AI & Agent Development setups
Conversational Api Debugger vs Llm Wiki for AI & Agent Development
Comparing two Claude Code plugins for ai & agent development. Below: side-by-side facts, then a verdict you can disagree with.
Side by side
Debug REST API failures using OpenAPI specs and HTTP logs (HAR) - root cause analysis with cURL generation
Tags
mcpapirestai
- Author
- Jeremy Longshore
- Stars
- 2,143
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills && /plugin install conversational-api-debugger@claude-code-plugins-plus-skillsA second brain for Claude Code + Obsidian inspired by Karpathy's LLM Wiki gist. Turn any LLM CLI into a disciplined wiki maintainer: incrementally ingest sources into a persistent, interlinked markdown vault; update entity/concept/source pages; flag contradictions; maintain inde…
Tags
knowledgeaillm
- Author
- Alireza Rezvani
- Stars
- 14,217
- Updated
- May 2026
- Source
- GitHub
Install
/plugin marketplace add alirezarezvani/claude-skills && /plugin install llm-wiki@claude-skillsVerdict
Llm Wiki edges out Conversational Api Debugger for ai & agent development on this site's signals (tag fit, popularity, recency).
- Pick Conversational Api Debugger if your project leans on mcp.
- Pick Llm Wiki if you need stronger knowledge support.
Auto-generated from tag fit, popularity, recency, and featured status. Not a hand review.
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