ads
無料Generates paid ad copy for Google, Meta, and LinkedIn. Produces platform-ready variants using a creative matrix approach with headlines, descriptions, and image briefs.
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。
Generates SEO and AEO optimized blog posts from source content. Supports feature announcements, product launches, thought leadership, cookbooks/tutorials, report conversions, and news analysis. Outputs complete posts with TLDR, FAQ, schema markup, and internal linking recommendations.
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。
This skill transforms source content into SEO and AEO optimized blog posts. It supports five blog types, each with its own structure, word count, and CTA pattern.
Before generating any content, ask the user:
What type of blog post do you need?
| Type | Best For | Target Length |
|---|---|---|
| Feature announcement | Release notes, changelog, new capability | 800 to 1,200 words |
| Product launch | New product, major release, rebrand | 1,200 to 1,800 words |
| Thought leadership | Opinion piece, industry POV, contrarian take | 1,500 to 2,500 words |
| Cookbook/tutorial | How-to guide, integration walkthrough, code example | 1,500 to 3,000 words |
| Report conversion | Whitepaper, case study, research report → blog | 1,000 to 1,500 words |
| News analysis | Breaking news, vulnerability disclosure, industry incident → expert take | 1,000 to 1,800 words |
Wait for the user to select before proceeding.
Before gathering inputs, confirm the source content meets the Authority Content bar. Authority Content is what earns distribution on X, rankings on Google via LinkedIn Pulse, and citations from LLMs.
Authority Content must include at least one of:
It must not be:
If the source content doesn't meet this bar, flag it: "This content reads as [generic/listicle/summary]. Authority Content needs a stronger point of view to earn algorithmic distribution and LLM citations. Can you share the original data, frameworks, or contrarian angle behind this?"
Read from repo automatically:
| File | What to extract |
|---|---|
docs/inputs/product_brief.md | Product name, capabilities, limitations (for accuracy) |
docs/inputs/messaging_positioning.md | Positioning, value props, pain points |
docs/inputs/target_personas.md | Audience context, technical level, job titles |
Read these files BEFORE asking for additional inputs.
Then ask the user:
Source content — Provide the source material:
Target keyword — (Optional) What keyword should this post target? If not provided, suggest one based on the content.
Internal link domain — What domain should I pull internal links from? (e.g., beyondidentity.com/blog or docs.example.com)
Disclosure needed? — Does this post require a disclosure statement? (e.g., "Full disclosure: I work at [Company]")
Distribution surfaces — Which surfaces are you publishing to?
If tri-publish or platform variants selected, generate platform-specific versions in Step 4.
Wait for answers before proceeding.
Based on the blog type, perform targeted research:
For all types:
For news analysis:
For thought leadership:
For cookbooks/tutorials:
For report conversions:
Generate the complete blog post following the type-specific structure below.
# [Feature Name]: [Benefit Statement]
**TLDR:** [2 to 3 sentences summarizing the feature and why it matters]
## The Problem
[What pain point does this feature solve? Who feels it?]
## Introducing [Feature Name]
[What the feature does. Be specific. Show, don't tell.]
[VISUAL: Screenshot or diagram of the feature in action]
## How It Works
[Technical explanation. Include code snippet if applicable.]
```[language]
// Example code with comments explaining each step
Each use case must highlight a DIFFERENT capability or behavior of the feature. If two use cases make the same point (e.g., "ephemeral credentials" applied to two different contexts), merge them into one or replace the duplicate with a use case that shows a distinct aspect of the feature.
[Specific scenario where this feature helps. Emphasize the distinct capability exercised here.]
[A different scenario that exercises a different aspect of the feature than Use Case 1.]
[VISUAL: Architecture diagram or workflow showing the feature in context]
[How to enable/access the feature. Link to docs.]
[Direct answer first. Then elaborate.]
[Answer]
[Answer]
[CTA: Try it now / Read the docs / See it in action]
**CTA pattern:** Direct to docs or product, action-oriented
---
### Product Launch (1,200 to 1,800 words)
```markdown
# [Product Name]: [Positioning Statement]
**TLDR:** [3 to 4 sentences covering what it is, who it's for, and the key differentiator]
## The Shift
[What changed in the market to make this product necessary? The provocative insight.]
## What [Old Approach] Gets Wrong
[Why the status quo no longer works. Be specific about the failure mode.]
[VISUAL: Comparison table or diagram showing old vs new approach]
## Introducing [Product Name]
[Product description. What it is, what it does, where it fits.]
[VISUAL: Product screenshot or marketecture diagram]
## Key Capabilities
### [Capability 1]
[What it does and why it matters. Map to a specific pain point.]
### [Capability 2]
[Same structure]
### [Capability 3]
[Same structure]
## Proof
[Customer results or early adopter feedback. Use only approved testimonials.]
> "[Quote from customer]" — [Name], [Title] at [Company]
[VISUAL: Results chart or customer logo grid]
## Getting Started
[How to try it. Pricing context if relevant. Link to demo or signup.]
## FAQ
### [Question about pricing/availability]
[Answer]
### [Question about migration/compatibility]
[Answer]
### [Question about security/compliance]
[Answer]
### [Question about support/SLA]
[Answer]
---
**[CTA: Request a demo / Start free trial / Talk to sales]**
CTA pattern: Lead generation focused, offer next step in buyer journey
# [Provocative Thesis Statement]
**TLDR:** [3 to 4 sentences stating the argument and its implications]
## The Conventional Wisdom
[What most people believe. Steel-man the opposing view.]
## Why That's Wrong
[Your contrarian take. Be specific about what the conventional wisdom misses.]
[VISUAL: Data chart or framework diagram supporting your argument]
## The Evidence
### [Evidence Point 1]
[Specific data, example, or case study. Cite source with hyperlink.]
### [Evidence Point 2]
[Same structure]
### [Evidence Point 3]
[Same structure]
## The Counterargument
[Acknowledge the strongest objection to your thesis. Address it directly.]
## What This Means
[Implications for the reader. What should they do differently?]
### For [Role 1]
[Specific implications]
### For [Role 2]
[Specific implications]
## The Path Forward
[Actionable recommendations. Be specific.]
[VISUAL: Maturity model, decision framework, or action checklist]
## FAQ
### [Question challenging the thesis]
[Defend with evidence]
### [Question about applicability]
[Scope the argument appropriately]
### [Question about next steps]
[Provide actionable guidance]
---
**[CTA: Related resource / Subscribe for more / Join the discussion]**
CTA pattern: Soft CTA, build relationship, encourage engagement
# How to [Achieve Specific Outcome] with [Tool/Product]
**TLDR:** [What you'll build/achieve and the key steps involved]
## What You'll Learn
- [Outcome 1]
- [Outcome 2]
- [Outcome 3]
## Prerequisites
- [Requirement 1 with version number if applicable]
- [Requirement 2]
- [Access/permissions needed]
## Step 1: [Action Verb] [Object]
[Explanation of what this step accomplishes]
```[language]
// Step 1: [Description]
// This code does [explanation]
[code]
[VISUAL: Screenshot showing expected result after this step]
[Explanation]
// Step 2: [Description]
// Note: [Important caveat or tip]
[code]
[Continue pattern for all steps]
[How to verify it works. Include test commands or expected output.]
// Verify the setup
[test code]
Expected output:
[expected output]
Symptom: [What the user sees] Cause: [Why it happens] Fix: [How to resolve]
[Same structure]
[Answer]
[Answer]
[Answer]
[CTA: Try the advanced tutorial / Explore more integrations / Join the community]
**CTA pattern:** Continue the learning journey, link to related content
---
### News Analysis (1,000 to 1,800 words)
This blog type amplifies breaking security research, vulnerability disclosures, or industry incidents. You are the analyst, not the researcher. Your value-add is the technical breakdown, the pattern recognition across incidents, and the actionable guidance. Credit the original source prominently.
```markdown
# [Named Technique or Finding]: [What It Means for Your Audience]
**TLDR:** [2 to 3 sentences: what was discovered, by whom, and why your audience should care]
## The Discovery
[What was found and who found it. Credit the original researcher or team by name with a link to the primary source. Summarize the disclosure factually. Include dates, affected systems, and scope.]
> "[Key quote from the original researcher or advisory]" — [Source](URL)
## How It Works
[Technical breakdown of the attack, vulnerability, or finding. Explain the mechanism step by step as if the reader needs to assess whether they are affected. Use diagrams, code snippets, or configuration examples where they clarify the explanation. You are translating the research for practitioners, not restating the headline.]
```[language]
// Example showing the vulnerable pattern or attack mechanism
[code or config]
[VISUAL: Attack flow diagram or architecture showing the affected components]
[Specific systems, configurations, or deployment patterns that are vulnerable. Help the reader assess their own exposure. Be precise: name the frameworks, versions, cloud services, or architecture patterns.]
| Affected | Not Affected |
|---|---|
| [Specific system/config] | [Specific system/config] |
| [Specific system/config] | [Specific system/config] |
[Connect this finding to 2 to 3 prior incidents, disclosures, or trends. This section is your original analytical contribution. Show the reader this is not a one-off but part of a structural problem in how the industry builds or deploys.]
| Date | Finding | Researcher/Source | Impact |
|---|---|---|---|
| [Date] | [Prior finding 1] | [Who] | [What happened] |
| [Date] | [Prior finding 2] | [Who] | [What happened] |
| [Date] | [Current finding] | [Who] | [What happened] |
[Actionable remediation guidance. Be specific: configurations to change, tools to deploy, policies to implement. If your product addresses this problem, include it as one recommendation among several. Do not make the section a product pitch.]
[Direct answer first. Then context.]
[Help them assess with specific indicators.]
[Actionable steps.]
[CTA: Subscribe for future analysis / Related technical resource / Product capability if directly relevant]
**CTA pattern:** Newsletter or content subscription first. Product tie-in only when the finding maps directly to a capability. The reader came for the analysis, not a demo.
**Authority Content note:** News analysis meets the Authority Content bar when it adds context the original disclosure does not provide: a pattern across findings, a technical breakdown for a different audience than the original, or specific remediation guidance. Restating the news with a product pitch appended does not meet the bar.
---
### Report/Case Study Conversion (1,000 to 1,500 words)
```markdown
# [Key Finding]: [What We Learned from [Report/Study Name]]
**TLDR:** [The headline finding and its significance in 2 to 3 sentences]
## The Big Picture
[Context for the report. Why was this research conducted? What question did it answer?]
## Key Finding #1: [Finding Statement]
[Evidence from the report. Include specific numbers.]
[VISUAL: Chart or data visualization from the report]
> "[Compelling quote from the report]"
## Key Finding #2: [Finding Statement]
[Same structure]
## Key Finding #3: [Finding Statement]
[Same structure]
## What This Means for [Audience]
[Practical implications. What should readers do with this information?]
### Immediate Actions
- [Action 1]
- [Action 2]
### Strategic Considerations
- [Consideration 1]
- [Consideration 2]
## Methodology Note
[Brief description of how the research was conducted. Builds credibility.]
## FAQ
### [Question about methodology]
[Answer]
### [Question about applicability]
[Answer]
### [Question about accessing full report]
[Answer]
---
**[CTA: Download the full report / See how [Product] addresses these findings]**
CTA pattern: Gate the full content, offer product connection
If the user selected LinkedIn Pulse or X article variants, generate these after the main blog post.
LinkedIn Pulse articles are indexed by Google (DR 98) and cited by LLMs at 4 to 5x the rate of a year ago. Optimize for search and LLM extractability.
Differences from website version:
**LinkedIn SEO title:** field (can differ from H1, max 100 chars, front-load keyword)**LinkedIn meta description:** field (under 160 chars, keyword-rich)**LinkedIn CTA:** at the end — drive comments, not clicks. Example: "What's your experience with [topic]? Drop it in the comments."**Author bio line:** at the end: [Name], [Title] at [Company]. Verifiable professional identity improves LLM trust signals.LLM citation optimization for LinkedIn Pulse:
Output format:
## LinkedIn Pulse Variant
**LinkedIn SEO title:** [keyword-front-loaded title, max 100 chars]
**LinkedIn meta description:** [under 160 chars, keyword-rich]
[Full article content — same body as website version, with LinkedIn CTA substituted]
**LinkedIn CTA:** [Comment-driving question or prompt]
**Author bio line:** [Name], [Title] at [Company]
X articles benefit from the algorithmic For You feed — 30 to 40% of views come from non-followers. Virality depends on strong engagement in the first 30 to 60 minutes.
Differences from website version:
**Quote repost prompt:** at the end — a 1-sentence take that's controversial or insight-dense enough to make someone want to add their own perspectiveOutput format:
## X Article Variant
[Full article content — same body with sharpened opening hook and more opinionated framing]
**Quote repost prompt:** [1-sentence take designed to provoke substantive reaction — not rage bait, but a real point of view people will want to respond to]
Apply these to every blog post:
| Blog Type | Recommended Schema |
|---|---|
| Feature announcement | Article + FAQPage |
| Product launch | Article + FAQPage + Product |
| Thought leadership | Article + FAQPage |
| Cookbook/tutorial | HowTo + FAQPage |
| News analysis | Article + FAQPage |
| Report conversion | Article + FAQPage |
Output schema suggestion at the end of the post:
**Schema markup:** [Type] schema recommended. Key properties: [list]
[anchor text](URL) with natural anchor textOutput internal linking recommendations:
**Internal links to add:**
- Link to [page title](URL) in the [section name] section
- Link to [page title](URL) when mentioning [topic]
When publishing to LinkedIn Pulse, apply these in the publishing settings:
Flag visual opportunities with this format:
[VISUAL: Brief description of what's needed]
Examples:
[VISUAL: Screenshot of the dashboard with the new feature highlighted][VISUAL: Architecture diagram showing data flow between components][VISUAL: Comparison table of old approach vs new approach][VISUAL: Code editor showing the completed implementation]Never use: delve, landscape, robust, pivotal, seamless, leverage, transformative, game-changer, revolutionary, cutting-edge, integral, nuanced, foster, glean, underscore, propel, unparalleled, vast, plethora
product_brief.md exactlyOutput the complete blog post with this wrapper:
# [Blog Title]
**Target keyword:** [keyword]
**Metadescription:** [under 160 chars]
**Word count:** [X words]
**Blog type:** [type]
---
[Full blog post content]
---
## Post-Publication Checklist
**Schema markup:** [Recommendation]
**Internal links to add:**
- [Link recommendations]
**Visuals needed:**
- [List of VISUAL callouts from the post]
**Social promotion:** Would you like to generate social posts for this blog? I can hand off to the `/social-posts` skill.
**Tri-publish checklist:**
- [ ] LinkedIn Pulse variant generated (if selected)
- [ ] X article variant generated (if selected)
- [ ] LinkedIn SEO title and meta description set
- [ ] Quote repost prompt written for X
- [ ] Author bio line added to LinkedIn version
Before delivering, verify the post passes:
After the blog is complete, ask:
"Would you like to generate social posts to promote this content? I can hand off to the
/social-postsskill."
If yes, provide context to the social-posts skill:
If the user selected tri-publish, also confirm:
"Here's your publishing checklist:
- Website: Publish the main blog post with schema markup and internal links
- LinkedIn Pulse: Use the LinkedIn variant. In LinkedIn's article settings, paste the LinkedIn SEO title and meta description. After publishing, leave a comment to seed conversation.
- X: Publish the X article variant. After publishing, share the quote repost prompt as a reply or separate post to seed engagement in the first 30 to 60 minutes."
When source content is thin:
When product_brief.md is empty:
When internal link domain returns no results:
When target keyword is not provided:
When disclosure is needed:
When word count needs adjustment:
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
Generates paid ad copy for Google, Meta, and LinkedIn. Produces platform-ready variants using a creative matrix approach with headlines, descriptions, and image briefs.
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。
Use when you want paid ad copy for Google, Meta, or LinkedIn, including headlines, descriptions, and image briefs.
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。
Use when you want campaign performance reviewed against benchmarks, with a health score and prioritized optimization recommendations.
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。
Use when you want a strict review of a marketing asset against style rules, factual accuracy, and messaging alignment.
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。
Skill Optimization: Auto Research. Autonomously optimize any Claude Code skill by running it repeatedly, scoring outputs against binary evals, mutating the prompt, and keeping improvements. Based on Karpathy's autoresearch methodology. Use when: optimize this skill, improve this skill, run autoresearch on, make this skill better, self-improve skill, benchmark skill, eval my skill, run evals on. Outputs: an improved SKILL.md, a results log, and a changelog of every mutation tried.
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。
Use when you want to benchmark and improve an existing repo skill through repeated evals, prompt mutations, and score tracking.
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。