Write Outreach Outreach Qa logo

Write Outreach Outreach Qa

OrganizationPopular
gooseworks-ai
write-outreach-outreach-qa

Step of the write-outreach playbook: the checks a finished outreach pack and send file must pass before delivery, covering facts, proof, compliance, length, asks and tone. Run write-outreach instead; not for direct use.

Overview

Publishergooseworks-ai
Repositorygoose-skills
Skill namewrite-outreach-outreach-qa
Stars
1.3K
Forks
219
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by gooseworks-ai on GitHub. Read the source before you install it.

Installation

Install the Write Outreach Outreach Qa AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/write-outreach-outreach-qa
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git /tmp/goose-skills
mkdir -p .claude/skills
cp -r /tmp/goose-skills/skills/marketing/write-outreach-outreach-qa .claude/skills/write-outreach-outreach-qa
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Write Outreach Outreach Qa in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Write Outreach Outreach Qa on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Write Outreach Outreach Qa is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

outreach-qa

Run on the whole pack and the send file. Fix every failure, then run again. Nothing about the check goes into the pack itself.

Facts and proof

  • Every first line rests on its row's signal or hook URL and date (signal_1_date / hook_date); the fact still says that (a sample of 5 rows re-checked by link, or every row when under 10).
  • No invented compliment, mutual connection, number, customer, result, peer story, "brands like X", "most teams we talk to". Every proof line went through claims-gate; cuts are listed with the proof that would restore them.
  • Prices and product facts match the brand's site or brain, with the date read.

Compliance

  • Each email has the sender's name and company, a postal address placeholder the marketer fills once, and the opt-out line.
  • Row rules applied: no email body for UK-soletrader (letter instead), non-published CASL / AU-NZ, Germany/Austria rows; unchecked and catch-all addresses sit in email_to_check, never email; EU and unknown-country first emails carry the source-and-object line; the one-line country summary is in the pack.
  • Suppressed, cooled-down and duplicate rows are out of the send file, with counts.

Craft

  • Touch 1 50–90 words (fail over 120); follow-ups shorter; subjects under 50 characters (fail over 60); connection notes ≤200 characters (≤300 only if the marketer said paid).
  • At most 6 touches per person; one ask per message; no calendar link to a stranger in touch 1; no attachment; at most one link.
  • No banned words or openers (email-craft.md § Hard rules); nothing about us in the first sentence.
  • Follow-ups each add something new; LinkedIn text differs from the email.
  • Swap test: swap two rows' first lines — if they still fit, they're generic; rewrite.

The pack

  • The brand copy holds no person's name, company or first line.
  • write-report §3 passes; its first move is who to send to first and why (with no list, that there is no one yet). Outside tools the marketer runs (an email finder, a checker, a sending tool) may be named as examples, never endorsed.
  • The send file imports: header row, one subject and body column per touch, no merged cells, UTF-8.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Write Outreach Outreach Qa AI skill do?

Step of the write-outreach playbook: the checks a finished outreach pack and send file must pass before delivery, covering facts, proof, compliance, length, asks and tone. Run write-outreach instead; not for direct use.

Why use Write Outreach Outreach Qa on TypingMind?

Because you install it once and use it with any model. Write Outreach Outreach Qa is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Write Outreach Outreach Qa in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gooseworks-ai/goose-skills/tree/main/skills/marketing/write-outreach-outreach-qa. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Write Outreach Outreach Qa?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Write Outreach Outreach Qa?

As many as you like. As long as a model supports skills, you can use Write Outreach Outreach Qa with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Write Outreach Outreach Qa AI skill free?

Yes. It is published on GitHub by gooseworks-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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