How does it handle missing documentation?

If no context directory is found, it recommends running /agentem:init to scaffold the directory and warns that output quality may be limited without context.

What is the purpose of the autonomy config?

It parses a YAML file to determine which actions an agent can perform autonomously, which require user approval, and which are completely disabled.

Does it track agent history?

Yes, it loads an agent-state.json file to review last run times, signal history, and feedback patterns to ensure continuity between sessions.

What files does the Context Loader look for?

It scans the /context/ directory for Markdown files covering product strategy, architecture, team topology, and engineering standards, as well as state and autonomy configuration files.

Engineering Context Loader

Name: Engineering Context Loader
Author: anicol

byanicol

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생산성 및 워크플로

Synchronizes AI agents with project-specific documentation, state, and autonomy configurations to ensure context-aware execution.

The Context Loader skill is the foundational layer for the Agentem engineering management suite, ensuring that AI agents operate with a complete understanding of your product strategy, system architecture, and team topology. It automatically crawls the project's context directory to validate documentation readiness, parses agent state for continuity, and enforces autonomy boundaries defined in YAML configurations. By bootstrapping every task with this structured environmental data, it eliminates hallucinations and ensures the agent adheres to team standards and historical context.

주요 기능

01Enforcement of action permissions via YAML autonomy configurations

023 GitHub stars

03Persistence management through JSON-based agent state loading

04Automated discovery and validation of project context directories

05Comprehensive summary generation of available project metadata

06Detection of unfinished documentation via placeholder scanning

사용 사례

01Managing agent autonomy levels for sensitive engineering management workflows

02Onboarding an AI agent to a project with established engineering standards

03Validating project documentation completeness before starting architectural tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anicol/engineering-agents context-loader

For use in Claude.ai and ChatGPT

주요 기능

01Enforcement of action permissions via YAML autonomy configurations

023 GitHub stars

03Persistence management through JSON-based agent state loading

04Automated discovery and validation of project context directories

05Comprehensive summary generation of available project metadata

06Detection of unfinished documentation via placeholder scanning

사용 사례

01Managing agent autonomy levels for sensitive engineering management workflows

02Onboarding an AI agent to a project with established engineering standards

03Validating project documentation completeness before starting architectural tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anicol/engineering-agents context-loader

For use in Claude.ai and ChatGPT