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Guide changes to gh-aw internals, including workflow validation, session scoring, and GitHub output handling. Find implementation locations and design rules for configuration checks, YAML compatibility, and limits on log responses returned to agents.

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• Choose where to add workflow validation
• Review changes to session scoring
• Investigate YAML parsing differences

Implement HTTP headers that pass GitHub Actions secrets through environment variables in gh-aw’s copilot engine. This reference explains secret extraction, generated MCP configuration, execution-step settings, and tests for keeping secret values out of configuration files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Passing API keys to HTTP MCP servers
• Reviewing generated configuration for secret handling
• Supporting secret expressions with default values

Implement and test Go codemods, automated migration routines used by gh aw fix. The guide covers targeted configuration changes, preserving comments and document content, safe repeated execution, and checks for registration and execution order.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add a migration for deprecated configuration
• Update an existing migration routine
• Test preservation of comments and formatting

Design error recovery for gh-aw workflows, including failed installations and API calls. Define retry limits, increasing wait times, error categories, and debug logs to handle temporary failures and prevent endless retries.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add bounded retries to network operations
• Plan recovery from installation failures
• Handle GitHub API rate limits

Create GitHub Copilot coding tasks from plain-language instructions using the GitHub CLI extension. Tasks become issues that trigger code changes and pull requests for review, with commands to list tasks, inspect details, and update instructions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Delegate a bug fix to GitHub Copilot
• Create a task from a written specification
• List tasks and inspect their details

Investigate failed gh-aw workflows using existing logs and audit reports. Identify missing tools, authentication failures, permission issues, network restrictions, and timeout causes, then guide fixes through source review and controlled validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a failed workflow run
• Separating authentication failures from permission errors
• Checking whether the same error recurs across runs

Build and troubleshoot canvas extensions displayed in the GitHub Copilot app's side panel. Follow guidance for scaffolding, implementing actions and inputs, preserving state, matching app themes, and checking behavior through canvas tools and extension logs.

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• Create a canvas extension for the side panel
• Check actions and input validation
• Investigate extension loading failures

Organize gh-aw Go code with guidance on splitting files by function, placing shared helpers, and keeping tests near implementations. It also explains string cleanup conventions and replacement implementations for features unavailable in WebAssembly builds.

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• Splitting large Go files by responsibility
• Choosing where to place shared helper functions
• Distinguishing character cleanup from format normalization

Guide gh-aw release preparation and assess whether command-line changes break existing usage. The reference covers changesets, which record release changes, version previews, release steps, firewall log classification, and summaries of Go module usage.

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• Preview a release version and changelog
• Assess command-line compatibility and changeset types
• Interpret allowed and blocked traffic in firewall logs

Review GitHub security advisories, verify fixed versions, and update compatibility rules with narrowly scoped changes. Document upgrade steps and check that version blocking, warnings, and related configuration behave as intended.

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• Setting a minimum version after a security advisory
• Blocking only specifically identified vulnerable versions
• Documenting upgrade and regeneration steps

Set up gh-aw, a GitHub CLI extension that turns Markdown workflows into GitHub Actions. The skill provides installation options and points agents to further instructions for creating, updating, debugging, and optimizing those workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up gh-aw
• Turning Markdown workflows into GitHub Actions
• Finding guidance for workflow creation and updates

Add custom Go code checkers to gh-aw, with guidance on tests, registration, and running all checks. Handle equivalent syntax consistently and optionally limit performance rules using test coverage, which records which code tests execute.

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• Adding a custom Go code checking rule
• Testing rules against equivalent syntax forms
• Registering a checker in the shared runner

Guides the refactoring of large JavaScript files into smaller CommonJS modules within gh-aw. It covers source placement, function exports, tests, and action builds so extracted code remains testable and is included in generated actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Splitting a large JavaScript file by responsibility
• Extracting utilities shared across workflows
• Adding tests for extracted modules

Rewrite long prompts into shorter, clearer instructions for language models. Preserve essential requirements while removing repetition, defining scope, and making output formats and success criteria explicit to reduce ambiguity and unnecessary tokens.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Shortening a long prompt while preserving requirements
• Clarifying vague instructions and success criteria
• Making output formats and length limits explicit

Review GitHub agentic workflows, automated workflows guided by AI agents, for security and correctness. Compile changes, inspect permissions and safeguards, and use available run logs to identify supported improvements to cost and execution time.

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• Reviewing workflow permissions and security safeguards
• Checking workflow compilation and security scan results
• Finding cost and runtime improvements in execution logs

Publish gh-aw changes as a draft pull request from a GitHub Copilot cloud agent. The workflow checks repository templates, runs required local validation, commits and pushes through runtime tools, and records the validation results in the PR.

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• Publishing validated gh-aw changes as a draft pull request
• Preparing a PR body using the repository template
• Recording passed validation commands in a pull request

Add a new safe-output message type to gh-aw, connecting configuration validation, Go parsing, and JavaScript rendering. Follow the required updates through tests, exports, documentation, and generated action bundles so the message reaches workflow output.

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• Add a new safe-output message type to gh-aw
• Support custom templates with placeholders
• Test default and customized message output

Query GitHub pull requests by author, status, or review needs, and extract selected fields as JSON. Inspect the data structure and size first, then use jq, a JSON filtering tool, to refine results.

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• Find pull requests awaiting review
• List pull request numbers and titles by author
• Identify pull requests with many changed files

Prepare an open pull request for human merging from a GitHub Copilot cloud agent. Address review threads, validate changes locally, resolve branch conflicts, and report remaining blockers, including the need for a human to rerun CI.

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• Addressing unresolved pull request review threads
• Fixing prior CI failures with local validation
• Resolving conflicts and preparing a merge handoff

Add an agent execution engine to gh-aw using a shared Markdown definition where possible. The skill guides installation, authentication, configuration, and testing, with Go infrastructure changes reserved for capabilities that existing settings cannot express.

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• Adding an agent execution engine to gh-aw
• Defining CLI installation, authentication, and MCP settings
• Extending shared behavior settings when existing options fall short

Use concrete JSON and Markdown examples to structure Sergo tool caches, strategy histories, improvement tasks, and reports. The templates show which fields to record and how to organize findings for review.

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• Formatting a cached snapshot of available tools
• Recording analysis strategies and their results
• Structuring improvement tasks and analysis reports

Create and manage coding tasks for GitHub Copilot from the command line. The skill covers writing clear implementation requests, listing and updating sessions, and connecting task creation to automated GitHub workflows that produce pull requests for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Request bug fixes from GitHub Copilot
• List and update existing coding tasks
• Create implementation tasks from labeled issues

Use this reference to configure GitHub access for AI agents through MCP, a protocol for connecting agents to tools. Covers tool selection, authentication, read-only access, and migration of existing workflow settings.

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• Configuring GitHub access for an AI agent
• Selecting tools for issues and pull requests
• Migrating allowed lists to toolsets

Routes requests to design, create, update, debug, or upgrade GitHub Agentic Workflows to the appropriate instructions. It helps the agent select a workflow-specific procedure and apply any additional rules defined for the repository.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a new workflow through questions
• Investigating failed runs and recurring errors
• Upgrading workflows and addressing deprecations