diff-analysis
SkillDocs & knowledgeAnalyzes changesets with risk scoring, categorization by type and impact, and release note preparation. Use when extracting insights from raw change data.
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the diff-analysis skill
What this skill tells your AI
The instructions your AI receives, as published by athola/claude-night-market in plugins/imbue/skills/diff-analysis/SKILL.md and read by ahel’s review.
Table of Contents
- Overview
- When to Use
- Activation Patterns
- 4-Step Methodology
- Exit Criteria
Diff Analysis Methodology
Overview
Structured method for analyzing changesets: categorize changes, assess risks, generate insights. Works for git diffs, configuration changes, API migrations, schema updates, or document revisions.
When To Use
- Extracting insights from raw change data
- Categorizing and prioritizing changes before code reviews
- Preparing release notes or changelogs
- Assessing migration scope and risk
When NOT To Use
- Quick context catchup - use catchup instead
- Full PR review - use review-core with pensive skills
Activation Patterns
Trigger Keywords: diff, changes, release notes, changelog, migration, impact, risk assessment
Auto-Load When: Git diffs present, change analysis requested, impact assessment needed.
Progressive Loading
Load modules based on workflow stage:
Always Load
modules/semantic-categorization.mdfor change categorization workflow
Conditional Loading
modules/risk-assessment-framework.mdwhen risk assessment is neededmodules/git-diff-patterns.mdwhen working with git repositories
Integration
- Use
sanctum:git-workspace-reviewfor git data gathering - Use
imbue:proof-of-workfor capturing analysis evidence - Use
imbue:structured-outputfor formatting final deliverables
Required TodoWrite Items
diff-analysis:baseline-establisheddiff-analysis:changes-categorizeddiff-analysis:risks-assesseddiff-analysis:summary-prepared
Mark each item complete as you finish the corresponding step.
4-Step Methodology
Step 1: Establish Baseline (diff-analysis:baseline-established)
Define comparison scope: what states are being compared, boundary of analysis, and scale metrics.
For git contexts, load modules/git-diff-patterns.md. For other contexts, compare relevant artifacts.
Step 2: Categorize Changes (diff-analysis:changes-categorized)
Group changes by semantic type. Load modules/semantic-categorization.md for change categories, semantic categories, and prioritization.
Step 3: Assess Risks (diff-analysis:risks-assessed)
Evaluate impact. Load modules/risk-assessment-framework.md for risk indicators, levels, and scoring methodology.
Step 4: Prepare Summary (diff-analysis:summary-prepared)
Synthesize findings: theme, scope with counts, risk level, review focus, dependencies. Format for downstream consumption (PR descriptions, release notes, reviews).
Exit Criteria
- All TodoWrite items completed with categorized changes and risk assessment
- Downstream workflows have semantic understanding of the changeset
- Summary ready for appropriate consumption (review, release notes, planning)
Signals
- GitHub stars
- 337
- Forks
- 34
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
diff-analysis- Source
- github.com/athola/claude-night-market