blog-writer▌
lightfastai/lightfast · updated Apr 8, 2026
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Create clear, accurate blog posts that help developers understand Lightfast capabilities and industry trends.
Blog Writer
Create clear, accurate blog posts that help developers understand Lightfast capabilities and industry trends.
Critical: Accuracy Over Marketing
Before writing anything:
-
Verify every claim:
- If you cite a number, confirm the source
- If you mention a feature, confirm it exists in production
- When uncertain, ask for clarification
-
Never oversell:
- Disclose limitations: "Currently supports X; Y coming in vZ"
- Be honest about beta status and rollout timelines
-
Match category voice:
- Engineering: Technical authority, data-driven
- Company: Visionary, category-defining
- Product: Problem-solver, benefit-oriented
- Tutorial: Step-by-step, practical
- Research: Data-driven, methodology-first
Writing Guidelines
- Concise & scannable: Match category word counts
- Lead with value: Start with what readers gain
- Be transparent: Mention beta status, limitations
- Active voice: "You can now..." not "Users are able to..."
- No emoji: Professional tone
- Include TL;DR: 20-300 chars for AI citation (in frontmatter
tldrfield) - FAQ section: 3-5 questions matching search queries (in frontmatter
faq[]) - Code examples: Required for Engineering posts
Workflow
- Detect category from input or ask if unclear
- Load category style from
resources/categories/{category}.md - Research topic using web-search-researcher agent
- Draft following category template and templates
- Add AEO elements per aeo-requirements
- Review with checklist
Quick Reference
Category Selection
| Category | Use When | Audience |
|---|---|---|
| Engineering | Technical deep-dives, architecture, research | Developers, engineers |
| Company | Funding, partnerships, events, hiring | Executives, investors |
| Product | Feature launches, updates, tutorials | Customers, prospects |
| Tutorial | Step-by-step how-tos, guides | Developers learning |
| Research | Data analysis, findings, benchmarks | Engineering leaders |
Do
- Include code examples (Engineering/Tutorial)
- Use "shift from/to" narratives (Company)
- Lead with pain point (Product)
- Link to 3-5 related docs
Don't
- Marketing buzzwords without substance
- Claims without verification
- Long paragraphs (keep sections scannable)
- Generic corporate speak
Output
Save drafts to: thoughts/blog/{YYYY-MM-DD-slug}.md
Required Frontmatter Fields
Every draft MUST include (maps to BlogPostSchema in apps/www/src/lib/content-schemas.ts):
title(core)description(150-160 chars — this is the meta description)keywords[](min 3 — first entry is primary keyword)ogTitle,ogDescription,ogImage(social/OG)authors[](structured array with name, url, twitterHandle)publishedAt,updatedAt(ISO datetimes)category(engineering | product | company | tutorial | research)readingTimeMinutes(integer)featured(boolean)tldr(20-300 chars)faq[](min 1 entry)_draft: true(traceability)
See resources/templates.md for complete frontmatter template.
Resources
How to use blog-writer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add blog-writer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches blog-writer from GitHub repository lightfastai/lightfast and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate blog-writer. Access the skill through slash commands (e.g., /blog-writer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★25 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
Solid pick for teams standardizing on skills: blog-writer is focused, and the summary matches what you get after install.
- ★★★★★William Haddad· Dec 16, 2024
blog-writer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Kwame Garcia· Dec 12, 2024
Keeps context tight: blog-writer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Rahul Santra· Nov 23, 2024
I recommend blog-writer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Piyush G· Nov 15, 2024
We added blog-writer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Xiao Smith· Nov 7, 2024
blog-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Kwame Johnson· Nov 3, 2024
Registry listing for blog-writer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mateo Haddad· Oct 26, 2024
Registry listing for blog-writer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Henry Malhotra· Oct 22, 2024
blog-writer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Pratham Ware· Oct 14, 2024
Useful defaults in blog-writer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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