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Benchmark To Brief

This bridges the gap between research and execution for short-form video campaigns. You feed it validated benchmark data like pattern tables, comment analyses, or performance reports, and it outputs campaign briefs, concept candidates, hook libraries, or test matrices. The whole point is staying grounded in real evidence. It won't let you invent personas or claims that aren't backed by your source data, and it explicitly separates observed facts from inference when evidence is thin. Use it when you've already done the research legwork and need to turn findings into actionable creative direction without drifting into unsupported brainstorming. It's opinionated about not skipping the brief stage or passing raw research straight to production.

skills.sh installs
1K
GitHub stars
27
last updated
Aug 21, 2026

Install

$ npx -y skills add postplusai/postplus-skills --skill benchmark-to-brief --agent claude-code

Installs into .claude/skills of the current project.

Files

Benchmark To Brief

Use When

  • Turn validated benchmark research into campaign briefs, concept candidates, hook libraries, lane priorities, or test matrices.
  • Use after research already exists; this is the strategy handoff between evidence and execution.

Do Not Use When

  • The task is greenfield brainstorming without source evidence.
  • The user needs final scripts; return a script-ready brief and send it to the human script review gate.
  • The user needs visual generation; hand off to asset generation workflows after the evidence-backed brief exists.

Required Input

  • Validated evidence such as benchmark reports, master tables, pattern tables, strategy tables, comment analyses, or performance findings.
  • For the structured artifact, input JSON with corePromise, hookOptions, workflow, sourceFacts, and sourceBasis.

Fact Rule

Everything produced by this skill must be grounded in available evidence.

Do not invent:

  • target personas with no source basis
  • hooks that contradict benchmark wording
  • unsupported product claims
  • audience motivations not reflected in data

Sponsors

Details

Repository
github.com/postplusai/postplus-skills
Categories
Testing & QA, Data Science & ML
First seen
Jun 3, 2026

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