This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Classify a batch of emails into action categories (reply now, reply later, archive, delete, unsubscribe) and surface unsubscribe candidates. Use after a busy week, running inbox zero, or triaging email overload.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Classify a batch of email subjects + senders into action buckets and surface inbox-zero candidates.
email, inbox, inbox zero, triage, unsubscribe, mailing list, mailbox, gmail, outlook, productivity
Before triaging, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
subject,sender,snippet,received_atpython scripts/email_classifier.py inbox.csvassets/gmail_filter_template.md) so future similar emails route automaticallyTime Estimate: 30-45 minutes for a busy week.
Time Estimate: 15 minutes per pass.
references/inbox_zero_method.mdTime Estimate: 1-2 hours one-time; then 20 min/week to maintain.
Classifies email rows into action buckets using rule-based pattern matching on sender domain, subject line, and snippet.
python scripts/email_classifier.py inbox.csv
python scripts/email_classifier.py inbox.csv --json
Action buckets:
references/inbox_zero_method.md — Method, daily routine, common pitfallsassets/gmail_filter_template.md — Common Gmail filter recipes for the action buckets aboveまだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。