Analyzes changesets with risk scoring, categorization by type and impact, and release note preparation. Use when extracting insights from raw change data.
npx skills add https://github.com/athola/claude-night-market --skill diff-analysis
Structured method for analyzing changesets: categorize changes, assess risks, generate insights. Works for git diffs, configuration changes, API migrations, schema updates, or document revisions.
Trigger Keywords: diff, changes, release notes, changelog, migration, impact, risk assessment
Auto-Load When: Git diffs present, change analysis requested, impact assessment needed.
Load modules based on workflow stage:
modules/semantic-categorization.md for change categorization workflowmodules/risk-assessment-framework.md when risk assessment is neededmodules/git-diff-patterns.md when working with git repositoriessanctum:git-workspace-review for git data gatheringimbue:proof-of-work for capturing analysis evidenceimbue:structured-output for formatting final deliverablesdiff-analysis:baseline-establisheddiff-analysis:changes-categorizeddiff-analysis:risks-assesseddiff-analysis:summary-preparedMark each item complete as you finish the corresponding step.
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.
diff-analysis:changes-categorized)Group changes by semantic type. Load modules/semantic-categorization.md for change categories, semantic categories, and prioritization.
diff-analysis:risks-assessed)Evaluate impact. Load modules/risk-assessment-framework.md for risk indicators, levels, and scoring methodology.
diff-analysis:summary-prepared)Synthesize findings: theme, scope with counts, risk level, review focus, dependencies. Format for downstream consumption (PR descriptions, release notes, reviews).
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
Comprehensive GitHub code review with AI-powered swarm coordination
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Use this skill to review code. It supports both local changes (staged or working tree) and remote Pull Requests (by ID or URL). It focuses on correctness, maintainability, and adherence to project standards.
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
Take athola/diff-analysis from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.