prioritization-advisor

prioritization-advisor is a skill for Claude Code, Codex from getcrew44/crew44. It costs 41 tokens per session (3,835 once invoked), scanned A, original, MIT.

A decision guide for choosing a product-prioritization method. It compares approaches such as RICE, ICE, value-versus-effort, and the Kano model, which rank work in different ways.

In plain words
What is it for?
Use it when deciding which features, ideas, or strategic bets should be worked on first.
Why use it?
It helps teams avoid choosing a scoring method that does not fit their product stage, information, or decision.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when deciding which features, ideas, or strategic bets should be worked on first.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/getcrew44/crew44/prioritization-advisor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add getcrew44/crew44 --skill prioritization-advisor
Clone the repo
git clone --depth 1 https://github.com/getcrew44/crew44

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for prioritization-advisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/getcrew44/crew44/prioritization-advisor.svg)](https://agentmods.dev/skills/getcrew44/crew44/prioritization-advisor)
Your own site
<a href="https://agentmods.dev/skills/getcrew44/crew44/prioritization-advisor"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/prioritization-advisor.svg" alt="Measured on agentmods" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,835 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.03835
Opus 5 $0.00020 $0.01917
Sonnet 5 $0.00008 $0.00767
Haiku 4.5 $0.00004 $0.00383

Measured 7d ago against content hash f4833703f60e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

prioritization-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

daemon/internal/presets/defaultcrew/skills/product/prioritization-advisor/SKILL.md · 449 lines

How it starts

The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Guide product managers in choosing the right prioritization framework by asking adaptive questions about product stage, team context, decision-making needs, and stakeholder dynamics. Use this to avoid "framework whiplash" (switching frameworks constantly) or applying the wrong framework (e.g., using RICE for strategic bets or ICE for data-driven decisions). Outputs a recommended framework with implementation guidance tailored to your context.

This is not a scoring calculator—it's a decision guide that matches prioritization frameworks to your specific situation.

Key Concepts

The Prioritization Framework Landscape

Common frameworks and when to use them:

Scoring frameworks:

  • RICE (Reach, Impact, Confidence, Effort) — Data-driven, requires metrics
  • ICE (Impact, Confidence, Ease) — Lightweight, gut-check scoring
  • Value vs. Effort (2x2 matrix) — Quick wins vs. strategic bets
  • Weighted Scoring — Custom criteria with stakeholder input

Strategic frameworks:

  • Kano Model — Classify features by customer delight (basic, performance, delight)
  • Opportunity Scoring — Rate importance vs. satisfaction gap
  • Buy-a-Feature — Customer budget allocation exercise
  • Moscow (Must, Should, Could, Won't) — Forcing function for hard choices

Contextual frameworks:

  • Cost of Delay — Urgency-based (time-sensitive features)
  • Impact Mapping — Goal-driven (tie features to outcomes)
  • Story Mapping — User journey-based (narrative flow)

Why This Works

  • Context-aware: Matches framework to product stage, team maturity, data availability
  • Anti-dogmatic: No single "best" framework—it depends on your situation
  • Actionable: Provides implementation steps, not just framework names

Anti-Patterns (What This Is NOT)

  • Not a universal ranking: Frameworks aren't "better" or "worse"—they fit different contexts
  • Not a replacement for strategy: Frameworks execute strategy; they don't create it
  • Not set-it-and-forget-it: Reassess frameworks as your product matures

Read the full file on GitHub · 449 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 449 lines · 41 tokens per session scan A f4833703f60e

Subscribe to this mod's changes

prioritization-advisor is a skill published in the GitHub repository getcrew44/crew44 (359 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 3,835 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

telegram

Owner-only Telegram text bridge and Mini App gateway for the existing Ouroboros interface.

razzant/ouroboros · 19 tokens

claudexor

Use the local Claudexor control plane for harness-agnostic coding work across Claude Code, Codex, Cursor, and OpenCode. Use when a task benefits from route-aware harness and account selection, quota-aware account rotation, shared thread context, read-only planning or research, best-of-N execution, or cross-harness…

razzant/claudexor · 73 tokens

openai-docs

Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use…

rojim666/SztuCode · 105 tokens

Presentations

Read, create or edit PowerPoint or Google Slides decks. Use for presentation, slide deck, PowerPoint, PPT, PPTX, or Google Slides requests.

rojim666/SztuCode · 35 tokens

knowledge

The owner's knowledge base: a markdown folder that is also a typed graph of people, projects, decisions and terms, via the kb CLI. Use BEFORE answering anything about the owner, who they work with, what a project or term means, or what was decided and why; record durable facts unasked. Not for facts about the code.

intentic/intentic · 72 tokens

google

Gmail, Google Calendar, Drive, Docs, Sheets and Contacts for a connected Google account: read and search mail, send and reply, book and move meetings, find files, read and write Docs and Sheets, look people up. Use whenever the user mentions their email, inbox, calendar, meetings, Drive, a Google Doc or Sheet.

intentic/intentic · 71 tokens