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LeanUX Backlog Management Methodology · nwave-ai | DecimalAI

productivityby nwave-ai

LeanUX Backlog Management Methodology

nwave-ai/nw-leanux-methodology

Source nwave-ai/nwave ↗License MIT

LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation

SkillScore95Maintained

On-demandOn-demand: invoked explicitly — never occupies your agent's context until called.

Product Management pack

Last verified 8/16/2026

What it changes

Passed 21 of 22 test cases with the skill, and 11 of 22 without it.

Without skill50%

With skill95%

Checks it passed that the model alone missed

Identifies the Generic Data anti-pattern
Identifies the anti-pattern as Implement-X
States that MoSCoW is assigned during Phase 2 (CRAFT)

and 8 more in the full report

10 fixed11 passed either way1 still failing0 broke

Pass-rate lift: +45 pp
Tokens: +84%
Agent turns: 0%
Response time: -27%

Model gemini-3.6-flashMeasured 8/16/2026v121 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nwave-ai-nw-leanux-methodology/SKILL.md https://app.decimal.ai/s/nwave-ai-nw-leanux-methodology/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nwave-ai-nw-leanux-methodology, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nwave-ai-nw-leanux-methodology/ and pins it in .decimal/skills.lock

decimalai skills add nwave-ai-nw-leanux-methodology

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nwave-ai-nw-leanux-methodology/SKILL.md https://app.decimal.ai/s/nwave-ai-nw-leanux-methodology/SKILL.md

Raw file: /s/nwave-ai-nw-leanux-methodology/SKILL.md ↗ · machine-readable summary at /s/nwave-ai-nw-leanux-methodology.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

Developer Sam is ready to pick up story US-105 from the Ready state and begin development. What mandatory test prerequisite must Sam complete before moving US-105 to In Progress state?

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies that a UAT test must be written in RED state before moving to In Progress	Missed	Passed

case-08 · gemini-3.6-flash · 8/16/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md202 linessingle file

LeanUX Backlog Management Methodology

"A backlog is not a todo list. It's a collection of validated hypotheses waiting to become working software."

Story States

State	Meaning	Entry Criteria
Draft	Idea captured, not validated	Has problem statement
Ready	Validated, has UAT, ready to build	All DoR items complete
In Progress	Actively being built	UAT test written (RED)
In Review	Code complete, awaiting review	All tests green
Done	Merged, deployed, validated	UAT passes in production
Blocked	Cannot proceed	Blocker documented

Story Sizing Criteria

Right-Sized

Completable in 1-3 days | 3-7 UAT scenarios | Delivers demonstrable value | Explainable in 2 minutes

Oversized Indicators

7 UAT scenarios | >3 days effort | Multiple distinct user outcomes | Cannot demonstrate in single session

Splitting Strategy

Split by user outcome, not technical layer. Each resulting story delivers independently demonstrable value.

Example: "User Management" (20 scenarios) splits into:

"Quick Login" (5 scenarios) -- returning customer on trusted device
"New Registration" (4 scenarios) -- first-time customer sign-up
"Password Recovery" (3 scenarios) -- customer who forgot credentials
"Profile Settings" (4 scenarios) -- customer updating preferences

Definition of Ready (DoR) - Hard Gate

Stories pass ALL 8 items before proceeding to DESIGN wave.

Checklist with Pass/Fail Examples

1. Problem statement clear and in domain language

Pass: "Maria wastes 30 seconds typing credentials on every visit"

Track record

Benchmark

21 / 22

test cases passed, vs 11 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nwave-ai / nwave

nWave/skills/nw-leanux-methodology/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

LeanUX Backlog Management Methodology

Story States

Story Sizing Criteria

Right-Sized

Oversized Indicators

Splitting Strategy

Definition of Ready (DoR) - Hard Gate

Checklist with Pass/Fail Examples

Track record

Benchmark

Adoption

SkillSafety

Source

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