Datadog, Inc.
Official@datadog · New York
Offers specialized engineering diagnostics for .NET tracer instrumentation, Rust performance optimization, and secure POSIX-compliant shell environment validation.
Agent Skills by Datadog, Inc.
Showing 40 vetted skills indexed across 7 GitHub repositories.
DataDogbump-libdatadog
Updates libdatadog-dotnet version pins and checksums across CMake and vcpkg build files.
DataDogdebug-build-times
Diagnose slow venv builds caused by unnecessary native extension recompilation across riot runs.
DataDogcircular-import-analysis
Detect circular imports in ddtrace and propose architectural fixes for dependency cycles.
DataDogreview-ci
Review CI failures for branches and PRs using Datadog MCP pipeline and test events.
DataDogdependency-direction-analysis
Detects layering violations in ddtrace module dependencies and proposes architectural fixes.
DataDogrun-benchmarks
Runs performance benchmarks comparing baseline ddtrace releases against local code changes.
DataDogadd-new-configuration
Registers new environment variables in dd-trace-py configuration files and documentation.
DataDogreview-groovy-migration
Reviews migrated Java test files against shared quality rules and reports findings by severity.
DataDogperf-review
Reviews dd-trace-java code diffs for hot-path performance overhead using a tracer rubric.
DataDogmigrate-groovy-to-java
Converts Spock/Groovy test files in Gradle modules to JUnit 5 Java tests.
DataDogapm-integrations
Writes new library instrumentations end-to-end for the dd-trace-java APM agent.
DataDogmigrate-junit-source-to-tabletest
Converts JUnit 5 parameterized tests to @TableTest format for JDK 8 projects.
DataDogrelease
Identify cherry-pick candidates from main and draft a v2.x release proposal.
DataDogimplement-posix-command
Implement POSIX commands as secure sandboxed builtins for restricted shell interpreters.
DataDogcode-review
Review code changes for security, POSIX compatibility, and test coverage.
DataDogimprove-test-coverage
Audits rshell's existing tests and generates new YAML scenario tests to improve coverage gaps identified from reference suites.
DataDogfix-local-tests
Fix failing rshell tests by aligning implementation with bash behavior.
DataDogimprove-loop
Review and improve shell features and built-in commands with tests and security checks.
DataDogreview-fix-loop
Orchestrate iterative GitHub Pull Request review-fix loops with CI test fixing.
DataDogaddress-pr-comments
Fetch, evaluate, and implement pull request review comments using GitHub CLI and Go.
DataDogfix-ci-tests
Diagnose and fix GitHub Pull Request CI failures from logs.
DataDoggtfobins-validate
Validate shell builtins against GTFOBins attack patterns and generate status reports.
DataDoganalyze-azdo-build
Analyze Azure DevOps CI build failures and categorize issues by pull request or build ID.
DataDoganalyze-error
Analyze dd-trace-dotnet error stack traces to identify root causes.
Frequently Asked Questions About Datadog, Inc.
FAQPage SchemaWhat specific engineering tasks are enabled by these capabilities?▼
These capabilities enable deep-dive analysis of .NET tracer stack traces, performance optimization of Rust-based systems, validation of POSIX-compliant shell built-ins against security patterns, and systematic resolution of CI build failures within complex repository environments.
Which technical personas benefit from these engineering skills?▼
These skills are designed for site reliability engineers, performance engineers, and security researchers who manage high-performance observability components, maintain .NET instrumentation, or require rigorous validation of shell-based execution environments against security benchmarks.
What are the primary prerequisites for implementing these diagnostic routines?▼
Implementation requires access to the target repository, a configured GitHub environment for issue and pull request management, and specific runtime dependencies including the Rust toolchain for performance profiling and Go for managing repository-level interactions.