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    Course Completion & Skill Gap Planner

    1

    Convert syllabi and skill gaps into measurable, project-based learning roadmaps with realistic effort estimates.

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    Course Completion & Skill Gap Planner

    Course Completion & Skill Gap Planner

    Example session with this skill installed

    I have a 10-week Python for Data Science syllabus. I know basic Excel but zero coding. I want to build a house price predictor in 4 weeks, studying 10 hours a week. Here is the syllabus...

    • Read your context and instructions
    • Compiled the course completion

    I have analyzed your syllabus against your 40-hour total time budget. Because you have zero coding experience, the primary bottleneck is the transition from Excel logic to Python syntax before reaching the machine learning modules.

    1. Goal and assumptions

    • Target outcome: Build a functional house price predictor (Regression model).
    • Constraints: 10 hours/week, 4-week deadline (40 hours total).

    Assumptions: You understand basic data rows/columns from Excel; "Zero coding" implies no prior experience with variables, loops, or libraries.

    2. Current skills and gaps

    CompetencyStatusPriorityConfidence
    Data Literacy (Excel)DemonstratedP3High
    Python FundamentalsGap IdentifiedP1 - BlockingLow
    Pandas DataframesGap IdentifiedP1 - BlockingLow
    Linear RegressionGap IdentifiedP2Low

    3. Milestone roadmap: Accelerated 4-Week Path

    Milestone 1: The Syntax Bridge (Week 1)

    • Outcome: Basic script execution and data types.
    • Learning Actions: Variables, Lists, Dictionaries, and Loops.
    • Project: Small script to calculate "Price per Square Foot" from a list of dicts.
    • Completion Gate: Write a loop that filters a list without using external help.

    Milestone 2: Data Manipulation (Week 2)

    • Outcome: Loading and cleaning CSV data using Pandas.
    • Learning Actions: Read CSV, handle missing values, basic filtering.
    • Project: Clean a "Messy Housing" CSV (remove nulls, fix headers).
    • Completion Gate: Generate a summary table (mean/median) for 3 different neighborhoods.

    Milestone 3: Modeling & Prediction (Weeks 3-4)

    • Outcome: Scikit-Learn implementation.
    • Learning Actions: Train/Test split, LinearRegression fit, evaluation metrics.
    • Project: Final House Price Predictor.
    • Completion Gate: Model outputs a price with an R-squared score above 0.6.

    Next steps

    1. Confirm if you have Python and VS Code installed or if we need to add a "Setup" task to Week 1.
    2. Provide the first module of your syllabus to see if we can skip the non-essential theory.
    3. Start Milestone 1 by defining your first variable.

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

    About this skill

    Self-paced learning often fails because syllabi lack personal context and students underestimate prerequisite gaps. This skill transforms raw course outlines and self-reports into a rigorous, evidence-based learning roadmap. It identifies what you actually know versus what you think you know, then builds a sequence of projects and completion gates to ensure you reach your target outcome.

    What it does

    • Competency Mapping extracts modules and dependencies from any syllabus to define specific, observable performance standards.
    • Skill Gap Analysis audits your current abilities against target requirements to label gaps as blocking, important, or optional.
    • Prerequisite Repair builds targeted modules to fix foundational weaknesses before you start advanced coursework.
    • Milestone Design creates structured learning blocks that replace passive reading with hands-on projects and measurable evidence.
    • Workload Estimation calculates weekly study hours based on your deadline and availability, offering both minimum viable and full paths.

    How it works

    1. Input Analysis parses your syllabus, current skills, constraints, and target goal to establish a baseline.
    2. Gap Prioritization ranks missing skills by their impact on the final outcome and their role as dependencies for later modules.
    3. Roadmap Generation sequences learning actions and projects into a chronological path with defined completion criteria.
    4. Progress Tracking provides a recovery-focused system for adjusting the schedule if tasks take longer than estimated.

    Frameworks & tools

    This skill is platform-agnostic. It works with university syllabi, online course outlines (Coursera, Udemy, edX), certification exam objectives, and professional competency frameworks.

    Why this beats prompting it yourself

    Generic prompts usually just turn a syllabus into a calendar, ignoring whether you have the prerequisites to actually do the work. This skill applies a "prerequisites first" logic and demands observable evidence at every stage, preventing the "illusion of competence" that comes from just watching videos.

    Use cases

    • Career Switching to bridge the gap between current experience and the technical requirements of a new role.
    • Exam Preparation for professional certifications where you need to map study time to specific exam weights.
    • Academic Support for university students who need to catch up on missed foundations while staying on track with a semester schedule.
    • Portfolio Building to turn theoretical course modules into a series of verifiable, documented projects.

    Known limitations

    Does not provide actual tutoring or content. Cannot verify external course policies or guarantee employment/certification. Assumes the learner provides accurate syllabus and skill data.

    Does not provide instructional content or tutoring. Estimates are planning aids only. Cannot guarantee certification or job placement. Depends on accuracy of user-provided syllabus.

    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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    Listed11 days ago

    What's inside

    Frequently Asked Questions

    This skill goes beyond a simple calendar by identifying hidden technical gaps and building mandatory 'prerequisite repair' modules, ensuring you don't hit a wall mid-course due to missing foundations.

    The skill is platform-agnostic; it can process structured data from university PDFs, online course URLs (like Coursera or Udemy), and even professional certification exam blueprints.

    You receive the specialized agent logic and a structured template for inputs, allowing you to generate unlimited learning roadmaps across different subjects for a one-time purchase.

    No, the planner focuses on instructional design and workload management; it builds the roadmap and project prompts, but you will still use your original course materials for the primary content.

    The roadmap includes 'Progress Tracking' logic that allows you to input your actual completion speeds and automatically recalculates your future milestones to keep your deadline realistic.

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