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AI Agent & Automation Workflows

Skill pack
4 skills0 selected
ingo-eichhorstSkills in this pack

End-to-end execution of a GitHub issue via /ir:exec [mode] — open a worktree, investigate, then either present a visual HTML plan for approval or proceed straight to implementation (mode-dependent), open a PR, review it with /code-review, fix findings, simplify, hand back the PR link with a test-or-merge recommendation, and land the merge on request. mode defaults to auto, which picks plan or full from the issue's /ir:triage signals. Triggers on "/ir:exec", "exec issue", "implement issue", "plan issue", or when the user gives an issue number/URL and asks to plan, implement, or land it.

English

Maintain the canonical scenario × agent fixture matrix for irrlicht. A slim dispatcher that routes intent to four focused subagents — create-scenario (add a matrix row), create-agent (add a matrix column), assess (judge one cell across the three pillars and write its spec), and record (drive the live agent and verify every websocket observation). Every read and every write goes through the of factory CLI (tools/onboarding-factory) — the skill itself never touches replaydata/. Each subagent returns a short summary (≤6 lines, ≤7 for record) so the parent keeps its context for strategic decisions instead of drowning in per-cell tool output. Use when the user says "/ir:onboarding-factory", "onboard agent", "add a scenario", "assess fixtures", "record fixtures", or "regenerate recordings". For unattended / overnight runs ("push through", "onboard everything", "implement everything that can be"), see the Overnight push-through mode section — implement every feasible unlock and deliver a report-as-PR, autonomously.

English

Build and publish an irrlicht release. Bumps version, builds Go daemon + Swift app, creates signed app bundle with icon, packages DMG (branded installer) + PKG, updates docs/changelog/landing page, commits, tags, pushes, and creates GitHub release with assets. Default: patch bump. Use "/ir:release minor" or "/ir:release major".

English

Autonomously triage GitHub issues on ingo-eichhorst/Irrlicht. Diagnostic-only: scores each issue against a 6-axis readiness rubric and lands it at ready-for-agent or needs-info, with a one-line justification per label. Triggers: "/ir:triage" (sweep), "/ir:triage N" (single), "/ir:triage N M".

English

Includes Ir:onboarding Factory, Ir:release, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills4CategoryengineeringStars0

What’s included

Ir:exec

End-to-end execution of a GitHub issue via /ir:exec [mode] — open a worktree, investigate, then either present a visual HTML plan for approval or proceed straight to implementation (mode-dependent), open a PR, review it with /code-review, fix findings, simplify, hand back the PR link with a test-or-merge recommendation, and land the merge on request. mode defaults to auto, which picks plan or full from the issue's /ir:triage signals. Triggers on "/ir:exec", "exec issue", "implement issue", "plan issue", or when the user gives an issue number/URL and asks to plan, implement, or land it.

Ir:onboarding Factory

Maintain the canonical scenario × agent fixture matrix for irrlicht. A slim dispatcher that routes intent to four focused subagents — create-scenario (add a matrix row), create-agent (add a matrix column), assess (judge one cell across the three pillars and write its spec), and record (drive the live agent and verify every websocket observation). Every read and every write goes through the of factory CLI (tools/onboarding-factory) — the skill itself never touches replaydata/. Each subagent returns a short summary (≤6 lines, ≤7 for record) so the parent keeps its context for strategic decisions instead of drowning in per-cell tool output. Use when the user says "/ir:onboarding-factory", "onboard agent", "add a scenario", "assess fixtures", "record fixtures", or "regenerate recordings". For unattended / overnight runs ("push through", "onboard everything", "implement everything that can be"), see the Overnight push-through mode section — implement every feasible unlock and deliver a report-as-PR, autonomously.

Ir:release

Build and publish an irrlicht release. Bumps version, builds Go daemon + Swift app, creates signed app bundle with icon, packages DMG (branded installer) + PKG, updates docs/changelog/landing page, commits, tags, pushes, and creates GitHub release with assets. Default: patch bump. Use "/ir:release minor" or "/ir:release major".

Ir:triage

Autonomously triage GitHub issues on ingo-eichhorst/Irrlicht. Diagnostic-only: scores each issue against a 6-axis readiness rubric and lands it at ready-for-agent or needs-info, with a one-line justification per label. Triggers: "/ir:triage" (sweep), "/ir:triage N" (single), "/ir:triage N M".

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Ir:exec skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent & Automation Workflows | Agent Skills Atlas