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Benchmark To Brief

  • 692 installs
  • 19 repo stars
  • Updated July 27, 2026
  • postplusai/postplus-skills

Benchmark To Brief is an agent skill that turns validated benchmark research into fact-grounded short-form video campaign briefs and concept candidates.

About

Benchmark To Brief is a PostPlus agent skill for solo builders and small creative teams who already finished benchmark research on short-form video and need an execution-ready strategy layer. It ingests validated evidence—reports, master tables, pattern tables, comment analyses, performance findings—and outputs campaign briefs, concept candidates, hook options, lane priorities, and test plans that stay anchored to source facts. The skill refuses greenfield invention: unsupported personas, angles, or claims are out of scope. It stops at script-ready briefs and routes final scripting to human review and asset generation to downstream workflows. Use it as the strategy bridge between research tables and production, not as a brainstorming substitute when no data exists.

  • Hard fact rule: every angle, persona, and claim must trace to supplied research artifacts
  • Structured output JSON: corePromise, hookOptions, workflow, sourceFacts, sourceBasis
  • Produces briefs, concept lists, hook libraries, lane priorities, and test matrices—not final scripts
  • Explicit handoff: script-ready brief to human script review; visuals only after evidence-backed brief
  • PostPlus Media and Creative Production family skill for short-form video campaigns

Benchmark To Brief by the numbers

  • 692 all-time installs (skills.sh)
  • +43 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #343 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/postplusai/postplus-skills --skill benchmark-to-brief

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Listed on Skillselion
Installs692
repo stars19
Security audit3 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorypostplusai/postplus-skills

What it does

Convert validated short-form video benchmark research into fact-grounded campaign briefs, hooks, and test plans without inventing unsupported claims.

Who is it for?

Best when you're running evidence-led short-form campaigns and already invested in benchmark research and need a strict research-to-strategy handoff.

Skip if: Greenfield brainstorming without sources, final script writing, or direct visual generation before a brief exists.

When should I use this skill?

You already have benchmark research artifacts and need campaign briefs, concepts, hooks, or test plans grounded in that data.

What you get

You get a structured, source-cited brief and concept set ready for human script review or downstream asset generation—without fabricated angles.

  • Evidence-backed campaign brief
  • Concept candidate and hook option lists
  • Lane priorities and test matrices for short-form video

By the numbers

  • Structured artifact fields: corePromise, hookOptions, workflow, sourceFacts, sourceBasis

Files

SKILL.mdMarkdownGitHub ↗

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

If evidence is incomplete, separate:

  • Observed from sources
  • Inference
  • Open question

Default Workflow

1. Use the smallest sufficient evidence set already supplied or explicitly identified by the user. 2. Prefer structured artifacts first: final report, strategy table, pattern table, master table, then comment summaries. 3. Extract facts before proposing: winning lanes, repeated hook shells, repeated structure types, visual format tendencies, user-language patterns, and strong examples. 4. Map facts to brief fields: source artifact, benchmark ids or examples, why the pattern fits the product, and variable being tested. 5. Keep each concept narrow: one problem, one hook family, one format, one test variable. 6. Preserve benchmark language when adapting hooks unless the user asks for variant testing. 7. Return an execution object: brief, concept list, hook set, script input, or approved copy.

Judgment Flow

For every recommendation, answer:

  • what problem is being cut?
  • what hook shell is being reused?
  • what content lane does it belong to?
  • what variable is being tested?
  • which source evidence supports it?
  • what claim or audience motivation is only inference?

Stop Conditions

  • Stop when required user intent, source evidence, or owned input artifacts are

missing and guessing would change the result.

  • If an owned CLI or script command fails, report the exact error and stop. Do

not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

Output Shape

Common outputs:

  • campaign brief
  • concept candidates
  • hook library
  • lane prioritization
  • AB test matrix

Campaign brief fields:

  • objective
  • priorityLanes
  • personaConstraints
  • approvedHookFamilies
  • prohibitedDirections
  • variablesToTest
  • sourceBasis

Concept candidate fields:

  • conceptId
  • problemToCut
  • hookType
  • hookDraft
  • targetLane
  • formatType
  • whyThisFits
  • sourceBasis
  • testVariable

Anti-Patterns

  • vague ideas like "make a productivity video"
  • copying benchmark content without adapting the concrete product variable
  • rewriting concrete benchmark language into abstract brand claims
  • treating raw research as execution-ready without a brief or concept object
  • passing raw research directly into publishing

Handoff

  • Return the structured output or an explicit evidence blocker. Hand off only explicit execution objects to script review, asset generation workflows, or content packaging.

Public Command Boundary

  • Choose the smallest matching command or workflow from the user input and run

it directly.

  • If an owned CLI or script command fails, report the exact error and stop. Do

not bypass the failure with metadata-only answers, readiness probing, local payload rewrites, fallback providers, or unpublished tools.

Related skills

How it compares

Evidence-locked brief compiler—not a generic creative brainstorm or render skill.

FAQ

Who is benchmark-to-brief for?

creators and teams using PostPlus-style agent workflows who validate TikTok/Reels/Shorts patterns before production.

When should I use benchmark-to-brief?

After benchmark research is done in Validate to scope campaigns; before Launch distribution tests when you need hook libraries and test matrices tied to data.

Is benchmark-to-brief safe to install?

It processes your research artifacts locally in the agent context; review the Security Audits panel on this Prism page for the upstream package.

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