Plugins
4 plugins@owl-listener
Design Research
User research skills for designers: personas, empathy maps, journey maps, interview scripts, usability testing, and card sorting.
12 skills · plugin
@alirezarezvani
Research Ops
Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork) + clinical-research (study design: protocol synopsis + endpoint selection + sample-size/power for means/proportions/survival + phase-gate feasibility) + research-finance (R&D program budgeting with F&A split + burn/runway + capital
5 skills · plugin
@alirezarezvani
Product Team
13 product skills with 17 Python tools: product manager toolkit (RICE, PRDs), agile product owner, product strategist, UX researcher, UI design system, competitive teardown, landing page generator, SaaS scaffolder, product analytics, experiment designer, product discovery, roadmap communicator, code-to-prd, research summarizer, apple-hig-expert.
10 skills · plugin
@brycewang-stanford
DAC Skills
Twelve DAC-specific skills for the ACM/IEEE Design Automation Conference (the Chips to Systems Conference) and its double-blind Research Manuscript track, grounded in the DAC 2026 (63rd) call, dac.com, IEEE CEDA, ACM SIGDA, the ACM Digital Library, and dblp.
2 skills · plugin
Results for “design-research”
18 skills
owl-listener design-rationale
Write clear design rationale that connects decisions to user needs, business goals, and principles.
1.7k
owl-listener prototype-strategy
Choose the right prototyping fidelity and method for the design question.
1.7k
More results
owl-listener click-test-plan
Design click and first-click tests to evaluate navigation clarity and information findability in user interfaces.
1.7k
lambenthan empirical-design
基于已摄取文献和本地数据，生成经管实证研究设计：问题、机制、变量、模型、识别、机制、异质性、稳健性
77
owl-listener search-ux
Design search experiences that help users find what they need, recover from failure, and refine results.
1.7k
alirezarezvani experiment-designer
Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.
20.4k · bundle
k-dense-ai experimental-design
Design experiments and studies before data collection — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable.
30.2k · bundle
neuralblitz a-b-testing-based-design
A B Testing Based Design Skill
1 · bundle
neuralblitz advanced-big-data-design
Advanced Big Data Design Skill
1 · bundle
azusagasaku search-first
研究优先于编码的工作流程。在编写自定义代码之前，搜索现有的工具、库和模式。调用研究员代理。
0
danielpradilla learning-experiment-plan
Design product experiments around hypotheses, audience, metrics, guardrails, and decisions.
0
rexshihaoren grill-me
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
5
kk20300113-png design-shotgun
Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. Standalone design exploration you can run anytime. Use when: "explore designs", "show me options", "design variants", "visual brainstorm", or "I don't like how this looks". Proactively suggest when the user describes a UI feature but hasn't seen what it could look like. (gstack)
0
livelybug design-review
Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. (gstack)
0 · bundle
livelybug design-shotgun
Design shotgun: generate multiple AI design variants, open a comparison board, collect structured feedback, and iterate. (gstack)
0
racecraft-lab speckit-review-types
Type design analysis — encapsulation, invariant expression, usefulness, and enforcement.
11
sdiamante13 grill-me
Clarifies ambiguous or conflicting requests by researching first, then asking only judgment calls. Use when prompts say "grill me", ask hard questions, request relentless interrogation, pressure-test assumptions, clarify scope/requirements, define success criteria, or request system-design/optimization decisions.
7
k-dense-ai scientific-critical-thinking
Evaluate scientific claims and evidence quality by assessing experimental design, identifying biases and confounders, and applying evidence grading frameworks like GRADE and Cochrane Risk of Bias.
30.2k · bundle