prioritize

prioritize is a skill for Claude Code from whawkinsiv/solo-founder-skills. It costs 88 tokens per session (1,581 once invoked), scanned A, original, MIT.

A product-planning guide for choosing which features to build first. It uses RICE scoring, a method for comparing reach, impact, confidence, and effort, and helps define a small first version.

In plain words
What is it for?
Collecting feature ideas, scoring candidates, selecting an MVP, testing product assumptions, and creating a practical roadmap.
Why use it?
It turns a long list of ideas into a ranked set of decisions. This reduces time spent building low-value features and makes the key assumptions explicit.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the solo-founder-skills plugin — 54 skills, 1 command shipped together

Good fit Collecting feature ideas, scoring candidates, selecting an MVP, testing product assumptions, and creating a practical roadmap.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/whawkinsiv/solo-founder-skills/prioritize
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 whawkinsiv/solo-founder-skills --skill prioritize
Clone the repo
git clone --depth 1 https://github.com/whawkinsiv/solo-founder-skills

Made for: Claude Code.

Or install solo-founder-skills, the plugin that ships this one along with the rest of its 54 skills, 1 command.

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 prioritize

README.md
[![agentmods](https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/prioritize/github.svg)](https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/prioritize)
Your own site
<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/prioritize"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/prioritize/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for prioritize

Your own site · 80×15
<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/prioritize"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/prioritize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,581 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00088 $0.01581
Opus 5 $0.00044 $0.00790
Sonnet 5 $0.00018 $0.00316
Haiku 4.5 $0.00009 $0.00158

Measured 13d ago against content hash 43ae5b20d7b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

prioritize 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 13d 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.

skills/prioritize/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Strategy & Prioritization

The hardest product decision is what NOT to build. This skill helps you evaluate ideas, score features, and decide what to work on next — so you build the thing that matters most.

Core Principles

  • Features don't win markets. Solving a painful problem better than anyone else does.
  • Ship the smallest thing that tests the biggest assumption.
  • Product work is hypothesis testing, not feature delivery.
  • Roadmaps are communication tools, not promises.
  • For solo founders: do ONE thing well before adding the next.

Workflow

Prioritization Process:
- [ ] List all feature candidates
- [ ] Score each with RICE
- [ ] Cut anything scoring below threshold
- [ ] Define MVP scope for the winner
- [ ] Write the spec (see plan skill)
- [ ] Build it

Step 1: List Your Candidates

Gather every idea, request, and "we should build..." into one place.

Tell AI:

Help me organize feature candidates for prioritization:
- Product: [what it does]
- Current stage: [pre-launch / 0-$1K MRR / $1K-$10K MRR]
- Current pain points: [what users are asking for or struggling with]

Here are my feature ideas:
1. [Feature idea]
2. [Feature idea]
3. [Feature idea]
4. [Feature idea]

For each, identify: what user problem it solves, who it helps, and whether it drives
acquisition, activation, retention, or revenue.

Step 2: Score with RICE

Factor Question Scale
R — Reach How many users will this affect in the next quarter? Number of users
I — Impact How much will it move the key metric? 3=massive, 2=high, 1=medium, 0.5=low
C — Confidence How sure are you about reach and impact? 100%, 80%, 50%
E — Effort Person-weeks of engineering time? Weeks

Score = (Reach x Impact x Confidence) / Effort

Rank by score, but use judgment — scores are conversation starters, not final answers.

Tell AI:

Score these features using RICE prioritization:

[Paste your feature list]

For our context:
- Total active users: [number]
- Key metric we're trying to improve: [activation rate / retention / revenue / etc.]
- My capacity: [solo founder / one developer / small team]

Create a table: Feature | Reach | Impact | Confidence | Effort | RICE Score | Rank
Then recommend which to build first and why — don't just go by the numbers.

Read the full file on GitHub · 214 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. 13d ago First seen · 214 lines · 88 tokens per session scan A 43ae5b20d7b1

Subscribe to this mod's changes

prioritize is a skill published in the GitHub repository whawkinsiv/solo-founder-skills (243 stars, last pushed 16d ago), licensed MIT. It adds 88 tokens to every session and 1,581 once invoked, about $0.0004 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.

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