roadmap-prioritization-planning

roadmap-prioritization-planning is a skill for Claude Code, Codex from nicepkg/ai-workflow. It costs 34 tokens per session (2,385 once invoked), scanned A, original, MIT.

A planning guide for ranking product ideas, estimating delivery effort, and turning priorities into a focused roadmap. It uses frameworks such as RICE, which compares reach, expected impact, confidence, and effort.

In plain words
What is it for?
Use it to score features, choose roadmap priorities, estimate timelines, and allocate resources across initiatives.
Why use it?
It helps teams make explicit trade-offs when time, people, or budget are limited. This reduces unfocused roadmaps and makes it clearer what to do first.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/nicepkg/ai-workflow/roadmap
Any agent
npx skills add nicepkg/ai-workflow --skill roadmap
Clone the repo
git clone --depth 1 https://github.com/nicepkg/ai-workflow

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 roadmap-prioritization-planning

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicepkg/ai-workflow/roadmap.svg)](https://agentmods.dev/skills/nicepkg/ai-workflow/roadmap)
Your own site
<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/roadmap"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/roadmap.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,385 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00034 $0.02385
Opus 5 $0.00017 $0.01192
Sonnet 5 $0.00007 $0.00477
Haiku 4.5 $0.00003 $0.00238

Measured yesterday against content hash 7850091e4924, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

roadmap-prioritization-planning 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/helper.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

workflows/product-manager-workflow/.claude/skills/roadmap/SKILL.md · 395 lines

How it starts

The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Roadmap & Prioritization Skill

Master the art of saying "no". Create focused roadmaps that align your organization, drive strategic outcomes, and maximize impact with limited resources.

RICE Scoring System (Complete)

Formula

RICE Score = (Reach × Impact × Confidence) / Effort

Reach: How many users affected? (1-100+)
- 10+ = 10
- 100+ = 100
- 1000+ = 1000

Impact: Per-user impact (3, 2, 1, 0.5)
- 3 = Massive (10x improvement)
- 2 = High (significant improvement)
- 1 = Medium (noticeable improvement)
- 0.5 = Low (minor improvement)

Confidence: How confident? (0.25-1.0)
- 1.0 = High (research backed)
- 0.8 = Medium (some validation)
- 0.5 = Low (minimal validation)
- 0.25 = Very low (assumption)

Effort: Engineer-weeks needed (1-20+)

Scoring Example Matrix

Feature          Reach Impact Confidence Effort RICE Score
────────────────────────────────────────────────────────
User Onboarding   50    3      0.8      8      (50×3×0.8)/8 = 15.0
Dark Mode         200   1      0.9      4      (200×1×0.9)/4 = 45.0
API Limits        500   2      0.7      10     (500×2×0.7)/10 = 70.0
Performance Fix   1000  0.5    1.0      5      (1000×0.5×1)/5 = 100.0
Custom Fields     30    3      0.6      12     (30×3×0.6)/12 = 4.5

PRIORITIZE: Performance > API Limits > Dark Mode > Onboarding > Custom Fields

RICE Confidence Levels

High (1.0) - Research-backed

  • Customer interviews conducted
  • Data from analytics
  • Customer support tickets confirming
  • Clear customer demand

Medium (0.8) - Some validation

  • Logical assumption
  • One or two customers requesting
  • Industry trends suggest it
  • Similar features successful elsewhere

Low (0.5) - Minimal validation

  • Educated guess
  • Competitive pressure (they have it)
  • Opportunity emerged
  • Needs deeper validation

Very Low (0.25) - Pure assumption

  • "Seems like good idea"
  • No customer feedback
  • No validation whatsoever
  • High risk of waste

Alternative Prioritization Methods

Value vs Effort Matrix

Read the full file on GitHub · 395 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 395 lines · 34 tokens per session scan A 7850091e4924

Subscribe to this mod's changes

roadmap-prioritization-planning is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 34 tokens to every session and 2,385 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 2026-09-03.

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