How Palantir’s New Skills Turn Enterprise AI into a Reusable Analysis Engine

AIP Analyst is Palantir’s natural‑language analysis interface built on Ontology. When a user asks a question, the Agent can search object types, construct object sets, run aggregations and Ontology SQL, and produce summaries, charts or maps. The August 18 update adds time‑series analysis and Ontology interface support.

Skills are defined as reusable commands that encapsulate stable analysis procedures. Users can manage Skills in the AIP Analyst Settings, and the Agent automatically loads a Skill when it matches the current question. Skills can be created or updated from an ongoing analysis and exported as AIP Skills, making the underlying method callable in future sessions rather than storing a one‑off result.

Analysis Lookup lets the Agent load a recent or bookmarked historical analysis by its RID. The loaded analysis serves only as a template; its live results are not reused. When the current task requires the same tools, they are re‑executed on up‑to‑date data, ensuring that only the method and workflow are reused, not stale values.

This mechanism adds a second layer to Agent Memory: “method memory” in addition to the traditional “knowledge memory” that stores past text or documents. The article calls this distinction “knowledge memory vs. method memory” to clarify that Skills and Analysis Lookup enable agents to remember *how* to analyze, not just *what* was said.

The tight coupling with Ontology is essential because Ontology provides a unified business representation of data, logic, actions and security. By operating on this representation, AIP Analyst can locate objects, execute queries, perform aggregations, and invoke tools consistently across the enterprise.

Overall, the update does not replace semantic search or vector‑based retrieval; instead, it augments AIP Analyst with a reusable‑method layer, allowing enterprise AI to accumulate and reapply proven analysis patterns while remaining governed by Ontology‑driven authorization and traceability.