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llm-input-engineering
SpencerPresley ★ 0
This plugin provides two skills for diagnosing and improving how prompts are compiled into actual LLM inputs across frameworks, adapters, and inference engines. It traces the full transformation pipeline from source artifacts through rendering, templates, and decoder constraints to identify misconfigurations that prose alone cannot fix.
Install
> /plugin marketplace add SpencerPresley/everyday-engineering-skills/tree/HEAD/plugins/llm-input-engineering
> /plugin install llm-input-engineering
What it's made of
2 skills
- Commands
- 0
- Agents
- 0
- Skills
- 2
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
Is this your plugin?
Claim it to keep the card accurate and enter the weekly contest. Requires signing in as the GitHub owner (SpencerPresley).