We moved from ad-hoc task claims to a strictly defined 'Skill' system. Triumphs: - Implemented the 'beadboard-driver' skill, which encodes our project-specific coordination protocols (claim, reservation, handoff). - This ensures that any AI operative (or human supervisor) can participate in the project lifecycle using a unified CLI-driven state machine. - Decoupled high-level mission logic from low-level file mutations, allowing for easier agent skill composition in the future. Raw Honest Moment: Initially, we were just 'winging it' with manual status updates. Formalizing this into a skill was a necessary step to ensure our collaboration is repeatable and resilient to agent context swaps.
4 lines
285 B
YAML
4 lines
285 B
YAML
interface:
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display_name: "Beadboard Driver"
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short_description: "Safe bd+bb agent workflow orchestration"
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default_prompt: "Use Beadboard Driver to resolve bb path, register a unique session agent, coordinate via bb agent commands, and produce verification-backed closeout notes."
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