Diagnose RAG/embedding/memory lifecycle health: audit chunking, detect embedding-model drift, find stale vectors, and regression-test retrieval recall with a golden Q/A harness. Not a vendor connector — it diagnoses retrieval quality.
Plugin apex-rag-memory from marketplace apex-dev-skills in Skobyn/Apex-Dev-Skills. Commands read from the repo's manifest — 16 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
eval-harnessBuild a golden Q/A set from a repo or corpus and measure retrieval precision/recall so that an embedding-model, chunking, or index change can be regression-tested instead of eyeballed. Use when the user wants to "test retrieval", "measure RAG recall", "build an eval set", "regression-test embeddings
memory-doctorAudit a project's RAG / embedding / memory subsystem for lifecycle problems and emit a prioritized findings report. Use when retrieval quality is degrading, when answers cite the wrong chunks, after changing an embedding model or chunker, when a vector store has grown stale or "haunted" by orphaned
/apex-rag-memory:memory-auditRun a RAG / embedding / memory lifecycle audit on a project and emit a prioritized findings report. Pass the project root (or leave empty for the cwd) as $ARGUMENTS.
apex-rag-memoryruns: python3 ${CLAUDE_PLUGIN_ROOT}/mcp/server.py
Route and govern delegation: a compiled routing policy picks the tier, provider, fan-out and review shape for each task or ad-hoc ask; PreToolUse/SubagentStop hooks enforce it; provider shims run external workers; every route, spawn, worker run and verdict lands in a hash-chained ledger, which report.sh --per-task prices per routed task. Drives apex-scope-loop as its execution engine.
2 skills · 6 commands · 10 agents · hooks
Typed, probability-carrying answers for the questions apex-dispatch and apex-scope-loop leave to judgment (task class, risk tier): one CLI, rubric files, a fail-closed validator for every backend, tri-state uncertainty, and calibration that only a measurement job can grant. Off until a repo opts in; absent, slow or unconfigured, routing stays table-only.
1 skill · 5 commands · hooks
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2 skills · 4 commands · hooks
Decide -> plan -> loop: SPARC-shaped ADR + phased plan authoring with scope sizing (bugfix, poc, feature) and an intent round, autonomous /loop + /schedule execution, per-phase swarm dispatch, The Gibson's harness gates (baseline green gate, independent review, Tier-C human approval), and an operate phase that watches landed plans against their declared checks.
2 skills · 3 commands · 2 agents
Trace, replay, and cost-attribute multi-agent runs: hook-driven JSONL AgentTrace, deterministic OrchestrationReplay, and per-subagent TokenLens — pure artifacts, with an optional read-only MCP dashboard server.
3 skills · 1 command · 1 MCP server · hooks
Interview-first greenfield project initializer: opens with 'what are you trying to build?', researches the context, then scaffolds a fully-governed repo (paved-road defaults), provisions the Apex-Dev-Skills suite (plus optional ruflo), and verifies it before the first commit. Generated projects are steered to build features via apex-plan/apex-loop. Supports TypeScript/JavaScript, Python, Go, and Rust.
3 skills · 1 command · 1 agent
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15 skills · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
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