Learn-skills.dev ad-brief

install
source · Clone the upstream repo
git clone https://github.com/NeverSight/learn-skills.dev
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/NeverSight/learn-skills.dev "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skills-md/adkit-so/ads-skills/ad-brief" ~/.claude/skills/neversight-learn-skills-dev-ad-brief && rm -rf "$T"
manifest: data/skills-md/adkit-so/ads-skills/ad-brief/SKILL.md
source content

Ad Brief

This process is the same regardless of ad platform. Run it before any campaign work.

How to interact

  • Use
    AskUserQuestion
    /
    ask_user_question
    when asking about experience level, goals, or decisions. Present 2-4 selectable options - avoid making them type long answers. For questions where multiple answers are valid (e.g. target audiences, customer types), allow selecting multiple or typing a custom answer. Never force picking one when the user may have several.
  • Ask for reference materials early. Ask if the user has existing documents you should read: brand guidelines, ICP/persona descriptions, competitor lists, landing page URLs, or previous ad performance data. If they provide files, read them and incorporate into your recommendations.

Check for existing brief

First, check if

.agents/ad-brief.md
exists in the user's project. If it does, read it and skip this process.

If not, build one using the template at

template.md
. Two phases:

Phase 1: Research (you do the work)

  1. Ask the user for their product name and URL (or detect from the project: package.json, README, etc.)
  2. Research proactively: visit their website, infer the audience, look up competitors, figure out the offer
  3. Fill in as much of the brief as you can from what you found

Phase 2: Confirm and complete (user fills gaps)

  1. Present your filled brief to the user: "Here's what I found. Correct anything that's wrong and fill in what's missing."
  2. For any remaining gaps, ask one at a time using
    AskUserQuestion
    /
    ask_user_question
  3. Save the result as
    .agents/ad-brief.md
    in the user's project root. This persists for future sessions.