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refactor: move mature UXD skills out of workshop #48
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,7 @@ | ||
| { | ||
| "name": "uxd-design", | ||
| "description": "UX design workflow — Figma context, design evaluation, and implementation handoff", | ||
| "author": { "name": "UXD Team" }, | ||
| "repository": "https://github.com/rh-uxd/ai-helpers", | ||
| "license": "Apache-2.0" | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,7 @@ | ||
| { | ||
| "name": "uxd-design", | ||
| "description": "UX design workflow — Figma context, design evaluation, and implementation handoff", | ||
| "author": { "name": "UXD Team" }, | ||
| "repository": "https://github.com/rh-uxd/ai-helpers", | ||
| "license": "Apache-2.0" | ||
| } |
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🎯 Functional Correctness | 🔴 Critical | ⚡ Quick win
🔎 Supported by static analysis
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Repository: rh-uxd/ai-helpers
Length of output: 3339
🤖 get_repo_knowledge executed:
get_repo_knowledge rh-uxd/ai-helpers /tmp/coderabbit-repo-knowledge/rh-uxd-ai-helpers-b34ec62d/conventions /tmp/coderabbit-repo-knowledge/rh-uxd-ai-helpers-b34ec62d/learningsLength of output: 47527
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Repository: rh-uxd/ai-helpers
Length of output: 17993
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Repository: rh-uxd/ai-helpers
Length of output: 11437
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Repository: rh-uxd/ai-helpers
Length of output: 45685
🌐 Web query:
agent-eval-harness runner plugin_dirs colocated eval skill automatic plugin discovery GitHub💡 Result:
In the context of the agent-eval-harness, runner configuration and plugin management operate through a modular architecture designed for extensibility and automated discovery. Runner Configuration and plugin_dirs The runner block in the eval.yaml configuration allows users to define execution parameters such as the runner type (e.g., claude-code, codex), effort levels, and environment settings [1][2][3]. The plugin_dirs parameter is a list of directories from which the harness loads plugins [1][2]. When using specific runners like codex, the harness is configured to pass every entry in runner.plugin_dirs as a manifest-declared skill root to ensure that all sibling dependencies remain discoverable, rather than narrowing the orchestrator to a single primary skill directory [4][5]. Colocated Evaluation Skills Evaluation skills (such as eval-run) can be colocated within the harness structure. When executing these, the harness often uses a dedicated virtual environment (.eval-venv) to ensure that dependencies are correctly loaded [4][5]. In these setups, the plugin root is dynamically resolved (e.g., via ${CLAUDE_PLUGIN_ROOT}), and relevant paths are added to the PYTHONPATH to ensure the agent_eval package and its plugins are accessible during execution [4][5]. Automatic Plugin Discovery The harness utilizes a sophisticated, event-driven architecture that supports automatic and dynamic plugin discovery [6][7][8]. Key aspects include: - Lifecycle Hooks: Plugins (which inherit from BaseEvalPlugin) hook into specific stages of the evaluation loop (e.g., on_discover_adapters, on_run_start) via a PluginManager [6][7]. - Adapter Registry: The AgentAdapterRegistry dynamically discovers and registers agent protocols (like autogen:// or langgraph://) at runtime, allowing new frameworks to be added without modifying the core engine [6][8]. - Zero-Touch Discovery: Some implementations feature automatic discovery mechanisms, such as identifying tool endpoints or agent names from metadata, to enrich leaderboards and trajectories without requiring framework-level configuration [6][7]. These mechanisms collectively allow the harness to be extended with custom environment simulators, console routes, and agent adapters through a zero-touch, hot-swappable plugin bus [7][8].
Citations:
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Repository: rh-uxd/ai-helpers
Length of output: 31692
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Repository: rh-uxd/ai-helpers
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Add
plugins/uxd-researchtoplugin_dirs. The runner passes only configured plugin directories to Claude Code. This skill is packaged underplugins/uxd-research, while the evaluation loads onlyplugins/uxd-workshopand has no project-local.claude/skillsdirectory. The evaluation can fail because the selected skill is not discoverable.🤖 Prompt for AI Agents