spencerpauly/awesome-cursor-skills/parallel-exploring

Claude Code and agent skill by spencerpauly/awesome-cursor-skills

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Explore a large codebase in parallel by launching multiple explore subagents that each investigate a different area simultaneously. Use when onboarding onto a new project, understanding architecture, or investigating a cross-cutting concern.

Install

npx vskill@latest install spencerpauly/awesome-cursor-skills/parallel-exploring

SKILL.md

Parallel Explore

Use this skill when you need to understand a large or unfamiliar codebase quickly — onboarding onto a new project, investigating how a feature works across layers, or mapping the architecture.

How It Works

Cursor's explore subagent is a fast, read-only agent optimized for searching and reading code. You can launch multiple explore agents in a single message and they run concurrently, each investigating a different area.

Steps

  1. Identify the areas to explore — break the codebase into logical zones. For a typical full-stack app:
  • Frontend: components, pages, routing, state management
  • Backend: API routes, database models, middleware, auth
  • Infrastructure: CI/CD, Docker, deployment config
  • Shared: types, utilities, constants
  1. Launch parallel explore agents — use the Task tool with subagent_type: "explore" for each area. Launch them all in one message:

``` Task 1: "Explore the frontend — find the main pages, routing setup, state management approach, and UI component library. Check src/app/, src/components/, src/pages/. Report the framework, router, styling approach, and key components."

Task 2: "Explore the backend — find the API routes, database setup, ORM, auth middleware, and data models. Check src/server/, src/api/, lib/, prisma/. Report the framework, database, auth strategy, and key endpoints."

Task 3: "Explore the infrastructure — find CI/CD config, Docker setup, deployment targets, and environment variable management. Check .github/, docker, .config., .env. Report the deploy target, CI provider, and any IaC." ```

  1. Synthesize the results — when all agents return, combine their findings into a coherent picture:
  • Tech stack summary (frontend, backend, database, infra)
  • Architecture diagram (describe the data flow)
  • Key files and entry points
  • Potential concerns or tech debt

Other Use Cases

  • Cross-cutting investigation: "Where is user authentication checked?" — launch agents to search the frontend (route guards), backend (middleware), and database (session storage) simultaneously.
  • Dependency audit: launch agents to check different parts of the dependency tree for outdated packages, security issues, and unused imports.
  • Migration planning: have agents simultaneously assess the frontend, backend, and tests to estimate the scope of a framework migration.

Notes

  • Explore agents are read-only — they can't modify files.
  • Use thoroughness: "very thorough" in the prompt for comprehensive analysis.
  • Each agent has its own context window, so they can each read many files without running out of space.
  • For a single focused question, just use Grep or SemanticSearch directly — subagents are for broad exploration.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
683
Repository forks
108
7-day trend score
33

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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