Or copy the skill folder (app/src/main/resources/skills/python-backend in Snailclimb/interview-guide) into .claude/skills/python-backend in your project. Claude Code loads it when a task matches its description.
How do I install Python Backend Interview Questions in Codex?
Run `npx skills add Snailclimb/interview-guide --skill python-backend -a codex`. Or copy the skill folder (app/src/main/resources/skills/python-backend in Snailclimb/interview-guide) into .agents/skills/python-backend in your project. Codex loads it when a task matches its description.
Can I use Python Backend Interview Questions 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 python-backend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-backend, .gemini/skills/python-backend, .github/skills/python-backend and .opencode/skills/python-backend in your project.
What does Python Backend Interview Questions need to run?
SKILL.md names no scripts, command-line tools or credentials: Python Backend Interview Questions is instructions for the agent only.
Does Python Backend Interview Questions 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 Python Backend Interview Questions 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 Python Backend Interview Questions use?
Python Backend Interview Questions 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 Python Backend Interview Questions use?
About 119 tokens (SKILL.md is roughly 476 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 Python Backend Interview Questions?
Skills that share tags, products or a category with Python Backend Interview Questions: Fix Slow Endpoint (vpcarlos/profyle, 123 stars), Framework Migration Assistant (ArabelaTso/Skills-4-SE, 253 stars), Sentry Python SDK (getsentry/sentry-for-ai, 268 stars) and Funboost Faas Deploy (ydf0509/funboost, 892 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Backend Interview Questions?
Snailclimb (a GitHub user) maintains it in Snailclimb/interview-guide, which has 3,312 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.