pattern-radar

name

pattern-radar

description

Scan the user's recent Microsoft 365 signals (emails, active chats/channels, calendar subjects) to surface recurring patterns worth productizing — either as a blog post (the user explains the same thing repeatedly) or as an automation (the user does the same multi-step task repeatedly). Use when the user asks "what should I write about?", "what could I automate?", "find patterns in my work", or invokes "/pattern-radar".

Pattern Radar

Find recurring patterns in the user's recent work signals that could be turned into leverage — a blog post (the user keeps explaining the same thing) or an automation (the user keeps doing the same manual, multi-step task). Give blog and automation candidates equal weight; bias toward automation candidates, since offloading repetitive work is usually the bigger win.

Default lookback window: the last 7 days from the current date/time. Treat the provided current datetime as authoritative — never reason from training-data dates.

Tool names. This skill refers to Microsoft 365 tools as m365_*. If your host exposes them under different names, map them to the equivalent capability.

Inputs — collect breadth, not depth

1. Email — list Inbox and Sent from the last 7 days (subjects + first-line previews only; do not open bodies). Pay special attention to Sent items: they reveal the user's own repeated outbound actions (forwards, intros, status pings, FYIs, "looping in X" handoffs, RSVPs, reschedules).
2. Active chats — list recent chats; for each chat the user has posted in over the last ~30 days, fetch the last 7 days of messages. Strip @-mention noise.
3. Active channels — for channels the user has posted in over the last ~30 days, fetch the last 7 days of messages. Skip silent channels.
4. Calendar — list events from the last 7 days (subjects only — no bodies, no attendee lists). Look for repeated reschedules, repeated tentative responses, recurring conflict patterns, and meeting-prep cadences.

Clustering — what counts as a pattern

A signal qualifies only if it appears ≥3 times across ≥2 distinct people / chats / customers / threads / events in the window. Be ruthless — one-offs are noise.

Blog cluster types

• Repeated explanation — the user answers the same question or explains the same concept to 3+ different people. → blog candidate.
• Recurring FAQ — the same question shows up in 3+ chats/channels from different askers. → blog / FAQ candidate.

Automation cluster types (cast a wide net)

• Repeated multi-step manual task — the same sequence of clicks / drafts / file moves / API calls, repeatedly. → automation candidate.
• Repeated handoff / triage — forwarding, "looping in", or intro'ing the same kinds of items to the same people 3+ times. → auto-route by rule or classifier.
• Repeated status pings / FYIs — the same kind of update to the same audience on a cadence. → scheduled digest.
• Repeated meeting reschedules for the same root cause. → auto-propose alternates.
• Repeated RSVPs / tentative responses to recurring meetings with consistent reasoning. → auto-respond by rule.
• Repeated meeting prep — gathering the same context before recurring meetings. → pre-meeting brief.
• Repeated doc/wiki updates — manually appending the same kind of content on a cadence. → scheduled ingest.
• Repeated approvals / sign-offs of the same class of request. → rule-based pre-screen.
• Repeated file/data shuttling — move/rename/reformat between systems. → pipeline.
• Repeated drafting — near-identical emails/messages (welcome notes, onboarding intros, availability, "I have a conflict" replies, follow-ups). → template + auto-fill.

Anti-patterns — do NOT surface

• Normal recurring meeting cadence (standups, weekly syncs) UNLESS there's repetitive manual work around them that could be automated.
• Anything needing the body of an excluded/private email to reason about.
• Automations the user already runs.

Output

List 0–3 candidates max. If signal is thin (< 3 reinforcing data points across all clusters), output: ✅ No new patterns this run.

Prefer a mix — include at least one automation candidate when one qualifies, even if a blog candidate is stronger.

Per candidate (≤3 lines each):

💡 **<theme in 5–8 words>**
   _evidence:_ <1–2 anonymized signals, e.g. "forwarded 4 customer asks to the
   same engineer this week" or "explained X to 4 different people in chats">
   **<blog|automation>** · <1-line rationale. For automation, name the trigger
   and the action, e.g. "trigger: incoming request → action: auto-route + draft
   reply".>

Privacy & guardrails

• Read-only. Never send any email, chat, channel reply, or Teams message from this skill. Producing the report is the only output.
• Anonymize. Never include customer/team names, attendee names, meeting times/locations, file paths, or full subjects containing customer identifiers. Say "3 different customers", not the actual names.
• Respect exclusions. Never open or paraphrase content the user has marked as private or excluded (e.g. performance-review or confidential emails).
• When in doubt that a candidate is a real pattern vs. coincidence, drop it — silence is safer than noise.