Generative-AI-for-beginners-dotnet: Skill for Claude Code

.github/skills/error-recovery/SKILL.md

error-recovery is a skill for Claude Code, Codex from microsoft/Generative-AI-for-beginners-dotnet. It costs 24 tokens per session (785 once invoked), scanned A, a copy of error-recovery, MIT.

A standard process for recovering when an agent or development task fails. It covers retrying temporary errors, switching to an alternative method, and diagnosing build, test, or lint failures.

In plain words
What is it for?
Handling timeouts and rate limits, trying fallback tools, reading error output, applying targeted fixes, and deciding when to escalate.
Why use it?
It turns failures into a sequence of possible next actions instead of stopping after reporting an error.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

This is microsoft/Generative-AI-for-beginners-dotnet's own configuration. It tells Claude Code and Codex how to work on Generative-AI-for-beginners-dotnet itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Generative-AI-for-beginners-dotnet configures →

About the project

Generative AI for Beginners .NET is a hands-on course that teaches .NET developers to build applications using generative AI models and related tools. Its lessons use practical samples covering scenarios such as chat, audio transcription, agents, and local AI. The catalogue entries are add-ons associated with the course repository.

microsoft/Generative-AI-for-beginners-dotnet · 3,052 stars · on GitHub · aka.ms

Reuse

Borrowing it

Nothing to install: this file belongs to microsoft/Generative-AI-for-beginners-dotnet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/microsoft/Generative-AI-for-beginners-dotnet/main/.github/skills/error-recovery/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/microsoft/Generative-AI-for-beginners-dotnet

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for error-recovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/error-recovery/github.svg)](https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/error-recovery)
Your own site
<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/error-recovery"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/error-recovery/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for error-recovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/generative-ai-for-beginners-dotnet/error-recovery"><img src="https://agentmods.dev/badge/skills/microsoft/generative-ai-for-beginners-dotnet/error-recovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 785 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00785
Opus 5 $0.00012 $0.00392
Sonnet 5 $0.00005 $0.00157
Haiku 4.5 $0.00002 $0.00078

Measured 9d ago against content hash a6bc62ea076c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

error-recovery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to error-recovery — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/skills/error-recovery/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Error Recovery Patterns

Standard recovery patterns for all squad agents. When something fails, adapt — don't just report the failure.


1. Retry with Backoff

When: Transient failures — API timeouts, rate limits, network errors, temporary service unavailability.

Pattern:

  1. Wait briefly, then retry (start at 2s, double each attempt)
  2. Maximum 3 retries before escalating
  3. Log each attempt with the error received

Example: API call returns 429 Too Many Requests → wait 2s → retry → wait 4s → retry → wait 8s → retry → escalate if still failing.


2. Fallback Alternatives

When: Primary tool or approach fails and an alternative exists.

Pattern:

  1. Attempt primary approach
  2. On failure, identify alternative tool/method
  3. Try the alternative with the same intent
  4. Document which alternative was used and why

Example: Primary CLI tool fails → fall back to direct API call for the same operation.


3. Diagnose-and-Fix

When: Build failures, test failures, linting errors — structured errors with actionable output.

Pattern:

  1. Read the full error output carefully
  2. Identify the root cause from error messages
  3. Attempt a targeted fix
  4. Re-run to verify the fix
  5. Maximum 3 fix-retry cycles before escalating

Example: Build fails with a type error → check for missing import → add it → rebuild.


4. Escalate with Context

When: Recovery attempts have been exhausted, or the failure requires human judgment.

Pattern:

  1. Summarize what was attempted and what failed
  2. Include the exact error messages
  3. State what you believe the root cause is
  4. Suggest next steps or who might be able to help
  5. Hand off to the coordinator or the appropriate specialist

Example: After 3 failed build attempts → "Build fails on line 42 with null reference. Tried X, Y, Z. Likely a design issue in the Foo module. Recommend the code owner review."


5. Graceful Degradation

When: A non-critical step fails but the overall task can still deliver value.

Read the full file on GitHub · 100 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 100 lines · 24 tokens per session scan A a6bc62ea076c

Subscribe to this mod's changes

error-recovery is a skill published in the GitHub repository microsoft/Generative-AI-for-beginners-dotnet (3,052 stars, last pushed 8d ago), licensed MIT. It adds 24 tokens to every session and 785 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to error-recovery, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

diagnose

Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.

emdash-cms/emdash · 43 tokens

repro-admin

Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.

emdash-cms/emdash · 48 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens