{
  "slug": "ad-pipeline-skeleton",
  "title": "Ad Pipeline Skeleton",
  "description": "The end-to-end shape of advertising work in four acts: DECIDE, MAKE, DISTRIBUTE, LEARN, with the human gates placed where being wrong is still cheap. Frames the brief, concept range, rising fidelity, automated QA, channel and placement choices, resourcing and pacing, the data plan, experiment design, and the feedback loop. Use when planning a pipeline, deciding stage order, working out where approvals belong, or auditing a pipeline that keeps producing expensive rework.",
  "collection": "Made by Joy",
  "pack": null,
  "tags": {
    "tool": [
      "Claude Code",
      "Codex"
    ],
    "task": [
      "Review"
    ]
  },
  "author": "Joy Dong",
  "license": "MIT",
  "install": "npx skills add https://github.com/joydai2026-del/skills/tree/0d15d89c093f8f3852fe51befb3c364e387244f1/ad-pipeline-skeleton",
  "source": "https://github.com/joydai2026-del/skills/tree/0d15d89c093f8f3852fe51befb3c364e387244f1/ad-pipeline-skeleton",
  "page": "https://www.joydong.org/skills/ad-pipeline-skeleton",
  "public_tree_sha256": "feeabec4af29a81864635d013a474082874b14409348db2009df0a0d0e4c1eba",
  "files": [
    {
      "path": "SKILL.md",
      "bytes": 16129,
      "sha256": "d43cec067a2ede15bbeef085b726695d1ac7c9946053e97339a7ca3d386fefd1"
    },
    {
      "path": "references/gate-artifacts.md",
      "bytes": 9482,
      "sha256": "c99f3384b51ce749f9d8e4bcd687e890cd7c1b59c4516c9bd0655db741bebbf8"
    }
  ],
  "teaching_published": false,
  "verified": {
    "status": "pass_install",
    "recorded_status": "pass",
    "last_run_at": "2026-09-11T01:24:01Z",
    "runner": "github-actions",
    "runner_digest": "sha256:b573c7946174ef251554e541b13e12f280b1c9977e3f17607042aa6715e90d36",
    "agent_versions": {
      "claude_code": "n/a",
      "codex": "n/a",
      "skills_cli": "1.5.25"
    }
  },
  "last_updated": "2026-09-10T18:56:00Z"
}
