Agent task brief
A task prompt with context, source material, scope, and a clear definition of done.
Skills, prompts, templates and checklists for work. Choose a resource, share it with your agent or download the complete file.
A task prompt with context, source material, scope, and a clear definition of done.
A concise starting point for project structure, real commands, and completion criteria.
Track which claim relies on which source, including dates and disagreements.
Define observable success, errors, empty states, and data preservation.
Define a hypothesis, metric, constraints, and decision rule before running a test.
Hand work to another person or agent with state, decisions, files, and a next step.
Check the environment, GPU, weights and chest CT encoding before running the model. An original planning template; CT-CHAT is a research model, not an agent skill.
Separate library setup, checkpoint downloads and model-generated text for one public sample. An original research template, not a Merlin agent skill.
Extract its folder into .agents/skills in your Codex project. Each skill folder contains SKILL.md. Select it in the interface; in CLI and IDE you can invoke it with $skill-name.
Each resource includes an example prompt. Supply your files, constraints, and expected result. Templates and checklists can be used directly in a chat.
Compare the output with your source material and adapt the instructions to your workflow. A skill guides the work; your agent provides file, browser, and other tool access.
Format and installation: OpenAI — Build skills ↗ · Checked September 6, 2026