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    Structured Impl Planner

    by StrategistKit

    1

    You get the full implementation plan — constraints, risks, rollback points — before you open an editor.

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    See it in action

    You say

    I need to add Stripe subscriptions to my Next.js app. Plan the implementation across the API, database schema, and frontend components.

    Your agent does

    Step 1: Update Prisma schema (User model). Verification: Run prisma generate. Step 2: Create /api/webhooks/stripe. Verification: Test with Stripe CLI trigger. Step 3: Build Pricing Page. Rollback: Revert to current /billing. Pre-check: Verify Stripe Secret Key accessibility.

    What you get

    Map dependencies before starting complex multi-file featuresCreate step-by-step implementation lists with verification pointsIdentify risky rollback points in legacy code migrationsSequence tasks for clean, mergeable PRs in large repositories

    About this skill

    Jumping straight to code works until step seven, where the change you didn't anticipate meets the four files you already modified and nothing fits together anymore. This skill forces the planning work that prevents mid-implementation pivots: it maps every affected module before you write a line, surfaces the dependency order that makes changes non-reversible, identifies the test harness you need to build first, and writes a sequenced task list where each step is independently mergeable. You get the full implementation plan — constraints, risks, rollback points — before you open an editor. Use it when the feature touches more than two files, when the spec is incomplete, or when your last three attempts at 'just implementing it' produced a mess you refactored for longer than you built. Give it your codebase context, the feature description, and the constraints that matter; it returns a plan you can execute without rediscovering the architecture mid-flight.

    Changelog

    1. v1.1LatestJun 26, 2026

      Rewrote the skill body with real, expert content. Every section now carries concrete planning method (read context before planning, slice steps for independent verifiability keeping the build green, file-level change mapping, a verification action per step, rollback points before risky steps, assumptions surfaced as pre-checks, ordering & dependency logic, plan review & failure forecasting, writing plans explicit enough to delegate to coding agents, and mid-execution replanning). Replaced the generic placeholder sections.

    2. v1.0Jun 11, 2026

      Initial release

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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