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    Skills Roadmap Builder

    1

    Identify priority skills for a goal and turn them into a focused learning roadmap with practice and progress checks.

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    Skills Roadmap Builder

    Skills Roadmap Builder

    Example session with this skill installed

    I want to learn what skills to focus on for a data analyst role in a nonprofit. I have basic spreadsheets, no SQL, and six hours weekly. I attached two job descriptions: [paste excerpts]. Create a priority map, a 12-week roadmap with practice projects, and evidence I can use to check progress. Mark assumptions and do not suggest paid certificates unless the descriptions require them.

    • Read your context and instructions
    • Compiled the roadmap builder

    12-Week Data Analyst Skills Roadmap

    Goal and constraints

    Prepare for nonprofit data analyst opportunities using the two supplied job-description excerpts, starting with spreadsheet experience and six hours per week. Because the excerpts are not included here, the priorities below are provisional; replace them with skills actually stated in the descriptions.

    Provisional priority map

    Skill areaStarting pointWhy it may matterEvidence to build
    Spreadsheet analysisBasic familiarityCommon foundation for data cleaning and summaries; confirm in the descriptions.A documented analysis with clear formulas and checks.
    SQLNot yet startedOften used to retrieve structured data; verify whether required or preferred.Queries using filtering, joins, aggregation, and comments on assumptions.
    Data communicationNeeds assessmentAnalysts often explain findings to nontechnical partners.A one-page summary with a chart, caveats, and next questions.
    Data ethics and qualityNeeds assessmentNonprofit data can involve sensitive populations or program records.A checklist covering consent, access, minimization, definitions, and missingness.

    12-week sequence

    Weeks 1–2: Extract repeated requirements from the two descriptions. Strengthen spreadsheet cleaning, formulas, and validation using a public or synthetic dataset.

    Weeks 3–5: Learn SQL basics and practice SELECT, WHERE, GROUP BY, and joins. Build small queries over a sample nonprofit-style dataset.

    • Weeks 6–8: Choose one question, define metrics, analyze the sample data, and document limitations.
    • Weeks 9–10: Create a simple visualization and write a plain-language summary for a program audience.

    Weeks 11–12: Assemble a small portfolio case study, ask for feedback, and compare it against the actual job criteria.

    Six-hour weekly allocation

    • 2 hours structured learning
    • 2 hours hands-on practice
    • 1 hour project documentation
    • 1 hour review, feedback, and adjustment

    Progress checks

    At weeks 2, 5, 8, and 12, confirm: Can I perform the task without a tutorial? Can I explain my method and assumptions? Is there a work sample that demonstrates it? What criterion from the job descriptions does the sample address?

    Use only public, synthetic, or properly authorized data. Do not include client or beneficiary records in a portfolio. Review the actual descriptions before selecting courses or paying for credentials.

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

    About this skill

    Skills Roadmap Builder

    Choose what to learn next by linking a goal to required capabilities, current evidence, and realistic ways to practice. This skill builds an adaptable roadmap from role descriptions, project needs, or user-provided criteria, while separating sourced requirements from assumptions.

    Deliverables

    • Goal and skill criteria summary
    • Current skills and evidence inventory
    • Prioritized gap analysis
    • Learning and practice options with trade-offs
    • Milestones, checkpoints, and a review plan

    Workflow

    1. Clarify the target role, project, timeline, experience, and constraints.
    2. Gather relevant criteria from user-provided sources; cite or quote accurately when available.
    3. Map current evidence to each skill and flag missing information.
    4. Prioritize gaps by relevance, prerequisite, effort, and chance to practice.
    5. Propose a sequenced roadmap with measurable demonstrations and checkpoints.
    6. Revisit priorities as goals or requirements change.

    Guardrails

    Do not present generic market assumptions as universal requirements. Do not invent skill levels, credentials, or job criteria. Avoid unnecessary training recommendations and verify costs before commitment. A roadmap cannot guarantee hiring or advancement outcomes.

    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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    • Passed all security checks, Safe to install

    Requires

    No special tools required. User supplies target criteria, current skills, and time constraints; optional role descriptions or project requirements improve specificity.

    Listed2 days ago

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