Use this skill when:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionserializationExecute the skills CLI command in your project's root directory to begin installation:
Fetches serialization from aaronontheweb/dotnet-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate serialization. Access via /serialization 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.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
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
0
total installs
0
this week
730
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
730
stars
Use this skill when:
| Aspect | Schema-Based | Reflection-Based |
|---|---|---|
| Examples | Protobuf, MessagePack, System.Text.Json (source gen) | Newtonsoft.Json, BinaryFormatter |
| Type info in payload | No (external schema) | Yes (type names embedded) |
| Versioning | Explicit field numbers/names | Implicit (type structure) |
| Performance | Fast (no reflection) | Slower (runtime reflection) |
| AOT compatible | Yes | No |
| Wire compatibility | Excellent | Poor |
Recommendation: Use schema-based serialization for anything that crosses process boundaries.
| Use Case | Recommended Format | Why |
|---|---|---|
| REST APIs | System.Text.Json (source gen) | Standard, AOT-compatible |
| gRPC | Protocol Buffers | Native format, excellent versioning |
| Actor messaging | MessagePack or Protobuf | Compact, fast, version-safe |
| Event sourcing | Protobuf or MessagePack | Must handle old events forever |
| Caching | MessagePack | Compact, fast |
| Configuration | JSON (System.Text.Json) | Human-readable |
| Logging | JSON (System.Text.Json) | Structured, parseable |
| Format | Problem |
|---|---|
| BinaryFormatter | Security vulnerabilities, deprecated, never use |
| Newtonsoft.Json default | Type names in payload break on rename |
| DataContractSerializer | Complex, poor versioning |
| XML | Verbose, slow, complex |
For JSON serialization, use System.Text.Json with source generators for AOT compatibility and performance.
// Define a JsonSerializerContext with all your types
[JsonSerializable(typeof(Order))]
[JsonSerializable(typeof(OrderItem))]
[JsonSerializable(typeof(Customer))]
[JsonSerializable(typeof(List<Order>))]
[JsonSourceGenerationOptions(
PropertyNamingPolicy = JsonKnownNamingPolicy.CamelCase,
DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull)]
public partial class AppJsonContext : JsonSerializerContext { }
// Serialize with context
var json = JsonSerializer.Serialize(order, AppJsonContext.Default.Order);
// Deserialize with context
var order = JsonSerializer.Deserialize(json, AppJsonContext.Default.Order);
// Configure in ASP.NET Core
builder.Services.ConfigureHttpJsonOptions(options =>
{
options.SerializerOptions.TypeInfoResolverChain.Insert(0, AppJsonContext.Default);
});
Best for: Actor systems, gRPC, event sourcing, any long-lived wire format.
dotnet add package Google.Protobuf
dotnet add package Grpc.Tools
// orders.proto
syntax = "proto3";
message Order {
string id = 1;
string customer_id = 2;
repeated OrderItem items = 3;
int64 created_at_ticks = 4;
// Adding new fields is always safe
string notes = 5; // Added in v2 - old readers ignore it
}
message OrderItem {
string product_id = 1;
int32 quantity = 2;
int64 price_cents = 3;
}
// SAFE: Add new fields with new numbers
message Order {
string id = 1;
string customer_id = 2;
string shipping_address = 5; // NEW - safe
}
// SAFE: Remove fields (old readers ignore unknown, new readers use default)
// Just stop using the field, keep the number reserved
message Order {
string id = 1;
// customer_id removed, but field 2 is reserved
reserved 2;
}
// UNSAFE: Change field types
message Order {
int32 id = 1; // Was: string - BREAKS!
}
// UNSAFE: Reuse field numbers
message Order {
reserved 2;
string new_field = 2; // Reusing 2 - BREAKS!
}
Best for: High-performance scenarios, compact payloads, actor messaging.
dotnet add package MessagePack
dotnet add package MessagePack.Annotations
[MessagePackObject]
public sealed class Order
{
[Key(0)]
public required string Id { get; init; }
[Key(1)]
public required string CustomerId { get; init; }
[Key(2)]
public required IReadOnlyList<OrderItem> Items { get; init; }
[Key(3)]
public required DateTimeOffset CreatedAt { get; init; }
// New field - old readers skip unknown keys
[Key(4)]
public string? Notes { get; init; }
}
// Serialize
var bytes = MessagePackSerializer.Serialize(order);
// Deserialize
var order = MessagePackSerializer.Deserialize<Order>(bytes);
// Use source generator for AOT
[MessagePackObject]
public partial class Order { } // partial enables source gen
// Configure resolver
var options = MessagePackSerializerOptions.Standard
.WithResolver(CompositeResolver.Create(
GeneratedResolver.Instance, 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for serialization matched our evaluation — installs cleanly and behaves as described in the markdown.
serialization reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend serialization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: serialization is focused, and the summary matches what you get after install.
Useful defaults in serialization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend serialization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: serialization is the kind of skill you can hand to a new teammate without a long onboarding doc.
serialization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
serialization reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added serialization from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
showing 1-10 of 27