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backlog-grooming-assistant

Backlog Grooming Assistant - Auto-activating skill for Enterprise Workflows. Triggers on: backlog grooming assistant, backlog grooming assistant Part of the Enterprise Workflows skill category.

34

1.01x

Quality

0%

Does it follow best practices?

Impact

98%

1.01x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/20-enterprise-workflows/backlog-grooming-assistant/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

100%

Sprint Backlog Refinement for a SaaS Onboarding Feature

User story grooming and validation

Criteria
Without context
With context

Step-by-step output structure

100%

100%

User story format used

100%

100%

Acceptance criteria present

100%

100%

Story IDs assigned

100%

100%

Story point estimate

100%

100%

Validation report produced

100%

100%

INVEST criteria checked

100%

100%

Failures flagged

100%

100%

Recommended remediation

100%

100%

Production-ready formatting

100%

100%

Without context: $0.3943 · 2m 15s · 17 turns · 18 in / 6,761 out tokens

With context: $0.4648 · 2m 20s · 23 turns · 332 in / 7,092 out tokens

95%

1%

Backlog Triage for a Regulated Financial Services Platform

Compliance and governance backlog tagging

Criteria
Without context
With context

Domain tags applied

100%

100%

Correct tag vocabulary

100%

100%

Risk levels assigned

100%

100%

Compliance review flags

100%

100%

Sensitive items flagged

100%

100%

High risk rationale

100%

100%

Aggregate counts in summary

100%

100%

Enterprise domain coverage

100%

100%

Validation approach documented

40%

50%

Production-ready structure

100%

100%

Without context: $0.3327 · 1m 31s · 15 turns · 16 in / 5,436 out tokens

With context: $0.4107 · 1m 47s · 21 turns · 55 in / 6,232 out tokens

99%

2%

Decomposing an Enterprise Integration Initiative into Sprint-Ready Stories

Enterprise integration story decomposition

Criteria
Without context
With context

Step-by-step breakdown documented

100%

100%

All 5 integration touchpoints covered

100%

100%

Integration pattern named

100%

100%

Source and target systems

100%

100%

Story IDs assigned

100%

100%

Acceptance criteria per story

100%

100%

Error handling addressed

100%

100%

Data transformation / canonical model

100%

100%

Dependencies identified

100%

100%

Integration tag applied

62%

87%

Production-ready format

100%

100%

Without context: $0.3258 · 2m · 12 turns · 13 in / 6,587 out tokens

With context: $0.5824 · 3m 2s · 23 turns · 283 in / 10,377 out tokens

Repository
jeremylongshore/claude-code-plugins-plus-skills
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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