Skill "when-orchestrating-swarm-use-swarm-orchestration" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), orchestration skill guidelines, when to use this skill, when not to use this skill and success criteria.
Skill "when-using-advanced-swarm-use-swarm-advanced" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), orchestration skill guidelines, when to use this skill, when not to use this skill and success criteria.
Extract learnings from session corrections and patterns, update skill files with persistent memory. Implements Loop 1.5 - per-session micro-learning between execution and meta-optimization.
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
Skill "agentdb-advanced" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), when not to use this skill, success criteria, edge cases & error handling and guardrails & safety.
Skill "agentdb-learning" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), when not to use this skill, success criteria, edge cases & error handling and guardrails & safety.
Skill "agentdb-memory-patterns" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), when not to use this skill, success criteria, edge cases & error handling and guardrails & safety.
Skill "agentdb-optimization" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), when not to use this skill, success criteria, edge cases & error handling and guardrails & safety.
Apply quantization to reduce memory by 4-32x. Enable HNSW indexing for 150x faster search. Configure caching strategies and implement batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. Deploy these optimizations to achieve 12,500x performance gains.
Skill "agentdb-vector-search" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), when not to use this skill, success criteria, edge cases & error handling and guardrails & safety.
Skill "agentdb" from DNYoussef/context-cascade, covering kanitsal cerceve (evidential frame activation), when not to use this skill, success criteria, edge cases & error handling and guardrails & safety.
Use Codex CLI in full-auto mode to fix issues iteratively until tests pass. Autonomous debugging and test-fixing loop with sandbox safety.
★not rated 32▲
+1 3mo agoA36 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: