---
id: "entity-microsoft-skills-agent"
type: "entity"
entityType: "product"
canonicalName: "Microsoft Skills Agent"
aliases: ["Microsoft People Skills", "Skills Agent"]
source_timestamps: ["§ Three Necessities", "¶13"]
tags: ["ai-tool", "capability-mapping"]
related: ["entity-linkedin-skills-graph", "framework-three-necessities", "action-shift-capability-evidence", "question-privacy-boundaries"]
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-112-continually-assessing-performance"
sourceUrl: "https://hbr.org/2026/06/the-pros-and-cons-of-continually-assessing-performance"
sourceTitle: "The Pros and Cons of Continually Assessing Performance"
---
# Microsoft Skills Agent

**Entity type:** product · **Role in source:** evidence for Necessity #1 (change what counts as evidence of capability).

A tool launched as part of Microsoft's **People Skills** system. It captures information across **emails, documents, meetings, chats, and collaboration patterns** to infer what employees are working on, what expertise they are applying, and how their capabilities are evolving. It marks a shift from *self-declared* skills to *continuously inferred* capabilities.

It is powered in part by the [[entity-linkedin-skills-graph]], and it is the flagship illustration of [[action-shift-capability-evidence]] within the [[framework-three-necessities]]. It also sits at the center of [[question-privacy-boundaries]]: scanning private communications to infer skill is treated as more acceptable than [[entity-meta-d112]]'s keystroke capture, though the article leaves the reason for that asymmetry unresolved.