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answer-ads-questions

Put your AI agent on the growth team.

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项目 README

来源文件:README.md

抓取于 2026年9月25日
CleanShot 2026-07-13 at 20 15 47@2x CleanShot 2026-07-13 at 20 16 54@2x

AI Skills for Brand Growth

Put your AI agent on the growth team.

Research customers and competitors, analyze what is working, create the next campaign, and learn from the result. Goose Skills gives Claude Code, Cursor, Codex, and other coding agents ready-to-use workflows for ads, social media, content, competitive intelligence, SEO, lead generation, and GTM.

Browse all skills at https://skills.gooseworks.ai

Works with Claude Code · Cursor · Codex

npm version License: MIT Skills


Contents


Quick Start

AI Coding Agents (Claude Code, Cursor, Codex, etc)

Paste this into your coding agent (Claude Code, Cursor, or Codex) and it'll set everything up:

Install the Gooseworks skills:

In the terminal, run `npx gooseworks install --all`.

Then run `npx gooseworks login` and it'll open a browser to sign in and set up the tools, then confirm it worked.

The skills can be used with /gooseworks <prompt>

Claude Cowork

Run this command in a terminal first:

npx gooseworks install --all

Then authenticate:

npx gooseworks login

Then make sure you're working inside a local folder on your machine, and then you can use the skills in Cowork like this:

Use /gooseworks skill to generate some ad creatives

Install manually

Prefer to run it yourself? Use the command directly:

npx gooseworks install --all       # All detected agents

This gives your coding agent access to the full catalog of 200+ skills. After installing, just ask your agent to use any skill by name.

If you want a cloud-based AI coworker that already knows all these skills and more, sign up to Gooseworks


Brand Growth collection

The Brand Growth collection is a curated path through the normal Goose Skills catalog for consumer and ecommerce brand work. It is not a separate package or command: install GooseWorks once, then ask /gooseworks for the outcome you need.

StageWhat your agent can doExample skills
ResearchUnderstand the brand, customers, competitors, audiences, creators, trends, comments, and product demandbrand-research, audience-research, comment-mining, competitor-social-research, influencer-prospecting, trend-discovery, product-demand-research
AnalyzeDiagnose ads, creator profiles, transcripts, policy risk, landing-page message match, and unusual social performancecompetitor-ad-intelligence, creator-profile-teardown, transcript-intelligence, meta-ads-analyzer, meta-ad-policy-checker, ad-to-landing-page-auditor, outlier-post-finder
CreateRepurpose research, remix graphic ads, make product photography and social graphics, and animate static imagescontent-repurposing, remix-graphic-ad-from-reference, product-photoshoot, goose-graphics, animate-image
Learn and iterateBring results back into research and analysis, then decide the next testRe-run the relevant analysis skill with current performance and audience evidence

ScrapeCreators powers structured public social and ad-library research behind several workflows. Signed-in GooseWorks users access it through the managed first-party proxy and do not need a separate ScrapeCreators key. The user-facing skills turn that source data into a brief, shortlist, analysis, or recommendation instead of returning raw API output.

Browse the Brand Growth collection

After installation, start with:

/gooseworks onboard me

The agent will collect the useful company context for future growth work and finish by asking what you want to do first. Existing users can skip onboarding and keep using /gooseworks exactly as they do today.


Commands

npx gooseworks search "reddit scraping"   # Search the skill catalog
npx gooseworks credits                     # Check your credit balance
npx gooseworks update                      # Update to latest skill version

Skills Catalog

200+ skills across the growth stack, grouped by focus area:

CategoryWhat's inside
AdsResearch, build, and analyze paid campaigns across Meta and Google
SEOKeyword research, content gaps, SERP analysis, technical audits
Lead generationFind, enrich, and qualify prospects for your pipeline
OutreachDraft, personalize, and run outbound across email and social
ContentBlog posts, social content, carousels, video scripts, newsletters
ResearchCompany, market, and prospect deep-dives
Competitive intelTrack competitor pricing, launches, positioning, and ads
MonitoringWatch for mentions, signals, and changes across the web
SocialScrape and analyze social platforms and audiences
BrandVoice, positioning, and visual brand assets

Browse and search every skill at skills.gooseworks.ai.


Usage Examples

After installing, just ask your coding agent naturally:

"/gooseworks Generate static ad creatives for my brand"
"/gooseworks Use the reddit-post-finder skill to search r/startups"
"/gooseworks Use the apollo-lead-finder skill to find CTOs at AI companies"
"/gooseworks Use the competitor-intel skill to research Acme Corp"
"/gooseworks Use the goose-graphics skill to create a LinkedIn carousel about our launch"

Your agent will search the GooseWorks catalog, download the skill, and run it automatically.


Building from Source

git clone https://github.com/gooseworks-ai/goose-skills.git
cd goose-skills
node scripts/validate-skills.js  # Validate SKILL.md + skill.meta.json contract
node scripts/build-index.js      # Generate skills-index.json
node bin/goose-skills.js list    # Test locally

Skill Metadata Contract

Each skill directory must include:

  • SKILL.md — Skill documentation and usage guide
  • skill.meta.json — Machine-readable metadata

skill.meta.json fields:

FieldRequiredDescription
slugYesUnique kebab-case identifier
categoryYescapabilities, composites, or playbooks
tagsYesString array of category tags
installation.base_commandYesInstall command
installation.supportsYesArray: claude, codex, cursor
featuresNoFeature flags
github_urlNoSource repository URL
authorNoSkill author
example_promptNoCopyable prompt shown in the catalog and docs for trying the skill

Security & Trust

These skills run inside your coding agent, so it's worth knowing exactly what they do:

  • Open source & inspectable. Every skill — its SKILL.md instructions and all scripts — lives in this repo under the MIT license. The gooseworks CLI fetches skills at runtime so recipes stay current, but the source you'd run is right here to read, diff, or pin before you run it.
  • Scripts run locally. Skill scripts execute on your machine and write to /tmp/gooseworks-scripts/, never into your project directory. Only API requests go through GooseWorks servers; review any script before letting your agent run it.
  • Your agent stays in control. The skills are a tool your agent reaches for when it fits the task (data at scale, sources behind auth, a specific provider) — not a replacement for its built-in web search or fetch on quick lookups. You can read or edit any installed SKILL.md to tune that behavior.
  • Credentials stay local. Auth is a Bearer token stored at ~/.gooseworks/credentials.json (file mode 0600). Third-party provider keys (Apify, Apollo, etc.) are held server-side — your token never touches them. All network calls are HTTPS.
  • The MCP server is opt-in. Registering the GooseWorks MCP server is off by default; it only happens if you explicitly run gooseworks install --mcp.

Found something that looks off? Open an issue — we'd rather fix it in public.


License

MIT — see LICENSE for details.

The skill files and CLI in this repository are MIT-licensed. The GooseWorks API they connect to is a separate paid service governed by its own terms.

数据与 AI

中风险

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现:1 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/answer-ads-questions" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/answer-ads-questions" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/answer-ads-questions" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/answer-ads-questions" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/gooseworks-ai/goose-skills.git
  3. 将 "skills/ads/capabilities/answer-ads-questions" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: answer-ads-questions
description: Answer questions about a brand's Meta ads (spend, results, which ad is winning, is it paused, why did Goose do that) only from reads made in the same turn, with the data window and sync time on every number and a plain caveat when the connection is stale or partial. Use it whenever a user asks how their ads are doing or why an ad action was taken.

Answer Ads Questions

In one line: answer "how are my ads doing?" from a tool you called this turn, say which days the numbers cover and when they were last synced, and say out loud when the data is incomplete.

  • Numbers come from tools, never from memory or the docs. The ads/ docs explain why Goose did something. They are not a source of metrics.
  • Every number carries its window and sync time. "You spent $212 from Sep 17 to Sep 23 (data last synced Sep 24, 09:00 UTC)."
  • Partial, stale or disconnected data is said straight after the answer, never buried or left out.
  • This skill only reads. It never pauses, changes or writes anything.

Where this skill's files are

Paths are relative to this skill's own folder, not your working directory (in GooseWorks: agent-config/skills/answer-ads-questions/). The harness docs contract ships with the meta-ad-manager skill, installed beside this one.

Choose one mode

Use the first mode that is available:

  1. GooseWorks when the GooseWorks Meta read tools are callable. Read references/gooseworks-adapter.md.
  2. Direct Meta when there is no GooseWorks, but a Meta token with ads_read and the ad account id are available. Read references/direct-meta-adapter.md.
  3. Planning only when neither is available. Read references/planning-only.md.

"The adapter" below means the file for the mode you chose.

Purpose

Give a user a true, dated answer about their Meta ads that they could act on. The usual way this goes wrong is that the agent repeats a number from an earlier turn or a report, and presents it as current. Or it misses that half the account did not sync. This skill fixes the source (a tool read this turn) and the framing (window, sync time, connection state).

Reach for it on any question about spend, results, delivery, which ad is best or worst, whether a push is live or paused, what Goose has noticed, or why Goose made a decision.

Inputs

  • The user's question (required), in their words.
  • The brand's ads/ folder (optional). Per the harness contract (the meta-ad-manager skill's contract/RULES.md): ads/README.md first, then only the campaign in play. Read ads/brand.md for one field only: familiarity. A brand with no ads/ folder has never run the harness. That is fine for metric questions. For "why" questions it means there is no recorded decision.

Workflow

1. Pick the read from the question

The adapter maps each read below to a real tool or API call, and says where each read's data window and sync time come from.

The user asks…ReadAlso read
"How are my ads doing?", spend, results for a periodaccount totals for a windowthe connection state, whenever it is not clean
"Is Meta connected?", "why is data missing?"the connection and sync statethe diagnostics, if the sync state does not explain it
"Which campaign / ad set / ad is best or worst?"every entity at that level. Read every page before you rank—
A trend, day by day, "since Tuesday"a daily series for the entities in question—
One specific adthat ad's context (performance, link to Goose, freshness). If the user gave a name, find the id from the ad list first—
"How are the ads Goose made doing?"the performance of Goose's own published creativesthe connection state, for the sync time
A Goose push: "did it go live?", "is it paused?"that push's state, using the push id from the campaign's state.md (meta_push_ids)—
"Why did you pause / change / recommend that?"ads/README.md, then that campaign's decisions.md—
"What have you noticed?", "anything wrong?"the campaign's state.md ## Open recommendationsfresh account totals

Only claim a read you made. If the host has no read for something (alerts, a watch, a push record), never say "I checked" or "there are no alerts". Say what you did read, and that the rest is not visible from here.

2. Check the connection before you say any number

For any question that ends in a Meta number, read the connection state once in the turn, in addition to the numbers. Some reads report "ok" while the connection is only partly synced, so the numbers' own status is not enough. The adapter says which read carries the connection state and how each class below shows up.

ClassWhat you say
Clean: connected, last sync finishedThe numbers, with window and sync time.
Partial: some parts of the last sync failedRead the sync detail first. A caveat that only says "partial" or "some data may be incomplete" fails. Name the part that failed, in plain words ("ad images didn't finish syncing"). Say which numbers that part affects. Then give them.
Stale: the last good sync is oldGive the numbers, say how old they are ("last synced 3 days ago"), and make no recommendation.
Not connected: never connected, needs re-authorising, failed or disconnectedNo numbers. Say Meta needs reconnecting (the adapter says where). Never ask for a token in chat.
Error: the read failed, or there is no brandSay you could not read the data and why. No numbers.

3. Answer by the six rules

  1. Only say a number a read returned this turn. Not one from memory, an earlier turn, a report, or an Observed: line in state.md or decisions.md. You may quote a docs number only as history, with its own date: "the Sep 23 report showed $41 per subscriber".

  2. Every number carries its window and sync time, in plain words, with money in the ad account's currency. Report rates as the adapter says the source returns them (a fraction or a percent): 0.021 as a fraction is "2.1%". Null means unknown. Never say it is zero. Missing days are unknown too.

  3. Say the connection state when it is not clean (step 2), in the sentence right after the answer.

  4. The docs are for decisions and reasoning, never for metrics. For "why", quote the decisions.md entry: its date, what was recommended, who decided, and its Evidence: pointer, written out (for example "evidence: push 15b8dfb0"). If no entry covers it, say "I don't have a recorded decision for that". Never reconstruct a reason. If the push record shows the ad was changed outside Goose (in Ads Manager), say someone changed it outside Goose. Do not say Goose did it.

  5. An ad Goose did not publish is read-only. An ad is Goose's only when its context says Goose published it (a Goose push is its source), or when a push listed in the campaign's state.md meta_push_ids has an item with that ad id, or when the adapter's own launch record includes it. Only then do Goose's pause and revert apply (the adapter says which of them exist). Everything else:

    • "No Goose link recorded" alone does not prove Goose had nothing to do with it. A push the read cannot see (another brand's record, a creative uploaded by hand) looks the same. So before you say "Goose didn't make this", check the pushes in state.md, and whether the ad name carries a [gw:…] tag. With a tag but no push item, say it uses a Goose creative but you can't confirm Goose published it.
    • A link that says the ad uses a Goose creative, but was not pushed by Goose: say exactly that. It was not published through Goose.
    • With no Goose pushes at all (the adapter says when that is the case), every ad is the user's own.

    For every ad that is not Goose's, answer from the reads and do not offer to pause, edit, replace or scale it. If the user asks what to do, the most you offer is new creatives.

  6. Match the wording to familiarity from ads/brand.md:

    • novice: no jargon. Give a one-line meaning for any metric you use ("CTR, the share of people who saw the ad and clicked").
    • intermediate: use the terms with a short gloss.
    • expert: terse. Metric names, no glosses.
    • Missing or unknown: intermediate.

Rules for reading any source:

  • A clipped or truncated result: narrow the window, the entities or the metrics, and read again. Never answer from a clipped result.
  • A result that withholds numbers (for example, the ad's creative was replaced): say that. Don't estimate.
  • Never recompute a metric the source returned, and never compare against outside benchmarks.
  • Name a metric exactly as the source defines it. Cost per click over all clicks is not cost per link click. A return on ad spend of 0 with no purchases tracked means no purchases were tracked, not a result.
  • Report what a number is, not a business verdict. A return on ad spend of 0.7 is "about 70¢ of Meta-reported purchase value per $1 spent". It is not "losing money": Meta's purchase value is its own attributed figure, not revenue, margin or repeat purchases. The same goes for "profitable" and "wasting money".
  • Never call data "complete" or vouch for a total ("the total holds"). A clean connection means the last sync finished, not that every row is proven. Say which parts synced and which failed, and let the numbers stand as reported.
  • A same-length comparison period can be shown side by side. Do not say the account is "up" or "down".
  • Performance of Goose's own creatives is not attribution. Never call it that, and when there are no Goose creatives with data, say so rather than falling back to account totals.

4. Shape the reply

  1. One sentence that answers the question, with its window and sync time.
  2. The caveat, if there is one, immediately after.
  3. Any other numbers, each with its window and sync time.
  4. At most one next step. None when the data is stale. None that changes an ad Goose did not publish.

Output

A chat reply in the shape above. Nothing is written: not the ads/ docs, not Meta, not memory.

Example (intermediate, partial connection):

You spent $212 on Meta from Sep 17 to Sep 23 (data last synced Sep 24, 09:00 UTC). One caveat: the last sync only partly finished, because ad creatives didn't import. Spend and clicks came through, but per-ad breakdowns may be missing some ads.

Quality Checks

  • Every number in the reply appears in a read made this turn.
  • Every number has a date range and a sync time next to it.
  • The connection state was read this turn, and its class decided what was said.
  • A "why" answer cites a decisions.md entry date and evidence pointer, or says there is no record.
  • No offer to change an ad that Goose did not publish.
  • The words "currently", "right now" and "live numbers" never describe a synced figure.
  • No business verdicts ("losing money", "profitable") and no "complete" claims.

Failure Modes

SymptomCauseFix
Clean totals while the account is half-syncedOnly the numbers' own status was checkedRead the connection state every time (step 2)
"Your CPA is $41" when nothing was read this turnThe number came from state.md, a report or an earlier turnRead it, or quote the number as dated history
"Best ad" is wrongRanked the first page onlyRead every page before ranking
"Goose paused it because it was underperforming", but no decision says soA reason was made upQuote decisions.md, or say there is no recorded decision
Offers to pause an ad the user built themselvesTreated every ad in the account as Goose'sRule 5: Goose's only with a Goose push behind it
"No alerts"Claimed a read that does not exist on this hostSay only what was read

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