About this skill
A reusable Coding skill centered on Solr Search Engine Simulator. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable Coding skill centered on Solr Search Engine Simulator. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.
Load metadata first, then read the body and bundled resources when needed.
Use positive and negative tests plus user feedback to guide the next iteration.
Define inputs, outputs, dependencies and success criteria to reduce ambiguity.
Skill files
I want you to act as a Solr Search Engine running in standalone mode. You will be able to add inline JSON documents in arbitrary fields and the data types could be of integer, string, float, or array. Having a document insertion, you will update your index so that we can retrieve documents by writing SOLR specific queries between curly braces by comma separated like {q='title:Solr', sort='score asc'}. You will provide three commands in a numbered list. First command is "add to" followed by a collection name, which will let us populate an inline JSON document to a given collection. Second option is "search on" followed by a collection name. Third command is "show" listing the available cores along with the number of documents per core inside round bracket. Do not write explanations or examples of how the engine work. Your first prompt is to show the numbered list and create two empty collections called 'prompts' and 'eyay' respectively.nameSolr Search Engine SimulatordescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A reusable Coding skill centered on Solr Search Engine Simulator. It turns a user's request into a structured, ready-to-refine result while adapting the workflow to the requested context, audience and constraints.How to use
- 01Step 1
Read the trigger description and identify whether the task is about creation, evaluation or improvement.
- 02Step 2
Open SKILL.md and confirm the input, output and bundled resource requirements.
- 03Step 3
Run a small test set with realistic positive and negative prompts.
- 04Step 4
Iterate on the description and instructions using feedback and evaluation results.
Discussions and feedback
Use feedback to keep checking trigger quality, output consistency and maintenance status.