plan-campaign-goal-chain SKILL.md skillA
plan-campaign-goal-chain from gooseworks-ai/goose-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gooseworks-ai/goose-skills/plan-campaign-goal-chain@v0.1.2Pins v0.1.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gooseworks-ai/goose-skills
- Path
skills/marketing/plan-campaign-goal-chain/SKILL.md- Versions recorded
- 2
- Latest version
- v0.1.2, committed Oct 24, 2026
- First version recorded
- Oct 23, 2026
- Size
- 2,485 bytes
- Repository stars
- 1,302
- License
- MIT
Checks whether a stated goal is reachable on a given budget: fills an economics box with a source on every number, subtracts the baseline, works out the implied cost per customer against history or labelled base rates, and flags when the goal needs renegotiating. Use alone when you already have the goal (metric, number, date), budget, order value, margin and baseline; otherwise run plan-campaign.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Goal chain and economics (atom) **Load:** `../plan-campaign/references/unit-economics.md`, `../plan-campaign/references/company-types.md` (the brand's type). **Inputs:** the goal (metric, number, date) as the marketer stated it; budget; AOV / ARPA / first-job value; margin or contribution inputs; repeat behaviour if shown; baseline for the same period (marketer or past reports); conversion rates from the brand's history (learnings, past performance reads) or labelled base rates; stock or capacity. **Do — part 1 (step 2):** 1. Fill the economics box. Every line gets a source: *own history · marketer · base rate (rule of thumb) · assumption*. Unknown margin → a labelled assumption with "confirm margin" first in What we couldn't check (asked only when the plan turns on it). 2. Baseline → incremental target (never credit the campaign for the baseline); implied CAC = budget ÷ incremental target vs history or labelled base rates; stock or capacity vs the goal. Pre-revenue: no allowable CAC — record the marketer's provisional cap. **Do — part 2 (step 5, after the channels and split exist):** …
Read the whole file at its exact version.
How to install
mdr add gooseworks-ai/goose-skills/plan-campaign-goal-chain@sha256:d34fae423ea357e3The line at the top of this page pins the label v0.1.2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_6kf5lsbjtyujakmm)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 23, 2026 and Oct 24, 2026, about one every day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.2 latest | 2026-10-24 | b1e7218 | 2,485 B | A | view · diff |
| v0.1.1 | 2026-10-23 | 4cd1948 | 2,485 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2485 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
gooseworks-ai/goose-skills · 1,302 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6kf5lsbjtyujakmm GET https://markdownregistry.com/api/v1/resolve?ref=gooseworks-ai/goose-skills/plan-campaign-goal-chain GET https://markdownregistry.com/api/v1/blob/d34fae423ea357e3860c06f71366de2765ae6714d44a5ba07910d5970805b097
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.