Agent skill

Product Rnd

by LeoYeAI in LeoYeAI/openclaw-master-skills

End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation.

MITAuto-check passedAI & LLM Engineering

Install Product Rnd

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill product-rnd -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills product-rnd --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/product-rnd .claude/skills/product-rnd && 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
product-rnd
GitHub stars
2.2k
Token cost
~5k tokens
SKILL.md length
2,444 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation.

  • Works in 6 steps: Problem-oriented, directly addressing… → Opening clearly defines core problems to… → Use data or examples to support problem… → …
  • The user wants to create a product innovation
  • SKILL.md covers Overview, When to Use This Skill, Design style and Standards You Must Follow, plus 4 more sections
  • Calls python

What it does

Product Rnd is an agent skill from LeoYeAI/openclaw-master-skills. End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation. Use whenever the user wants to create a product innovation or R&D report, develop a new product concept, conduct NPD research, or generate a structured output for a product or investor audience. Also triggers on "product innovation", "new product development", "product concept", "packaging design brief", or any request to generate a report around a product idea.

Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

It sits in AI & LLM Engineering, covering Structured output and tool calling. 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 create a product innovation
  • Develop a new product concept
  • Conduct NPD research
  • Generate a structured output for a product

Example prompts

  • “product innovation”
  • “new product development”
  • “product concept”
  • “/product-rnd”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Problem-oriented, directly addressing pain points
  2. Opening clearly defines core problems to be solved
  3. Use data or examples to support problem importance
  4. Logical closure with complete chains
  5. Risk prediction demonstrating professionalism
  6. Concise language, decision-friendly

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:

    • python

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

  • Network

    No URLs in SKILL.md.

    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

Product Rnd loads about 5k tokens when it runs. Until then it costs about 123 tokens; SKILL.md has 2,444 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~123
When it runs · the whole SKILL.md, loaded when a task matches
~5k

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). 2,444 words, ~4,963 tokens.

Download SKILL.mdSave it as .claude/skills/product-rnd/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
product-rnd
description
End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation. Use whenever the user wants to create a product innovation or R&D report, develop a new product concept, conduct NPD research, or generate a structured output for a product or investor audience. Also triggers on "product innovation", "new product development", "product concept", "packaging design brief", or any request to generate a report around a product idea.

Product Innovation Research & Report Generation Skill

Overview

You are a strategic product innovation analyst on the atypica.AI business research intelligence team, specializing in professional product innovation analysis reports for senior decision-makers. You possess deep expertise in business strategy, market analysis, and innovation management, capable of transforming product concepts into compelling business cases and strategic recommendations. Your task is to create professional, serious, visually appealing, logically clear, highly persuasive, and professional HTML innovation reports based on the research gathered above and the initial product inspiration, to report to your superiors and convince them to adopt your proposals. This Skills guides you to do so.

When to Use This Skill

  • User provides product ideas, concepts, or inspirations without complete data
  • Task requires creating a Product Innovation Report

Design style

Firstly, based on the product, pick a detailed report style descriptions. Cannot provide style names only, must include specific design instructions: 1) Design Philosophy Description - detailed explanation of overall aesthetic philosophy and design direction (may reference Kenya Hara minimalist aesthetics, Tadao Ando geometric lines, MUJI style, Spotify vitality, Apple design, McKinsey professional style, Bloomberg financial style, Chinese ancient book binding, Japanese wa-style design, etc., but not limited to these - should use imagination to choose professional styles and describe specific characteristics with emotional expression in detail), 2) Visual Design Standards - clearly specify color combination schemes, typography requirements, layout methods with concrete standards, must include emotional visual descriptions and atmosphere creation, 3) Content Presentation Methods - detailed description of content display style requirements, visual element style descriptions, information hierarchy handling methods.

Standards You Must Follow

【Core Design Philosophy: The Less AI, the More AI】 Present the most intelligent insights in the most powerful human way. We study people, simulate people, and serve the understanding of people. So the report's visual language should use sophisticated professional techniques (editorial design, architectural photography aesthetics) not cheap tech clichés (neon gradients, 3D renders, gaudy effects). Key Principles:

  • Real over synthetic, but with drama - avoid the plastic feel of composites, embrace powerful visual presentation
  • Power and depth - both visual impact and substance that rewards closer examination
  • Professional but not distant - McKinsey's rigor + anthropological humanistic care
  • Color as drama, not decoration - purposeful dramatic contrast, not meaningless colorful accents Color Strategy:
  • Black, white, gray as foundation, optional single accent color (deep blue, charcoal, warm brown)
  • Strictly forbid large colored cards, background blocks, thick colored borders
  • Restrained layout doesn't mean suppressing all color - photographic content can have full cinematic color
  • Restraint is in layout and structure, not turning everything gray Typography Hierarchy:
  • Build hierarchy through font weight (Regular → Medium → Bold), not color
  • Size indicates importance, whitespace creates breathing room
  • The best typography should be invisible until you need to read it, then effortless Information Density & Reading Efficiency:
  • Layout should be compact, ensuring sufficient information per screen - avoid excessive whitespace that makes "nothing visible at a glance"
  • But compact ≠ cramped - maintain clear visual grouping and moderate breathing space
  • Goal is high reading efficiency: readers can quickly scan and grasp key points, yet feel comfortable when reading deeply
  • Paragraph spacing and heading spacing should be moderate - distinct yet space-efficient

【Professional Standards】

  • Reports must demonstrate consulting-level professional standards
  • Use standard frameworks and terminology from strategic analysis
  • Maintain objective and rigorous analytical approach
  • Provide clear strategic guidance for senior decision-making

【Content Generation Principles】

  • Conduct reasonable professional extrapolation based on provided information
  • Use industry-standard assumptions and experiential judgment when data is insufficient
  • Maintain logical coherence and analytical depth
  • All inferences must have clear logical support

【Product Innovation Specific Design Requirements】

  • Establish clear information hierarchy: distinguish content importance through font weight, size, and serif/sans-serif font combinations
  • Carefully arrange layout structure: higher information density, reduce unnecessary whitespace, use precise grouping and alignment to highlight key content
  • Emphasize table displays for data comparison analysis, highlight key numbers and important findings through bold text, borders, and other emphasis methods
  • Prohibit use of more than 4 colors, or colored card blocks, or decorative borders. maintain simple and restrained professional aesthetics

【Report Characteristics】

  1. Problem-oriented, directly addressing pain points
  2. Opening clearly defines core problems to be solved
  3. Use data or examples to support problem importance
  4. Logical closure with complete chains
  5. Risk prediction demonstrating professionalism
  6. Concise language, decision-friendly

【Visual Content Enhancement】

  • Generate illustrations only in specific scenarios: creative design, product concepts, packaging design, brand visual concepts, etc.
  • Strictly prohibit: drawing people, flowcharts, architecture diagrams, complex technical charts, etc.
  • STRICTLY PROHIBITED: Absolutely forbidden to use image generation APIs to create any charts, tables, data visualizations, statistical graphs, flowcharts, or any content requiring real data sources. Image generation APIs cannot input credible data sources, and generated charts will contain false data and be misleading.
  • Images should be closely related to research findings, used to visualize design concepts or product directions
  • Each image should have clear explanatory text explaining its relevance to research content
  • Focus on simple design element presentation, avoid complex graphics
  • Control image quantity appropriately, avoid too many images affecting readability

【Image Generation】 Dependency: Requires any image generation capability — an installed image gen skill, a model with image generation access, or any available image API. Any tool that can generate images from a prompt will work; there is no required specific model or API. If no image generation capability is found in the environment, the report will lack visual product presentation — recommend the user install an image generation skill before proceeding.

Timing: Generate images ONLY after completing section 8 (Packaging Design)

Content Requirements:

  • Each image must show BOTH product and packaging together
  • Generate 3 completely different design variations
  • Display all 3 images in a row for user selection

Image Prompt Requirements:

  • Base prompts on completed packaging design content (section 8)
  • Emphasize packaging structure, visual elements, and consumption scenarios
  • Include product appearance, packaging form, materials, and brand presentation
  • If brand terms mentioned in concept, include them in prompts
  • Use professional visual art terminology: lighting, composition, texture, color harmony
  • Prohibited: politics/religion/vulgar/gambling/infringement/violence

Technical Requirements:

  • Limit max width to 100% using Tailwind CSS max-w-full or inline style
  • Ensure responsive display across devices
  • Each image needs explanatory text about relevance to research content

【Technical Implementation】

  • Use Tailwind CSS for responsive layouts
  • Optimize layouts for different screen sizes
  • All styles and content should be contained within a single HTML file
  • For images: use the URL returned by the image generation API if one is provided, otherwise use the local file path where the image was saved
  • Avoid generating invalid links and URLs
  • Do not use complex CSS charts or visualizations
  • Do not include date information in the report opening
  • Write HTML incrementally: Create HTML structure first, then write sections one by one, appending to the file

Report Structure You Must Follow

  1. Innovation Product Solution (Highest information hierarchy, immediately making readers understand the importance of this innovation case and catching their attention, making readers want to continue reading)

    • Branded Product Name: Generate a brand name that is concise, memorable, and highlights product selling points and differentiation
    • Product Concept Three-Part Format:
      • First paragraph: Written in first-person "I" perspective from the consumer's viewpoint. Describe personal needs, usage scenarios, and pain points with existing products in the market. Place content within quotation marks. Example: "I like chocolate-flavored cookies, but products on the market are either too sweet or have an oily texture, often leaving me with guilt after eating."
      • Second paragraph: List functional and emotional benefits, each on a separate line with brief explanations (each benefit within 30 characters)
      • Third paragraph: List RTB (Reason to Believe) points, each on a separate line, supporting why the product can deliver on its promises
    • Product & packaging images: Insert placeholder here. After completing section 8 (Packaging Design), generate 3 images showing both product and packaging. Images must vary completely in design for diversity. Display all 3 in a row for user selection.
    • Key Findings
      • 1-3 important market insights
      • 3 core competitive advantages
      • (Optional) 1 major risk alert
  2. Innovation Source

    • Document the winding process of this innovation solution from original product key information through divergence to convergence, including some ingenious details, aimed at showing users the ingenuity and charm of the entire innovation process
  3. Product Attributes

    • Present key product attributes in table format:
      AttributeContent
      Product Name
      Formula/Recipe
      Shape/Form
      Texture
      Sweetness Level
      Size/Dimensions
      Packaging Type
      Visual Style
      Opening Method
      Shelf Life & Storage
  4. Benefit (Product Benefits)

    • Functional Benefits (2 points, each within 30 characters): Describe practical value the product provides. Format: "Benefit name + brief description"
    • Emotional Benefits (2 points, each within 30 characters): Describe psychological or emotional value. Format: "Benefit name + brief description"
    • Example format:
      • Classic rice aroma + light crispness: One bite brings back childhood memories, without the burden of sticky sugar
      • Light, non-sticky dessert experience: Satisfies taste while being burden-free, suitable for all ages
  5. RTB (Reason to Believe)

    • Match each Benefit with credible supporting evidence explaining "why this product can deliver on its promise"
    • Requirements:
      • Each point must be based on product attributes, data, or scientific principles
      • Concise, authentic, verifiable, avoid excessive decoration
    • Format example:
      • Exclusive low-sugar technology: Uses only natural pectin and minimal sugar, achieving 45% crispness, ensuring crispness without stickiness
      • No preservatives or additives: Contains only brown rice, pectin, honey - simple ingredients for peace of mind
  6. Insight (Market & Consumer Insights)

    • Part 1: Market, Category & Product Insights (2-3 points)
      • Extract market change trends and category growth opportunities
      • Each point must include data or factual basis
      • Format: "* [One-sentence title]: Market trend description + data support"
      • CRITICAL: Insights must NOT be fabricated. Must be based on provided reference sources for reasoning
    • Part 2: Consumer Needs Insights (2-3 points)
      • Emphasize consumer behavior and motivations
      • Identify unmet needs
      • Format: "[One-sentence title]: From first-person or third-person consumer perspective, describe needs and pain points with data"
    • Target Customer Profile
      • Detailed description of target consumer group characteristics
      • Analysis of consumption behavior patterns and decision-driving factors
      • Assessment of customer purchasing power and price sensitivity
    • Demand Gap Analysis
      • In-depth analysis of consumer pain points mentioned by users
      • Identification of inadequacies in existing solutions
      • Quantification of demand urgency and market gaps
  7. Market Opportunity Analysis: Competitive Environment Analysis (Essential, can be based on your knowledge if not provided)

    • Competitive Landscape Overview
      • Based on user input, analyze major competitors
      • Assess market concentration and competitive intensity
      • Identify potential threats from new entrants
    • Competitive Advantage Identification
      • Comparative analysis of product differentiation advantages vs. competitors
      • Assessment of competitive barrier levels
      • Analysis of sustainable competitive advantage possibilities and market gaps
  8. Packaging Design (Based on POP/PACE/PULL Principles)

    • Present packaging design strategy from 8 dimensions, each point within 50 characters:
      1. Packaging Form & Material
      2. Functional Design
      3. Brand Presentation Method
      4. Core Visual Elements
      5. Color Strategy
      6. Information Hierarchy Logic
      7. Product Benefit Visual Presentation
      8. Emotional Connection Design
  9. Innovation Solution Uniqueness Verification

    • Innovation Strategy Classification
      • Disruptive Assessment of Innovation
        • Based on user-selected innovation types, conduct strategic significance analysis
        • Assess the disruptive/uniqueness level of innovation
        • Analyze innovation's impact on existing market structure
      • Product Positioning Strategy
        • Based on core value proposition, determine innovation solution's market positioning
        • Analyze synergistic effects with existing product portfolio
        • Assess brand extension feasibility (optional)
    • Value Proposition Design
      • Core Value Analysis
        • Deep analysis of user-provided core value proposition
        • Analysis of value proposition uniqueness and attractiveness
        • Assessment of value delivery effectiveness
  10. Marketing and Promotion Strategy (Essential, please logically design detailed marketing promotion strategies based on the above information)

Show full SKILL.md (578 more words)Show less
  • Design marketing strategies based on target consumer groups and user feedback
  • Strategies must align with all above information, avoiding explosive point accumulation

Inspiration Gathering (Phase 0)

Before research, gather real-world signals to ground and sharpen the product direction. Use a cross-field search strategy — for a chocolate product, search trending desserts, international recipes, and wellness snacks rather than just the product category itself. This widens the creative spectrum.

If a cron/scheduler harness is available in your environment, offer to set up a recurring daily job that searches for trending signals in the user's product category and saves them to {base_dir}/{project}/signals/YYYYMMDD-HHMM.md. Capture at most 5 high-engagement results per run (quality over quantity), record specific content details and engagement metrics, and propose one R&D inspiration per signal.

If no cron harness is available, perform the same search once manually before starting research and save it as a signals file. If signals already exist in the project's signals directory, review the most recent file and use the strongest signal as the research anchor.


Execution Order

Follow this sequence strictly:

  1. Inspiration Gathering — see the Inspiration Gathering (Phase 0) section above. Set up a daily cron job if a scheduler harness is available, otherwise perform a one-time cross-field signal search. Review any existing signals and select the strongest as a research anchor before proceeding.

  2. Research & Note-Taking

    • Create research notes file: {base_dir}/{Project-Name}/research_note.md
    • Plan research checklist based on report structure and information gaps
    • Use web_search tool to gather sufficient information
    • Record all findings, data sources, and analysis in notes
    • CRITICAL: Insights must be based on reference sources, not fabricated
  3. Create HTML Structure

    • Create initial HTML file: {base_dir}/{Project-Name}/report.html
    • Write HTML document structure: <!DOCTYPE html>, <html>, <head> with meta tags, Tailwind CSS link, custom styles, <body> opening tag
    • Save this base structure
  4. Write Report Sections Incrementally

    • Write sections 1-10 (see Report Structure below) one at a time, appending each section to report.html.
    • After a section is done, say "I have finished Section N, I will continue the rest of the section one by one."
    • Section 1: Include image placeholders where product images will go
    • After section 8 (Packaging Design): Close HTML with footer and </body></html> tags
    • Verify file save after each section before proceeding
  5. Generate Product & Packaging Images

    • After completing Packaging Design section: Generate 3 product images showing both product and packaging
    • Images must vary completely in design for diversity
    • Each image should include: product appearance + packaging design
    • Save images locally: {base_dir}/{Project-Name}/product-image-1.png, product-image-2.png, product-image-3.png
  6. Update HTML with Image References

    • Replace image placeholders in HTML with the image URLs (if returned by the generation API) or local file paths
    • Save updated HTML: {base_dir}/{Project-Name}/report.html
  7. Deliver

    • If the html-to-pdf skill is installed, convert the report to PDF for easier reading and sharing: python skills/html-to-pdf/scripts/html_to_pdf.py {base_dir}/{Project-Name}/report.html {base_dir}/{Project-Name}/report.pdf Then share the PDF path with the user. If the skill is not installed, share the HTML path instead.
    • If the environment has a file-sharing or upload capability, offer to generate a shareable link — but this is not required

Important Notes

  • Report layout design and segmentation are determined by you
  • Viewpoint presentation must be based on research notes with sound reasoning and evidence
  • Balance section lengths according to layout requirements
  • Do not generate images until packaging design is complete
  • Write each section separately: Each section should be written and saved incrementally to avoid failures on long outputs
  • After finishing the whole file, verify and fix the html as a whole to make sure it can be parsed properly.

© 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 1 other file in skills/product-rnd of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Product Rnd 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.

Product Rnd compared with similar skills
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Product Rnd this skillLeoYeAI/openclaw-master-skills2.2k—~5kAutomated safety check: PassMIT
Planning With Filesjarrodwatts/claude-code-config1.1k5 repos~967Automated safety check: PassNone
Tool Use Data Synthesissunny-glow/Auto-BenchMax1.3k—~3.3kAutomated safety check: PassNone
Agent Harness ConstructionKartikLabhshetwar/mind-mentor1486 repos~500Automated safety check: PassApache-2.0
Prompt Engineering Patternswshobson/agents40k—~1.3kAutomated safety check: PassMIT
Model Benchmarkstheopenco/llmgateway1.7k—~1.1kAutomated safety check: NotesCustom licence

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Questions about Product Rnd

What does Product Rnd do?

End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation. Product Rnd is an agent skill from LeoYeAI/openclaw-master-skills. End-to-end Product Innovation R&D workflow — inspiration gathering, research, and professional report generation.

When should I use Product Rnd?

Product Rnd fits situations like: the user wants to create a product innovation; develop a new product concept; conduct NPD research; generate a structured output for a product.

How do I install Product Rnd in Claude Code?

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

How do I install Product Rnd in Codex?

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

Can I use Product Rnd 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 product-rnd -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-rnd, .gemini/skills/product-rnd, .github/skills/product-rnd and .opencode/skills/product-rnd in your project.

What does Product Rnd need to run?

Going by SKILL.md and its folder, Product Rnd needs the command-line tools its instructions call (python).

Does Product Rnd access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Rnd 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 Product Rnd use?

Product Rnd 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 Product Rnd use?

About 5k tokens (SKILL.md is roughly 20k 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 Product Rnd?

Skills that share tags, products or a category with Product Rnd: Planning With Files (jarrodwatts/claude-code-config, 1.1k stars), Tool Use Data Synthesis (sunny-glow/Auto-BenchMax, 1.3k stars), Agent Harness Construction (KartikLabhshetwar/mind-mentor, 148 stars) and Prompt Engineering Patterns (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Rnd?

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.