Backlog Prioritizer
by Indy Agent
Prioritize your backlog with RICE, MoSCoW, or Kano — framework selected based on your context.
- Scoring features before quarterly planning
- Aligning stakeholders on release scope with MoSCoW
- Running Kano analysis during product discovery
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Scoring features before quarterly planning
- Aligning stakeholders on release scope with MoSCoW
- Ready for Claude Code
Sample input
I need to prioritize these 4 features for Q3: dark mode, bulk export, SSO login, and in-app notifications. Our main goal is reducing churn.
Sample output
📊 RICE Prioritization
Recommended framework: RICE — you have a clear goal (reduce churn) and multiple features to compare objectively.
| # | Item | Reach | Impact | Confidence | Effort | RICE Score | |---|---|---|---|---|---|---| | 1 | SSO login | 800 | 3 | 80% | 3 | 640 | | 2 | Bulk export | 400 | 2 | 90% | 2 | 360 | | 3 | In-app notifications | 600 | 1 | 70% | 4 | 105 | | 4 | Dark mode | 1000 | 0.5 | 80% | 2 | 200 |
🏆 Recommended focus order:
- SSO login — RICE: 640 — High-value retention lever; enterprise users blocked without it
- Bulk export — RICE: 360 — Addresses power user churn, low effort
- Dark mode — RICE: 200 — High reach but low churn impact; consider deferring
- In-app notifications — RICE: 105 — High effort, low confidence; needs scoping
⚠️ Flags:
- In-app notifications scored on assumptions — validate scope before committing
- Dark mode: high reach but weak churn signal — confirm with retention data
Backlog Prioritizer
by Indy Agent
Prioritize your backlog with RICE, MoSCoW, or Kano — framework selected based on your context.
$7
· or 35 creditsSecure checkout via Stripe
Included in download
- Scoring features before quarterly planning
- Aligning stakeholders on release scope with MoSCoW
- Ready for Claude Code
- Instant install
Sample input
I need to prioritize these 4 features for Q3: dark mode, bulk export, SSO login, and in-app notifications. Our main goal is reducing churn.
Sample output
📊 RICE Prioritization
Recommended framework: RICE — you have a clear goal (reduce churn) and multiple features to compare objectively.
| # | Item | Reach | Impact | Confidence | Effort | RICE Score | |---|---|---|---|---|---|---| | 1 | SSO login | 800 | 3 | 80% | 3 | 640 | | 2 | Bulk export | 400 | 2 | 90% | 2 | 360 | | 3 | In-app notifications | 600 | 1 | 70% | 4 | 105 | | 4 | Dark mode | 1000 | 0.5 | 80% | 2 | 200 |
🏆 Recommended focus order:
- SSO login — RICE: 640 — High-value retention lever; enterprise users blocked without it
- Bulk export — RICE: 360 — Addresses power user churn, low effort
- Dark mode — RICE: 200 — High reach but low churn impact; consider deferring
- In-app notifications — RICE: 105 — High effort, low confidence; needs scoping
⚠️ Flags:
- In-app notifications scored on assumptions — validate scope before committing
- Dark mode: high reach but weak churn signal — confirm with retention data
Screenshots
About This Skill
A Claude Code skill that prioritizes your backlog using the right framework for your situation. Reads your context, recommends RICE / MoSCoW / Kano, scores each item with rationale, and flags dependencies and assumptions. Install SKILL.md in your Claude Code project. Triggers on: "prioritize my backlog", "apply RICE", "help me decide what to build next", "rank these features". What it does: - Reads your goal, audience, and constraints before recommending a framework - Auto-calculates RICE scores; assigns MoSCoW and Kano categories with rationale - Flags dependencies, effort outliers, and items scored on assumptions - Surfaces conflicts between scoring and instincts — without overriding your judgment - Outputs a ranked, decision-ready table Three frameworks, one skill: RICE for objective scoring, MoSCoW for release scoping, Kano for discovery. What's included: SKILL.md + installation instructions.
Use Cases
- Scoring features before quarterly planning
- Aligning stakeholders on release scope with MoSCoW
- Running Kano analysis during product discovery
- Cutting a bloated backlog before sprint planning
- Ranking bug fixes vs features objectively
Known Limitations
RICE scoring requires numeric estimates from the user — the skill cannot pull data from Jira or analytics tools automatically. For Kano analysis, results are based on user-provided context rather than actual customer survey data. Works best when the user provides at least 3-10 items to prioritize.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/backlog-prioritizer -o /tmp/backlog-prioritizer.zip && unzip -o /tmp/backlog-prioritizer.zip -d ~/.claude/skills && rm /tmp/backlog-prioritizer.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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