rseng-project-kickoff
SolidCovers starting a new research software project with a short kickoff interview: asking the user the few questions whose answers actually change decisions (goal, software tier, stack, data sensitivity, openness, collaboration, compute, deadlines, and how much the agent may decide alone), then deriving tier-appropriate defaults, setting the project up, and making proactive decisions afterwards while keeping the user informed. Use PROACTIVELY when a new project is starting in an empty or fresh directory, and when the user asks to kick off, bootstrap or set up a new research software project or wants the agent to interview them about it. (Drafting SMPs is rseng-management-planning; steady-state operation after setup is rseng-project-tracking.)
Install
Quality Score: 83/100
Skill Content
Details
- Author
- fdiblen
- Repository
- fdiblen/rseng-agent-skills
- Created
- 4 days ago
- Last Updated
- 4 days ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
project-onboarding
Use when the user pitches a new project or product idea, wants to start a new project, or asks for an onboarding interview — including vague ideas ("I have an idea for an app"). The only interactive skill of the suite; everything after it runs autonomously.
start
Start a project with a short guided conversation that ends in one clear project brief
ai-agent-project-scaffold
Stand up a new AI/agent project - or add an AI subsystem to an existing repo - starting from a requirements intake and ending in a committed full stack. Use when the user says "scaffold an agent project", "bootstrap a RAG/agent repo", "add an agent to this codebase", "add an AI/LLM feature to our existing app"; when they ask for the stack for a specific system they intend to build ("get me a stack", "which stack should we use"), as opposed to open-ended options questions, which go to ai-engineering; when they make ANY "build me an agent that does X" request, because the intake may rightly conclude a plain script suffices; and when a vague AI build idea needs shaping first, in which case it calls interview-me and idea-refine. Hands implementation to agent-skills.