Domodomo Backend Fastapi
darknecrocities/DomoDomo---All-in-one-Tool
Maintain DomoDomo’s local FastAPI application, routers, SQLite models, local services, and Python utilities.
生成标准 FastAPI 后端分层架构目录脚手架。当用户需要从零搭建 FastAPI 后端、重构后端目录结构、或创建新的后端项目时触发此技能。技能内置 LLM 多模型客户端(支持重试、流式、备用切换)、会话级日志、SQLite 数据访问层、SSE 流式 API 示例等生产级模板代码,一键生成完整可运行的后端骨架。触发场景包括"搭建后端"、"创建 FastAPI…
$ npx skills add 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install 5zjk5/prompt-engineering fastapi-backend-scaffold --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/5zjk5/prompt-engineering.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skill/fastapi-backend-scaffold .claude/skills/fastapi-backend-scaffold && 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 "fastapi-backend-scaffold" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffold into .claude/skills/fastapi-backend-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastapi-backend-scaffold", 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/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffoldType 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 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install 5zjk5/prompt-engineering fastapi-backend-scaffold --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Skill/fastapi-backend-scaffold .agents/skills/fastapi-backend-scaffold && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fastapi-backend-scaffold" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffold into .agents/skills/fastapi-backend-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastapi-backend-scaffold", 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 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install 5zjk5/prompt-engineering fastapi-backend-scaffold --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Skill/fastapi-backend-scaffold .cursor/skills/fastapi-backend-scaffold && 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 "fastapi-backend-scaffold" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffold into .cursor/skills/fastapi-backend-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastapi-backend-scaffold", 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/5zjk5/prompt-engineering.git --path Skill/fastapi-backend-scaffold--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 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install 5zjk5/prompt-engineering fastapi-backend-scaffold --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Skill/fastapi-backend-scaffold .gemini/skills/fastapi-backend-scaffold && 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 "fastapi-backend-scaffold" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffold into .gemini/skills/fastapi-backend-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastapi-backend-scaffold", 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 5zjk5/prompt-engineering fastapi-backend-scaffoldInstalls 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 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .github/skills && cp -r skills-src/Skill/fastapi-backend-scaffold .github/skills/fastapi-backend-scaffold && 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 "fastapi-backend-scaffold" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffold into .github/skills/fastapi-backend-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastapi-backend-scaffold", 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 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install 5zjk5/prompt-engineering fastapi-backend-scaffold --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/5zjk5/prompt-engineering.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Skill/fastapi-backend-scaffold .opencode/skills/fastapi-backend-scaffold && 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 "fastapi-backend-scaffold" agent skill from https://github.com/5zjk5/prompt-engineering/tree/master/Skill/fastapi-backend-scaffold into .opencode/skills/fastapi-backend-scaffold/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastapi-backend-scaffold", 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.
fastapi-backend-scaffold生成标准 FastAPI 后端分层架构目录脚手架。当用户需要从零搭建 FastAPI 后端、重构后端目录结构、或创建新的后端项目时触发此技能。技能内置 LLM 多模型客户端(支持重试、流式、备用切换)、会话级日志、SQLite 数据访问层、SSE 流式 API 示例等生产级模板代码,一键生成完整可运行的后端骨架。触发场景包括"搭建后端"、"创建 FastAPI…
Fastapi Backend Scaffold is an agent skill from 5zjk5/prompt-engineering. 生成标准 FastAPI 后端分层架构目录脚手架。当用户需要从零搭建 FastAPI 后端、重构后端目录结构、或创建新的后端项目时触发此技能。技能内置 LLM 多模型客户端(支持重试、流式、备用切换)、会话级日志、SQLite 数据访问层、SSE 流式 API 示例等生产级模板代码,一键生成完整可运行的后端骨架。触发场景包括"搭建后端"、"创建 FastAPI 项目"、"重构后端架构"、"生成后端目录"等。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts, reference files and assets (for example `assets/llm/__init__.py`, `assets/llm/client.py` and `assets/llm/llm_config.py`).
It sits in Backend & APIs, covering Backend development. It works with FastAPI and SQLite.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit e563dd1. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fastapi Backend Scaffold loads about 1.3k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 252 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
2. 复制环境变量:`cp .env.example .env` 并按需修改所有配置从 `.env` 读取,集中在文件顶部定义。目录路径基于 `__file__` 相对计算,不依赖工作目录。模块加载时自动创建所需目录。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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 252 words (~1,300 tokens).
“本技能用于生成标准 FastAPI 后端分层架构目录脚手架。架构源自生产级 ChatExcel 项目,经过实际验证,包含多模型容错、会话级日志、SSE 流式响应等生产级特性。”
SKILL.md and 12 other files (scripts, references, assets) in Skill/fastapi-backend-scaffold of 5zjk5/prompt-engineering.
Open the folder on GitHubat commit e563dd1
Fastapi Backend Scaffold 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 |
|---|---|---|---|---|---|---|
| Fastapi Backend Scaffold this skill5zjk5/prompt-engineering | 127 | — | ~1.3k | Automated safety check: Notes | None | |
| Domodomo Backend Fastapidarknecrocities/DomoDomo---All-in-one-Tool | 239 | — | ~17k | Automated safety check: Pass | None | |
| Junta Leiloeirossickn33/agentic-awesome-skills | 47k | 2 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Junta Leiloeirosdiegosouzapw/awesome-omni-skills | 159 | — | ~3.7k | Automated safety check: Pass | MIT | |
| Fastcrudbenavlabs/fastcrud | 1.6k | — | ~5k | Automated safety check: Pass | MIT | |
| FastapiOpen-TutorAi/open-tutor-ai-CE | 108 | 2 repos | ~2.6k | Automated safety check: Pass | BSD-3-Clause |
darknecrocities/DomoDomo---All-in-one-Tool
Maintain DomoDomo’s local FastAPI application, routers, SQLite models, local services, and Python utilities.
sickn33/agentic-awesome-skills
Coleta e consulta dados de leiloeiros oficiais de todas as 27 Juntas Comerciais do Brasil.
diegosouzapw/awesome-omni-skills
Skill: Leiloeiros das Juntas Comerciais do Brasil workflow skill.
benavlabs/fastcrud
A skill your agent uses when building or modifying CRUD endpoints with FastCRUD (the fastcrud PyPI package) in a FastAPI project — covers FastCRUD, crudrouter, EndpointCreator, FilterConfig…
Open-TutorAi/open-tutor-ai-CE
FastAPI best practices and conventions. An agent skill from Open-TutorAi/open-tutor-ai-CE.
polarsource/polar
Review changes to Polar's API contract — Pydantic schemas, FastAPI endpoints, OpenAPI output and the generated SDKs.
5zjk5/prompt-engineering
This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations.
5zjk5/prompt-engineering
Deploy static websites to BytePlus Edge Pages with CDN. An agent skill from 5zjk5/prompt-engineering.
5zjk5/prompt-engineering
当用户需要编写LangChain或LangGraph相关代码时,提供基于示例代码的编码辅助,包括RAG、Agent、工作流、工具定义、中间件等多种功能模块的实现指导。
5zjk5/prompt-engineering
代码仓库梳理与项目文档生成技能。当用户明确要求梳理项目或使用项目梳理功能时触发此技能。典型触发场景包括"帮我梳理这个项目"、"梳理一下这个代码仓"、"使用项目梳理"等。此技能读取项目代码仓,按照结构化模板生成完整的项目梳理 Markdown 文档。
Categories
生成标准 FastAPI 后端分层架构目录脚手架。当用户需要从零搭建 FastAPI 后端、重构后端目录结构、或创建新的后端项目时触发此技能。技能内置 LLM 多模型客户端(支持重试、流式、备用切换)、会话级日志、SQLite 数据访问层、SSE 流式 API 示例等生产级模板代码,一键生成完整可运行的后端骨架。触发场景包括"搭建后端"、"创建 FastAPI…. Fastapi Backend Scaffold is an agent skill from 5zjk5/prompt-engineering.
Fastapi Backend Scaffold fits situations like: tasks that involve Backend development.
Run `npx skills add 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a claude-code`. Or copy the skill folder (Skill/fastapi-backend-scaffold in 5zjk5/prompt-engineering) into .claude/skills/fastapi-backend-scaffold in your project. Claude Code loads it when a task matches its description.
Run `npx skills add 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a codex`. Or copy the skill folder (Skill/fastapi-backend-scaffold in 5zjk5/prompt-engineering) into .agents/skills/fastapi-backend-scaffold in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add 5zjk5/prompt-engineering --skill fastapi-backend-scaffold -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fastapi-backend-scaffold, .gemini/skills/fastapi-backend-scaffold, .github/skills/fastapi-backend-scaffold and .opencode/skills/fastapi-backend-scaffold in your project.
Going by SKILL.md and its folder, Fastapi Backend Scaffold needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Fastapi Backend Scaffold or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Fastapi Backend Scaffold: Domodomo Backend Fastapi (darknecrocities/DomoDomo---All-in-one-Tool, 239 stars), Junta Leiloeiros (sickn33/agentic-awesome-skills, 47k stars), Junta Leiloeiros (diegosouzapw/awesome-omni-skills, 159 stars) and Fastcrud (benavlabs/fastcrud, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
5zjk5 (a GitHub user) maintains it in 5zjk5/prompt-engineering, which has 127 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 15, 2026.
Source: 5zjk5/prompt-engineering on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.