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    Search Intent Decoder

    1

    Classify search queries by user goal and map them to useful pages, content, and next steps.

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    Search Intent Decoder

    Search Intent Decoder

    Example session with this skill installed

    Classify these queries for a SaaS invoicing product: “invoice template”, “how to chase an unpaid invoice”, “best invoicing software for freelancers”, “invoice app pricing”. Suggest page types.

    • Read your context and instructions
    • Compiled the search intent decoder

    Search Intent Decoder: practical plan

    Intent map

    QueryLikely taskIntent stageUseful page
    invoice templateCreate a document quicklyInformational / task completionFree template with clear limits and editable format
    how to chase an unpaid invoiceResolve a payment problemInformationalPractical follow-up guide with tone examples
    best invoicing software for freelancersCompare optionsCommercial investigationEvidence-based comparison with transparent criteria
    invoice app pricingEvaluate cost and fitTransactional / comparisonCurrent pricing page with plan limits and fees

    What to validate

    These are likely interpretations, not certainty. Review current search results by locale, device and date; inspect SERP features and competing page formats. Use Search Console or first-party query data when authorized, but do not treat one query as a full persona.

    Content recommendations

    The template page should help users complete the immediate task before presenting optional product value. The unpaid-invoice guide should offer respectful, jurisdiction-neutral examples and recommend checking applicable terms. Comparison content should disclose evaluation criteria and sponsorships. Pricing should make limits and billing cadence easy to find.

    Measurement

    Track task completion, qualified product exploration, demo starts and assisted conversions. Separate informational engagement from purchase intent. Review whether each page fulfills the query without forcing a signup.

    Next steps

    Collect 20–50 representative queries, cluster by task, verify live result patterns, map existing URLs, and identify gaps. Prioritize high-fit gaps where the product can genuinely help.

    Measurement and review

    Record the baseline, source, date range, denominator and owner. Use one primary measure plus quality guardrails; compare like-for-like cohorts and disclose missing data. Treat estimates as scenarios, not observed outcomes.

    Risks and controls

    Check relevance, consent, disclosure, workload and downside before scaling. Keep an evidence trail, obtain human review for material commitments, and pause if trust, quality or compliance signals deteriorate.

    Next steps

    1. Confirm the goal, audience and available capacity.
    2. Gather the minimum evidence for a first test.
    3. Assign an owner, budget and review date.
    4. Run a small pilot, record outcomes and decide whether to iterate, expand or stop.

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

    About this skill

    Create a practical, evidence-led Search Intent Decoder workflow. Classify search queries by user goal and map them to useful pages, content, and next steps. Distinguish observations from assumptions, request missing inputs, give actionable recommendations with owners and measurable outcomes, and flag uncertainty. Avoid fabricated metrics, unsupported guarantees, deceptive tactics and unnecessary personal data.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Verified clean 2 days ago

    • Passed all security checks, Safe to install

    Listed2 days ago

    What's inside

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