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pattern-radar

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".

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リポジトリ
microsoft/cat-agent-skills
ソースの最終更新活動
2026年7月31日 13:06
検出された SKILL.md の言語
英語
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84
フォーク
106

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SKILL.md
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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.
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