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Skill Product Backlog Prioritization

ASecurity

Guidelines for managing and prioritizing the Product Backlog using WSJF.

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  • Added October 9, 2026
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Scanned October 9, 2026

npx -y skills add MatrixFounder/Agentic-development --skill skill-product-backlog-prioritization --agent claude-code

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SKILL.md
---
name: skill-product-backlog-prioritization
description: Guidelines for managing and prioritizing the Product Backlog using WSJF.
tier: 2
version: 1.0
---

# Backlog Prioritization (WSJF)

## 1. Objective
To prioritize features scientifically using **Weighted Shortest Job First (WSJF)**.

## 2. Logic Locker (CRITICAL)
> [!IMPORTANT]
> **FORBIDDEN ACTION:** You are **strictly forbidden** from calculating WSJF scores manually or mentally.
> Humans and LLMs are bad at floating point arithmetic. Use the script.

## 3. Core Tooling
You MUST use the provided Python script to calculate scores and sort the backlog.

### How to Prioritize
Run the following command:
```bash
python3 [skill_path]/scripts/calculate_wsjf.py --file docs/PRODUCT_BACKLOG.md
```
> **Note:** `[skill_path]` is the path to this skill (e.g. `.agent/skills/skill-product-backlog-prioritization`).

## 4. Scoring Components
When adding a new item to the Backlog, you must estimate:
1.  **User Value (UV):** Relative value to the customer (1-10).
2.  **Time Criticality (TC):** Is there a deadline? (1-10).
3.  **Risk Reduction (RR):** Does this open new options or fix security? (1-10).
4.  **Job Size (JS):** Estimate of effort. Support "T-Shirt Sizes" (XS, S, M, L, XL) or relative fibonacci (1, 2, 3, 5, 8, 13, 20).
    - XS / ~1d -> 1
    - S / ~2-3d -> 2
    - M / ~1w -> 5
    - L / ~1m -> 13
    - XL / ~2m+ -> 20

**Formula (Handled by Script):** `WSJF = (UV + TC + RR) / Job Size`

## 5. Artifact Standards
See `examples/backlog_table_example.md` for the correct table format.
The table MUST include all 4 input columns and the `WSJF` output column.

Files in this skill

  • SKILL.md1.6 KB
  • examples/backlog_table_example.md542 B
  • scripts/calculate_wsjf.py10.9 KB

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