email-drafter
Skill0 starsChanged 5 months agoNo licenceView on GitHub
Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- github/awesome-copilotword for word, first seen Oct 25, 2026
- genspark-ai/genofficetheir own version, first seen Oct 25, 2026
- ARCASSystems/FounderOStheir own version, first seen Oct 24, 2026
- schuligan/claude-skills-collectiontheir own version, first seen Oct 13, 2026
- blair-keck/claude-skillstheir own version, first seen Oct 13, 2026
- Hassaan146/claude-skillstheir own version, first seen Jul 25, 2026
Other versions9 projects use a version of this.
Word for word · 1
- github/awesome-copilot★ 41k100% same
Edited · 0
None found.
Wrote their own version · 8
- genspark-ai/genoffice★ 12ksame name
- claude-office-skills/skills★ 433same name
- Hassaan146/claude-skills★ 18same name
- ARCASSystems/FounderOS★ 7same name
- xcrrr/claude-skills★ 6same name
- blair-keck/claude-skills★ 0same name
- pb-jwhitlock/claude-skills★ 0same name
- schuligan/claude-skills-collection★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository204 other files it gives its agents.
- agents.mdAGENTS.md
- AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- a11ySkill
- agent-protocolsSkill
- ai-safetySkill
- architectureSkill
- boot-sequenceSkill
- ci-cdSkill
- containerizationSkill
- cto-playbookSkill
- designSkill
- git-protocolSkill
- implementationSkill
- orchestrationSkill
- performanceSkill
- planningSkill
- qaSkill
- sdlc-lifecycleSkill
- sdlcSkill
- securitySkill
- testingSkill
- ticket-systemSkill
- a11ySkill
- acquire-codebase-knowledgeSkill
- add-educational-commentsSkill
- agent-governanceSkill
- agentic-evalSkill
- agent-owasp-complianceSkill
- agent-protocolsSkill
- agent-supply-chainSkill
- ai-prompt-engineering-safety-reviewSkill
- ai-safetySkill
- apple-appstore-reviewerSkill
- architecture-blueprint-generatorSkill
- architectureSkill
- automate-thisSkill
- autoresearchSkill
- boost-promptSkill
- boot-sequenceSkill
- breakdown-epic-archSkill
- breakdown-epic-pmSkill
- breakdown-feature-implementationSkill
- breakdown-feature-prdSkill
- breakdown-planSkill
- breakdown-testSkill
- ci-cdSkill
- cloud-design-patternsSkill
- code-exemplars-blueprint-generatorSkill
- codeqlSkill
- code-tourSkill
- containerizationSkill
- context-mapSkill
- conventional-commitSkill
- convert-plaintext-to-mdSkill
- copilot-instructions-blueprint-generatorSkill
- copilot-spacesSkill
- copilot-usage-metricsSkill
- create-agentsmdSkill
- create-architectural-decision-recordSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
8
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.