Agent skill

Research Planner

by LeoYeAI in LeoYeAI/openclaw-master-skills

Designs market and user research plans focused on methodology selection and research material authoring (screeners, surveys, interview guides, usability task scripts, etc.).

MITAuto-check passedProduct & Project Management

Install Research Planner

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill research-planner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills research-planner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/research-planner .claude/skills/research-planner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
research-planner
GitHub stars
2.2k
Token cost
~4.2k tokens
SKILL.md length
1,644 words
Files
37
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

Designs market and user research plans focused on methodology selection and research material authoring (screeners, surveys, interview guides, usability task scripts, etc.).

  • Works in 5 steps: Clarify the Research Need → Choose Research Approach(es) → Turn the Approach into a Study Plan → …
  • The user wants to plan
  • SKILL.md covers Scope, Phase Model, How to Use This Skill and Step 1: Clarify the Research…, plus 7 more sections
  • Calls npx; reaches github.com

What it does

Research Planner is an agent skill from LeoYeAI/openclaw-master-skills. Designs market and user research plans focused on methodology selection and research material authoring (screeners, surveys, interview guides, usability task scripts, etc.). Use this skill whenever the user wants to plan or structure research activities, choose between qualitative and quantitative methods, or draft research artifacts, but not to analyze collected data.

Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 38 other files (for example `_meta.json`, `phases/01-clarify-need.md` and `phases/02-method-selection-and-plan.md`).

It sits in Product & Project Management, covering UX design and User research. The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

When your agent uses it

  • The user wants to plan
  • Structure research activities
  • Choose between qualitative and quantitative methods
  • Draft research artifacts

Example prompts

  • “Use the research-planner skill to design market and user research plans focused on methodology selection and research material authoring (screeners…”
  • “/research-planner”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Clarify the Research Need
  2. Choose Research Approach(es)
  3. Turn the Approach into a Study Plan
  4. Generate Research Materials
  5. Package an Execution-Ready Output

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com

    Also links to:

    • nngroup.com
    • userinterviews.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Research Planner loads about 4.2k tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 1,644 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~97
When it runs · the whole SKILL.md, loaded when a task matches
~4.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,644 words, ~4,182 tokens.

Download SKILL.mdSave it as .claude/skills/research-planner/SKILL.md (or your agent's skills folder). This skill also uses 36 other files; get the full folder from GitHub.
name
research-planner
description
Designs market and user research plans focused on methodology selection and research material authoring (screeners, surveys, interview guides, usability task scripts, etc.). Use this skill whenever the user wants to plan or structure research activities, choose between qualitative and quantitative methods, or draft research artifacts, but not to analyze collected data.

Installation

Via Clawdhub:

bash
clawdhub install research-planner

Manual Installation:

bash
npx skills add https://github.com/NKZ55/research-planner/tree/main/skills/research-planner

Research Planner

Market and user research planning skill focused on research design and documentation, not on data analysis.

This skill is inspired by systematic frameworks from:

  • User/UX research books
    • Erika Hall, Just Enough Research (research strategy, scoping, stakeholder alignment)
    • Steve Portigal, Interviewing Users (study design and interview materials)
    • C. J. Hoefflich & Jeff Sauro, Quantifying the User Experience (quantitative UX measures and study design – used here for planning, not analysis)
  • Market research and consulting
    • Naresh Malhotra, Marketing Research (problem definition → research design → data collection plan)
    • McKinsey-style hypothesis-driven, MECE research framing (issue trees, key questions, assumptions)
  • Online frameworks

This skill helps the agent:

  • Select appropriate research methods given the user's goal, constraints, and audience
  • Turn a chosen method into concrete research artifacts (screeners, questionnaires, discussion guides, task lists, etc.)
  • Structure research projects into clear phases and deliverables

Data analysis (qualitative coding, statistical analysis, report writing) is explicitly out of scope and should be delegated to analysis-focused skills (for example, interview-analysis skills such as Interview Analyst).

Scope

  • In scope

    • Clarifying research objectives and hypotheses
    • Choosing suitable research methods (e.g., in-depth interviews, usability tests, surveys, diary studies, field research, concept tests)
    • Designing multi-method research plans (mixed methods)
    • Drafting all research materials needed to run the study:
      • Recruitment screeners and eligibility criteria
      • Participant invitation text and consent wording
      • Interview and discussion guides
      • Usability test task scripts and success criteria
      • Survey questionnaires and question wording
      • Moderator notes and observation templates
    • Structuring timelines, milestones, and required roles for execution
  • Out of scope

    • Cleaning, transforming, or aggregating collected data
    • Coding qualitative data or running statistical tests
    • Creating insights decks, final research reports, or recommendations
    • Any task that belongs to the separate analysis/reporting skills

Phase Model

Use this phase model for every project. This skill covers only the planning and documentation phases.

text
Problem framing
   ↓
Research strategy & method selection
   ↓
Study plan & logistics
   ↓
Research materials (screeners, guides, surveys, scripts)
   ↓
Fieldwork / data collection  [OUT OF SCOPE]
   ↓
Analysis & reporting         [OUT OF SCOPE – use analysis skills]

How to Use This Skill

For each user request:

  1. Clarify the research need
  2. Choose appropriate research approach(es)
  3. Turn the approach into a concrete study plan
  4. Generate the necessary research materials
  5. Package everything into an execution-ready bundle

Always keep analysis out of scope and gently point users to analysis skills once data is collected.


Step 1: Clarify the Research Need

Before suggesting methods, derive a clear, consulting-style problem framing.

  • Clarify business and research goals
    • What decision will this research inform?
    • What would success look like for stakeholders?
    • What hypotheses or assumptions are we testing?
  • Define target users and context
    • Which segment(s), roles, geographies, or usage patterns matter?
    • In what context does the behavior occur (device, channel, environment)?
  • Map constraints
    • Timeframe, budget, required sample size or coverage
    • Access to participants (existing users, prospects, internal staff)

Output for this step:

  • A short Problem Statement
  • 3–7 Key Questions (MECE where possible)
  • A list of Assumptions / Hypotheses to probe

Step 2: Choose Research Approach(es)

Use a small set of canonical user and market research methods. Combine methods when appropriate (mixed methods).

Method-Selection Matrix
Primary goalTypical method(s)Notes
Explore unknown problem space1:1 in-depth interviews, contextual inquiry, diaryDiscovery / generative research
Evaluate usability of an experienceModerated usability tests, unmoderated remote testsTask-based, scenario-driven
Measure attitudes or behaviors at scaleStructured survey, poll, simple experimentRequires clear constructs and metrics
Compare concepts or ideasConcept testing sessions, preference tests, card sortsMay combine with interview or survey
Understand real-world contextField visits, observation, shadowing, diary studyHigher logistics cost

Method choice should balance:

  • Stage (discovery vs validation vs evaluation)
  • Decision type (go/no-go, prioritization, design iteration, positioning)
  • Practical constraints (timeline, recruiting, tools already in use)

When recommending methods:

  • Propose 1–2 primary methods plus any lightweight secondary methods
  • Briefly justify each method in terms of the user’s goals and constraints

Step 3: Turn the Approach into a Study Plan

Following both classic marketing-research texts and NN/g research-plan guidance, every study plan should cover at least:

  • Background & Objectives
    • Context, problem statement, business goals
    • Research objectives and key questions
  • Methodology Overview
    • Chosen methods and rationale
    • Study type (exploratory, descriptive, causal; formative vs summative)
  • Participants
    • Target population and segments
    • Inclusion / exclusion criteria
    • Planned sample size and justification
  • Procedure
    • Study phases (pilot, main fieldwork)
    • Session format (remote vs in-person, moderated vs unmoderated)
    • High-level flow or timeline
  • Roles and Responsibilities
    • Researcher, moderator, note-taker, stakeholders
  • Risks and Ethical Considerations
    • Consent, privacy, incentives, sensitive topics

When the user asks for a plan, structure your answer in these sections and keep wording concise enough that it can be copy-pasted into a research plan document.


Step 4: Generate Research Materials

For each chosen method, generate concrete artifacts. Keep templates modular so they can be reused across projects.

4.1 Recruitment Screener

Structure:

  • Study title and short purpose (participant-facing)
  • Eligibility questions
    • Must-have criteria (knock-out logic)
    • Nice-to-have criteria (for quota balancing)
  • Disqualification rules (e.g., professional researchers, competitors)
  • Demographic / firmographic questions only as necessary

Make the screener:

  • Simple enough for non-researchers to administer
  • Explicit about inclusion/exclusion logic

Include:

  • Plain-language description of the study’s purpose
  • What participation involves (time, activities, recording)
  • Incentive and payment process
  • Privacy and confidentiality statement
  • Contact for questions or withdrawal

Ensure consent text is non-legalistic but clear; defer to the user’s legal or compliance team for final approval.

4.3 Interview / Discussion Guide

For qualitative interviews, base structure on best practices from interview-focused texts:

  • Introduction and warm-up
  • Core sections aligned to key questions or themes
  • Probing prompts and follow-ups (avoid leading questions)
  • Wrap-up, closing questions, and thanks

Organize the guide as:

  • Section headings (themes)
  • Bullet-point questions and probes
  • Optional timing guidance per section
4.4 Usability Test Script

Components:

  • Study intro (purpose, disclaimers, think-aloud instructions)
  • Task list
    • Realistic scenarios framed in user language
    • Clear success criteria per task
    • Space for observers to note observations
  • Closing questions (short interview or satisfaction questions)

Include simple moderator cues (what to read verbatim, when to stay silent, when to probe).

Show full SKILL.md (666 more words)Show less
4.5 Survey Questionnaire

When planning surveys, follow quantitative UX and survey-design guidance:

  • Map each construct (e.g., satisfaction, trust, task success) to specific items
  • Prefer simple, unambiguous wording
  • Choose scale types consistently (e.g., 5- or 7-point Likert, yes/no, NPS)
  • Keep survey as short as possible while still answering key questions

Output:

  • Ordered list of questions
  • Response options and scale labels
  • Any skip logic or branching described in plain language

Step 5: Package an Execution-Ready Output

Default response format for this skill:

markdown
# Research Plan Overview

## 1. Background & Objectives
[Problem statement, context, objectives]

## 2. Research Approach
- Primary method(s): [...]
- Secondary method(s): [...]
- Rationale: [...]

## 3. Participants
- Target: [...]
- Inclusion / exclusion: [...]
- Sample size and rationale: [...]

## 4. Procedure & Timeline
[Study phases, session format, key milestones]

## 5. Risks & Ethics
[Key ethical considerations, data handling notes]

## 6. Research Materials
- Recruitment screener
- Invitation & consent text
- Interview / test script / survey questions

Populate each section with concrete, copy-paste-ready content tailored to the user’s situation.


Phases Overview

For more detailed step-by-step guidance, this skill includes phase files under phases/:

  • phases/01-clarify-need.md

    • Use when you need to deeply clarify the research need, decisions, target users, and constraints.
    • Expands Step 1 into a full workflow for:
      • Business context and decisions.
      • Research objectives and key questions.
      • Target users and context.
      • Constraints and a one-page Phase 1 summary.
  • phases/02-method-selection-and-plan.md

    • Use when moving from clarified need to method selection and a full research plan.
    • Expands Steps 2–3 into:
      • Mapping objectives to research types (exploratory, descriptive, evaluative, causal).
      • Selecting single or mixed methods.
      • Drafting a structured research plan (background, methodology, participants, procedure, risks).
  • phases/03-materials-and-logistics.md

    • Use when turning the approved plan into research materials and an operational schedule.
    • Expands Steps 4–5 into:
      • Mapping plan components to required artifacts (screener, guide, script, survey, etc.).
      • Drafting and refining materials using the templates.
      • Creating timelines, roles, and operational checklists.

When a user task is complex (e.g., multi-method study, multiple stakeholders, long timeline), prefer:

  1. Following the relevant phases/ file(s) for process and structure.
  2. Using the templates/ files for concrete artifact formats.

Templates Overview

This skill is bundled with detailed templates under templates/. Use them as follows:

  • Research planning and alignment

    • When the user asks for a research plan or study proposal, read:
      • templates/research-plan-template.md
    • When the user needs stakeholder alignment or a kickoff agenda, read:
      • templates/stakeholder-kickoff-template.md
      • templates/stakeholder-walkthrough-template.md
    • When scoping what is out of scope and defining future research needs, read:
      • templates/out-of-scope-and-research-needs-template.md
    • When grounding a study in existing knowledge with a desk/literature review, read:
      • templates/literature-review-template.md
  • Consent and ethics

    • For any study involving human participants (interviews, usability tests, diary studies, etc.), read:
      • templates/uxr-consent-form-template.md
  • Interview- and workshop-based methods

    • For qualitative interviews or discussions, read:
      • templates/interview-guide-template.md
    • For focus groups, read:
      • templates/focus-group-template.md
    • For persona workshops and persona documentation, read:
      • templates/persona-workshop-and-template.md
    • For stakeholder discovery sessions, read:
      • templates/stakeholder-walkthrough-template.md
    • For brainstorming/ideation sessions, read:
      • templates/brainstorming-template.md
  • Usability and UX evaluation

    • For moderated usability testing, read:
      • templates/usability-test-script-template.md
    • For expert reviews of flows or UI, read:
      • templates/expert-review-template.md
    • For heuristic evaluations, read:
      • templates/heuristic-evaluation-template.md
    • For rapid iterative testing (RITE), read:
      • templates/rapid-iterative-testing-rite-template.md
    • For eye-tracking studies, read:
      • templates/eye-tracking-template.md
    • For A/B tests / online experiments, read:
      • templates/ab-test-template.md
  • Information architecture and navigation

    • For card sorting (mental models, IA exploration), read:
      • templates/card-sorting-template.md
    • For tree testing (validating IA structure), read:
      • templates/tree-testing-template.md
  • Surveys and satisfaction measurement

    • For customer satisfaction surveys (CSAT, NPS + drivers), read:
      • templates/customer-satisfaction-surveys-template.md
    • For recruitment screeners and survey structures, read:
      • templates/screener-and-survey-template.md
  • Contextual and longitudinal methods

    • For contextual inquiry / field visits, read:
      • templates/contextual-inquiry-template.md
    • For diary studies, read:
      • templates/diary-study-template.md
    • For shadowing and associated note-taking, read:
      • templates/shadowing-template.md
      • templates/shadowing-notes-template.md
    • For ethnographic or deep contextual work, read:
      • templates/ethnography-template.md
  • Strategy, jobs, and journeys

    • For Jobs to Be Done (JTBD) framing, read:
      • templates/jobs-to-be-done-template.md
    • For gap analyses (current vs desired experience or capability), read:
      • templates/gap-analysis-template.md
    • For user journeys / experience maps, read:
      • templates/journey-map-template.md
    • For competitive or comparative analysis, read:
      • templates/competitive-analysis-template.md
    • For Kano analysis of feature satisfaction, read:
      • templates/kano-analysis-template.md
  • Visualization and empathy tools

    • For empathy maps, read:
      • templates/empathy-map-template.md
    • For storyboards to visualize key moments, read:
      • templates/storyboard-template.md

When generating any concrete artifact (plan, screener, guide, script, survey, etc.), first:

  1. Identify the relevant method(s) based on the user’s goal.
  2. Read the corresponding template file(s) from templates/.
  3. Adapt the structure and fill in project-specific details.

Future Extensions

To keep SKILL.md concise, move heavier content into separate files when needed:

  • phases/ directory for more detailed, phase-by-phase instructions (similar to interview-analysis skills)
  • templates/ for long-form templates and examples

Link to those files from this skill when they exist, and keep this core document focused on the high-level framework and standard response structures.

© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 36 other files in skills/research-planner of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json
  • phases/01-clarify-need.md
  • phases/02-method-selection-and-plan.md
  • phases/03-materials-and-logistics.md
  • templates/ab-test-template.md
  • templates/brainstorming-template.md
  • templates/card-sorting-template.md
  • templates/competitive-analysis-template.md
  • templates/contextual-inquiry-template.md
  • templates/customer-satisfaction-surveys-template.md
  • templates/diary-study-template.md
  • templates/empathy-map-template.md
  • templates/ethnography-template.md
  • templates/expert-review-template.md
  • templates/eye-tracking-template.md
  • templates/focus-group-template.md
  • templates/gap-analysis-template.md
  • templates/heuristic-evaluation-template.md
  • … and 18 more

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Research Planner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Research Planner compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Planner this skillLeoYeAI/openclaw-master-skills2.2k—~4.2kAutomated safety check: PassMIT
Lean UX Canvas v2deanpeters/Product-Manager-Skills7.2k1 repos~6.2kAutomated safety check: PassCustom licence
Usability TestingOwl-Listener/designpowers251—~710Automated safety check: PassMIT
Usability TestingProrise-cool/Claude-Code-Multi-Agent306—~4.2kAutomated safety check: PassNone
Product Design Super Intelligencecoco-research/coco513—~2.5kAutomated safety check: PassCustom licence
UX Researcher Designeralirezarezvani/claude-skills28k1 repos~3kAutomated safety check: PassMIT

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Questions about Research Planner

What does Research Planner do?

Designs market and user research plans focused on methodology selection and research material authoring (screeners, surveys, interview guides, usability task scripts, etc.). Research Planner is an agent skill from LeoYeAI/openclaw-master-skills.).

When should I use Research Planner?

Research Planner fits situations like: the user wants to plan; structure research activities; choose between qualitative and quantitative methods; draft research artifacts.

How do I install Research Planner in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill research-planner -a claude-code`. Or copy the skill folder (skills/research-planner in LeoYeAI/openclaw-master-skills) into .claude/skills/research-planner in your project. Claude Code loads it when a task matches its description.

How do I install Research Planner in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill research-planner -a codex`. Or copy the skill folder (skills/research-planner in LeoYeAI/openclaw-master-skills) into .agents/skills/research-planner in your project. Codex loads it when a task matches its description.

Can I use Research Planner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill research-planner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-planner, .gemini/skills/research-planner, .github/skills/research-planner and .opencode/skills/research-planner in your project.

What does Research Planner need to run?

Going by SKILL.md and its folder, Research Planner needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Research Planner access the network?

SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: nngroup.com and userinterviews.com. This is read from the text; nothing was executed.

Is Research Planner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Planner use?

Research Planner is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Planner use?

About 4.2k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Research Planner?

Skills that share tags, products or a category with Research Planner: Lean UX Canvas v2 (deanpeters/Product-Manager-Skills, 7.2k stars), Usability Testing (Owl-Listener/designpowers, 251 stars), Usability Testing (Prorise-cool/Claude-Code-Multi-Agent, 306 stars) and Product Design Super Intelligence (coco-research/coco, 513 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Planner?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.