Detect project technology stack and write .devloop/context.json.
npx skills add https://github.com/Zate/cc-plugins --skill project-context-zate
Please help me install this Agent Skill. Skill: project-context Source: https://github.com/Zate/cc-plugins/tree/main/plugins/devloop/skills/project-context Command: npx skills add https://github.com/Zate/cc-plugins --skill project-context-zate
Detects and provides context about the current project's technology stack, languages, frameworks, features, and directory layout to inform engineering workflows.
Run the skill to populate .devloop/context.json with detected project details or read an existing context.
High-intent search queries and answers about installing and using this skill.
Tech stack detection analyzes your project files and directory structure to identify languages, frameworks, and architectures. Running this Skill produces a .devloop/context.json file containing detected technologies, enabling informed decisions for testing, builds, and deployments.
Project context detection generates a structured JSON file with project name, type, detected languages, frameworks, features, directory layout, security notes, and detection timestamp. This supports onboarding, architecture planning, and tooling decisions across engineering workflows.
The context.json file created by this Skill provides a quick reference of your project's tech stack, structure, and features. New teammates can review this file to rapidly understand architecture, dependencies, and project organization without manual investigation.
Yes. By detecting languages, frameworks, and project features, context detection provides the technical foundation needed to choose appropriate testing tools and strategies aligned with your stack's capabilities and conventions.
The Project Context Schema captures project name, type, detected languages and frameworks, features, directory layout, security notes, and detection timestamp. This structured format ensures consistent project metadata across engineering workflows and tooling integrations.
If a .devloop/context.json already exists, the Skill reads and leverages existing context data. This allows incremental updates and preserves manually curated or previously detected project information while adding new detections.
Ankh-StudioAnalyze a repository's technology stack using @specfy/stack-analyser to detect over 700 technologies.
cuembyInitialize new software projects and integrate existing codebases into standardized frameworks.
markshustGenerates standardized configuration files and pipeline hooks for autonomous TDD development based on detected tech stack dependencies.
dorrioGenerate ADRs, guides, and manuals from a TECH_STACK.
