singularity-claude: A Self-Evolving Skill Engine for Claude Code
singularity-claude is an open-source Claude Code plugin that addresses skill rot in AI coding agents. The creator noticed that skills degrade over time due to edge cases and shifting requirements, with no built-in quality infrastructure. This tool adds a recursive evolution loop to maintain skill quality.
Key Features
- Score: Evaluates every skill execution using a 5-dimension rubric (0-100)
- Auto-repair: Automatically fixes skills when scores drop below a threshold
- Crystallize: Locks high-performing skills into git-tagged versions
- Detect capability gaps: Suggests new skills automatically
Skills progress through four maturity levels: Draft → Tested → Hardened → Crystallized. The entire system runs locally with no cloud dependencies or external requirements.
Installation
Install with two commands:
claude plugin marketplace add shmayro/singularity-claude
claude plugin install singularity-claudeThe current version is v0.1.0, and the creator is actively seeking feedback on what's missing, useful, or broken. The project is available on GitHub for developers to examine and contribute to.
📖 Read the full source: r/ClaudeAI
👀 See Also
AgentWorkingMemory: A Local Memory System for AI Coding Agents
AgentWorkingMemory (AWM) is a local memory system that solves the session-to-session amnesia problem in AI coding agents. It uses a SQLite database, three local ML models (~124MB total), and integrates automatically via MCP to provide persistent, context-aware memory across Claude Code sessions.
Claude Sleuth: A 56-Task Investigation Workflow for Claude AI
Claude Sleuth is a structured investigation workflow for Claude AI with 6 phases and 56 tasks, featuring persistent state storage via Cloudflare D1 and standardized output conventions including ISO 8601 timestamps, POLE entity records, and ICD 203 probability language.
Definable AI adds self-hosted observability dashboard with single flag
Definable AI, an open-source Python framework for building AI agents, now includes a built-in observability dashboard that can be enabled with one flag. The dashboard provides real-time event streaming, token accounting, latency metrics, and run replay without external dependencies.
Maggy: An Autonomous Engineering Platform on Claude Code with Cross-Session Memory and P2P Team Learning
Maggy sits at Level 4 of the AI coding tool spectrum: multi-model orchestration, cross-session memory, process intelligence from CI/reviews, and P2P team learning. Benchmarks show 83% reduction in Claude usage while catching 7 security issues missed by single-pipeline Claude Code.