Refine vague research directions into implementation-oriented method plans.
npx skills add https://github.com/dogekiki/SP-test --skill research-refine-dogekiki
Please help me install this Agent Skill. Skill: research-refine Source: https://github.com/dogekiki/SP-test/tree/main/.trae/skills/research-refine Command: npx skills add https://github.com/dogekiki/SP-test --skill research-refine-dogekiki
This skill solves the common research bottleneck where a promising idea remains too vague or overbuilt to be actionable, helping you anchor your problem and refine your technical route into a concrete, paper-worthy plan.
Use the research-refine skill to decompose my idea for a new diffusion-based planning agent into a concrete research proposal.
High-intent search queries and answers about installing and using this skill.
To turn a vague research idea into a concrete methodology plan, you need iterative review to anchor your core problem and stress-test technical specificity. This prevents scope creep and refines rough concepts into implementation-oriented, paper-ready experiment roadmaps.
Designing experiments for a new model architecture proposal requires problem anchoring to freeze your core research question. A specialized reviewer then evaluates your technical route for frontier leverage and contribution quality to produce a focused, implementation-ready validation roadmap.
Iterative review improves academic writing and research proposals by stress-testing them for technical specificity and contribution quality. This multi-round refinement process ensures your methodology is frontier-aware, technically feasible, and anchored to a specific problem.
Yes, you need local literature scanning to refine an AI research proposal effectively. It ensures your methodology remains frontier-aware and contribution-focused by validating the technical feasibility and novelty of your experiment design against existing work.
Yes, you can use this methodology refinement process for technical research outside of AI. It applies to any academic or technical research project requiring high-fidelity, frontier-aware methodology and implementation-oriented problem decomposition.
Your research direction drifts during proposal writing due to a lack of problem anchoring. Freezing your core research problem early prevents scope creep, allowing iterative review to focus on technical specificity rather than constantly redefining the scope.
ResearAIConvert a baseline and problem frame into literature-grounded research directions.
shenmuxingConvert research proposals into claim-driven experiment roadmaps with milestones.
dogekikiReview LaTeX papers, apply targeted edits, and recompile documents.
goupup-aiTransforms vague research directions into implementable academic method plans.
