Tier 1: Core

Query Memory

Generic retrieval skill for querying Neotoma memory. Supports identifier lookups, type-scoped searches, temporal queries, relationship traversal, and field provenance tracing.

Skill instructions

Retrieve what your agent knows about anything Generic retrieval skill for querying Neotoma memory. Supports identifier lookups, type-scoped searches, temporal queries, relationship traversal, and field provenance tracing.

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Install and runtime steps for Query Memory live in the file below. Agents should fetch the raw URL; humans can use GitHub browse. Follow prerequisites, MCP setup, and workflow there after neotoma setup when the skill is installed via the package.

Full skill on GitHub Raw markdown (full SKILL.md)

Repository path: skills/query-memory/SKILL.md
GitHub (browse): https://github.com/markmhendrickson/neotoma/blob/main/skills/query-memory/SKILL.md
Raw URL: https://raw.githubusercontent.com/markmhendrickson/neotoma/main/skills/query-memory/SKILL.md

Suggested prompt

Use skill prompt

Paste into your harness chat so the agent fetches the canonical markdown and follows it.

Use the Neotoma skill "Query Memory". Fetch and follow the instructions at:
https://raw.githubusercontent.com/markmhendrickson/neotoma/main/skills/query-memory/SKILL.md
Execute every prerequisite, MCP configuration step, and workflow phase described there for this environment.

Supported data sources

Neotoma memory

Workflow

1
Identify query type
Identifier lookup, type search, or temporal query
2
Retrieve entities
Use the appropriate Neotoma retrieval tool
3
Expand context
Follow relationships and provenance as needed
4
Present results
Format findings with source attribution

Related skills

Store Data Ensure Neotoma

Related use cases

Personal Data Crm Compliance

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