iscagent

End-to-end pipeline to augment any repository for AI-assisted development. Installs opinionated engineering workflows, generates documentation, and configures Claude Code or Cursor.

Destructive command safety guardrails. Warns before dangerous operations in production and shared environments.

Transform a knowledge graph into a human-readable /docs folder with markdown documentation that both humans and agentic workflows can reference.

Systematic root-cause debugging and incident investigation. No fixes without understanding the problem first.

Architecture review before implementation. Walk through design, failure modes, scope, and test strategy before writing code.

Engineering retrospective and velocity analytics from git history. Generates weekly insights on team productivity, code quality, and contribution patterns.

Structured code and infrastructure PR review with evidence-based findings, auto-fix classification, and scope drift detection.

Automated release pipeline — test, review, version, changelog, commit organization, and PR creation with minimal user intervention.

Transform a knowledge graph into Mermaid diagrams for architecture visualization, dependency mapping, and data flow analysis.

Generate stateful, agent-native CLI interfaces for any codebase or software. Dual output (human + JSON), backend bridging, session management, and auto-generated skill definitions. Extracted from CLI-Anything methodology.

Systematic codebase analysis that builds a knowledge graph — scan, analyze, map architecture, and generate guided tours. Extracted from Understand-Anything methodology.

Memory-based agent communication protocol for multi-agent workflows

Team composition templates for coordinated multi-agent tasks

Decision framework for selecting the right model for each task