Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Analyzes changesets with risk scoring, categorization by type and impact, and release note preparation. Use when extracting insights from raw change data.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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).
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
中文简介正在准备中。当前显示原文说明。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
中文简介正在准备中。当前显示原文说明。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
中文简介正在准备中。当前显示原文说明。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
中文简介正在准备中。当前显示原文说明。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
中文简介正在准备中。当前显示原文说明。