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。
Validate a monthly investor update against a rubric of strong-update sections (transparency, decision-relevance, specific asks). Use before sending a monthly investor update or setting a fundraise communication cadence.
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。
Validate a draft monthly investor update against a rubric of what makes them work — and provide a starting template if you don't have one yet.
investor update, monthly update, founder update, investor communication, fundraise, lead investor, board, KPIs, asks
Before generating the update, 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.
update.mdpython scripts/investor_update_validator.py update.mdOR start from scratch with assets/investor_update_template.md.
assets/investor_update_template.mdpython scripts/investor_update_validator.py update.mdTime Estimate: 1-2 hours/month.
references/what_makes_good_updates.mdTime Estimate: 1 week to set up; recurring monthly thereafter.
Scans an update markdown file for the structural sections of a strong update and scores it.
python scripts/investor_update_validator.py update.md
python scripts/investor_update_validator.py update.md --json
references/what_makes_good_updates.md — What separates good investor updates from badassets/investor_update_template.md — Monthly update template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 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。
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。
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。