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unblocked-context-research

Query code, PRs, docs, messaging, and issue trackers via the Unblocked platform.

11|1|Updated Feb 11, 2026
Search Tags:#context retrieval#semantic search#issue tracking#code understanding#PR analysis
One-click install
npx skills add https://github.com/unblocked/skills --skill unblocked-context-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: unblocked-context-research
Source: https://github.com/unblocked/skills/tree/main/skills/unblocked-context-research
Command: npx skills add https://github.com/unblocked/skills --skill unblocked-context-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires unblocked, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the challenge of retrieving engineering context by unifying the search across various sources such as code, PRs, documentation, messaging platforms, and issue trackers.

Core Features & Use Cases

  • Unified Context Retrieval: Access information across code, PRs, docs, messaging platforms, and issue trackers in a single tool.
  • Semantic Search: Perform natural-language queries to search across different sources.
  • Use Case: When you need to understand the reasoning behind code changes, or when you're planning a new feature and want to know what's been done before.

Quick Start

Run the command unblocked context-research --query "<your query>".

Frequently Asked Questions about unblocked-context-research

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

FAQPage Schema
How do I search across code, PRs, and issue trackers simultaneously?▼

Unified context retrieval lets you search across code, PRs, documentation, messaging platforms, and issue trackers simultaneously using natural-language semantic search queries.

What is the best way to understand the reasoning behind code changes in a repository?▼

Semantic search across engineering context surfaces the reasoning behind code changes by unifying PR analysis, issue tracking, and messaging platform history into a single query interface.

Can I use natural language to query engineering documentation and code?▼

Natural-language query capabilities allow you to perform semantic search directly across engineering documentation, code, and issue trackers to retrieve relevant context.

Do I need the Unblocked platform to retrieve engineering context?▼

Yes, retrieving engineering context requires the Unblocked platform and associated APIs for data retrieval, querying unified sources via the unblocked context-research command.

How do I run a context retrieval query across multiple project sources?▼

Run the command unblocked context-research --query "<your query>" to perform natural-language semantic search across your project's code, PRs, and documentation.

When should I use unified retrieval instead of searching individual sources?▼

Unified retrieval is best when planning new features or understanding past decisions, allowing you to search code, PRs, docs, and messaging platforms instead of querying each source individually.

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