project priority decision planner

    1

    Rank competing projects against strategic goals and capacity using weighted scoring and opportunity cost analysis.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    project priority decision planner

    Example session with this skill installed

    We have 4 projects for Q3 but only 400 dev-hours. Goals: 1. Reduce churn, 2. AI integration. Projects: A (Churn dashboard, 100h, high value), B (Legacy refactor, 150h, low alignment), C (LLM feature, 200h, high alignment), D (API cleanup, 80h, moderate value). Rank them.

    • Read your context and instructions
    • Compiled the project priority decision

    I have analyzed your Q3 portfolio against your available 400 dev-hours. Applying a 0.8 utilization factor, your effective capacity is 320 hours. Total demand is 530 hours, resulting in a 210-hour overcommitment gap. ## Project Priority Decision — Q3 | # | Project | Value | Urgency | Align | Effort | Risk | Score | Decision | |---|---------|-------|---------|-------|--------|------|-------|----------| | 1 | Churn Dashboard | 5 | 4 | 5 | 4 | 4 | 4.55 | Pursue | | 2 | LLM Feature | 4 | 3 | 5 | 2 | 2 | 3.60 | Pursue | | 3 | API Cleanup | 3 | 2 | 2 | 4 | 4 | 2.70 | Delay | | 4 | Legacy Refactor | 2 | 2 | 1 | 2 | 3 | 1.85 | Stop | **Weights:** Value 0.30, Urgency 0.25, Alignment 0.25, Effort 0.10, Risk 0.10 ## Pursue - **Churn Dashboard** — Primary driver for Goal 1. High value with manageable effort. First action: Finalize schema for churn event tracking. Owner: Data Team. - **LLM Feature** — Directly serves Goal 2. High strategic alignment despite significant effort and risk. First action: Select base model and set up prompt evaluation framework. Owner: AI Engineering. ## Delay - **API Cleanup** — Moderate value but lacks urgency compared to churn and AI goals. Revisit: End of Q3 or if LLM feature finishes early. ## Stop - **Legacy Refactor** — Lowest alignment with current goals and high effort. Opportunity cost of continuing: Completing the LLM feature would be impossible this quarter. ## Opportunity Cost - Pursuing the **Churn Dashboard** requires delaying the **API Cleanup**, pushing back third-party integration improvements by 3 months. - Pursuing the **LLM Feature** means we must **Stop** the **Legacy Refactor**, accepting technical debt in the auth module to hit the AI shipping window. ## Execution Roadmap ### Week 1–4 - **Churn Dashboard**: Implementation of telemetry and initial visualization. - **LLM Feature**: RAG architecture design and vector store setup. ### Week 5–8 - **Churn Dashboard**: Beta testing with CS team. - **LLM Feature**: Integration into the main application UI. ### Next Period - **API Cleanup**: Re-evaluate based on new API usage patterns from the LLM feature. **Next steps** 1. Review the "Stop" decision on Legacy Refactor with the Lead Architect. 2. Confirm the 150h estimate for the LLM Feature with the AI team. 3. Schedule the Churn Dashboard kickoff for Monday.

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    About this skill

    The problem

    Engineering and product teams often suffer from "everything is a priority" syndrome. Without a structured way to rank competing requests against capacity, teams overcommit, ship late, or waste cycles on low-value tasks.

    What it does

    • Ranks projects using a weighted formula based on value, urgency, strategic alignment, effort, and risk.
    • Calculates capacity vs. demand to identify overcommitment gaps before they happen.
    • Categorizes initiatives into Pursue, Delay, Delegate, or Stop buckets.
    • Surfaces the specific opportunity cost for every top-tier project selected.
    • Generates a sequenced execution roadmap with first-step actions for every active stream.

    Why this beats prompting it yourself

    This skill prevents the "middle-ground" bias where LLMs rank everything as equally important. It uses a specific weighted mathematical model and anchored scoring to force difficult trade-offs that simple prompting usually misses.

    Use cases

    • Quarterly planning to decide which initiatives get funded and which get shelved.
    • Managing inbound requests that threaten to derail a current sprint or roadmap.
    • Rationalizing a bloated project backlog by identifying high-risk or low-alignment work to stop.
    • Communicating resource constraints to stakeholders using data-backed capacity analysis.

    Known limitations

    Requires the user to provide rough effort estimates and strategic goals. It does not integrate directly with Jira or linear APIs to pull data or update tickets.

    Requires manual input of project estimates and team capacity. Does not sync with project management software APIs. Best suited for high-level planning rather than task-level sequencing.

    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 uses a rigorous weighted scoring model and opportunity cost analysis to force hard trade-offs, preventing the "middle-ground" bias where standard AI responses rank everything as a high priority.

    You will receive the project priority decision planner skill, a comprehensive guide on how to format your project data for best results, and a template for defining your strategic scoring weights.

    The skill is compatible with all major LLMs (such as GPT-4, Claude 3, and Gemini) and can be easily imported into any AI agent platform that supports custom system instructions or skill sets.

    No, this version focuses on high-level decision logic and does not require API access; you simply provide your project list and capacity estimates via text or document upload.

    Setup is near-instant; once you import the skill, you only need to provide your current strategic goals and a list of projects to begin generating your ranked roadmap.

    Buyers receive lifetime access to this version of the skill, including any documentation updates or refinement to the weighted scoring logic released by the creator.

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