agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Detect missing test coverage and generate test suggestions. Use when the user asks about coverage gaps, untested code, or what tests to write next; also after adding a feature to find what still needs tests.
$ npx -y skills add ruvnet/ruflo --skill test-gaps --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/test-gapsContext preview
The summary Claude sees to decide when to auto-load this skill.
Detect missing test coverage and generate test suggestions. Use when the user asks about coverage gaps, untested code, or what tests to write next; also after adding a feature to find what still needs tests.
name: test-gaps description: Detect missing test coverage and generate test suggestions. Use when the user asks about coverage gaps, untested code, or what tests to write next; also after adding a feature to find what still needs tests. argument-hint: "[--path PATH] [--limit N]" allowed-tools: Bash(npx *) mcp__plugin_ruflo-core_ruflo__hooks_worker-dispatch Read Grep
Find test coverage gaps via CLI:
npx @claude-flow/cli@latest hooks coverage-gaps --format table --limit 20 npx @claude-flow/cli@latest hooks coverage-route --task "add auth tests" npx @claude-flow/cli@latest hooks coverage-suggest --path src/
Or dispatch the testgaps worker via MCP: `mcp__plugin_ruflo-core_ruflo__hooks_worker-dispatch({ trigger: "testgaps" })`
For continuous detection, use `/loop` with the `loop-worker` skill targeting the `testgaps` worker.
An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/ruflo
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and…
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use…
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing…
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination