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    Vishal Research Board Genarate

    1

    Transform raw research notes and reference descriptions into structured visual moodboard specifications and strategies.

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    Vishal Research Board Genarate

    Vishal Research Board Genarate

    Example session with this skill installed

    Analyze these notes on sustainable coffee packaging: users prefer earthy tones, competitor X uses recycled kraft paper, and the goal is to feel premium but eco-friendly. Suggest a board layout.

    • Read your context and instructions
    • Compiled the vishal research board

    I have processed your notes on sustainable coffee packaging. I have identified two primary theme clusters and developed a research-backed board layout.

    Visual Research Board: Sustainable Coffee Packaging

    1. Brief Snapshot

    • Objective: Create premium, eco-friendly coffee packaging.
    • Audience: Environmentally conscious premium coffee buyers.
    • Design challenge: Balancing the "raw" look of sustainability with "premium" quality cues.
    • Constraints: Must use recyclable or compostable materials.
    • Assumptions: Users equate "earthy tones" with authenticity.

    2. Research Signals

    • SIG-01: Users prefer earthy tones (Source: User Interviews).
    • SIG-02: Competitor X utilizes recycled kraft paper (Source: Competitor Audit).
    • SIG-03: Requirement for "premium" feel (Source: Project Brief).

    3. Theme Clusters

    • Theme: Raw Authenticity
    • Interpretation: Using unrefined textures to signal environmental honesty.
    • Evidence: SIG-01, SIG-02.
    • Visual implications: Matte finishes, tactile grain, visible fibers.
    • Confidence: High.

    4. Board Layout

    [North Star: Premium Eco-Sustainability]

       |
    

    [Zone A: Materiality] <---> [Zone B: Color Palette]
    (Kraft paper, textures) (Earthy tones, clay, moss)

       |
    

    [Zone C: Typography]
    (High-contrast serif for premium feel)

    5. Design Directions

    Direction: The Refined Naturalist

    • Mood: Sophisticated, quiet, grounded.
    • Color behavior: Monochromatic earthy tones with gold or foil accents.
    • Typography: Elegant, high-contrast serifs.
    • Materials / texture: Heavy-weight recycled stock with debossed logos.
    • Emphasize: Tactile quality and minimal ink coverage.
    • Avoid: Bright saturated greens or "cluttery" eco-labels.
    • Supporting clusters: Raw Authenticity.
    • Risks: May look too "expensive" and alienate mid-market buyers.

    6. Direction Comparison

    CriteriaThe Refined NaturalistNotes
    Audience FitHighAligns with premium expectations.
    Evidence StrengthMediumRelies on "earthy tone" preference.
    FeasibilityMediumSpecialty recycled stocks can be costly.

    7. Next Actions

    • Source 3 samples of high-weight recycled kraft paper.
    • Test debossing legibility on textured fiber backgrounds.
    • Draft a shortlist of earthy hex codes (Clay, Slate, Moss).

    Next steps

    • Review the "Refined Naturalist" direction for brand alignment.
    • Provide specific competitor names to refine the "Avoid" list.
    • Request the JSON version if you need to import this into your project management tool.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Visual research often results in a mess of disconnected screenshots, half-baked notes, and vague inspiration. This skill transforms raw observations and reference descriptions into a structured visual strategy, mapping every design recommendation back to specific research evidence.

    What it does

    • Atomic normalization converts scattered notes into structured observations with source IDs and visual implications.
    • Semantic clustering groups findings into 3–7 meaningful themes based on visual relevance rather than just keywords.
    • Directional mapping develops distinct design concepts including mood, typography, and color behavior.
    • Board layout planning creates a hierarchical map of reference zones, connections, and tension points.
    • Evidence-based comparison evaluates directions against project constraints and audience fit using qualitative ratings.

    How it works

    1. Supply research by providing notes, interview transcripts, competitor reviews, or reference descriptions.
    2. Review clusters generated from your data, checking for confidence levels and identified research gaps.
    3. Select a direction from the proposed alternatives, each mapped to supporting evidence and potential risks.
    4. Follow the action plan to collect specific references or test assumptions identified in the next steps.

    Frameworks & tools

    This skill is framework-agnostic and designed for brand strategists, UI/UX researchers, and art directors. It produces structured Markdown reports or valid JSON for integration into design tools or documentation wikis.

    Why this beats prompting it yourself

    Generic prompts often hallucinate references or fail to link creative ideas to the original research. This skill enforces strict evidence-tracking, ensuring every visual recommendation is grounded in your specific data while explicitly flagging gaps in your brief.

    Use cases

    • Brand discovery to translate client interview notes into actionable moodboard specifications.
    • Product research to cluster competitor UI patterns and propose distinct interface directions.
    • Packaging design to map material observations and customer feedback to tactile visual concepts.
    • Creative audits to synthesize existing brand assets and identify inconsistencies or opportunities for evolution.

    Known limitations

    This skill does not generate image files, browse the live web for licensed assets, or verify the accuracy of user-provided research. All board layouts are provided as text-based specifications.

    Cannot generate image files or browse for live assets. Relies entirely on provided research notes. Board layouts are text specifications, not graphical canvases.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    What's inside

    Frequently Asked Questions

    This skill acts as a bridge between data and design, transforming raw text notes into structured visual strategies, moodboard layouts, and evidence-based design directions that are ready for implementation.

    You will receive the proprietary skill configuration, comprehensive documentation on input requirements, and a set of templates for exporting the results into Markdown or JSON format.

    This skill does not generate image files or AI art; instead, it provides the structural blueprints, thematic clusters, and layout specifications you need to curate a professional moodboard manually or in design software.

    Absolutely—it is designed to output valid JSON and structured Markdown, making it easy to copy findings into tools like Figma, Notion, or internal project wikis.

    No technical setup is required; once you add the skill to your compatible AI agent, you can immediately begin providing research notes via the chat interface to receive structured visual plans.