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Plan task handoffs between agents on different machines using Git to share YAML task and result files. This implementation specification describes validation, execution limits, result reporting, and GitHub Issues as an additional route for urgent requests.
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Structure delegated agent tasks with clear goals, success criteria, and a three-attempt limit. Provides handoff templates and coordinator checks, plus rules for escalating unresolved work and turning research findings into concrete follow-up actions.
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Find and select Squad operations through a categorized menu, from managing an AI team and GitHub issues to choosing models and reviewing activity. The skill collects required options and routes requests to CLI commands or the coordinator agent.
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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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Analyze gh-aw execution traces, which record individual processing steps, to investigate slow or failing workflows. Using local JSONL files or telemetry backends, the skill checks timing, errors, missing attributes, and trace connections to support focused improvements.
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Analyze token usage and AI costs in GitHub Agentic Workflows, identify expensive steps and budget or timeout failures, and develop prioritized improvements checked against the original workflow’s output quality.
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Configure Skillz in Docker to expose SKILL.md instructions, resources, and helper scripts as tools for MCP clients, applications that connect to tool servers. Covers skill folder layouts, ZIP packaging, environment variables, and workflow integration.
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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.
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Write and edit gh-aw documentation using Diátaxis, a framework that separates learning, task instructions, reference, and explanations. Apply Astro Starlight Markdown conventions while keeping examples focused and removing repeated or unnecessary content.
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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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Automate browser tasks such as clicking, filling forms, and navigating tabs. Inspect page structure, console messages, and network requests, and capture screenshots or recordings to support web testing, debugging, and UI feedback.
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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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Find and review pull requests created with GitHub Copilot using author searches, branch names, and Git history. Follow practical checks for changes and tests, and export request lists to CSV to track contributions.
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Review and implement gh-aw workflows and Go code with security checks for untrusted input, shell commands, dependency versions, and permissions. The skill also covers event-specific conditions and tools that inspect workflows for errors and security risks without running them.
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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.
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Update the gh-aw-firewall version used by gh-aw, rebuild generated files, and review release notes and configuration schemas, which define valid settings. It guides related code and test updates while identifying follow-up work that remains.
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Query GitHub issues and extract or summarize selected fields using jq, a JSON filtering tool. Inspect data structure and size before retrieving detailed results, then filter by status, author, labels, comments, or creation date.
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List GitHub Actions workflows with a script that lets you choose the page size and page number. Get JSON containing the total count, workflow names, file paths, states, timestamps, and links for inspection or further processing.
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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.
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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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Follow gh-aw development conventions with checks matched to Go, JavaScript, and workflow changes. Provides staged validation commands, capitalization rules, and pointers to more detailed guidance for specific parts of the codebase.
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Troubleshoot npm download failures on Microsoft's corporate network or VPN using the 1ES public package feed. It covers registry access, approved proxies, and certificate trust, preserving locked dependency versions and reporting network blockers when recovery fails.
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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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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.
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