retrieval-policy

Agent retrieval policy for intelligent memory search. Use when implementing memory queries to detect capabilities, classify intent, route through optimal layers, and handle fallbacks. Provides tier detection, intent classification, fallback chains, and full explainability for all retrieval operations.

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Repository: SpillwaveSolutions/agent-memory
Last source activity: March 6, 2026 at 00:16
Detected SKILL.md language: English
Stars: 16
Forks: 3

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Follow https://skillsmp.com/skill-install/prompt.md to install only the Agent Skill at https://github.com/SpillwaveSolutions/agent-memory/tree/main/adapters/codex-cli/.codex/skills/retrieval-policy.

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name	retrieval-policy
description	Agent retrieval policy for intelligent memory search. Use when implementing memory queries to detect capabilities, classify intent, route through optimal layers, and handle fallbacks. Provides tier detection, intent classification, fallback chains, and full explainability for all retrieval operations.

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bm25-search

BM25 keyword search for agent-memory. Use when asked to "find exact terms", "keyword search", "search for specific function names", "locate exact phrase", or when semantic search returns too many results. Provides fast BM25 full-text search via Tantivy index.

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memory-query

Query past conversations from the agent-memory system. Use when asked to "recall what we discussed", "search conversation history", "find previous session", "what did we talk about last week", or "get context from earlier". Provides tier-aware retrieval with automatic fallback chains, intent-based routing, and full explainability. Includes command-equivalent instructions for search, recent, and context operations.

2026-03-06

topic-graph

Topic graph exploration for agent-memory. Use when asked to "explore topics", "show related concepts", "what themes have I discussed", "find topic connections", or "discover patterns in conversations". Provides semantic topic extraction with time-decayed importance scoring.

2026-03-06

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