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Analyze Performance Call And Learn skill

Step of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.

$npx skills add gooseworks-ai/goose-skills --skill analyze-performance-call-and-learn
View this skill on GitHubgooseworks-ai/goose-skills/skills/marketing/analyze-performance-call-and-learn/SKILL.md
Pack stars
1,313
Pack installs
12k
Alyn Score
57/99
Updated
4 days ago
License
MIT
– views – installs via Alyn

Install Analyze Performance Call And Learn

Pick your agent. Every command is ready to paste.

$npx skills add gooseworks-ai/goose-skills --skill analyze-performance-call-and-learn

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads analyze-performance-call-and-learn when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the analyze-performance-call-and-learn skill”. In Codex, type $analyze-performance-call-and-learn.

The skill itself

SKILL.md

FolderGitHub

Test calls, calls and learnings (atom)

Load: ../analyze-performance/references/tests-and-learnings.md.

Inputs: the brief's test plan; this week's results; last week's report (its calls); the change log (what was actually done); the learnings and readouts (brand_knowledge_browse kind 23 / brand_knowledge_search where listed; else knowledge_search source_types: ["learning"], brand_read learnings); the paid run's newest run record.

Do:

  1. Call each ended test Win / Loss / Unclear against its written criteria with the brief's action; state how sure (confirmed / likely / first look).
  2. Score last week's recommendations through run-memory's outcome check (../analyze-performance/references/run-memory.md): what was actually done (the ### YYYY-MM-DD — <title> blocks in decisions.md, run-paid-campaigns' run record), and what happened — for a money move, the paid run's verdict plus the store-joined check over the same window; right or wrong.
  3. Write this week's calls (kill / scale / hold, Google negatives) with object, why, how sure and "would change if"; first look → "watch".
  4. Check fired replan triggers against the brief's thresholds.
  5. Draft ≤ 3 learnings as one-line rules (template in the reference); only ended tests, 2+ week patterns that clear the test n floors on the referee-joined number, confirmed surprises or failures; each shows what it would retire.
  6. Readouts: each Win / Loss → kind 23 experiment_readout.<campaign-slug>-t<n> through save-learning's readout path, only with the marketer present; scheduled runs mark it readout to save.
  7. After the marketer's reply to the decisions block: write the kept learnings through the save-learning skill (../save-learning/SKILL.md) — one idea per learning, [learning YYYY-MM-DD] (+ A-NN), their exact words as the statement, own superseded facts retired in the same call; read back, compare, report which landed. Without their words, write nothing.

Output: the report's Tests, Calls, Learnings-proposed sections; the learnings rows written after the marketer has seen them.

Tips for Analyze Performance Call And Learn

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It is part of a pack with 29 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Analyze Performance Call And Learn

What does the Analyze Performance Call And Learn skill do?

Step of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.

How do I install Analyze Performance Call And Learn?

Run "npx skills add gooseworks-ai/goose-skills --skill analyze-performance-call-and-learn" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Analyze Performance Call And Learn work in Cursor and Codex?

Yes. Analyze Performance Call And Learn uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Analyze Performance Call And Learn free?

Analyze Performance Call And Learn is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Analyze Performance Call And Learn?

Analyze Performance Call And Learn is published by gooseworks-ai in the gooseworks-ai/goose-skills repository, together with 28 other skills.

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