Convert measurable problems into evidence-backed research plans with a persistent H->E->F evidence loop.
npx skills add https://github.com/theam/limina --skill limina
Please help me install this Agent Skill. Skill: limina Source: https://github.com/theam/limina/tree/main/skill Command: npx skills add https://github.com/theam/limina --skill limina
It solves the problem of turning an open-ended research effort into a structured, auditable workflow that produces evidence rather than guesses.
Tell your AI to set up a new Limina project in a folder named limina-research and initialize the mission brief using your objective, context/baseline, success criteria, resources/boundaries, and blocked stop condition.
High-intent search queries and answers about installing and using this skill.
To structure autonomous research, you need a persistent knowledge base that maintains an evidence flow linking hypotheses to experiments and findings. This converts an open-ended problem into an auditable workflow that iterates until success criteria are met.
A hypothesis-driven research workflow breaks your mission into research questions, designs experiments to challenge assumptions, and iterates through an H->E->F evidence flow until success criteria are met or approaches are exhausted.
You set up a knowledge base by initializing a mission brief in a dedicated folder. This brief must include your objective, context or baseline, success criteria, resource boundaries, and a blocked stop condition to guide the research loop.
Yes, you can use an autonomous agent workflow for benchmarking approaches, optimizing metrics, and investigating root causes. It operates across long sessions by maintaining durable artifacts that link hypotheses to experimental findings.
When an autonomous research agent gets blocked, it escalates by asking you for input instead of guessing. It maintains a full traceable reasoning trail of decisions and outputs for your review.
Yes, evidence-based research requires validating required fields and scripts before running the research loop. This ensures the persistent knowledge base is correctly initialized to maintain the evidence flow.
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