About this skill
A reusable General skill centered on Corporate Knowledge Extraction & Agent Training. 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 General skill centered on Corporate Knowledge Extraction & Agent Training. 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
${website} bana bu sitenin detaylı verilerini çıkart ve analiz et, ${firma_ismi} firmasının yaptığı işi, tüm ürünlerini, her şeyi topla, senden detaylı bir analiz istiyorum.${firma_ismi} için çalışan bir müşteri temsilcisini eğitecek kadar detaylı olmalı ve bunu bana bir pdf olarak vernameCorporate Knowledge Extraction & Agent TrainingdescriptionUse 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 General skill centered on Corporate Knowledge Extraction & Agent Training. 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.