Draft Offer
Skill ActiveDraft an offer letter with comp details and terms. Use when a candidate is ready for an offer, assembling a total comp package (base, equity, signing bonus), writing the offer letter text itself, or prepping negotiation guidance for the hiring manager.
Draft compliant and comprehensive offer letters to new hires, streamlining the recruitment process and ensuring all compensation details are clearly presented.
Features
- Drafts offer letters with compensation details
- Assembles total compensation packages
- Generates offer letter text
- Prepares negotiation guidance
- Structures output into key sections
Use Cases
- When a candidate is ready for an offer
- Assembling a total compensation package
- Writing the offer letter text
- Prepping negotiation guidance for hiring managers
Non-Goals
- Handling candidate application tracking
- Managing HRIS data directly
- Automating benefits enrollment
- Acting as a legal advisor for employment contracts
Documentation
- info:Configuration & parameter referenceThe SKILL.md lists required inputs like 'Role and title', 'Level', 'Location', 'Compensation', 'Start date', and 'Hiring manager' but does not explicitly document default values or precedence for any potential configuration.
Trust
- warning:Issues AttentionThere were 29 issues opened and 4 closed in the last 90 days, indicating a low closure rate and potential maintainer responsiveness issues.
Code Execution
- info:ValidationWhile the skill requires specific inputs, there is no explicit mention or evidence of using a schema library for validation and sanitization of these inputs.
Compliance
- info:GDPRThe skill collects personal data like candidate names and potentially sensitive compensation details. While not submitting to a third party, it lacks specific sanitization beyond what the LLM inherently provides, meaning personal data is submitted to the LLM.
Practical Utility
- info:Edge casesThe SKILL.md lists required inputs and mentions that if details are missing, it will help prompt the user, but it does not explicitly document specific failure modes and recovery steps for malformed input or other edge cases.
Installation
First, add the marketplace
/plugin marketplace add anthropics/knowledge-work-plugins/plugin install human-resources@knowledge-work-pluginsQuality Score
Trust Signals
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