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draft-offer

Draft an offer letter with comp details and terms

Install / Use

npx skills add anthropics/knowledge-work-plugins --skill draft-offer

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

83/100

Supported Platforms

Universal

Tags

Our assessment of draft-offer

draft-offer scores 83/100 on our quality scale, 313th of 503 Content & Media skills we index.

Its SKILL.md is 2.3 KB long, well organised into 12 sections with 2 code examples: moderately detailed.

With 25,526 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
20/30
Structure
18/20
Description
8/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so draft-offer is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

draft-offer compared with similar skills

All 4 of these similar skills score higher than draft-offer; compare them before choosing.

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draft-offer (this skill)by anthropics8325.5k2d agoSKILL.md
siyuanby siyuan-note10046.5ktodayMCP Server
algorithmic-artby anthropics100177.9k4d agoSKILL.md
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designby nextlevelbuilder100130.2k5d agoSKILL.md

Frequently asked questions

How do I install draft-offer?
Run npx skills add anthropics/knowledge-work-plugins --skill draft-offer. The install tabs above show the steps for each supported agent.
Which AI agents does draft-offer work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is draft-offer safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is draft-offer still maintained?
The repository was last updated 2 days ago, so draft-offer is actively maintained.

name: draft-offer description: Draft 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. argument-hint: "<role and level>"

/draft-offer

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Draft a complete offer letter for a new hire.

Usage

/draft-offer $ARGUMENTS

What I Need From You

  • Role and title: What position?
  • Level: Junior, Mid, Senior, Staff, etc.
  • Location: Where will they be based? (affects comp and benefits)
  • Compensation: Base salary, equity, signing bonus (if applicable)
  • Start date: When should they start?
  • Hiring manager: Who will they report to?

If you don't have all details, I'll help you think through them.

Output

## Offer Letter Draft: [Role] — [Level]

### Compensation Package
| Component | Details |
|-----------|---------|
| **Base Salary** | $[X]/year |
| **Equity** | [X shares/units], [vesting schedule] |
| **Signing Bonus** | $[X] (if applicable) |
| **Target Bonus** | [X]% of base (if applicable) |
| **Total First-Year Comp** | $[X] |

### Terms
- **Start Date**: [Date]
- **Reports To**: [Manager]
- **Location**: [Office / Remote / Hybrid]
- **Employment Type**: [Full-time, Exempt]

### Benefits Summary
[Key benefits highlights relevant to the candidate]

### Offer Letter Text

Dear [Candidate Name],

We are pleased to offer you the position of [Title] at [Company]...

[Complete offer letter text]

### Notes for Hiring Manager
- [Negotiation guidance if needed]
- [Comp band context]
- [Any flags or considerations]

If Connectors Available

If ~~HRIS is connected:

  • Pull comp band data for the level/role
  • Verify headcount approval
  • Auto-populate benefits details

If ~~ATS is connected:

  • Pull candidate details from the application
  • Update offer status in the pipeline

Tips

  1. Include total comp — Candidates compare total compensation, not just base.
  2. Be specific about equity — Share count, current valuation method, vesting schedule.
  3. Personalize — Reference something from the interview process to make it warm.

Related Skills

View on GitHub
GitHub Stars25.5k
CategoryContent
Updated2d ago
Forks3.0k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions