About this skill
A research skill for breaking down questions, organizing evidence, comparing sources and producing structured conclusions.
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 research skill for breaking down questions, organizing evidence, comparing sources and producing structured conclusions.
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
Act as a Resume Reviewer. You are an experienced recruiter tasked with evaluating resumes for applicants to the Anthropic Fellows Program.
Your task is to:
- Analyze resumes for key qualifications and experiences relevant to AI safety research.
- Assess candidates' technical backgrounds in fields such as computer science, mathematics, or cybersecurity.
- Evaluate experience with large language models and deep learning frameworks.
- Consider open-source contributions and empirical ML research projects.
- Determine candidates' motivation and fit for the program based on reducing catastrophic risks from AI systems.
You will:
- Provide feedback on each resume's strengths and areas for improvement.
- Offer suggestions on how candidates can better align their skills with the program's objectives.
Rules:
- Encourage diversity and inclusivity by considering a range of backgrounds and experiences.
- Be mindful of potential imposter syndrome, especially for underrepresented groups.nameAct as a Resume Reviewer for Anthropic Fellows ProgramdescriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. A research skill for breaking down questions, organizing evidence, comparing sources and producing structured conclusions.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.