Define Hypothesis
product-on-purpose/pm-skills
Defines a testable hypothesis with clear success metrics and a validation approach.
Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different…
$ npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills ads-north-star-strategy --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/composites/ads-north-star-strategy .claude/skills/ads-north-star-strategy && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ads-north-star-strategy" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategy into .claude/skills/ads-north-star-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-north-star-strategy", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills ads-north-star-strategy --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/composites/ads-north-star-strategy .agents/skills/ads-north-star-strategy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ads-north-star-strategy" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategy into .agents/skills/ads-north-star-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-north-star-strategy", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills ads-north-star-strategy --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/composites/ads-north-star-strategy .cursor/skills/ads-north-star-strategy && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ads-north-star-strategy" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategy into .cursor/skills/ads-north-star-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-north-star-strategy", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/ads/composites/ads-north-star-strategy--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills ads-north-star-strategy --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/composites/ads-north-star-strategy .gemini/skills/ads-north-star-strategy && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ads-north-star-strategy" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategy into .gemini/skills/ads-north-star-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-north-star-strategy", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills ads-north-star-strategyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/composites/ads-north-star-strategy .github/skills/ads-north-star-strategy && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ads-north-star-strategy" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategy into .github/skills/ads-north-star-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-north-star-strategy", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills ads-north-star-strategy --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/composites/ads-north-star-strategy .opencode/skills/ads-north-star-strategy && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ads-north-star-strategy" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/composites/ads-north-star-strategy into .opencode/skills/ads-north-star-strategy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ads-north-star-strategy", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ads-north-star-strategyTurn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different…
Ads North Star Strategy is an agent skill from gooseworks-ai/goose-skills. Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different they must be (generate 3x so the user can choose), the test frame, the success metric, and safety rules for the user to accept. Decides what launch-meta-ad-campaign then executes, and re-reads the strategy after a deep check to show which assumption changed. Use it after intake and before any creative is generated or…
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/direct-meta-adapter.md` and `references/gooseworks-adapter.md`).
It sits in Marketing & SEO, covering Paid advertising and Product metrics. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ads North Star Strategy loads about 5k tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 3,011 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 3,011 words, ~4,991 tokens.
.claude/skills/ads-north-star-strategy/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.What this is for. Intake produced facts: what the business sells, what a customer is worth, how long they take to buy, what the user wants from this money. This skill turns them into a strategy the user can read in a minute. Each choice comes with its reason, because the deep check re-reads this file weeks later and has to see what was assumed.
This skill decides. launch-meta-ad-campaign executes. The launch skill already holds
the rules for what to optimize for, how big a test the budget buys, and how to structure the
campaign. This skill applies those rules and records the answer. It does not restate
them. When they change, they change in one place.
The three things most strategies get wrong:
Paths are relative to this skill's own folder, not your working directory (in GooseWorks:
agent-config/skills/ads-north-star-strategy/). The harness docs contract ships with the
meta-ad-manager skill and the Stage 2 and Stage 4 rules with launch-meta-ad-campaign; both
are installed beside this one.
Use the first mode that is available:
"The adapter" below means the file for the mode you chose.
Write strategy.md for one campaign: goal, audience, objective and placements, budget,
creative plan, test frame, success metric and reasoning. Then propose safety rules for the
user to accept. Use it after intake and before any creative is generated. Use it again
after a deep check, to revise the strategy and say what changed.
<!-- shared:ads-north-star-strategy start -->
<!-- This block is maintained in ONE place and copied byte-for-byte into both the
maintainers' source copy and the published goose-skills copy. Edit one, copy
it to the other, and run the parity script before shipping either. -->
| Input | Where it comes from | If missing |
|---|---|---|
| Brand facts: business type, unit economics (ACV or AOV, margin, LTV, CAC target), sales cycle, other channels, claims rules, safety limits, the user's familiarity with Meta | the brand file intake wrote | read brand research; ask only per the asking rule below |
| Campaign brief: the goal in the user's words, the offer, the ICP, the destination, total budget and duration | the campaign brief | ask |
| Product: what is sold, price point | the catalog, by product id | ask which product |
| Account facts: lifetime spend, tracking present, weekly volume of the target event | read from the ad account (launch skill, Stage 2) | assume a cold account with no tracking, and say so |
| Existing customers (a customer list or custom audience) | the ad account's audiences | no exclusion; say so |
| Brand record ids: brand id, the coworker agent that owns the files | the brand record | ask the host; never invent one |
| What the executing host can launch: which objectives, and how many ads per ad set | the host's launch tool | assume Traffic only, 2–3 ads |
| Deep-check findings (re-read only) | the deep check's report | not a re-read |
The asking rule. Ask only when both are true: the answer cannot be inferred from research, the catalog or existing campaigns, and a wrong guess changes money, claims or legal exposure. State everything else as an assumption: "I'm assuming X, Y, Z. Tell me if any are wrong." Ask at most four questions per turn, in plain words.
Things that usually pass the rule at strategy time: the budget ceiling, what a lead or sale is worth (when the brief has no ACV/AOV), and whether a named result may be claimed. Things that never pass it: the objective, the optimization goal, the structure and the placements. Those are yours to decide.
Facts that came from intake, not from a tool. An account fact the user or intake stated
(lifetime spend, weekly events) has no sync time. Write it as an assumption ("per intake,
not yet read from the account"), never as an - Observed: line with an invented sync
time. Once the account is read, the observation replaces the assumption.
launch-meta-ad-campaign: its Stage 2 tables (choose the optimization goal, size the
test honestly, structure follows the budget) and its Stage 4 test design. Read them
before deciding. Do not copy them.meta-ads-analyzer: produces the deep-check findings that trigger a re-read.strategy.md, the deep-check findings and the campaign's decision log.strategy.md in the contract format (below). Increment version on any change.launch-meta-ad-campaign.Apply them in order. Each writes its reason into the strategy.
Decide the objective from the business outcome, not from what is easiest to buy:
| The business | The outcome that pays | Right objective |
|---|---|---|
| Software, sales-led, cycle over ~30 days or ACV over ~$2k | qualified pipeline: demo requests, sales calls | Leads |
| Software, self-serve with a free trial | trial starts that activate | Leads (a signup event), or Sales if paid checkout is the first step |
| E-commerce | purchases | Sales |
| App | installs that pay | App promotion |
| "Does this work at all?" | learning, not revenue | Traffic, as a stated plumbing test |
Say why the cheaper objective is wrong for this business. For a long-cycle software brand, Traffic buys people who tap ads. Those people rarely book a call and never become a $10k contract. A low cost per click hides the fact that nothing in the pipeline moved.
When the host cannot launch the right objective, do not quietly downgrade. Write three things, in this order:
Never write a strategy whose success metric is a click for a business that makes money on a lead or a sale.
The right objective and the right optimization goal are two different claims. Sales can be the right objective while the account is still too thin to optimize for purchases (under ~50 a week, launch Stage 2). Write both: "the right objective is Sales; at 6 purchases a week Meta could not optimize for them yet, so this run pays for landing-page views and is judged on cost per purchase."
Bridge stopping point. Stop the bridge early when it has spent 3× the target cost per result with zero results. Otherwise, judge cost per result against the target at the end of the run, or at the test frame's threshold if that comes first.
Apply the three tables in launch-meta-ad-campaign Stage 2: "choose the optimization goal
from those numbers", "size the test honestly" and "structure follows the budget". Record:
Apply launch-meta-ad-campaign Stage 4: what is being compared, the single variable, how
the budget splits, the metric that decides, and the evidence needed before judging. The
success metric follows the goal from rule 1: cost per qualified lead, cost per
purchase, cost per paying install. Measure it with what the tracking actually counts,
e.g. a booked demo. When quality is judged downstream, e.g. the sales team qualifies demos,
say how the two are reconciled: "cost per booked demo, checked weekly against the demos
sales marked qualified". Give a threshold drawn from the unit economics, e.g.
"a lead is worth it at up to $150, because at a 10% close rate and a $12k ACV, a
customer at $1,500 pays back in the first two months." If the budget cannot reach the
evidence threshold, the test frame says so.
Propose these. Save them only after the user accepts:
| Rule | Default threshold | Why |
|---|---|---|
| Pause everything if the destination is down | the page fails to load on two checks in a row | every tap on a broken page is paid for and lost |
| Pause an ad set that has spent X with zero results | X = the larger of 2× the target cost per result and 3 days of its budget | past that point the money is not buying learning; the 3-day floor stops a small budget from pausing before a normal gap between results |
With one ad set, pausing the ad set pauses the campaign. Say so when you propose the rule. Stay inside the brand's safety limits, such as the maximum daily budget and excluded audiences. Budget changes are never pre-approved; they always go back to the user.
The deep check brings evidence. The strategy says which assumption the evidence overturned, not just which number moved.
version, and set based_on: deep check YYYY-MM-DD.## What changed after Reasoning. A bullet belongs there for either of two
reasons: the evidence overturned an assumption vN stated, or it answered a question the
test frame said this run would answer. Each bullet has four parts: the assumption or
question, what version N said, the evidence (a tagged - Observed: line), and the new
decision. A finding that only confirms the plan working does not belong here. Neither does
a finding still below its bar: put it under a short "could not judge yet" line instead.meta-ads-analyzer).
Delivery was already concentrating on the buyers. Narrowing to that segment usually
raises the cost. Leave the audience alone unless the segment finding clears the bar
and a business reason agrees.If no comparison clears its bar, change nothing, and say what the check could not yet judge.
ads/campaigns/<slug>/strategy.md, in the contract format (the meta-ad-manager skill's
contract/templates/campaign/strategy.md), where the adapter keeps the ads/ files:
campaign, product_ids (catalog references, never copies), version,
updated_at, based_on.## What changed on a re-read.- Observed: line with its window, sync time and
source. Never call an observation current.The skill also writes, in the same turn:
R<next free n>: approve strategy vN — awaiting, and, only once accepted, the safety rules under ## Pre-approved rules.
On a first run, set stage strategy. On a re-read, leave the stage as it is: a live
campaign stays live.Decided: shown to the user; awaiting approval, Outcome: pending) and one for the
safety-rule proposal and its answers. When the user answers, record it by filling that
entry's - Outcome: pending line (the only line that may change), e.g. "approved v1 on
2026-09-28; launched". Never edit the Decided line afterwards. A re-read that finds the v1
entry still pending fills in its Outcome in the same way.<!-- shared:ads-north-star-strategy end -->
## What changed names the assumption, and there
is a decision-log entry.| Symptom | Cause | Fix |
|---|---|---|
| The strategy for a B2B brand optimizes for clicks and reports a great CPC | The objective was chosen from what the host can launch | Apply rule 1: name Leads, write the bridge judged on cost per lead, and state the limit |
| Three ad sets at $10/day each | Splitting by audience "to test audiences" | Rule 2: one ad set; the test is between angles |
| Nine generated ads, all the same headline in different colours | Diversity read as visual variety | Rule 4: angles differ in message; name them |
| Thirty creatives when the user asked for ten | The 3x rule was applied to the user's own number | Triple only the plan's count; a user's number is used as is |
| A safety rule in state before the user said yes | Proposal treated as acceptance | Save only accepted rules; log the answer |
| The re-read strategy just has new numbers | Evidence recorded, assumption not named | ## What changed: assumption → old → Observed evidence → new decision |
| The strategy promises an answer the budget can't produce | Test size not checked | Launch skill Stage 2 "size the test honestly"; write the limit |
© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 5 other files (references) in skills/ads/composites/ads-north-star-strategy of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
Ads North Star Strategy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ads North Star Strategy this skillgooseworks-ai/goose-skills | 1.2k | — | ~5k | Automated safety check: Pass | MIT | |
| Define Hypothesisproduct-on-purpose/pm-skills | 716 | — | ~966 | Automated safety check: Pass | Apache-2.0 | |
| First 50 UsersAIDevGTM/gtm-cofounder | 310 | — | ~977 | Automated safety check: Pass | MIT | |
| Growth StrategyOpenClaudia/openclaudia-skills | 713 | — | ~2.1k | Automated safety check: Pass | MIT | |
| 07 Marketing Report Globalminhnv0807/ai-business-skills | 609 | — | ~2.9k | Automated safety check: Pass | MIT | |
| 28 Community Building Globalminhnv0807/ai-business-skills | 609 | — | ~3.6k | Automated safety check: Pass | MIT |
product-on-purpose/pm-skills
Defines a testable hypothesis with clear success metrics and a validation approach.
AIDevGTM/gtm-cofounder
Get the first 50 real users through channels the user's ICP already uses.
OpenClaudia/openclaudia-skills
Build a growth strategy with frameworks, metrics, and experimentation.
minhnv0807/ai-business-skills
A skill your agent uses when the user needs to WRITE a marketing report someone else will read — a one-page weekly for a CEO, a full monthly, or a quarterly strategy report with TL;DR, results…
minhnv0807/ai-business-skills
A skill your agent uses when a PERSONAL brand needs its OWN community — Skool, Mighty Networks, Discord, Circle, or Slack: a three-layer public, member, and inner-circle blueprint, seven-day…
indranilbanerjee/digital-marketing-pro
Plan a creative testing roadmap with script-computed sample sizes.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different…. Ads North Star Strategy is an agent skill from gooseworks-ai/goose-skills. Turn a brand's facts, a campaign brief and the product into a one-minute Meta ad strategy with its reasoning — goal, audience, objective and placements, budget split, how many ads and how different they must be (generate 3x so the user can choose), the test frame, the success metric, and safety rules for the user to accept.
Ads North Star Strategy fits situations like: tasks that involve Paid advertising; tasks that involve Product metrics.
Run `npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a claude-code`. Or copy the skill folder (skills/ads/composites/ads-north-star-strategy in gooseworks-ai/goose-skills) into .claude/skills/ads-north-star-strategy in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a codex`. Or copy the skill folder (skills/ads/composites/ads-north-star-strategy in gooseworks-ai/goose-skills) into .agents/skills/ads-north-star-strategy in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill ads-north-star-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ads-north-star-strategy, .gemini/skills/ads-north-star-strategy, .github/skills/ads-north-star-strategy and .opencode/skills/ads-north-star-strategy in your project.
SKILL.md names no scripts, command-line tools or credentials: Ads North Star Strategy is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Ads North Star Strategy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ads North Star Strategy: Define Hypothesis (product-on-purpose/pm-skills, 716 stars), First 50 Users (AIDevGTM/gtm-cofounder, 310 stars), Growth Strategy (OpenClaudia/openclaudia-skills, 713 stars) and 07 Marketing Report Global (minhnv0807/ai-business-skills, 609 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.