How does this benefit AI development agents?

It creates a standardized map of commands and capabilities in the .agent-docs folder, allowing AI agents to understand exactly which tools are available and how to execute them accurately.

What signatures does this skill detect?

It scans for CI/CD configurations, Dockerfiles, Infrastructure as Code (IaC) files, agent configurations, and various development frameworks to identify project capabilities.

Does it overwrite my existing documentation?

No, the skill includes guardrails to perform append-only merges where possible, ensuring that existing manual documentation is preserved while new findings are added.

What file formats does it generate?

The skill populates findings in several formats including Markdown (.md), JSON (.json), and YAML (.yaml) to ensure the data is accessible to both humans and automated tools.

Repository Capability Discovery

Name: Repository Capability Discovery
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Deployment & DevOps

Automates the detection of repository tooling, infrastructure patterns, and command signatures to build a dynamic project manifest.

About

The Repository Capability Discovery skill enables Claude to autonomously explore and document the technical landscape of any codebase. By scanning for common signatures like CI/CD pipelines, Docker configurations, Infrastructure as Code (IaC), and specific frameworks, it populates a structured memory system including capabilities, command lists, and dependency manifests. This is particularly useful when onboarding to a new project or maintaining an up-to-date map of project tooling for AI agents to ensure they use the correct commands and adhere to existing architectural patterns without manual intervention.

Key Features

Dynamic generation of command manifests and JSON documentation
Verified command recording with confidence level tracking
Automated tech stack signature detection (CI, Docker, IaC)
0 GitHub stars
Capability mapping for agentic memory systems
Intelligent merging of existing documentation to prevent data loss

Use Cases

Onboarding to complex legacy repositories to identify build and deploy tools
Maintaining standardized project indexes for AI-assisted development workflows
Auditing repository infrastructure to verify available automation and framework versions

About

Key Features

Dynamic generation of command manifests and JSON documentation
Verified command recording with confidence level tracking
Automated tech stack signature detection (CI, Docker, IaC)
0 GitHub stars
Capability mapping for agentic memory systems
Intelligent merging of existing documentation to prevent data loss

Use Cases

Onboarding to complex legacy repositories to identify build and deploy tools
Maintaining standardized project indexes for AI-assisted development workflows
Auditing repository infrastructure to verify available automation and framework versions