Guide · Agent skill
How to use the Prioritize Feature Backlog agent skill
Updated · written with AI from the project's own documentation and checked against our catalogue data
The Prioritize Feature Backlog skill (skill name prioritize-features) is a set of written instructions that tells an AI assistant how to rank a list of product feature ideas. It is aimed at product managers, founders and small teams who need to decide what to build next. After this guide you will know what the skill does, how to install it, how to ask for it in plain language, and what to check before trusting the output.
Quick start
- 1Download the ZIP. Get the prioritize-features ZIP from the skill's page on this site.
- 2Unzip the folder. Extract the archive so you have a prioritize-features folder containing SKILL.md.
- 3Place it in the skills folder. Move the folder to ~/.claude/skills/ for all projects, or to .claude/skills/ inside one project.
- 4Or upload in the Claude apps. Alternatively, go to Settings → Capabilities → Skills and upload the ZIP.
- 5State your objective. Describe the product goal and success metrics along with your feature list.
- 6Review the top 5. Check the rationale, trade-offs and deprioritized items, and test the assumptions behind the scores.
What is an agent skill, and what does this one do?
An agent skill is a folder containing a SKILL.md file. The file holds instructions that an AI assistant reads when a task matches the skill's description. This skill's description covers prioritizing a feature backlog, making scope decisions and ranking product ideas.
When you give the assistant a list of feature ideas, the skill tells it to score each one on four things: impact, effort, risk and strategic alignment with your product goals. It then recommends a ranked top 5. For each pick it explains the rationale, the trade-offs considered, and what was deprioritized and why. It can also present the results as a prioritization table.
- Impact: how much the feature moves the outcomes you care about, using Opportunity Score if customer data is available.
- Effort: development, design and coordination required.
- Risk: how much uncertainty exists and which assumptions need testing.
- Strategic alignment: how well the feature fits the product vision and current goals.
Install the prioritize-features skill
Download the ZIP file from the skill's page on this site. Unzip it to get the prioritize-features folder containing SKILL.md. Put that folder in one of these locations:
To make the skill available across your projects, unzip it into ~/.claude/skills/. To make it available only inside one project, unzip it into that project's .claude/skills/ folder.
You can also upload the ZIP in the Claude apps under Settings → Capabilities → Skills.
- Personal install: ~/.claude/skills/
- Project install: .claude/skills/ inside your project folder
- Claude apps: Settings → Capabilities → Skills, then upload the ZIP
Trigger the skill with natural requests
You do not need a special command. The skill is meant to be picked up when your request matches its description, so ask in ordinary words. Phrases that match the skill's stated use cases include prioritizing a feature backlog, making scope decisions, and ranking product ideas.
The skill works best when you state your product objective and success metrics up front, because the instructions begin by confirming them. If you have a spreadsheet or backlog file, attach it or point the assistant to it, since the skill tells the assistant to read and analyze provided files directly.
- "Prioritize this feature backlog for our Q3 goal of reducing churn. Give me the top 5 with reasons."
- "We have a release with room for five features. Help me make the scope decision from this list."
- "Rank these product ideas and show the trade-offs in a table."
- "Here is our backlog spreadsheet. Score each item and suggest whether we should use ICE or RICE."
What the output looks like
The skill asks for a clear ranking from 1 to 5, a brief rationale for each selection, the key trade-offs, and a list of what was deprioritized with reasons. It may also produce a prioritization table. If the output is substantial, the instructions tell the assistant to save it as markdown.
The skill's framework guidance recommends Opportunity Score for evaluating customer problems, using Importance multiplied by (1 minus Satisfaction), normalized to 0 to 1. It also describes ICE, where Impact is Opportunity Score times number of customers, multiplied by Confidence and Ease, and RICE, which adds Reach as a separate factor for larger teams. The skill advises prioritizing problems (opportunities) rather than solutions.
What you need and safety notes
The skill lists no required tools or packages. It does not run scripts and does not use the network, according to its listing. It is licensed under MIT.
The skill is a lightweight framework guide. Its scores are only as good as the inputs. If you have no real customer data, the assistant is working from guesses, and the resulting numbers can look more precise than they are. Treat the ranking as a structured starting point for discussion, not as evidence.
- Requires: nothing listed
- Runs scripts: no
- Uses network: no
- Licence: MIT
Tips for better results
Give the assistant real inputs. Customer data, usage numbers and team capacity make the impact and effort scores more grounded. Ask it to name the assumptions behind each score, since the skill's risk criterion is about what needs testing.
Ask for the deprioritized list as well as the top 5. The trade-off explanations are often the most useful part when you need to justify a decision to stakeholders.
- Name the product objective and success metric in your first message.
- Attach the backlog file rather than pasting a long list.
- Ask which scoring method fits your team size and data, and why.
- Re-run with different assumptions to see whether the top 5 changes.
What people use it for
- Choosing five features for the next release from a long backlog.
- Making scope cuts when a team has less capacity than planned.
- Comparing product ideas and writing a rationale that stakeholders can read.
- Turning a spreadsheet of ideas into a scored, ranked table.
- Deciding between Opportunity Score, ICE and RICE for a given team.
Frequently asked questions
How do I install the prioritize-features skill?
Download the ZIP from this site and unzip it to get the prioritize-features folder with SKILL.md. Place it in ~/.claude/skills/ for all projects or in a project's .claude/skills/ folder for one project. You can also upload the ZIP in the Claude apps under Settings → Capabilities → Skills.
Does the prioritize-features skill require anything else to run?
The listing says it requires nothing and does not run scripts or use the network. It is a set of instructions for the AI assistant, so you need an assistant that can read skills.
Is the prioritize-features skill free to use?
The skill is licensed under MIT. The listing does not state any price, so check the MIT licence text for the terms that apply to reuse.
What is the difference between ICE and RICE in this skill?
ICE scores Impact, Confidence and Ease, where Impact is Opportunity Score times number of customers. RICE adds Reach as a separate factor and is recommended for larger teams, according to the skill's framework guidance.
Can the skill replace a formal, audited prioritization process?
No. The listing says it is a lightweight framework guide, so highly regulated or safety-critical prioritization that needs a formal, audited process should use a different method.
Why do the scores look wrong or too precise?
The scores depend on your inputs. Without real customer data, the assistant is estimating, and the numbers can look more exact than they are. Add data where you have it and test the assumptions behind the top picks.
New agent skills, repos and AI tools — every week
The best new skills and open-source projects, the fastest-growing repos, and one free prompt. Five minutes to read. Unsubscribe anytime.
Our verdict
Use this skill if you are a product manager, founder or small team who wants a structured, written rationale for ranking a feature backlog and you can supply some real context. Pick something else if you need a formal, audited prioritization process, or if your decision depends on customer data the assistant cannot see.
Download the skill