Weekly test pulse
Skill intelligems-io/intelligems-mcp-skills/skills/weekly-test-pulse
Use when a brand operator or agency asks for a quick weekly status report on running Intelligems tests and recommended next actions.From its SKILL.md
npx -y skills add intelligems-io/intelligems-mcp-skills --skill weekly-test-pulseAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its file declares
Copied from the file, not written here
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
1.7 KB, 335 tokens by cl100k_base, as published. Nobody here has run it
Weekly Test Pulse
Use this skill for a concise status report on tests that are currently running.
Steps
- Resolve the organization. If ambiguous, use
list_organizationsand ask for the target. - Find running tests with
search_experimentsorsearch_experiencesusingstatus: "started". - For each running test, fetch details with
get_experienceand metrics withanalyze_experience. - Use
get_experience_metrics_configwhen you need the correct analytics view type or primary metric. - Group tests into: likely winner, likely loser, inconclusive, needs more data, and needs attention.
Watchouts
- Do not recommend ending a test solely from early conversion lift.
- Check RPV, GPV, net revenue, AOV, and confidence when available.
- Call out tests with low traffic, uneven traffic allocation, missing profit metrics, or suspicious segment concentration.
- If a lifecycle action is needed, recommend it but do not run
experience_actionwithout explicit approval.
Data Safety
Use only the user's authenticated MCP or API context. Do not save raw responses, exports, graph URLs, order data, customer data, or private store identifiers to the repository. Summarize findings and include experience IDs only when needed for the user's workflow.
Output
Return:
- One-paragraph pulse summary.
- Table of running tests with status, leading variation, metric direction, confidence, and recommendation.
- Risks or anomalies.
- Exact next actions for the coming week.
- Source appendix with organization, date range, and tool calls.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.