Agent skill

Python Backend

by WrongStack in WrongStack/WrongStack

Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup.

MITAuto-check passedBackend & APIs

Install Python Backend

skills CLI
$ npx skills add WrongStack/WrongStack --skill python-backend -a claude-code

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

GitHub CLI
$ gh skill install WrongStack/WrongStack python-backend --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/WrongStack/WrongStack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/python-backend .claude/skills/python-backend && 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
python-backend
GitHub stars
371
Token cost
~789 tokens
SKILL.md length
281 words
Files
1
Skills in repo
100
Repo updated
First seen
Licence
MIT

At a glance

Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup.

  • Works in 6 steps: Inspect pyproject/lockfile, interpreter,… → Validate incoming data and model output… → Keep blocking I/O and CPU work off async… → …
  • Working on FastAPI
  • SKILL.md covers Selection card, Overview, Rules and Workflow, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Python Backend is an agent skill from WrongStack/WrongStack. Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup. Use when working on FastAPI, Django or Python API/jobs; preserve the project framework and packaging workflow.

Its SKILL.md is about 790 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 Backend & APIs, covering Backend development. It works with Python, Django and FastAPI. The repository describes itself as: An AI coding agent that reads your code, edits files, runs commands, and reasons through bugs — across a terminal REPL, a full-screen TUI, and a browser UI, while you keep your… The licence is MIT.

When your agent uses it

  • Working on FastAPI
  • Python API/jobs
  • Preserve the project framework and packaging workflow

Example prompts

  • “/python-backend”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Inspect pyproject/lockfile, interpreter, environment and deployment entrypoint.
  2. Validate incoming data and model output contracts; static annotations do not validate JSON.
  3. Keep blocking I/O and CPU work off async request loops; cancellation must propagate to owned work.
  4. Scope database sessions/clients and transactions to the operation; cleanup must run on failure.
  5. Keep secrets/config and public serialization explicit; object authorization remains at the data operation.
  6. Do not replace the project package manager or migrate frameworks as an incidental feature change.

What it can do on your machine

Read from SKILL.md and the folder at commit a744bdc. 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

    Links to these hosts (documentation or services it may open):

    • python.org
    • fastapi.tiangolo.com
    • docs.djangoproject.com

    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 loads about 789 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 281 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~789

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 WrongStack/WrongStack at commit a744bdc, republished under its MIT licence (© WrongStack). 281 words, ~789 tokens.

Download SKILL.mdSave it as .claude/skills/python-backend/SKILL.md (or your agent's skills folder).
name
python-backend
description
Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup. Use when working on FastAPI, Django or Python API/jobs; preserve the project framework and packaging workflow.
trigger
Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup. Use when working on FastAPI, Django or Python…
version
1.0.1
required-capabilities
filesystem.read
optional-capabilities
filesystem.write, execution.shell, verification.run, web.research
metadata.routing-group
backend
metadata.domain
backend

Python Backend

Selection card

  • Task: Implement Python APIs and typed validation. / TR: Python API ve tipli doğrulama uygula.
  • Start: Locate the endpoint, schema, authentication boundary and caller.
  • Finish: apply the acceptance checks below; report observed results and unresolved constraints.

Overview

Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup.

Checked 2026-10-09: Python 3.15.0, FastAPI 0.143.0, Django 6.1.2 and uv 0.12.24. Verify framework/native-wheel/Python support before combining them; latest Python can lead package support.

Rules

  1. Inspect pyproject/lockfile, interpreter, environment and deployment entrypoint.
  2. Validate incoming data and model output contracts; static annotations do not validate JSON.
  3. Keep blocking I/O and CPU work off async request loops; cancellation must propagate to owned work.
  4. Scope database sessions/clients and transactions to the operation; cleanup must run on failure.
  5. Keep secrets/config and public serialization explicit; object authorization remains at the data operation.
  6. Do not replace the project package manager or migrate frameworks as an incidental feature change.

Workflow

  1. Trace the request/job path and current framework/environment conventions.
  2. Verify latest stable targets and support requirements; read migration notes.
  3. Implement the feature with typed/validated boundaries and explicit resource ownership.
  4. Test input/errors, database rollback, cancellation and application startup.
  5. Run configured formatting/lint/type/tests and the real service entrypoint.

Before returning

Interpreter/environment and compatibility clear; validation/async/resource semantics tested; framework/service checks reported.

Sources

Versioned facts checked 2026-10-09; refresh authoritative sources before new installs/upgrades. Python releases, FastAPI, Django.

Skills in scope

  • api-design — api design contracts and verification.
  • database-development — implement database access, models and queries with explicit consistency, transactions and bounded results.
  • queues-jobs — implement reliable asynchronous jobs and message consumers with explicit delivery, retry and shutdown semantics.
  • testing — testing contracts and verification.

© WrongStack, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/core/skills/python-backend of WrongStack/WrongStack.

Open the folder on GitHubat commit a744bdc

Compare with similar skills

Python Backend 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.

Python Backend compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Python Backend this skillWrongStack/WrongStack371—~789Automated safety check: PassMIT
Fix Slow Endpointvpcarlos/profyle123—~2.1kAutomated safety check: PassMIT
Framework Migration AssistantArabelaTso/Skills-4-SE253—~1.9kAutomated safety check: PassApache-2.0
Sentry Python SDKgetsentry/sentry-for-ai268—~4.1kAutomated safety check: PassApache-2.0
Python PatternsxenitV1/Antigravity-Workflows1307 repos~2.2kAutomated safety check: PassMIT
Python Appservice Deploymicrosoft/GitHub-Copilot-for-Azure2551 repos~688Automated safety check: PassMIT

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Categories

Questions about Python Backend

What does Python Backend do?

Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup. Python Backend is an agent skill from WrongStack/WrongStack. Build and upgrade Python services with explicit environments, validation, async boundaries and resource cleanup.

When should I use Python Backend?

Python Backend fits situations like: working on FastAPI; Python API/jobs; preserve the project framework and packaging workflow.

How do I install Python Backend in Claude Code?

Run `npx skills add WrongStack/WrongStack --skill python-backend -a claude-code`. Or copy the skill folder (packages/core/skills/python-backend in WrongStack/WrongStack) into .claude/skills/python-backend in your project. Claude Code loads it when a task matches its description.

How do I install Python Backend in Codex?

Run `npx skills add WrongStack/WrongStack --skill python-backend -a codex`. Or copy the skill folder (packages/core/skills/python-backend in WrongStack/WrongStack) into .agents/skills/python-backend in your project. Codex loads it when a task matches its description.

Can I use Python Backend 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 WrongStack/WrongStack --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 need to run?

SKILL.md names no scripts, command-line tools or credentials: Python Backend is instructions for the agent only. Our summary lists: Python 3.

Does Python Backend access the network?

SKILL.md names 3 domains. As links in the text: python.org, fastapi.tiangolo.com and docs.djangoproject.com. This is read from the text; nothing was executed.

Is Python Backend 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 use?

Python Backend is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Python Backend use?

About 789 tokens (SKILL.md is roughly 3.2k 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?

Skills that share tags, products or a category with Python Backend: 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 Python Patterns (xenitV1/Antigravity-Workflows, 130 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Python Backend?

WrongStack (a GitHub organization) maintains it in WrongStack/WrongStack, which has 371 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 10, 2026.

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