Skip to content
Agentmart
Submit a tool

gads-competitors

Campaign search impression-share metrics; no competitor domains.

Skill by arcbaslow

IndexedMIT★ 2
Write a review

Chalk Labs

Need help deploying gads-competitors?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/arcbaslow-gads-competitors

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Campaign search impression-share metrics; no competitor domains.

Use cases: marketing

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/gads-competitors

What's inside

Skill name
gads-competitors
Description
Campaign search impression-share metrics; no competitor domains.
License
MIT
Metadata
version: 0.1.0
Instructions
13 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

Routes to the `gads-competitors` subagent.

Run `python scripts/gads_competitors.py --customer <id> --days 28 --json`.

Compare search impression share, top/absolute-top impression share and share
lost to rank or budget. Output contains customer_id, date_range and rows.
This query does not return competitor domains, overlap, position-above or
outranking rates. Do not invent a per-domain Auction Insights table.

Treat redacted failures as unavailable evidence, not an empty or healthy result.
See docs/REPORTING.md for error categories. Never retry a write automatically.

From arcbaslow/google-ads-agents, MIT.

More from arcbaslow/google-ads-agents

Signals

Stars
2
Forks
1
Open issues
0
Last commit (this folder)
Oct 1, 2026 (1 month ago)
Last release
Sep 8, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
0.1.0
License
MIT
Repository
github.com/arcbaslow/google-ads-agents
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from arcbaslow

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get gads-competitors running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying gads-competitors?

CallGet help
Cite this page

gads-competitors skill. Agent Mart. https://agentmart.dev/skills/arcbaslow-gads-competitors (last updated 2026-10-24)