cross-documentation-verification
Verify consistency and alignment across multiple documentation artifacts (epics, features, waves, ADRs, architecture docs) to detect conflicts, gaps, duplication, and misalignment. Identifies when new features contradict existing patterns, when ADRs conflict, when wave plans deviate from feature specifications, and when implementation docs drift from architecture. Use when finalizing features, before wave implementation, after architecture changes, during conformance reviews, or when detecting documentation drift.
DeepseekModel
官方收录技能
质量 良好 · 48
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=onshoreoutsourcing-lighthouse-beacon-claude-skills-cross-documentation-verification-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name cross-documentation-verification description Verify consistency and alignment across multiple documentation artifacts (epics, features, waves, ADRs, architecture docs) to detect conflicts, gaps, duplication, and misalignment. Identifies when new features contradict existing patterns, when ADRs conflict, when wave plans deviate from feature specifications, and when implementation docs drift from architecture. Use when finalizing features, before wave implementation, after architecture changes, during conformance reviews, or when detecting documentation drift. Cross-Documentation Verification Verifies consistency and alignment across multiple documentation artifacts to detect conflicts, gaps, duplication, and misalignment. Quick Start Verify feature aligns with architecture: "Verify feature-5.1 is consistent with Architecture.md and related ADRs" Check wave aligns with feature: "Check wave-5.1.1 plan aligns with feature-5.1 specification" Find conflicting ADRs: "Verify all ADRs are consistent with each other, identify conflicts" Core Workflow Step 1: Identify Documentation Scope Determine which documents to verify: For Feature Verification : Target: Docs/implementation/_main/feature-{n}.{m}-{name}.md Check against: Docs/architecture/_main/05-Architecture.md Docs/architecture/decisions/ADR-*.md (relevant ADRs) Parent epic: Docs/planning/_main/epic-{n}-{name}.md Related features: Other feature-{n}.* files For Wave Verification : Target: Docs/implementation/iterations/wave-{n}.{m}.{s}-{name}.md Check against: Parent feature: feature-{n}.{m}-{name}.md Architecture docs Relevant ADRs Previous waves from same feature For ADR Consistency : Target: All Docs/architecture/decisions/ADR-*.md Check for: Conflicting decisions Superseded ADRs not marked Missing dependencies between ADRs For Architecture Drift : Target: Docs/architecture/_main/05-Architecture.md Check against: Recent feature plans Recent wave implementations ADRs created after architecture doc Step 2: Extract Key Elements For each document, extract: Architecture Documents Component structure Technology stack Design patterns Data flow API standards Integration points ADRs Decision made Technology/pattern required Constraints imposed Superseded decisions Related ADRs Epic Plans Epic scope Success criteria Constraints Dependencies Planned features Feature Plans Feature scope Technical approach Architecture decisions Technology choices Integration points Planned waves Dependencies on other features Wave Plans Wave scope User stories included Implementation approach Technical decisions Dependencies Step 3: Run Cross-Verification Checks Execute verification checks from references/verification-checklist.md : Hierarchical Consistency ✅ Epic → Feature → Wave alignment : Feature scope fits within epic scope? Wave deliverables match feature requirements? No scope creep or deviation? ✅ Dependencies resolved : All referenced dependencies exist? Dependency versions consistent? Circular dependencies detected? Technical Consistency ✅ Technology Stack : All features use approved technologies? No conflicting framework versions? Technology choices consistent across features? ✅ Design Patterns : Pattern usage consistent across features? No contradictory pattern guidance? Patterns match ADR decisions? ✅ API Contracts : Endpoint naming consistent? Response formats aligned? Versioning strategy consistent? Decision Consistency ✅ ADR Conflicts : No contradictory ADRs? Superseded ADRs properly marked? ADR dependencies documented? ✅ Feature-ADR Alignment : Features follow ADR decisions? Deviations justified and documented? New patterns have ADRs? Content Consistency ✅ Duplication : No duplicate content across docs? Single source of truth maintained? Cross-references used appropriately? ✅ Gaps : All referenced docs exist? No missing sections? All decisions documented? Step 4: Identify Issues Categorize findings: CONFLICT (🔴) : Must resolve before proceeding Feature contradicts ADR decision Wave scope differs from feature specification ADRs make contradictory decisions Technology stack mismatch GAP (🟡) : Should fill, may cause confusion Missing ADR for new pattern Undocumented dependency Missing cross-reference Incomplete section DUPLICATION (🟠) : Should consolidate Same information in multiple places Contradictory versions of same info Redundant documentation DRIFT (🔵) : Consider updating Architecture doc outdated Feature doesn't match current patterns ADR no longer relevant Step 5: Generate Verification Report Create report in Docs/reports/verification/cross-doc-{artifact}-{date}.md : # Cross-Documentation Verification Report **Target** : [Document being verified] **Date** : YYYY-MM-DD **Documents Checked** : X documents across Y categories ## Executive Summary [1-2 sentence summary of consistency status] ## Consistency Score: XX/100 ## Conflicts (Must Resolve) ### Conflict 1: [Description] - **Location 1** : [Doc A: section/line] - **Location 2** : [Doc B: section/line] - **Conflict** : [What contradicts] - **Impact** : [Why this matters] - **Resolution** : [How to resolve] ## Gaps (Should Fill) [Similar format] ## Duplication (Should Consolidate) [Similar format] ## Drift (Consider Updating) [Similar format] ## Positive Findings - ✅ [What aligns well] - ✅ [What aligns well] ## Recommendations 1. [Action item 1] 2. [Action item 2] Use scripts/calculate_consistency_score.py to compute overall score. Key Concepts Cross-Documentation Verification : Process of checking multiple documents for consistency, conflicts, gaps, and duplication Hierarchical Consistency : Alignment across Epic → Feature → Wave hierarchy Technical Consistency : Alignment of technology choices, patterns, and approaches across features Decision Consistency : Alignment of architectural decisions across ADRs Content Consistency : Avoidance of duplication and gaps in documentation Consistency Score : 0-100 metric calculated as: Conflicts: -20 points each Gaps: -5 points each Duplication: -3 points each Drift: -1 point each Base: 100 points Minimum: 0 points Available Resources Scripts scripts/calculate_consistency_score.py — Calculates consistency score from issue counts python scripts/calculate_consistency_score.py --conflicts 1 --gaps 3 --duplication 2 --drift 5 # Output: Consistency Score: 68/100 scripts/find_cross_references.py — Finds all cross-references between documents python scripts/find_cross_references.py --doc feature-5.1-global-services.md # Output: JSON map of all referenced documents scripts/detect_duplication.py — Detects duplicate content across documents python scripts/detect_duplication.py -- dir Docs/ # Output: List of duplicate content blocks with similarity scores References references/verification-checklist.md — Comprehensive checklist of verification points references/common-conflicts.md — Examples of common documentation conflicts references/consistency-patterns.md — Patterns for maintaining consistency Verification Phases Phase 1: Feature Design Verification When : During /design-features (after Step 4 - Document ADRs) Focus : Feature consistency with architecture and ADRs Output : Feature alignment report Gate : Medium threshold (70+ score to proceed) Phase 2: Wave Design Verification When : During /design-waves (before implementation) Focus : Wave plan consistency with feature specification Output : Wave alignment report Gate : High threshold (80+ score to implement) Phase 3: Post-Wave Verification When : During /implement-waves (after completion) Focus : Implementation matches wave plan and feature spec Output : Implementation alignment report Gate : Critical threshold (90+ score for production) Phase 4: Architecture Review When : Periodic (quarterly or after major changes) Focus : Overall documentation consistency Output : Architecture consistency report Gate : Informational (no blocking) Common Conflict Patterns Conflict 1: Technology Mismatch Issue: Feature specifies React, ADR requires Vue Check: Compare feature tech stack against ADR decisions Fix: Update feature to use ADR technology or create new ADR Conflict 2: Pattern Contradiction Issue: Feature A uses singleton, Feature B uses factory for same concern Check: Compare pattern usage across related features Fix: Align on single pattern or document when each applies Conflict 3: API Contract Deviation Issue: Wave plan changes API format from feature specification Check: Compare wave API design against feature API contract Fix: Restore feature contract or update feature doc with justification Conflict 4: Superseded ADR Issue: Feature follows ADR-010, but ADR-025 supersedes it Check: Verify ADR status and superseded relationships Fix: Update feature to follow current ADR Output Format Console Output : Cross-Documentation Verification ================================ Target: feature-5.1-global-services-foundation.md Documents Checked: 8 (Architecture, 3 ADRs, Epic-5, 3 related features) Consistency Score: 82/100 ✅ Conflicts: 1 🔴 Feature specifies FastAPI, ADR-001 requires Express.js Gaps: 2 🟡 No ADR for caching strategy mentioned in feature 🟡 Missing cross-reference to dependent feature-4.3 Duplication: 1 🟠 Architecture section duplicated in feature and epic Drift: 3 🔵 Architecture doc doesn't mention new microservices pattern 🔵 Feature approach differs slightly from established pattern 🔵 ADR-015 may be outdated Positive Findings: ✅ Epic scope alignment perfect ✅ All dependencies properly documented ✅ Naming conventions consistent Recommendation: REVISE - Resolve conflict before implementation Report: Docs/reports/verification/cross-doc-feature-5.1-2025-01-21.md Integration with Workflow /design-features integration : ## Step 5: Verify Cross-Documentation Consistency After completing feature design: - Invoke `cross-documentation-verification` skill - Review consistency report - Resolve CONFLICTS before proceeding - Document GAPS as follow-up tasks /design-waves integration : ## Step 3: Verify Wave-Feature Alignment Before finalizing wave plan: - Verify wave aligns with parent feature - Check for scope creep or deviation - Ensure all dependencies resolved - Score ≥80 required before creating work items /implement-waves integration : ## Step 6: Verify Implementation Alignment After wave completion: - Verify implementation matches wave plan - Check implementation matches feature spec - Verify no undocumented architecture changes - Score ≥90 required for merge Periodic Architecture Review : ## Quarterly Documentation Audit Every quarter: - Run cross-verification on all features - Check ADR consistency - Update architecture doc if drifted - Consolidate duplicate content Success Criteria ✅ Consistency score calculated accurately ✅ All conflicts identified with locations ✅ All gaps documented ✅ Duplication detected with similarity scores ✅ Drift areas identified ✅ Report generated in standard format ✅ Decision made (PROCEED/REVISE/BLOCK) based on score Tips for High Consistency Cross-reference early - Link documents as you create them Single source of truth - Avoid duplicating content Update related docs - When changing one doc, update references Mark superseded decisions - Keep ADR status current Verify iteratively - Check at design, pre-implementation, post-implementation Use verification hooks - Automate verification in workflow Maintain traceability - Epic → Feature → Wave → User Story → Task Examples Example 1: Feature Verification Command : "Verify feature-5.1-global-services aligns with Architecture.md and ADRs" Process : Read feature-5.1-global-services.md Read Docs/architecture/_main/05-Architecture.md Identify relevant ADRs (ADR-018 singleton, ADR-012 security) Extract key elements from each Run verification checks Generate report Report Findings : ✅ Architecture alignment: Good 🔴 Conflict: Feature uses MongoDB, ADR-003 requires PostgreSQL 🟡 Gap: No ADR for caching strategy 🟠 Duplication: Tech stack listed in feature and epic Score : 72/100 (1 conflict, 1 gap, 1 duplication) Recommendation : REVISE - Fix database choice Example 2: Wave-Feature Verification Command : "Verify wave-5.1.1 aligns with feature-5.1-global-services" Process : Read wave-5.1.1-foundation-setup.md Read feature-5.1-global-services.md Extract scope and technical approach Compare wave deliverables against feature requirements Check for scope creep or deviation Report Findings : ✅ Scope alignment: Perfect match ✅ Technical approach: Follows feature specification 🔵 Drift: Wave adds logging detail not in feature (minor enhancement) Score : 99/100 (0 conflicts, 0 gaps, 0 duplication, 1 drift) Recommendation : PROCEED - Minor drift is acceptable enhancement Example 3: ADR Consistency Check Command : "Check all ADRs for conflicts and missing superseded markings" Process : Read all ADR files in Docs/architecture/decisions/ Extract decisions, status, superseded relationships Build decision dependency graph Check for conflicts and missing relationships Report Findings : 🔴 Conflict: ADR-010 requires REST, ADR-020 requires GraphQL (same API) 🟡 Gap: ADR-015 superseded by ADR-025, but not marked ✅ All other ADRs consistent Score : 85/100 (1 conflict, 1 gap) Recommendation : REVISE - Clarify REST vs GraphQL decision Last Updated : 2025-01-21
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |