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luizgmassa
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base-th0th

Enforce th0th-first workflows for semantic search, code compression, and symbol navigation.

Updated Aug 23, 2026
Search Tags:#semantic search#tool orchestration#context compression#codebase indexing#th0th#symbol graph#engineering memory
One-click install
npx skills add https://github.com/luizgmassa/Useful-Agent-Skills --skill base-th0th
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: base-th0th
Source: https://github.com/luizgmassa/Useful-Agent-Skills/tree/main/skills/massa-th0th/base-th0th
Command: npx skills add https://github.com/luizgmassa/Useful-Agent-Skills --skill base-th0th

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates ineffective, generic code exploration by enforcing a consistent workflow that uses th0th semantic search, compression, and symbol-graph tools to quickly locate definitions, usages, and project knowledge.

Core Features & Use Cases

  • Semantic-first code discovery: Uses th0th indexing and search to find relevant code paths when keyword search alone is insufficient.
  • Symbol navigation for accuracy: Jumps to definitions and fetches references to understand intent, impact, and call chains.
  • Context efficiency and decision memory: Compresses large context, stores important engineering decisions, and recalls past knowledge; includes indexing analytics and safe polling discipline.
  • Fallback behavior: Uses Glob/Grep/Read only when th0th does not find what you need.

Quick Start

Ask an AI assistant to index your project and then retrieve compressed context and symbol references for a specific feature implementation you need to modify safely.

Frequently Asked Questions about base-th0th

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

FAQPage Schema
How do I use semantic search to locate code definitions and usages across my project?▼

Semantic search locates code definitions and usages by indexing your project into a symbol graph, allowing you to query for code patterns and navigate call chains when keyword search is insufficient.

What is the best way to reduce token usage during long engineering sessions?▼

To reduce token usage during long engineering sessions, apply context compression and use optimized_context session caching to manage large codebases efficiently without losing critical information.

How do I index a codebase for symbol graph navigation and feature retrieval?▼

Index a codebase for symbol graph navigation by running th0th indexing primitives to map definitions and references, then retrieve compressed context to safely modify specific feature implementations.

Can I use native file scanning tools if semantic search does not find the code I need?▼

Yes, you can use native file scanning tools like Glob, Grep, and Read as a fallback behavior when semantic search tools do not find the specific code paths or definitions you need.

How does persistent memory management help with software engineering tasks?▼

Persistent memory management helps software engineering tasks by storing important engineering decisions and recalling past project knowledge, ensuring context is preserved across sessions.

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