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Guide changes to RDD reviewer integrations through a shared Go contract, a common set of processing rules. Define adapter boundaries, validate result handling, and check that runtime migrations preserve existing review outcomes.

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• Moving reviewer invocation into a shared Go contract
• Checking that adapters only invoke reviewers and return raw output
• Verifying review outcomes during a runtime migration

Group bug reports by their underlying cause and plan shared fixes. This skill guides reproduction, checks for unnecessary complexity, and requires named test evidence before treating related issues as resolved.

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• Grouping accumulated bug reports by root cause
• Planning one fix for several related issues
• Checking test evidence before closing issues

Plan commits around complete features, fixes, or documentation changes, keeping related tests and docs together. Split larger work into reviewable units with recorded verification results and clear boundaries for rolling back changes.

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• Split a feature into reviewable commits
• Keep tests and documentation with related code
• Plan related pull requests for a large change

Split changes exceeding 400 lines into linked pull requests with clear boundaries and dependencies. Choose a chain structure, keep tests and documentation with each work unit, and document review order, verification plans, and justified size exceptions.

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• Splitting a change that exceeds 400 lines
• Planning PRs that can merge independently
• Coordinating a feature through a draft tracker PR

Write and review Go tests using patterns suited to functions, file operations, and terminal interfaces. Cover multiple scenarios, check state changes, and compare rendered output with saved expected results while keeping slow integration tests separately skippable.

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• Testing Go functions and parsers across multiple cases
• Checking file operations in temporary directories
• Testing Bubbletea state changes and interactions

Prepare pull requests by checking approved issue links, change-type labels, and required automated checks. Draft the repository’s PR template using observed test results, while leaving commits, pushes, PR creation, and merging under human control.

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• Preparing a branch for review
• Drafting a PR linked to an approved issue
• Checking required CI before declaring a PR merge-ready

Prepare and manage GitHub bug reports and feature requests using repository evidence and required forms. Check for duplicates, identify missing information, and verify published issues or comments before reporting the result.

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• Preparing a bug report using the required issue form
• Checking for duplicate feature requests
• Adding information to an existing issue

Run two independent reviewers against the same fixed target, then compare their findings. With approval, address severe issues confirmed by both and reassess the fixes, using at most two correction rounds before a final verdict.

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• Request two independent reviews of a specific target
• Separate confirmed issues from disputed findings
• Fix severe issues confirmed by both reviewers

Build a graph of functions and calls across multiple programming languages to investigate entry points, paths to sensitive operations, and potential impact. Use the results to prioritize security reviews and connect external findings with source code.

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• Tracing call paths from entry points to sensitive functions
• Prioritizing code for a security audit
• Connecting calls across language and RPC boundaries

Get a quick structural overview of a codebase with Trailmark. The skill identifies programming languages, counts entry points where execution begins, and returns dependency information to support orientation before deeper analysis.

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• Getting oriented in an unfamiliar codebase
• Checking languages and entry point counts before analysis
• Preparing a structural overview for Vivisect or Galvanize

Port an existing Semgrep rule to specified programming languages, producing separate rule and test files for each. The skill checks applicability, adapts detection patterns to each language, and reports validation results.

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• Porting an existing rule to Go or Java
• Checking whether a detection pattern applies to another language
• Creating language-specific detection and safe-code tests

Inspects compiled instructions and bytecode to identify timing risks in cryptographic code. Helps trace flagged operations back to secret data, distinguish false positives, and review fixes across compiler settings and target architectures.

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• Reviewing signing and encryption routines
• Checking division involving secret values
• Inspecting authentication tag comparisons

Turn a multi-file development task or technology migration into a specification with acceptance criteria, then launch background implementation and verification. The workflow clarifies missing requirements, reviews the specification, and tracks progress and blockers through linked jobs.

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• Implementing a feature across multiple files
• Migrating a framework or programming language
• Replacing authentication, storage, or API layers

Learn programming concepts through a short definition, a minimal code example, and a practical use case. Explanations adapt to experience level, highlight common mistakes, and suggest related topics and a small practice exercise.

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• Learning React hooks from small examples
• Understanding how async/await works
• Exploring SQL joins in depth

Guide a development task through requirements research, solution comparison, planning, implementation, optimization, and review. The workflow asks for approval at key stages and saves plans and completed task records in the project.

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• Clarifying requirements before development
• Comparing alternative implementation approaches
• Reviewing a detailed plan before coding

Build Java applications with cooperating AI agents using AgentScope Java. Guides asynchronous processing, where waiting tasks do not block execution, plus language model connections, external tools, workflow coordination, error handling, and tests.

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• Building a Java agent connected to a language model
• Coordinating agents in sequential or parallel workflows
• Connecting external tools through MCP

Turn a codebase into a browser-based course for people without programming experience. Build interactive lessons with animated data flows, quizzes, glossary explanations, and code paired with plain English to explain how the project works.

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• Understand how an app built with AI works
• Create a learning course from a GitHub project
• Learn data flow through animations and quizzes

Find source files with no matching test references by parsing code without building or running tests. Produces a source-to-test map and suggested test locations, helping plan test additions across supported programming languages.

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• List source files with no matching tests
• Choose locations for new test files
• Check source-to-test pairing after adding tests

Find language-specific guidance files for a code-testing pipeline. This reference catalog points agents to build and test commands, mocking patterns, common errors, and selected workflow examples across languages including .NET, Python, TypeScript, Go, and Java.

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• Finding test guidance for a project's programming language
• Locating build commands and test framework guidance
• Finding mocking patterns and common error references

Apply strict coding practices to Python, Rust, TypeScript, and Go projects. The skill guides typed errors, handling every variant, resource management, and tests that verify observable behavior, while prioritizing reuse and minimal changes.

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• Implementing features with strict types
• Fixing bugs at their shared root cause
• Reviewing tests for observable behavior

Build and check statistical models in PyMC while quantifying uncertainty. Supports hierarchical models that represent grouped data, sampling diagnostics, predictive checks, and model comparison, with templates and scripts for predictions and diagnostic reports.

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• Analyzing differences between groups with hierarchical models
• Producing predictions with uncertainty intervals
• Investigating sampling and convergence problems

Develop workflows for satellite imagery and geographic data, using guidance and code examples to calculate vegetation indicators, classify land cover, analyze terrain, and find road routes. Covers GIS, software for working with location-based information, and spatial machine learning.

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• Tracking vegetation changes in satellite imagery
• Classifying land cover with machine learning
• Aggregating location data by region

Learn programming through tutorials tailored to your experience, goals, and actual project code. Keep a shared learning history across projects, record questions, and use quizzes with spaced review to revisit concepts based on demonstrated understanding.

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• Learning concepts through code from an existing project
• Choosing what to study next based on previous learning
• Reviewing weak concepts through quizzes

Implement structured telemetry, such as counters and events, from DOCA applications to external consumers. Guides publishing API selection, schema and source setup, build and test workflows, and debugging lifecycle errors or reports that never reach the receiver.

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• Publish packet counters and bandwidth gauges from a DOCA application
• Define event fields and initialize schemas and sources
• Investigate DOCA_ERROR_BAD_STATE during event reporting