rseng-project-kickoff

Solid

Covers 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.)

AI & Automation 14 stars 2 forks Updated 4 days ago MIT

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Skill Content

# Project kickoff: ask well, then decide well The first hour of a project fixes decisions that cost months to change later. A short interview beats both extremes: asking nothing (the agent guesses the user's constraints) and asking everything (the user abandons the questionnaire). Ask only what changes decisions, derive the rest, and write down which is which. ## The interview Eight questions cover what defaults cannot infer. Ask them in the user's language, batched sensibly, skipping any the context already answers: 1. Goal and audience: what research question, who runs this software - just you, your group, a community? (Sets the tier - rseng-quality-framework - which calibrates everything else.) 2. Stack: a language/ecosystem preference, or should the agent choose per the state of the art for the domain (rseng-language-guides, verified online when unfamiliar)? 3. Data: what data, how big, and is any of it personal or sensitive? (Routes rseng-data-management and rseng-regulatory-compliance before the first file lands in git.) 4. Openness: license preference and open-science intent - open from day one or open at publication (rseng-licensing, rseng-open-science-practices)? 5. Collaboration: solo or team, internal or external contributors (rseng-community-governance's scale)? 6. Compute: laptop, cluster, GPUs (rseng-hpc-computing, rseng-gpu-computing shape structure early)? 7. Deadlines: the research calendar dates that planning works backwa...

Details

Author
fdiblen
Repository
fdiblen/rseng-agent-skills
Created
4 days ago
Last Updated
4 days ago
Language
Python
License
MIT

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