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ZeroTokenClawZeroTokenClaw/agents-skills/prioritization-advisor/SKILL.md

prioritization-advisor

Skill1 starsChanged 53 days agoLicence not identifiedView on GitHub

Choose a prioritization framework based on stage, team context, and stakeholder needs. Use when deciding between RICE, ICE, value/effort, or another scoring approach.

5 other projects use a version of this, 4 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use derisk-measurement-advisor, organic-growth-advisor and 1 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • DIAL-StudioSkill

    derisk-measurement-advisor

    Identify what to measure, test, or track to de-risk a product or AI idea. Use when stress-testing an idea across internal (DUFV) and external (PESTEL) dimensions.

    Also in 3 projects that use this

  • DIAL-StudioSkill

    organic-growth-advisor

    Identify which organic growth path to pursue — new segments, geographies, channels, or products. Use when diagnosing where a growth constraint lives and which McKinsey growth level to act\

    Also in 3 projects that use this

  • ian-lawrence423Skill

    skill-authoring-workflow

    Create or update repo skills with compliant metadata, dependency contracts, package sync, marketplace descriptions, and validation workflow.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

9 rules. 8 are common, 0 are distinctive, and 1 is very specific to this project.

  • 8

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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