PlugWiki

python-error-handling skill (wshobson): validation and exceptions that fail well

Makes your agent write Python with early input validation, clear exceptions and batch jobs that survive partial failures.

Installs
14.4K
on skills.sh
Stars
42.1K
on GitHub
Files
1
besides SKILL.md
Updated
Oct 2026
last repo commit

This skill gives your agent four rules: fail fast, use meaningful exceptions, handle partial failures and keep error context. It shows validation at API boundaries, converting strings to enums and domain types early, Pydantic models for complex input, and mapping failures to Python's built-in exception types.

It triggers when you write validation logic, design exception strategies, handle batch failures or build APIs that handle bad input. A reference file adds custom exceptions with context, exception chaining, batch results with partial failures and progress reporting.

Good for

  • Python developers building APIs that need clear error messages
  • Teams designing exception hierarchies for a service
  • Anyone writing batch jobs where one bad item should not stop the rest

Install python-error-handling

Claude Code

  1. 1

    Copy this prompt.

    Install the python-error-handling skill in Claude Code. Run this command:
    
    /plugin marketplace add wshobson/agents
    /plugin install python-development@claude-code-workflows
    
    Then check that it loaded and tell me how to use it.
  2. 2

    Paste it into Claude Code. It shows the change and asks before running it.

Plugin route: this is the README's own example. It adds the python-development plugin: the repo has 16 skills, 3 agents (django-pro, fastapi-pro, python-pro) and 1 command (python-scaffold) under it, and no hooks file or .mcp.json. Single-skill route: the README says the skills installers add a skill without the plugin's agents, commands or hooks.

From the project README. Source.

What's in the skill

When it loads

Python error handling patterns including input validation, exception hierarchies, and partial failure handling. Use when implementing validation logic, designing exception strategies, handling batch processing failures, or building robust APIs.

Sections in SKILL.md

  1. When to Use This Skill
  2. Core Concepts
  3. 1. Fail Fast
  4. 2. Meaningful Exceptions
  5. 3. Partial Failures
  6. 4. Preserve Context
  7. Quick Start
  8. Fundamental Patterns
  9. Pattern 1: Early Input Validation
  10. Pattern 2: Convert to Domain Types Early
  11. Pattern 3: Pydantic for Complex Validation
  12. Pattern 4: Map Errors to Standard Exceptions
  13. Detailed worked examples and patterns
  14. Best Practices Summary

Key facts

Installs on skills.sh
14,449 as of 2 Nov 2026
License
MIT
Last commit in the repo
2026-10-30

What it includes

  • Fail fast, meaningful exceptions, partial failures, preserve context

    The four ideas the rest of the skill builds on.

    Read · Core concepts

  • Check inputs at the boundary, before expensive work

    Raise ValueError with the field name and the bad value.

    Try: “Add input validation to process_order so it fails fast with clear messages.”

    Write · Pattern 1: early input validation

  • Parse strings into enums and typed objects early

    Example parse_output_format that lists the valid options in its error.

    Write · Pattern 2: convert to domain types

  • BaseModel with Field limits and field validators

    For structured input with automatic error details.

    Write · Pattern 3: Pydantic validation

  • ValueError, TypeError, KeyError, TimeoutError and others

    A table of failure types and the built-in exception for each.

    Read · Pattern 4: standard exceptions

  • Custom exceptions, chaining, batch results, progress callbacks

    ApiError with context, raise from e, a BatchResult type for partial failures, and a progress callback for long jobs.

    Write · Patterns 5 to 8 (references/details.md)

  • Ten rules, from validate early to test error paths

    Includes chaining exceptions, documenting failure modes and logging with context.

    Read · Best practices summary

From the official docs

Questions

What does the python-error-handling skill do?

It makes your agent write Python that validates input early, raises specific exceptions with context, chains errors and handles partial failures in batch work.

How do I install it?

Use the install box on this page: it offers the python-development plugin or this skill alone, and the skill folder is SKILL.md plus one reference file.

Does it need Pydantic?

Pattern 3 uses Pydantic models for complex input validation. The chaining example in the reference file imports httpx.

Which Python version does it assume?

The SKILL.md does not state one.

Is it safe to run?

It is a set of coding patterns and bundles no scripts. It changes the code it writes in your project, so review the diff as usual.

Information

updated Nov 2, 2026

Repository
wshobson/agents
Folder
plugins/python-development/skills/python-error-handling

wshobson/agentsskills.sh

Sources

Docs, issue trackers and discussions this page is built from.

Show all 3
  1. wshobson/agents README · github.com
  2. python-error-handling SKILL.md · github.com
  3. details.md · github.com

Updated Nov 2, 2026.