Interpret context bundles to propose focused session work.
npx skills add https://github.com/fcastrillo/carbtrack-ai --skill rai-session-start
Please help me install this Agent Skill. Skill: rai-session-start Source: https://github.com/fcastrillo/carbtrack-ai/tree/main/.claude/skills/rai-session-start Command: npx skills add https://github.com/fcastrillo/carbtrack-ai --skill rai-session-start
Load deterministic context bundle from CLI, interpret it, and propose focused work. The CLI assembles all data (profile, session state, memory graph, deadlines, coaching). The skill only does inference: interpret and present.
Load the context bundle, interpret it, and propose a focused set of next steps for the session.
High-intent search queries and answers about installing and using this skill.
To load a context bundle for session planning, the CLI assembles developer profiles, session state, memory graphs, deadlines, and coaching data, while the skill interprets this bundle to propose focused work.
Deterministic inference for session planning means relying on pre-assembled context bundles rather than live data gathering, ensuring stable, predictable AI outputs for initializing work sessions.
Adapt AI session proposals to different developer experience levels using Shu/Ha/Ri progression, adjusting output verbosity and technical depth based on the user's proficiency stage loaded from the context bundle.
No, the session-start skill does not gather data from external sources; the CLI handles all data assembly, while the skill strictly performs inference to interpret the deterministic context bundle and generate a work proposal.
Yes, you can use memory graph and coaching data to guide pending work items; the skill interprets these bundled inputs alongside deadlines to generate a concise, focused session proposal.
The best way to initialize a development session with pending items and deadlines is loading a pre-assembled context bundle, letting the skill interpret session state and memory graph to propose focused next steps.
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