Skip to content
cccskills
FreePublished on GitHub

template-discovery

Helps find, inspect, and compare .NET project templates. Resolves natural-language project descriptions to ranked template matches with pre-filled parameters. USE FOR: finding the right dotnet new template for a task, comparing templates side by side, inspecting template parameters and constraints, understanding what a template produces before creating a project, resolving intent like "web API with auth" to concrete template + parameters. DO NOT USE FOR: actually creating projects (use template-instantiation), authoring custom templates (use template-authoring), MSBuild or build issues (use dotnet-msbuild plugin), NuGet package management unrelated to template packages.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md4.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Template Discovery

This skill helps an agent find, inspect, and select the right dotnet new template for a given task using dotnet new CLI commands for search, listing, and parameter inspection.

When to Use

  • User asks "What templates are available for X?"
  • User describes a project in natural language ("I need a web API with authentication")
  • User wants to compare templates or understand parameters before creating a project
  • User needs to know what a template produces (files, structure) before committing

When Not to Use

  • User wants to create a project — route to template-instantiation skill
  • User wants to author or validate a custom template — route to template-authoring skill
  • User is troubleshooting build issues — route to dotnet-msbuild plugin

Inputs

InputRequiredDescription
User intent or keywordsYesNatural-language description or keywords (e.g., "web API", "console app", "MAUI")
Language preferenceNoC#, F#, or VB — defaults to C#
Framework preferenceNoTarget framework (e.g., net10.0, net9.0)

Workflow

Step 1: Resolve intent to template candidates

Map the user's natural-language description to template short names using these common keyword mappings:

User IntentTemplateSuggested Parameters
web API, REST APIwebapi--auth Individual --use-controllers if auth requested
web app, websitewebapp
Blazor, interactive webblazor
console app, CLI toolconsole
class library, shared codeclasslib
worker service, background jobworker
gRPC servicegrpc
MAUI app, mobile appmaui
test project, unit testsxunit, mstest, or nunit

Step 2: Search for templates

Use dotnet new search to find templates by keyword across both locally installed templates and NuGet.org:

dotnet new search blazor

Use dotnet new list to show only installed templates, with optional filters:

dotnet new list --language C# --type project
dotnet new list web

Step 3: Inspect template details

Use dotnet new <template> --help to get full parameter details for a specific template — parameter names, types, defaults, and allowed values:

dotnet new webapi --help

Step 4: Preview output

Use dotnet new <template> --dry-run to show what files and directories a template would create without writing anything to disk:

dotnet new webapi --name MyApi --auth Individual --dry-run

Step 5: Present findings

Summarize the best template match with:

  • Template name and short description
  • Key parameters and recommended values
  • What the user should expect (files created, project structure)
  • Any constraints or prerequisites

Validation

  • At least one template match was found for the user's intent
  • Template parameters are explained with types and defaults
  • User understands what the template produces before proceeding to creation

Common Pitfalls

PitfallSolution
Not searching NuGet for templatesIf dotnet new list shows no matches, use dotnet new search <keyword> to find installable templates on NuGet.org.
Not checking template constraintsSome templates require specific SDKs or workloads. Use dotnet new <template> --help to surface constraints before recommending.
Recommending a template without previewing outputAlways use dotnet new <template> --dry-run to confirm the template produces what the user expects.

More Info

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

12-agent academic paper writing pipeline. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX-via-Pandoc/PDF output. Style Calibration + Writing Quality Check + Anti-Patterns with IRON RULE markers. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見.

The English summary is being prepared. Showing the original description.

bouclem/skills7Updated May 31, 2026

Multi-perspective academic paper review with dynamic reviewer personas. Simulates 5 independent reviewers (EIC + 3 peer reviewers + Devil's Advocate) with field-specific expertise. Supports full review, re-review (verification), quick assessment, methodology focus, Socratic guided, and calibration modes. Triggers on: review paper, peer review, manuscript review, referee report, review my paper, critique paper, simulate review, editorial review, calibrate reviewer, reviewer calibration, measure reviewer accuracy.

The English summary is being prepared. Showing the original description.

bouclem/skills7Updated May 31, 2026

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory integrity verification, two-stage peer review, and reproducible quality gates. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow.

The English summary is being prepared. Showing the original description.

bouclem/skills7Updated May 31, 2026

Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.

The English summary is being prepared. Showing the original description.

bouclem/skills7Updated May 31, 2026

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

The English summary is being prepared. Showing the original description.

bouclem/skills7Updated May 31, 2026

AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.

The English summary is being prepared. Showing the original description.

bouclem/skills7Updated May 31, 2026

See all skills by bouclem

Report a problem with this skill