Enforce Sentry Blog Writing Standards
Enforces Sentry's blog writing standards - specific, technically credible, non-generic - for engineering posts and product announcements.
Why it matters
Ensure all Sentry blog posts meet rigorous technical and editorial standards, adopting the voice of a knowledgeable senior developer to create credible, engaging content.
Outcomes
What it gets done
Edit and draft Sentry blog posts adhering to specific voice and style guidelines.
Structure content around reader problems and technical details, not just product features.
Incorporate technical credibility with data, code examples, and diagrams.
Avoid banned corporate jargon and filler phrases for direct, impactful communication.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-blog-writing-guide | bash Overview
Sentry Blog Writing Skill
Enforces Sentry's blog writing standards for voice, structure, and technical rigor - a banned-phrase list, problem/conclusion-first openings, information-dense headings, number-backed performance claims, working code, and diagrams for multi-component systems - across engineering deep-dives, product launches, postmortems, and tutorials. Use it whenever drafting or editing a Sentry blog post that needs to be opinionated, specific, and technically credible rather than generic marketing copy. The 'would a developer share this?' test gates whether content belongs on the blog or in the changelog.
What it does
This skill enforces Sentry's blog writing standards across every post, whether an engineer's first blog post or a marketer's product announcement. The bar: every post should be something a senior engineer would share in a team Slack or cite in a technical decision. It defines the Sentry voice (a senior developer at a conference afterparty explaining something they're genuinely excited about - specific, a little irreverent, deeply knowledgeable), a banned-phrase list ("we're excited to announce," "best-in-class," "seamless," "leverage," "robust," filler transitions like "that being said"), and structural rules for openings, headings, technical rigor, and titles.
When to use - and when NOT to
Use it whenever drafting or editing a Sentry blog post - technical storytelling, product announcements, or engineering deep-dives - and the goal is opinionated, specific, technically credible content rather than generic marketing copy. The skill's own "would I share this?" test is the gate: would a developer share this post, does it have a shot at Hacker News? If not, it needs more depth or original insight, or belongs in the changelog instead of the blog.
Inputs and outputs
The opening (first 2-3 sentences) must state the problem or the conclusion, never background or hype. Posts should structure around the reader's actual questions: what problem this solves, how it actually works (the bulk of the post, described technically not just "buttons you click"), what trade-offs or alternatives existed, and how to use it - engineering deep-dives also cover what was tried that didn't work and known limitations. Section headings must convey information ("Why time-series pre-aggregation destroys debugging context," not "Background"). Performance claims need numbers, not adjectives ("reduced p99 from 340ms to 45ms - a 7.5x improvement," not "significantly reduced"); any included code must actually work, with imports and context; systems with more than two interacting components need a labeled diagram; AI feature claims must be precise ("Seer suggests a likely root cause," not "Seer finds the root cause"). Titles must make a specific claim or promise a payoff, not announce vaguely. Closings link to something useful (docs, a way to try it, feedback) rather than generic hype or a recap. A post-type table maps five formats (Engineering Deep Dive, Product Launch, Postmortem, Data/Research, Tutorial/Guide) to who should be byline'd on each.
Integrations
A short non-negotiables list anchors the rules: no "The Sentry Team" bylines, no code that doesn't work, no "we're excited to announce," a diagram for any described system, a number for any performance claim, an explanation of what wasn't chosen and why for any decision, and a clear intended reader in mind before writing.
Who it's for
Engineers and marketers writing for Sentry's blog who need the house voice, structure, and rigor applied consistently, whether it's a first-time contributor's engineering deep-dive or a marketing-led product announcement.
Source README
Sentry Blog Writing Skill
This skill enforces Sentry's blog writing standards across every post - whether you're helping an engineer write their first blog post or a marketer draft a product announcement.
The bar: Every Sentry blog post should be something a senior engineer would share in their team's Slack, or reference in a technical decision.
What follows are the core principles to internalize and apply to every piece of content.
When to Use
- You need to draft or edit a Sentry blog post.
- The task involves technical storytelling, product announcements, or engineering deep-dives in Sentry's blog voice.
- You want blog content that is opinionated, specific, and technically credible rather than generic marketing copy.
The Sentry Voice
We sound like: A senior developer at a conference afterparty explaining something they're genuinely excited about - smart, specific, a little irreverent, deeply knowledgeable.
We don't sound like: A corporate blog, a press release, a sales deck, or an AI-generated summary.
Be technically precise, opinionated, and direct. Humor is welcome but should serve the content, not replace it. Sarcasm works. One good joke per post is plenty.
Use "we" (Sentry) and "you" (the reader). This is a conversation, not a paper.
Banned Language
Never use these. They are automatic red flags:
- "We're excited/thrilled to announce" - just announce it
- "Best-in-class" / "industry-leading" / "cutting-edge" - show, don't tell
- "Seamless" / "seamlessly" - nothing is seamless
- "Empower" / "leverage" / "unlock" - say what you actually mean
- "Robust" - describe what makes it robust instead
- "At [Company], we believe..." - just state the belief
- "Streamline" - everyone is streamlining, stop
- Filler transitions: "That being said," "It's worth noting that," "At the end of the day," "Without further ado," "As you might know"
- "In this blog post, we will explore..." - be direct, just start
The Opening (First 2-3 Sentences)
The opening must do one of two things: state the problem or state the conclusion. Never start with background, company history, or hype.
Good: "Two weeks before launch, we killed our entire metrics product. Here's why pre-aggregating time-series metrics breaks down for debugging, and how we rebuilt the system from scratch."
Bad: "At Sentry, we're always looking for ways to improve the developer experience. Today, we're thrilled to share some exciting updates to our metrics product that we think you'll love."
Structure: Follow the Reader's Questions
Structure every post around what the reader is actually wondering, not your internal narrative:
- What problem does this solve? (1-2 paragraphs max)
- How does it actually work? Not buttons-you-click, but underlying technology. (Bulk of the post - be specific)
- What were the trade-offs or alternatives? (This separates good from great)
- How do I use/try/implement this? (Concrete next steps)
For engineering deep-dives, also address:
5. What did we try that didn't work? (Builds trust)
6. What are the known limitations? (Shows intellectual honesty)
Section Headings Must Convey Information
Weak: "Background," "Architecture," "Results," "Conclusion"
Strong: "Why time-series pre-aggregation destroys debugging context," "The scatter-gather approach to distributed GROUP BY," "Where this breaks down: the cardinality wall"
Technical Quality Standards
Numbers over adjectives. If you make a performance claim, include the number.
- Bad: "This significantly reduced our error processing time."
- Good: "This reduced our p99 error processing time from 340ms to 45ms - a 7.5× improvement."
Code must work. If a post includes code, test it. Include imports, configuration, and context. Comments should explain why, not what.
Diagrams for systems. If you describe a system with more than two interacting components, include a diagram. Label with real service names, not generic boxes.
Honesty over hype. Never overstate what a feature does. Acknowledge limitations. If something is in beta, say so. If a competitor does something well, it's okay to note that. Do not claim AI features are more capable than they are - "Seer suggests a likely root cause" ≠ "Seer finds the root cause."
Title Guidelines
The title is the highest-leverage sentence in the post. It must stop a developer scrolling through their RSS feed or Twitter.
Strong titles make a specific claim, tell a story, or promise a specific payoff:
- "The metrics product we built worked. But we killed it and started over anyway"
- "How we reduced release delays by 5% by fixing Salt"
- "Your JavaScript bundle has 47% dead code. Here's how to find it."
Weak titles are vague announcements:
- "Introducing our new metrics product"
- "Performance improvements in Sentry"
- "AI-powered debugging with Seer"
The Closing
End with something useful - a link to docs, a way to try it, a call to give feedback. Never end with generic hype ("We can't wait to see what you build!") or recaps of what you just said.
Post Types
Here's the quick map by post type:
| Type | Goal | Byline |
|---|---|---|
| Engineering Deep Dive | Explain a technical system/decision so other engineers learn | The engineer(s) who built it. Always. |
| Product Launch | Explain what shipped, why it matters, how to use it | PM, engineer, or DevEx. Not PMM unless marketing built it. |
| Postmortem | Transparent failure analysis with timeline and fixes | Engineering leadership |
| Data / Research | Original insights from Sentry's unique data position | Data team, engineering, or research |
| Tutorial / Guide | Help a developer accomplish something specific | DevEx, engineer, or community contributor |
The "Would I Share This?" Test
Before publishing, ask: Would a developer share this post? Does it have a shot at getting on Hacker News? If the answer is no, the post either needs more depth, more original insight, or it belongs in the changelog instead.
Posts worth sharing contain at least one of:
- A technical decision explained with trade-offs
- Original data or research not found elsewhere
- A real-world debugging story with specific details
- An honest accounting of something that went wrong
- A how-to that saves the reader real time
Non-Negotiables (Quick Reference)
- Never publish without a real person's name on it. No "The Sentry Team" bylines.
- Never publish code that doesn't work.
- Never say "we're excited to announce." Just announce it.
- If you describe a system, include a diagram.
- If you make a performance claim, include the number.
- If you discuss a decision, explain what you didn't choose and why.
- Every post must have a clear "who is this for" in the author's mind before writing.
- Changelogs belong in the changelog. Blog posts should offer something more.
- When in doubt, go deeper. The risk of being too shallow is far greater than being too detailed.
- Write the post you wish existed when you were trying to solve this problem.
When Reviewing or Editing a Draft
Run through both checklists:
Technical Review:
- All technical claims accurate
- Code samples work
- Architecture descriptions match reality
- Numbers and benchmarks correct
- No oversimplifications that would make an expert cringe
Editorial Review:
- Opening hooks reader within 2 sentences
- Passes the "would I share this?" test
- No corporate language, filler, or fluff
- Headings convey information
- Right length (not padded, not too thin)
- Title is specific and compelling
Final Check:
- Author byline is correct (real person's name)
- Links to docs/getting-started included
- Post doesn't duplicate what's in the changelog
When providing feedback, be specific and constructive. Quote the weak passage, explain why it's weak, and rewrite it to show the standard.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
Common questions
Discussion
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