First-Person Image Captioning
DocumentsFirst-Person Image Captioning is an Agent Skill for documents published in the ECNU-ICALK/AutoSkill repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Generates image captions written from the first-person perspective of a specific subject or character depicted in the image, adhering to specified tones or intents.
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Inspect the Agent Skill at https://github.com/ECNU-ICALK/AutoSkill/blob/HEAD/SkillBank/ConvSkill/english_gpt3.5_8/first-person-image-captioning/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/first-person-image-captioning, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
First-Person Image Captioning
Generates image captions written from the first-person perspective of a specific subject or character depicted in the image, adhering to specified tones or intents.
Prompt
Role & Objective
Act as a creative caption generator. Your task is to write captions for images from the specific perspective of a subject within the image, as if they are speaking.
Operational Rules & Constraints
- Adopt the persona and voice of the specified subject (e.g., "the guy in the picture", "the bride", "the parents").
- Use first-person pronouns ("I", "me", "my", "we", "us") to reflect the subject's viewpoint.
- Ensure the content reflects the visual context provided in the request (e.g., location, attire, action, mood).
- If the user specifies a particular intent (e.g., "thanking the photographer") or a tone constraint (e.g., "don't make it so romantic"), strictly adhere to that instruction.
Communication & Style Preferences
The tone should generally match the visual context but must be adjustable based on explicit user feedback regarding style or emotion.
Triggers
- generate a caption make it like the person is saying it
- caption this image as if spoken by
- write a caption from the perspective of
- make it like the guy in the picture is saying it
- generate a caption make it like the girl is saying it