Use when building email features, emails going to spam, high bounce rates, setting up SPF/DKIM/DMARC authentication, implementing email capture, ensuring compliance (CAN-SPAM, GDPR, CASL), handling webhooks, retry logic, or deciding transactional vs marketing.
Use when building any system where email content triggers actions — AI agent inboxes, automated support handlers, email-to-task pipelines, or any workflow processing untrusted inbound email. Always use this skill when the user wants to receive emails and act on them programmatically, even if they don't mention "agent" — the skill contains critical security patterns (sender allowlists, content filtering, sandboxed processing) that prevent untrusted email from controlling your system.
Expert email management assistant for Apple Mail. Use this when the user mentions inbox management, email organization, email triage, inbox zero, organizing emails, managing mail folders, email productivity, checking emails, or email workflow optimization. Provides intelligent workflows and best practices for efficient email handling.
Email inboxes for AI agents - create addresses, send and receive email, manage threads
Draft high-response-rate cold emails to influential people using the 4-principle framework (competency, ask, transparency, effort). Use when the user wants to write a cold email, outreach email, pitch email, networking email, or reach out to someone important — investors, CEOs, founders, hiring managers, podcast hosts, potential collaborators, or anyone they don't know personally. Also use when the user mentions "cold email," "outreach," "reach out to," "pitch someone," "email a founder," "email an investor," or wants help contacting someone they admire or want to work with, even if they don't use the phrase "cold email.
Use this skill whenever you need to read or send messages via Signal or email. Triggers include: reading recent Signal messages or emails, querying messages by sender/subject/group, sending a message or email to self or others, listing email folders, or any interaction with the local messaging-daemon running on port 6000. If accounts are not yet configured, this skill explains how to set them up from scratch.
Master reference for sending emails that reach the inbox. Always load this skill first for any email-related task, it will orient you quickly and route you to the right sub-skill. Use it for: email sending setup, inbox placement, spam avoidance, domain reputation, email infrastructure, writing or reviewing email copy, diagnosing why emails go to spam, building email workflows, or advising on list management. If the task touches email in any way, start here before doing anything else. --- # Email Skills by AutoSend A modular skill set for AI agents writing, reviewing, or advising on email. The goal is inbox placement, not just sending. Every decision here connects back to that. This is the entry point. Read this first, then load the relevant sub-skill for deeper guidance on a specific topic. --- ## The Deliverability Stack Inbox placement depends on four pillars working together. A failure in any one of them can undo the other three. ``` 1. Authentication → Proves you are who you say you are 2. Sender Reputation → Proves you are a responsible sender 3. Content Quality → Proves your email is wanted 4. List Quality → Proves your recipients consented and are real ``` --- ## Sub-Skills (Load as Needed) | Topic | Sub-Skill | When to Use | | ------------------------------- | ------------------------------ | --------------------------------------------------- | | SPF, DKIM, DMARC, BIMI | `authentication/SKILL.md` | Setting up or debugging email authentication | | Subject lines, HTML, copy | `content/SKILL.md` | Writing or reviewing email content | | CAN-SPAM, GDPR, CASL | `compliance/SKILL.md` | Any question touching legal requirements or consent | | Validation, suppression, sunset | `list-hygiene/SKILL.md` | Managing contacts, bounces, or unsubscribes | | OTP, receipts, password reset | `t
skill-sample/ ├─ SKILL.md ⭐ Required: skill entry doc (purpose / usage / examples / deps) ├─ manifest.sample.json ⭐ Recommended: machine-readable metadata (index / validation / autofill) ├─ LICENSE.sample ⭐ Recommended: license & scope (open source / restriction / commercial) ├─ scripts/ │ └─ example-run.py ✅ Runnable example script for quick verification ├─ assets/ │ ├─ example-formatting-guide.md 🧩 Output conventions: layout / structure / style │ └─ example-template.tex 🧩 Templates: quickly generate standardized output └─ references/ 🧩 Knowledge base: methods / guides / best practices ├─ example-ref-structure.md 🧩 Structure reference ├─ example-ref-analysis.md 🧩 Analysis reference └─ example-ref-visuals.md 🧩 Visual reference
More Agent Skills specs Anthropic docs: https://agentskills.io/home
├─ ⭐ Required: YAML Frontmatter (must be at top) │ ├─ ⭐ name : unique skill name, follow naming convention │ └─ ⭐ description : include trigger keywords for matching │ ├─ ✅ Optional: Frontmatter extension fields │ ├─ ✅ license : license identifier │ ├─ ✅ compatibility : runtime constraints when needed │ ├─ ✅ metadata : key-value fields (author/version/source_url...) │ └─ 🧩 allowed-tools : tool whitelist (experimental) │ └─ ✅ Recommended: Markdown body (progressive disclosure) ├─ ✅ Overview / Purpose ├─ ✅ When to use ├─ ✅ Step-by-step ├─ ✅ Inputs / Outputs ├─ ✅ Examples ├─ 🧩 Files & References ├─ 🧩 Edge cases ├─ 🧩 Troubleshooting └─ 🧩 Safety notes
Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.
We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.
Quick Start:
Import/download skills (.zip/.skill), then place locally:
~/.claude/skills/ (Claude Code)
~/.codex/skills/ (Codex CLI)
One SKILL.md can be reused across tools.
Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.
A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.
Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.
Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.
This keeps agents lightweight while preserving enough context for complex tasks.
Use these three together:
Note: file size for all methods should be within 10MB.
Typical paths (may vary by local setup):
One SKILL.md can usually be reused across tools.
Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.
Example: retrieval + writing + automation scripts as one workflow.
Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.
Most common reasons:
We try to avoid that. Use ranking + comments to surface better skills:
