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/profiling

Use the free official .NET diagnostics CLI tools for profiling and runtime investigation in .NET repositories. USE FOR: the repo needs performance or runtime profiling for a .NET application; the user asks about slow code, high CPU, GC pressure, allocation growth, exception

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Install
$ npx -y skills add managedcode/dotnet-skills --skill profiling --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/profiling

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use the free official .NET diagnostics CLI tools for profiling and runtime investigation in .NET repositories. USE FOR: the repo needs performance or runtime profiling for a .NET application; the user asks about slow code, high CPU, GC pressure, allocation growth, exception

SKILL.md

profiling.SKILL.md
name: profiling
description: "Use the free official .NET diagnostics CLI tools for profiling and runtime investigation in .NET repositories. USE FOR: the repo needs performance or runtime profiling for a .NET application; the user asks about slow code, high CPU, GC pressure, allocation growth, exception storms, lock. DO NOT USE FOR: replacing realistic performance tests or load tests with ad-hoc tracing alone; production heap collection when the pause risk has not been. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made."
compatibility: "Requires a .NET app or process to inspect; respects the repo's `AGENTS.md` commands first."

.NET Profiling

Trigger On

  • the repo needs performance or runtime profiling for a .NET application
  • the user asks about slow code, high CPU, GC pressure, allocation growth, exception storms, lock contention, or startup diagnostics
  • the team wants official CLI-based diagnostics without depending on `dnx`

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • replacing realistic performance tests or load tests with ad-hoc tracing alone
  • production heap collection when the pause risk has not been accepted
  • GUI-only workflows that the repo cannot automate or document

Inputs

  • the nearest `AGENTS.md`
  • target application, process, or startup path
  • the symptom being investigated: CPU, memory, GC, contention, exceptions, or startup

Quick Start

1. Read the nearest `AGENTS.md` and confirm scope and constraints. 2. Run this skill's `Workflow` through the `Ralph Loop` until outcomes are acceptable. 3. Return the `Required Result Format` with concrete artifacts and verification evidence.

Workflow

1. Build and run a realistic target first:

  • prefer `Release`
  • prefer realistic config, inputs, and data volume

2. Start with the lightest useful tool:

  • `dotnet-counters` for live health signals
  • `dotnet-trace` for CPU, exception, contention, GC, and startup traces
  • `dotnet-gcdump` for managed heap inspection when memory shape matters

3. Prefer installed CLI tools over `dnx` one-shot execution so the repo commands stay stable and reproducible. 4. Capture one focused profile at a time instead of mixing every signal into one run. 5. For CPU and general runtime hotspots, start with `dotnet-trace collect`. 6. For live triage, start with `dotnet-counters monitor` on `System.Runtime`. 7. For heap analysis, use `dotnet-gcdump` carefully and document the pause risk. 8. After each change, rerun the same measurement path and compare before versus after.

Bootstrap When Missing

If official .NET profiling tools are not available yet:

1. Detect current state:

  • `dotnet --info`
  • `dotnet tool list --global`
  • `command -v dotnet-counters`
  • `command -v dotnet-trace`
  • `command -v dotnet-gcdump`

2. Choose the install path deliberately:

  • preferred machine-level install:
  • `dotnet tool install --global dotnet-counters`
  • `dotnet tool install --global dotnet-trace`
  • `dotnet tool install --global dotnet-gcdump`
  • direct-download fallback when global tools are not suitable:
  • use the official Microsoft Learn download links for `dotnet-counters`, `dotnet-trace`, and `dotnet-gcdump`

3. Verify the installed tools resolve correctly:

  • `dotnet-counters --version`
  • `dotnet-trace --version`
  • `dotnet-gcdump --version`

4. Record exact profiling commands in `AGENTS.md`, for example:

  • `dotnet-counters monitor --process-id PID --counters System.Runtime`
  • `dotnet-trace collect --process-id PID --profile dotnet-common,dotnet-sampled-thread-time -o trace.nettrace`
  • `dotnet-gcdump collect --process-id PID --output heap.gcdump`

5. Run one bounded command and return `status: configured` or `status: improved`. 6. If the repo intentionally standardizes on another profiling stack and does not want these tools, return `status: not_applicable`.

Deliver

  • explicit official .NET profiling commands
  • a clear profiling path for CPU, counters, and heap inspection
  • reproducible diagnostics commands that humans and agents can rerun

Validate

  • the chosen tool matches the actual symptom
  • commands target a realistic process and configuration
  • before/after comparisons use the same scenario
  • heap collection warnings are explicit when `dotnet-gcdump` is used

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

1. Plan first (mandatory):

  • analyze current state
  • define target outcome, constraints, and risks
  • write a detailed execution plan
  • list final validation skills to run at the end, with order and reason

2. Execute one planned step and produce a concrete delta. 3. Review the result and capture findings with actionable next fixes. 4. Apply fixes in small batches and rerun the relevant checks or review steps. 5. Update the plan after each iteration. 6. Repeat until outcomes are acceptable or only explicit exceptions remain. 7. If a dependency is missing, bootstrap it or return `status: not_applicable` with explicit reason and fallback path.

Required Result Format

  • `status`: `complete` | `clean` | `improved` | `configured` | `not_applicable` | `blocked`
  • `plan`: concise plan and current iteration step
  • `actions_taken`: concrete changes made
  • `validation_skills`: final skills run, or skipped with reasons
  • `verification`: commands, checks, or review evidence summary
  • `remaining`: top unresolved items or `none`

For setup-only requests with no execution, return `status: configured` and exact next commands.

Load References

  • [references/commands.md](references/commands.md)
  • [references/patterns.md](references/
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