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Hi! I pushed a proposed skill architecture in PR #127. In parallel, I’m benchmarking how much the agent improves bare-workflow implementation quality. GoalHandle full Current bare implementation skillFlow
Skill architectureCurrent bare skill package (canonical source): Runtime exposure:
Final implementation proposalAfter validating the bare workflow skill, the model scales to a router-driven multi-workflow architecture: flowchart LR
A["User Prompt + Repo Context"] --> B["Router: routing-rn-legal-workflows"]
B --> C["Detect Intent Signals"]
B --> D["Detect Repo Signals"]
C --> E{"Route Decision"}
D --> E
E -->|Expo| F["Skill: integrating-rn-legal-expo"]
E -->|Bare RN| G["Skill: integrating-rn-legal-bare"]
E -->|Node / CLI / API| H["Skill: analyzing-licenses-node"]
E -->|Conflict/Unclear| I["Ask one focused clarification"]
F --> J["Expo Implementation + Validation"]
G --> K["Bare Implementation + Validation"]
H --> L["Node License Analysis + Validation"]
J --> M{"Any errors/constraints?"}
K --> M
L --> M
M -->|Yes| N["Skill: troubleshooting-rn-legal"]
M -->|No| O["Final Output"]
N --> P["Targeted fix + re-validation"]
P --> O["Final Output"]
O --> Q["Benchmark Scoring via evals/skills"]
Tasks
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Based on the documentation for the tools in this repository, create agent skill(s) to help agents use the CLI and RN library
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