Generates GitHub Copilot migration instructions by analyzing code differences between project versions.
Works with
Compares two project states (branches, commits, or tags) to extract transformation patterns, API changes, and architectural shifts
Creates a .github/copilot-migration-instructions.md file with mandatory rules, validated transformations, API correspondences, and obsolete patterns to avoid
Supports multiple migration types: framework version upgrades, architecture refactoring, techno
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongenerate-custom-instructions-from-codebaseExecute the skills CLI command in your project's root directory to begin installation:
Fetches generate-custom-instructions-from-codebase from github/awesome-copilot and configures it for Cursor.
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Confirm successful installation by checking the skill directory location:
Restart Cursor to activate generate-custom-instructions-from-codebase. Access via /generate-custom-instructions-from-codebase in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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${MIGRATION_TYPE="Framework Version|Architecture Refactoring|Technology Migration|Dependencies Update|Pattern Changes"}
<!-- Type of migration or evolution -->
${SOURCE_REFERENCE="branch|commit|tag"}
<!-- Source reference point (before state) -->
${TARGET_REFERENCE="branch|commit|tag"}
<!-- Target reference point (after state) -->
${ANALYSIS_SCOPE="Entire project|Specific folder|Modified files only"}
<!-- Scope of analysis -->
${CHANGE_FOCUS="Breaking Changes|New Conventions|Obsolete Patterns|API Changes|Configuration"}
<!-- Main aspect of changes -->
${AUTOMATION_LEVEL="Conservative|Balanced|Aggressive"}
<!-- Level of automation for Copilot suggestions -->
${GENERATE_EXAMPLES="true|false"}
<!-- Include transformation examples -->
${VALIDATION_REQUIRED="true|false"}
<!-- Require validation before application -->
"Analyze code evolution between two project states to generate precise migration instructions for GitHub Copilot. These instructions will guide Copilot to automatically apply the same transformation patterns during future modifications. Follow this methodology:
### Phase 1: Comparative State Analysis
#### Structural Changes Detection
- Compare folder structure between ${SOURCE_REFERENCE} and ${TARGET_REFERENCE}
- Identify moved, renamed, or deleted files
- Analyze changes in configuration files
- Document new dependencies and removed ones
#### Code Transformation Analysis
${MIGRATION_TYPE == "Framework Version" ?
"- Identify API changes between framework versions
- Analyze new features being used
- Document obsolete methods/properties
- Note syntax or convention changes" : ""}
${MIGRATION_TYPE == "Architecture Refactoring" ?
"- Analyze architectural pattern changes
- Identify new abstractions introduced
- Document responsibility reorganization
- Note changes in data flows" : ""}
${MIGRATION_TYPE == "Technology Migration" ?
"- Analyze replacement of one technology with another
- Identify functional equivalences
- Document API and syntax changes
- Note new dependencies and configurations" : ""}
#### Transformation Pattern Extraction
- Identify repetitive transformations applied
- Analyze conversion rules from old to new format
- Document exceptions and special cases
- Create before/after correspondence matrix
### Phase 2: Migration Instructions Generation
Create a `.github/copilot-migration-instructions.md` file with this structure:
\`\`\`markdown
# GitHub Copilot Migration Instructions
## Migration Context
- **Type**: ${MIGRATION_TYPE}
- **From**: ${SOURCE_REFERENCE}
- **To**: ${TARGET_REFERENCE}
- **Date**: [GENERATION_DATE]
- **Scope**: ${ANALYSIS_SCOPE}
## Automatic Transformation Rules
### 1. Mandatory Transformations
${AUTOMATION_LEVEL != "Conservative" ?
"[AUTOMATIC_TRANSFORMATION_RULES]
- **Old Pattern**: [OLD_CODE]
- **New Pattern**: [NEW_CODE]
- **Trigger**: When to detect this pattern
- **Action**: Transformation to apply automatically" : ""}
### 2. Transformations with Validation
${VALIDATION_REQUIRED == "true" ?
"[TRANSFORMATIONS_WITH_VALIDATION]
- **Detected Pattern**: [DESCRIPTION]
- **Suggested Transformation**: [NEW_APPROACH]
- **Required Validation**: [VALIDATION_CRITERIA]
- **Alternatives**: [ALTERNATIVE_OPTIONS]" : ""}
### 3. API Correspondences
${CHANGE_FOCUS == "API Changes" || MIGRATION_TYPE == "Framework Version" ?
"[API_CORRESPONDENCE_TABLE]
| Old API | New API | Notes | Example |
| --------- | --------- | --------- | -------------- |
| [OLD_API] | [NEW_API] | [CHANGES] | [CODE_EXAMPLE] | " : ""} |
### 4. New Patterns to Adopt
[DETECTED_EMERGING_PATTERNS]
- **Pattern**: [PATTERN_NAME]
- **Usage**: [WHEN_TO_USE]
- **Implementation**: [HOW_TO_IMPLEMENT]
- **Benefits**: [ADVANTAGES]
### 5. Obsolete Patterns to Avoid
[DETECTED_OBSOLETE_PATTERNS]
- **Obsolete Pattern**: [OLD_PATTERN]
- **Why Avoid**: [REASONS]
- **Alternative**: [NEW_PATTERN]
- **Migration**: [CONVERSION_STEPS]
## File Type Specific Instructions
${GENERATE_EXAMPLES == "true" ?
"### Configuration Files
[CONFIG_TRANSFORMATION_EXAMPLES]
### Main Source Files
[SOURCE_TRANSFORMATION_EXAMPLES]
### Test Files
[TEST_TRANSFORMATION_EXAMPLES]" : ""}
## Validation and Security
### Automatic Control Points
- Verifications to perform after each transformation
- Tests to run to validate changes
- Performance metrics to monitor
- Compatibility checks to perform
### Manual Escalation
Situations requiring human intervention:
- [COMPLEX_CASES_LIST]
- [ARCHITECTURAL_DECISIONS]
- [BUSINESS_IMPACTS]
## Migration Monitoring
### Tracking Metrics
- Percentage of code automatically migrated
- Number of manual validations required
- Error rate of automatic transformations
- Average migration time per file
### Error Reporting
How to report incorrect transformations to Copilot:
- Feedback patterns to improve rules
- Exceptions to document
- Adjustments to make to instructions
\`\`\`
### Phase 3: Contextual Examples Generation
${GENERATE_EXAMPLES == "true" ?
"#### Transformation Examples
For each identified pattern, generate:
\`\`\`
// BEFORE (${SOURCE_REFERENCE})
[OLD_CODE_EXAMPLE]
// AFTER (${TARGET_REFERENCE})
[NEW_CODE_EXAMPLE]
// COPILOT INSTRUCTIONS
When you see this pattern [TRIGGER], transform it to [NEW_PATTERN] following these steps: [STEPS]
\`\`\`" : ""}
### Phase 4: Validation and Optimization
#### Instructions Testing
- Apply instructions on test code
- Verify transformation consistency
- Adjust rules based on results
- Document exceptions and edge cases
#### Iterative Optimization
${AUTOMATION_LEVEL == "Aggressive" ?
"- Refine rules to maximize automation
- Reduce false positives in detection
- Improve transformation accuracy
- Document lessons learned" : ""}
### Final Result
Migration instructions that enable GitHub Copilot to:
1. **Automatically apply** the same transformations during future modifications
2. **Maintain consistency** with newly adopted conventions
3. **Avoid obsolete patterns** by automatically proposing alternatives
4. **Accelerate future migrations** by capitalizing on acquired experience
5. **Reduce errors** by automating repetitive transformations
These instructions transform Copilot into an intelligent migration assistant, capable of reproducing your technology evolution decisions consistently and reliably.
"
Perfect for documenting the transition from Angular 14 to Angular 17, React Class Components to Hooks, or .NET Framework to .NET Core. Automatically identifies breaking changes and generates corresponding transformation rules.
Essential when replacing a technology entirely: jQuery to React, REST to GraphQL, SQL to NoSQL. Creates a comprehensive migration guide with pattern mappings.
Ideal for large refactorings like Monolith to Microservices, MVC to Clean Architecture, or Component to Composable architecture. Preserves architectural knowledge for future similar transformations.
Useful for adopting new patterns: Repository Pattern, Dependency Injection, Observer to Reactive Programming. Documents the rationale and implementation differences.
Unlike traditional migration documentation, these instructions "train" GitHub Copilot to reproduce your technology evolution decisions automatically during future code modifications.
Transforms specific project experience into reusable rules, avoiding the loss of migration expertise and accelerating future similar transformations.
Instead of generic advice, generates instructions tailored to your specific codebase, with real before/after examples from your project evolution.
Ensures that new code additions automatically follow the new conventions, preventing architectural regression and maintaining code evolution coherence.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
We added generate-custom-instructions-from-codebase from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend generate-custom-instructions-from-codebase for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: generate-custom-instructions-from-codebase is the kind of skill you can hand to a new teammate without a long onboarding doc.
generate-custom-instructions-from-codebase fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
generate-custom-instructions-from-codebase reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for generate-custom-instructions-from-codebase matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in generate-custom-instructions-from-codebase — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
generate-custom-instructions-from-codebase is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: generate-custom-instructions-from-codebase is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: generate-custom-instructions-from-codebase is focused, and the summary matches what you get after install.
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