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fluxloop-context

Scans AI agent codebase and generates/updates profile summaries for FluxLoopCLI-driven discovery and management.

9|Updated Sep 26, 2025
Search Tags:#documentation#context#codebase#agent#scan#profile
One-click install
npx skills add https://github.com/Fluxloop-AI/fluxloop --skill fluxloop-context
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fluxloop-context
Source: https://github.com/Fluxloop-AI/fluxloop/tree/main/fluxloop-plugin/skills/context
Command: npx skills add https://github.com/Fluxloop-AI/fluxloop --skill fluxloop-context

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of understanding and documenting your AI agent's codebase, ensuring its profile is up-to-date and discoverable.

Core Features & Use Cases

  • Codebase Scanning: Analyzes key files like READMEs, main agent files, and dependency lists.
  • Profile Generation: Creates a concise summary of the agent's role, LLM, tools, and features.
  • Dual Write: Updates both the FluxLoop server and local .fluxloop/test-memory/agent-profile.md for consistency.
  • Use Case: After making changes to your agent's system prompt or adding new tools, run this Skill to automatically refresh its profile, making it easier for others (or yourself later) to understand its capabilities.

Quick Start

Scan the agent's codebase and update its profile.

Frequently Asked Questions about fluxloop-context

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

FAQPage Schema
How do I automatically scan my agent's codebase and generate documentation?▼

To scan an agent's codebase and generate documentation, this Skill analyzes key files like READMEs, main agent files, and dependencies to automatically create a concise profile summary of its role, LLM, and tools.

How do I update my AI agent's profile after changing its system prompt or adding new tools?▼

You update an AI agent's profile by running this Skill to scan the modified codebase, which refreshes the profile summary to reflect the new system prompt or tools for improved agent discovery and context management.

Do I need to install the FluxLoop CLI to scan and profile my agent's code?▼

Yes, you need the FluxLoop CLI installed because it is required to execute the server-side intent refinement and local data pushing operations used during the agent codebase profile generation process.

What is codebase profiling for AI agent context management?▼

Codebase profiling for AI agent context management is the process of scanning an agent's files and dependencies to generate a summary profile, ensuring its capabilities are documented and discoverable.

Where does the agent profile data get stored after a codebase scan?▼

After a codebase scan, the agent profile data is stored locally in the `.fluxloop/test-memory/agent-profile.md` file and simultaneously updated on the FluxLoop server to maintain consistency.

Can I use this to profile an agent codebase without a README file?▼

Profiling an agent codebase without a README is possible, but the generated profile summary will rely primarily on scanning the main agent files and dependency lists to infer the agent's role and features.

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