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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. Use when you need help with blog writing guide.
Choose a 3D generation or reconstruction pipeline given input type, output format, and use case. Use when you need help with 3d pipeline.
|. Use when you need help with 8 bit orbit video template.
Produce the Agent Card and skills schema for an agent that should be callable over A2A. Use when you need help with a2a agent spec.
Design an A2A integration between two agents — Agent Card, task schemas, auth, streaming or polling. Use when you need help with a2a integrator.
Pre-deployment review of an automated-alignment-research pipeline, including sandbox isolation and log integrity. Use when you need help with aar deployment review.
Design an LLM A/B test — pick platform (Statsig or GrowthBook), primary metric, guardrails, sample size with LLM-noise buffer, CUPED, sequential stopping, and multiple-comparison correction. Use when you need help with ab plan.
| name | blog-writing-guide |
| description | 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. Use when you need help with blog writing guide. |
| license | CC-BY-NC-SA-4.0 |
| metadata | {"risk":"unknown","source":"community","date_added":"2026-03-06"} |
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.
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.
Never use these. They are automatic red flags:
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 every post around what the reader is actually wondering, not your internal narrative:
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)
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"
Numbers over adjectives. If you make a performance claim, include the number.
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."
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:
Weak titles are vague announcements:
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.
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 |
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:
Run through both checklists:
Technical Review:
Editorial Review:
Final Check:
When providing feedback, be specific and constructive. Quote the weak passage, explain why it's weak, and rewrite it to show the standard.
