using-agent-skills

name	using-agent-skills
description	Meta-skill — discovers and invokes the right .NET/C# agent skill from this marketplace for the task at hand. Use when starting a session, when a task doesn't obviously map to a single skill, or when you need a phase-by-phase map of what's available across Define / Plan / Build / Verify / Review / Ship. Governs how every other skill in `dotnet-skills` is discovered and activated.
version	1.0.0
source	rewritten from vendor/agent-skills/skills/using-agent-skills/SKILL.md@44dac80

Using dotnet-skills

Overview

dotnet-skills is a collection of 23 engineering workflow skills organized by development phase, targeted at modern .NET (8+ LTS, C# 12+). Each skill encodes a specific process with concrete dotnet CLI commands, NuGet-ecosystem tooling, and .NET-specific anti-patterns. This meta-skill helps you discover and apply the right skill for your current task.

The plugin is an indirect fork of addyosmani/agent-skills (MIT © 2025 Addy Osmani) with targeted adaptations — see the plugin's README.md and NOTICE.md. The companion avalonia-dev plugin in this marketplace covers structural Avalonia/MAUI reviews (design tokens, project layout, phased migration) and pairs naturally with the frontend-ui-engineering-avalonia skill defined here.

How Skills Activate

Two activation paths, both native to Claude Code plugins:

1. Natural-language triggering — Each skill's YAML description is keyword-dense with .NET vocabulary (.NET 8, C# 12, xUnit, EF Core, Avalonia, dotnet test, FluentValidation, ProblemDetails, …). When your prompt matches, Claude Code offers the skill. You don't type anything special — just describe what you want.
2. Explicit listing — Run /dotnet-skills to see every available skill grouped by phase, with natural-language trigger examples for each. Useful when you don't know the name yet, or when browsing what's possible.

Skills are workflows, not commands. Activation loads the skill's guidance into the agent's context; the agent follows the workflow and applies its verification steps.

Skill Discovery

When a task arrives, identify the development phase and apply the corresponding skill:

Task arrives
    │
    ├── Underspecified ask, unclear intent? ──→ interview-me
    │
    ├── Vague idea, needs refinement? ─────────→ idea-refine
    │
    ├── New .NET project/feature, no spec? ───→ spec-driven-development
    │
    ├── Have a spec, need tasks? ──────────────→ planning-and-task-breakdown
    │
    ├── Implementing code?
    │   ├── Generic: thin vertical slices ────→ incremental-implementation
    │   ├── Avalonia UI work? ─────────────────→ frontend-ui-engineering-avalonia
    │   ├── HTTP / library contract design? ──→ api-and-interface-design
    │   ├── Agent drifting / inventing APIs? ─→ context-engineering
    │   ├── Non-trivial / high-stakes decision?→ doubt-driven-development
    │   ├── Adding logs / metrics / tracing? ─→ observability-and-instrumentation
    │   └── Need doc-verified .NET code? ──────→ source-driven-development
    │
    ├── Testing?
    │   ├── Unit / Prove-It Pattern? ──────────→ test-driven-development
    │   └── HTTP / EF Core / Playwright /
    │       Avalonia.Headless integration? ───→ integration-testing-dotnet
    │
    ├── Something broke? ──────────────────────→ debugging-and-error-recovery
    │
    ├── Reviewing code?
    │   ├── Multi-axis quality review? ────────→ code-review-and-quality
    │   ├── Simplify without changing behavior?→ code-simplification
    │   ├── Security concerns? ────────────────→ security-and-hardening
    │   └── Perf concerns / measurable slow? ──→ performance-optimization-dotnet
    │
    ├── Shipping?
    │   ├── Committing/branching/pre-commit? ──→ git-workflow-and-versioning
    │   ├── CI/CD pipeline work? ──────────────→ ci-cd-and-automation
    │   ├── Writing docs/ADRs? ────────────────→ documentation-and-adrs
    │   ├── Retiring / sunsetting a system? ──→ deprecation-and-migration
    │   └── Deploying/launching? ──────────────→ shipping-and-launch
    │
    └── Meta / unsure which skill? ────────────→ this skill (using-agent-skills)
                                                  or run `/dotnet-skills`

For structural Avalonia/MAUI reviews (design-token audit, project layout, phased migration guidance for 11→12), delegate to the companion avalonia-dev plugin's /avalonia-review command — it complements frontend-ui-engineering-avalonia without duplicating it.

Core Operating Behaviors

These behaviors apply at all times, across every skill. They are non-negotiable.

1. Surface Assumptions

Before implementing anything non-trivial, explicitly state your assumptions:

ASSUMPTIONS I'M MAKING:
1. This is an Avalonia 11 desktop app (not MAUI or WPF)
2. Target framework is net8.0 (LTS), <Nullable>enable</Nullable>
3. EF Core 8 against PostgreSQL for prod, SQLite for tests
4. Testing with xUnit v3 + native `Xunit.Assert`
5. MVVM via CommunityToolkit.Mvvm source generators
→ Correct me now or I'll proceed with these.

Don't silently fill in ambiguous requirements. The most common failure mode is making wrong assumptions and running with them unchecked. Surface uncertainty early — it's cheaper than rework.

2. Manage Confusion Actively

When you encounter inconsistencies, conflicting requirements, or unclear specifications:

1. STOP. Do not proceed with a guess.
2. Name the specific confusion.
3. Present the tradeoff or ask the clarifying question.
4. Wait for resolution before continuing.

Bad: Silently picking one interpretation and hoping it's right. Good: "The spec calls for Minimal APIs, but MyApp/Controllers/AuthController.cs uses classic controllers. Which takes precedence — spec or existing convention?"

3. Push Back When Warranted

You are not a yes-machine. When an approach has clear problems:

• Point out the issue directly
• Explain the concrete downside (quantify when possible — "this FromSqlRaw with interpolation is a SQL-injection vector under the current request handler", not "this might be unsafe")
• Propose an alternative ("switch to FromSqlInterpolated — EF Core parameterizes automatically")
• Accept the human's decision if they override with full information

Sycophancy is a failure mode. "Of course!" followed by implementing a bad idea helps no one. Honest technical disagreement — grounded in specific observations from the codebase — is more valuable than false agreement.

4. Enforce Simplicity

Your natural tendency is to overcomplicate. Actively resist it.

Before finishing any implementation, ask:

• Can this be done in fewer lines?
• Are these abstractions earning their complexity?
• Would a staff .NET engineer look at this and say "why didn't you just use record / IOptions<T> / pattern matching?"
• Is a generic IEventBus<T> really better than one method call?

If you build 1000 lines of code and 100 would suffice, you have failed. Prefer the boring, obvious solution. Cleverness is expensive. See code-simplification for the detailed treatment.

5. Maintain Scope Discipline

Touch only what you're asked to touch.

Do NOT:

• Remove XML doc comments or code comments you don't fully understand
• "Clean up" code orthogonal to the task
• Reorder using directives in files you're not modifying
• Modernize syntax (primary constructors, collection expressions, switch expressions) in files you're only reading
• Refactor adjacent systems as a side effect
• Delete code that seems unused without explicit approval (check for reflection / analyzer-generated references first)
• Add features not in the spec because they "seem useful"

Your job is surgical precision, not unsolicited renovation.

6. Verify, Don't Assume

Every skill includes a verification step. A task is not complete until verification passes. "Seems right" is never sufficient — there must be evidence:

• dotnet test green, with visible test count
• dotnet build -warnaserror clean, with analyzer diagnostics resolved at source (not suppressed)
• dotnet format --verify-no-changes clean
• Manual UI check for visible features (Avalonia: headless test or screenshot; Blazor: Playwright assertion)
• Specific before/after numbers for performance work

Failure Modes to Avoid

These are the subtle errors that look like productivity but create problems:

1. Making wrong assumptions without checking — especially about TargetFramework, <Nullable>, or whether a project uses CommunityToolkit.Mvvm vs ReactiveUI
2. Not managing your own confusion — plowing ahead when lost
3. Not surfacing inconsistencies you notice
4. Not presenting tradeoffs on non-obvious decisions
5. Being sycophantic ("Of course!") to approaches with clear problems (.Result in a request path, FromSqlRaw with interpolation, Microsoft.EntityFrameworkCore.InMemory for integration tests)
6. Overcomplicating code and APIs — generic abstractions before the third use case demands them
7. Modifying code or comments orthogonal to the task
8. Removing things you don't fully understand (especially analyzer-driven or source-generated files)
9. Building without a spec because "it's obvious"
10. Skipping verification because "it looks right" — the JIT, analyzers, and runtime diagnostics find things your eyes don't

Skill Rules

1. Check for an applicable skill before starting work. Skills encode processes that prevent common mistakes.

2. Skills are workflows, not suggestions. Follow the steps in order. Don't skip verification steps.

3. Multiple skills can apply. A feature implementation typically chains several — see the Lifecycle Sequence below.

4. When in doubt, start with a spec. If the task is non-trivial and there's no spec, begin with spec-driven-development.

5. Version-aware skills detect their target. Skills that branch on framework version (currently frontend-ui-engineering-avalonia for Avalonia 11 vs 12) read Directory.Packages.props / .csproj before applying patterns. When the project's stack is unclear, source-driven-development is the right first stop.

6. Skipped upstream content is intentional. Upstream's scripts/idea-refine.sh bash helper is deliberately not ported. docs/ideas/ is treated as a path convention, nothing more.

Lifecycle Sequence

For a complete .NET feature, the typical skill sequence is:

1.  interview-me                        → (If ask is underspecified) Extract true intent before anything exists
2.  idea-refine                         → Refine vague ideas into a "Not Doing" list
3.  spec-driven-development             → Define what we're building (with .NET 8 / C# 12 tech stack pinned)
4.  planning-and-task-breakdown         → Break into verifiable tasks with dotnet CLI verification
5.  context-engineering                 → Load CLAUDE.md + .editorconfig + the right source files
6.  source-driven-development           → Cite Microsoft Learn + framework docs at the pinned version
7.  incremental-implementation          → Build slice by slice, dotnet test between each
8.  observability-and-instrumentation   → Instrument as you build — ILogger + System.Diagnostics.Metrics + OpenTelemetry
9.  doubt-driven-development            → Adversarially review non-trivial decisions while course-correction is cheap
10. frontend-ui-engineering-avalonia    → (If UI) Production-quality Avalonia view with compiled bindings
11. api-and-interface-design            → (If HTTP/library) Stable DTOs in MyApp.Contracts
12. test-driven-development             → Unit tests with xUnit/MSTest + TimeProvider for determinism
13. integration-testing-dotnet          → HTTP (WebApplicationFactory), DB (Testcontainers), browser (Playwright), desktop (Avalonia.Headless)
14. performance-optimization-dotnet     → (If perf-sensitive) Measure first with BenchmarkDotNet, fix the real bottleneck
15. code-review-and-quality             → Five-axis review with .NET-specific checks
16. code-simplification                 → Post-feature simplification pass
17. security-and-hardening               → Full .NET security sweep before merge
18. git-workflow-and-versioning         → Atomic commits, pre-commit via Husky.Net
19. ci-cd-and-automation                → GitHub Actions with setup-dotnet + gates
20. documentation-and-adrs              → XML doc comments on public API, ADR for non-obvious decisions
21. deprecation-and-migration           → (If replacing) [Obsolete] + strangler pattern
22. shipping-and-launch                 → Pre-launch checklist, staged rollout, rollback plan

Not every task needs every skill. A bug fix might only need:

debugging-and-error-recovery  →  test-driven-development  →  code-review-and-quality

A performance hotfix:

performance-optimization-dotnet  →  integration-testing-dotnet  →  code-review-and-quality

A schema migration:

spec-driven-development  →  deprecation-and-migration  →  integration-testing-dotnet  →  shipping-and-launch

Quick Reference

Phase	Skill	One-Line Summary
Define	interview-me	Extract the user's true intent before plan/spec/code — one question at a time to ~95% confidence
Define	idea-refine	Refine ideas through structured divergent and convergent thinking
Define	spec-driven-development	Requirements and acceptance criteria before code, with a .NET-flavored template
Plan	planning-and-task-breakdown	Decompose into small tasks with dotnet CLI verification
Build	incremental-implementation	Thin vertical slices; dotnet test + dotnet build -warnaserror between each
Build	observability-and-instrumentation	Instrument as you build — structured ILogger, System.Diagnostics.Metrics, OpenTelemetry, symptom-based alerts
Build	doubt-driven-development	Adversarial fresh-context review of non-trivial decisions while course-correction is cheap
Build	source-driven-development	Cite Microsoft Learn / framework docs for every framework-specific decision
Build	context-engineering	Right CLAUDE.md + .editorconfig + source files at the right time
Build	frontend-ui-engineering-avalonia	Production-quality Avalonia 11/12 UIs with compiled bindings + theming + accessibility
Build	api-and-interface-design	Stable HTTP/library contracts with C# records + ProblemDetails + FluentValidation
Verify	test-driven-development	Failing test first, then GREEN; dual xUnit + MSTest, TimeProvider/FakeTimeProvider
Verify	integration-testing-dotnet	WebApplicationFactory<T>, Testcontainers, Microsoft.Playwright, Avalonia.Headless.XUnit
Verify	debugging-and-error-recovery	Reproduce → localize → fix → guard; dotnet test --filter + EF Core LogTo
Review	code-review-and-quality	Five-axis review with async correctness, DI lifetimes, EF Core N+1 checks
Review	code-simplification	Reduce C# complexity without changing behavior; switch expressions, records, LINQ discipline
Review	security-and-hardening	Full .NET security: FluentValidation + EF Core + ASP.NET Core Identity / JWT + Data Protection + rate limiting
Review	performance-optimization-dotnet	Measure first with BenchmarkDotNet; fix EF Core N+1, sync-over-async, Gen2 pressure, HttpClient misuse
Ship	git-workflow-and-versioning	Atomic commits, Husky.Net pre-commit, .gitignore for bin/obj/.vs
Ship	ci-cd-and-automation	GitHub Actions / Azure DevOps with setup-dotnet, quality gates, NuGet publish
Ship	documentation-and-adrs	XML doc comments + Swashbuckle OpenAPI + ADRs for EF Core / framework decisions
Ship	deprecation-and-migration	[Obsolete], strangler pattern, IOptionsMonitor feature flags, NuGet unlist
Ship	shipping-and-launch	Pre-launch checklist, IOptions<FeatureOptions>, Application Insights, EF Core migration rollback

Pointers Out

• Plugin README: ../../README.md
• Attribution + license: ../../NOTICE.md, ../../LICENSES/agent-skills-MIT.txt
• Per-skill upstream provenance: the "Source & Modifications" footer on every ported SKILL.md in this plugin
• Upstream repository (authoritative for re-sync status): https://github.com/addyosmani/agent-skills
• Companion plugin for structural Avalonia reviews: ../../../avalonia-dev/README.md (/avalonia-review)

Verification

This is a meta-skill — its "verification" is that the other skills activate cleanly:

• /dotnet-skills lists every skill in the plugin, grouped by phase, with trigger examples
• A natural-language prompt matching a skill's description (e.g. "help me spec out a new C# service") activates the right skill
• The discovery tree above maps every reasonable task type to at least one skill
• No dangling references to upstream skill names that were renamed in this plugin (frontend-ui-engineering → frontend-ui-engineering-avalonia; browser-testing-with-devtools → integration-testing-dotnet; performance-optimization → performance-optimization-dotnet)
• The Lifecycle Sequence matches the actual set of ported skills in skills/

---

Source & Modifications

• Upstream: https://github.com/addyosmani/agent-skills/blob/44dac80216da709913fb410f632a65547866346f/skills/using-agent-skills/SKILL.md
• Pinned commit: 44dac80216da709913fb410f632a65547866346f (synced 2026-04-19)
• Status: rewritten — upstream and downstream now have different skill inventories (we renamed three skills and skipped one upstream helper script), so re-syncing this specific file against upstream no longer produces useful deltas. Per-skill re-syncs for the other 23 skills remain worthwhile; this file's upstream will be re-read on major upstream changes but not line-diffed.
• Rationale: the meta skill's job is to reflect our marketplace's skill inventory, not upstream's. As long as the names, phases, and activation story diverge, a faithful port of upstream's prose would actively mislead readers. Preserving the skeleton (discovery tree, core operating behaviors, failure modes, lifecycle sequence, quick reference) keeps the conceptual continuity with upstream readers; the content fills in our specifics.
• What changed:
  • Plugin-specific overview: names this plugin (dotnet-skills), credits Addy Osmani upstream, cross-references the companion avalonia-dev plugin
  • New "How Skills Activate" section explaining Claude Code's two activation paths (natural-language description matching + /dotnet-skills explicit listing)
  • Discovery tree retargeted: renames three skills (integration-testing-dotnet, frontend-ui-engineering-avalonia, performance-optimization-dotnet), adds code-simplification / deprecation-and-migration branches (upstream omits them from its tree), directs structural Avalonia reviews to the companion avalonia-dev plugin
  • Core Operating Behaviors preserved as the six-section spine with .NET-flavored examples throughout (Avalonia/EF Core assumptions, FromSqlRaw push-back, IOptions<T> simplicity call-out, using directive + source-generated file scope discipline)
  • Added a "Skill Rules" rule about version-aware skills (frontend-ui-engineering-avalonia branches on Avalonia 11 vs 12 by reading Directory.Packages.props)
  • Added a "Skill Rules" rule about the deliberately-skipped upstream scripts/idea-refine.sh
  • Lifecycle Sequence rewritten as a 22-step flow covering every linear-flow skill by our naming, with three realistic short-flow examples (bug fix, perf hotfix, schema migration)
  • Quick Reference table rewritten row-by-row with our skill names, our one-line .NET-flavored summaries, and markdown links to each skill's SKILL.md
  • New "Pointers Out" section linking to README, SYNC.md, UPSTREAM.md, NOTICE.md, LICENSES, and the companion avalonia-dev plugin
  • Verification checklist rewritten as five meta-checks (including "no dangling references to renamed upstream skills")
  • All references to upstream-only concerns (Chrome DevTools MCP as the implicit browser-testing activation path) removed
• Preserved from upstream: six Core Operating Behaviors structure (Surface Assumptions / Manage Confusion / Push Back / Enforce Simplicity / Maintain Scope / Verify), the ten-item Failure Modes list shape, the Skill Rules numbered format, the Phase → Skill → Summary table shape, the overall section ordering
• Upstream sync 2026-06-14 (plugin v2.6.0) — inventory grew 20 → 23 non-meta skills. Added interview-me (Define), doubt-driven-development (Build), and observability-and-instrumentation (Build, "instrument as you build") to the count, discovery tree, Lifecycle Sequence (now 22 linear steps, observability placed next to implementation per upstream PR), and Quick Reference. Observability is grouped under Build here (honoring its instrument-as-you-build principle) rather than upstream CLAUDE.md's Ship grouping.
• License: MIT © 2025 Addy Osmani — see ../../LICENSES/agent-skills-MIT.txt