Coordinate backlog, graph, and semantic reconciliation for AI-driven code reviews.
npx skills add https://github.com/amingclawdev/aming-claw --skill aming-claw
Please help me install this Agent Skill. Skill: aming-claw Source: https://github.com/amingclawdev/aming-claw/tree/main/skills/aming-claw Command: npx skills add https://github.com/amingclawdev/aming-claw --skill aming-claw
Aming Claw provides a graph-first governance framework to manage code changes, backlog, and semantic reconciliation, ensuring safe, auditable collaboration in AI-guided reviews.
Initialize a session by loading the Aming Claw context and graph-first resources, then begin governed review via the dashboard.
High-intent search queries and answers about installing and using this skill.
Graph-first governance enforces the active project graph as the single source of truth, coordinating backlog tracking and semantic reconciliation before allowing code mutations during AI-driven reviews.
Generate and manage backlog rows with explicit evidence and acceptance criteria tied to graph state, ensuring all code changes are planned and auditable before any mutations occur.
Yes, MCP-led operations apply post-commit runtime checks, providing guardrails for safe, auditable changes and governing approvals across your project.
Yes, semantic enrichment guardrails queue, review, and project projected memory with strict gating and reconcile mechanisms to ensure safe semantic reconciliation.
A dashboard-backed collaboration surface inspects project graph, backlog, and semantic queues, providing a shared view for humans and AI to govern reviews.
KorytoInitialize a dotagent session by claiming session state with a valid session_id.
autogame-17Analyze runtime history and apply GEP protocol-constrained changes to AI agents.
5hdanielGenerate and open an interactive backlog dashboard with charts and filters.
skogaiMap codebase relationships between functions, classes, and modules using knowledge graph tools.
