
Branch Comparison
- 13 installs
- 7 repo stars
- Updated June 18, 2026
- duc01226/easyplatform
Compares branches, analyzes git diffs, and reviews changes to understand or document what changed.
About
Compares git branches, analyzes diffs, and reviews what changed between them. A developer uses it to understand or document changes and update specs accordingly.
- Compares branches and analyzes git diffs
- Reviews changes and updates specifications based on what changed
Branch Comparison by the numbers
- 13 all-time installs (skills.sh)
- Ranked #410 of 733 Git & Pull Requests skills by installs in the Skillselion catalog
- Data as of Jul 29, 2026 (Skillselion catalog sync)
npx skills add https://github.com/duc01226/easyplatform --skill branch-comparisonAdd your badge
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| Installs | 13 |
|---|---|
| repo stars | ★ 7 |
| Last updated | June 18, 2026 |
| Repository | duc01226/easyplatform ↗ |
What it does
Compares branches, analyzes git diffs, and reviews changes to understand or document what changed.
Files
Codex compatibility note:
>
- Invoke repository skills with$skill-namein Codex; this mirrored copy rewrites legacy Claude/skill-namereferences.
- Task tracker mandate: BEFORE executing any workflow or skill step, create/update task tracking for all steps and keep it synchronized as progress changes.
- User-question prompts mean to ask the user directly in Codex.
- Ignore Claude-specific mode-switch instructions when they appear.
- Strict execution contract: when a user explicitly invokes a skill, execute that skill protocol as written.
- Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required spawn_agent subagent(s) for that task.- Do not skip, reorder, or merge protocol steps unless the user explicitly approves the deviation first.
- For workflow skills, execute each listed child-skill step explicitly and report step-by-step evidence.
- If a required step/tool cannot run in this environment, stop and ask the user before adapting.
<!-- CODEX:PROJECT-REFERENCE-LOADING:START -->
Codex Project-Reference Loading (No Hooks)
Codex does not receive Claude hook-based doc injection. When coding, planning, debugging, testing, or reviewing, open project docs explicitly using this routing.
Always read:
docs/project-config.json(project-specific paths, commands, modules, and workflow/test settings)docs/project-reference/docs-index-reference.md(routes to the fulldocs/project-reference/*catalog)docs/project-reference/lessons.md(always-on guardrails and anti-patterns)
Situation-based docs:
- Backend/CQRS/API/domain/entity changes:
backend-patterns-reference.md,domain-entities-reference.md,project-structure-reference.md - Frontend/UI/styling/design-system:
frontend-patterns-reference.md,scss-styling-guide.md,design-system/README.md - Spec/test-case planning or TC mapping:
feature-docs-reference.md - Integration test implementation/review:
integration-test-reference.md - E2E test implementation/review:
e2e-test-reference.md - Code review/audit work:
code-review-rules.mdplus domain docs above based on changed files
Do not read all docs blindly. Start from docs-index-reference.md, then open only relevant files for the task.
<!-- CODEX:PROJECT-REFERENCE-LOADING:END -->
Quick Summary
Goal: Analyze all file changes between git branches, perform impact analysis, and update specification documents.
Workflow:
1. Discovery — Run git diff/log, classify changes (Frontend/Backend, Feature/Bugfix) 2. Knowledge Graph — Document each changed file with dependencies, impact level, service context 3. Analysis — Code review (strengths, weaknesses, security), refactoring recommendations 4. Approval Gate — Present findings for explicit approval before updating specs 5. Spec Update — Update requirements, tests, architecture docs based on approved analysis
Key Rules:
- All analysis must be evidence-based from actual git diffs
- Proceed past the approval gate only after explicit user approval, never before
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Branch Comparison & Specification Update
You are to operate as an expert full-stack dotnet angular principle developer, software architect, and technical analyst to analyze all file changes between branches, perform comprehensive impact analysis, and update specification documents.
IMPORTANT: Always thinks hard, plan step by step to-do list first before execute. Always remember to-do list, never compact or summary it when memory context limit reach. Always preserve and carry your to-do list through every operation.
---
PHASE 1: EXTERNAL MEMORY-DRIVEN BRANCH ANALYSIS
Build a structured knowledge model in .ai/workspace/analysis/[comparison-name].analysis.md.
PHASE 1A: INITIALIZATION AND DISCOVERY
1. Initialize the analysis file with standard headings
GIT BRANCH ANALYSIS DISCOVERY
GIT_DIFF_COMPREHENSIVE_ANALYSIS: Start with systematic git change detection:
1. Primary Change Detection Commands:
git diff --name-status [source-branch]..[target-branch]
git diff --stat [source-branch]..[target-branch]
git log --oneline [source-branch]..[target-branch]Document results under ## Git Diff Analysis and ## Commit History.
2. Change Impact & Scope Classification: Document under ## Change Classification and ## Change Scope Analysis:
- Types: Frontend, Backend, Config, DB
- Purpose: Feature, Bug Fix, Refactor
RELATED_FILES_COMPREHENSIVE_DISCOVERY: For each changed file, discover all related components:
- Importers
- Dependencies
- Test files
- API consumers
- UI components
Save ALL changed files AND related files to ## Comprehensive File List with:
filePathchangeTyperelationshipTypeimpactLevelserviceContext
INTELLIGENT_SCOPE_MANAGEMENT: If file list exceeds 75, prioritize by impactLevel (Critical > High > Medium > Low).
PHASE 1B: KNOWLEDGE GRAPH CONSTRUCTION
IMPORTANT: MUST ATTENTION DO WITH TODO LIST
For each file, document in ## Knowledge Graph:
- All standard fields from feature-implementation skill
- Focus on change-specific context
PHASE 1C: OVERALL ANALYSIS
Write comprehensive summary showing:
- Complete end-to-end workflows discovered
- Key architectural patterns and relationships
- Business logic workflows affected
- Integration points and dependencies
---
PHASE 2: COMPREHENSIVE ANALYSIS AND PLANNING
Generate detailed analysis under these headings:
1. Code Review Analysis
- Strengths
- Weaknesses
- Security concerns
- Performance implications
- Maintainability
2. Refactoring Recommendations
- Immediate improvements
- Structural changes
- Technical debt items
3. Specification Update Plan
- New Requirements Discovery
- Test Specification Updates
- Documentation Strategy
---
PHASE 3: APPROVAL GATE
CRITICAL: Present comprehensive analysis, code review, refactoring recommendations, and specification update plan for explicit approval. DO NOT proceed without it.
---
PHASE 4: SPECIFICATION UPDATE EXECUTION
Once approved, read existing specification document and update with:
- Requirements
- Test Specifications
- Architecture Documentation
- Code Review findings
---
SUCCESS VALIDATION
Verify updated specification accurately reflects all changes. Document under ## Specification Validation.
---
Branch Comparison Guidelines
- Evidence-Based Analysis: Start with
git diffand base all updates on concrete code changes - Comprehensive Impact Assessment: Analyze direct and indirect effects, including cross-service impacts
- Enterprise Architecture Awareness: Respect platform patterns, CQRS, and Clean Architecture
- Quality-Focused Approach: Perform thorough code review and identify refactoring opportunities
- Specification Completeness: Ensure full traceability between code, requirements, and tests
Related
commitcode-review
---
[IMPORTANT] Use task tracking to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
<!-- SYNC:ai-mistake-prevention -->
AI Mistake Prevention — Failure modes to avoid on every task:
>
Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal.
Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing.
Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain.
Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path.
When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site.
Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code.
Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks.
Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis.
Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly.
Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path.
<!-- /SYNC:ai-mistake-prevention -->
<!-- SYNC:evidence-based-reasoning -->
Evidence-Based Reasoning — Speculation is FORBIDDEN. Every claim needs proof.
>
1. Cite file:line, grep results, or framework docs for EVERY claim2. Declare confidence: >80% act freely, 60-80% verify first, <60% DO NOT recommend
3. Cross-service validation required for architectural changes
4. "I don't have enough evidence" is valid and expected output
>
BLOCKED until:- [ ]Evidence file path (file:line)- [ ]Grep search performed- [ ]3+ similar patterns found- [ ]Confidence level stated
>
Forbidden without proof: "obviously", "I think", "should be", "probably", "this is because"
If incomplete → output: "Insufficient evidence. Verified: [...]. Not verified: [...]."<!-- /SYNC:evidence-based-reasoning -->
<!-- SYNC:critical-thinking-mindset -->
Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act.
Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
<!-- /SYNC:critical-thinking-mindset -->
<!-- SYNC:evidence-based-reasoning:reminder -->
- MANDATORY IMPORTANT MUST ATTENTION cite
file:lineevidence for every claim. Confidence >80% to act, <60% = do NOT recommend.
<!-- /SYNC:evidence-based-reasoning:reminder -->
<!-- SYNC:critical-thinking-mindset:reminder -->
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
<!-- /SYNC:critical-thinking-mindset:reminder -->
<!-- SYNC:ai-mistake-prevention:reminder -->
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
<!-- /SYNC:ai-mistake-prevention:reminder -->
Closing Reminders
- MANDATORY IMPORTANT MUST ATTENTION break work into small todo tasks using task tracking BEFORE starting
- MANDATORY IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
- MANDATORY IMPORTANT MUST ATTENTION cite
file:lineevidence for every claim (confidence >80% to act) - MANDATORY IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using task tracking.
<!-- CODEX:SYNC-PROMPT-PROTOCOLS:START -->
Hookless Prompt Protocol Mirror (Auto-Synced)
Source: .claude/hooks/lib/prompt-injections.cjs + .claude/.ck.json
[WORKFLOW-EXECUTION-PROTOCOL] [BLOCKING] Workflow Execution Protocol — MANDATORY IMPORTANT MUST CRITICAL. Do not skip for any reason.
Generic portability boundary: Reusable skills and protocol text stay project-neutral; project-specific conventions are discovered from docs/project-config.json and docs/project-reference/. Apply shared AI-SDD from shared/sdd-artifact-contract.md. Read docs/project-config.json and docs/project-reference/docs-index-reference.md, then open the project reference docs named there. Any supported AI tool may execute when this shared context and local docs are available.
1. DETECT: Match prompt against workflow catalog 2. ANALYZE: Find best-match workflow AND evaluate if a custom step combination would fit better 3. ASK (REQUIRED FORMAT): Use a direct user question with this structure unless the user explicitly invoked a workflow/skill and the local protocol treats explicit invocation as confirmation:
- Question: "Which workflow do you want to activate?"
- Option 1: "Activate [BestMatch Workflow] (Recommended)"
- Option 2: "Activate custom workflow: [step1 → step2 → ...]" (include one-line rationale)
4. ACTIVATE (if confirmed): Call $workflow-start <workflowId> for standard; sequence custom steps manually 5. CREATE TASKS: task tracking for ALL workflow steps 6. EXECUTE: Follow each step in sequence [CRITICAL-THINKING-MINDSET] Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination principle: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination. AI Attention principle (Primacy-Recency): Put the 3 most critical rules at both top and bottom of long prompts/protocols so instruction adherence survives long context windows. Goal-driven execution: Define success criteria first, loop until verified, and stop only when observable checks pass. Tests verify intent: Tests must protect business rules/invariants and fail when the protected intent breaks, not only mirror current behavior.
[LESSON-LEARNED-REMINDER] [BLOCKING] Task Planning & Continuous Improvement — MANDATORY. Do not skip.
Break work into small tasks (task tracking) before starting. Add final task: "Analyze AI mistakes & lessons learned".
Extract lessons — ROOT CAUSE ONLY, not symptom fixes:
1. Name the FAILURE MODE (reasoning/assumption failure), not symptom — "assumed API existed without reading source" not "used wrong enum value". 2. Generality test: does this failure mode apply to ≥3 contexts/codebases? If not, abstract one level up. 3. Write as a universal rule — strip project-specific names/paths/classes. Useful on any codebase. 4. Consolidate: multiple mistakes sharing one failure mode → ONE lesson. 5. Recurrence gate: "Would this recur in future session WITHOUT this reminder?" — No → skip $learn. 6. Auto-fix gate: "Could $code-review/$code-simplifier/$security/$lint catch this?" — Yes → improve review skill instead. 7. BOTH gates pass → ask user to run $learn. [TASK-PLANNING] [MANDATORY] BEFORE executing any workflow or skill step, create/update task tracking for all planned steps, then keep it synchronized as each step starts/completes.
<!-- CODEX:SYNC-PROMPT-PROTOCOLS:END -->