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deepcontext-orchestrator

Orchestrate deepcontext MCP workflows for asynchronous codebase indexing and status checks.

1|Updated Apr 8, 2026
Search Tags:#summarization#indexing#search#mcp#background#orchestrate#deepcontext
One-click install
npx skills add https://github.com/sor88/deepcontext-orchestration --skill deepcontext-orchestrator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deepcontext-orchestrator
Source: https://github.com/sor88/deepcontext-orchestration/tree/main/skill
Command: npx skills add https://github.com/sor88/deepcontext-orchestration --skill deepcontext-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchestrate deepcontext MCP workflows for asynchronous codebase indexing, status checks, and result handoff to reasoning models, enabling reliable repo analysis without blocking the main assistant.

Core Features & Use Cases

  • Orchestrates indexing, status checks, and focused searches for codebase exploration.
  • Supports background indexing, multi-step search plans, and local-model summarization to reduce premium-model usage.
  • Ideal for scenarios where index state is uncertain, multiple findings must be combined, or a reusable repo-analysis pipeline is needed.

Quick Start

Check the repo’s indexing status, start background indexing if needed, run 2-3 focused searches, read top files, and summarize the findings.

Frequently Asked Questions about deepcontext-orchestrator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run background indexing for codebase exploration without blocking the main assistant?▼

Background codebase indexing runs asynchronously through deepcontext MCP orchestration, allowing the main assistant to continue operating. It supports status checks and result handoff to reasoning models, ensuring reliable repo analysis without blocking execution.

What is the best way to combine multiple codebase searches into a single summary?▼

The best way to combine multiple codebase searches is using an orchestrated MCP workflow that hands off findings to a cheaper local model for first-pass summarization. This reduces premium-model usage while aggregating multiple search results into a cohesive summary.

How do I check the indexing status of a repository before running searches?▼

You can check repository indexing status by initiating a status check through the deepcontext MCP orchestration workflow. This verifies whether the index state is ready or if background indexing needs to be started before running focused codebase searches.

Can I use a local model for first-pass summarization to reduce premium model usage?▼

Yes, you can use a cheaper local model for first-pass summarization through configurable execution modes. The orchestration workflow supports state persistence and reusable prompts to route initial summarization tasks away from premium reasoning models.

When should I not use asynchronous codebase indexing for repo analysis?▼

Asynchronous codebase indexing is not ideal for scenarios requiring immediate, synchronous search results or when dealing with very small codebases where background orchestration overhead outweighs the benefits of non-blocking execution and multi-step search plans.

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