API Error Taxonomy
SkillDev toolsDefine consistent API error codes and responses. Use when a mid-level developer needs error standardization.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the API Error Taxonomy skill
What this skill tells your AI
The instructions your AI receives, as published by proflead/codex-skills-library in skills/api/api-error-taxonomy/SKILL.md and read by ahel’s review.
Purpose
Define consistent API error codes and responses.
Inputs to request
- Current error responses and status usage.
- Client expectations for retries and messaging.
- Logging and observability requirements.
Workflow
- List common error categories and HTTP mappings.
- Define error payload shape and fields.
- Set guidelines for logging and client messaging.
Output
- Error taxonomy table and examples.
Quality bar
- Ensure errors are machine-parseable.
- Align retryable vs non-retryable semantics.
Signals
- GitHub stars
- 144
- Forks
- 30
- Last commit
- Jul 2026
Advanced
- Catalog kind
- skill
- Gateway key
api-error-taxonomy- Source
- github.com/proflead/codex-skills-library