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newsletter-technical

Write insight-driven technical newsletters: tutorials, analysis, industry breakdowns, how-tos, and data-led explainers. Use when the newsletter's value is the information rather than the narrative. Enforces the EW anti-AI rules, specificity standards, and the writer's voice profi

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Price unconfirmed★ 28 GitHub starsRegistry updated · Sep 1, 2026agent-skill

Overview

Write insight-driven technical newsletters: tutorials, analysis, industry breakdowns, how-tos, and data-led explainers. Use when the newsletter's value is the information rather than the narrative. Enforces the EW anti-AI rules, specificity standards, and the writer's voice profile.

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EW Skill — Technical Newsletter

Dependency chain. Read these in order before writing anything:

  1. core/anti-ai-rules.md (read fully; Section 0 sets the standard, 0.1 sets precedence, 0.2 forbids fabrication, 9 and 10 stop over-correction)
  2. core/ai_slop_commandments.md (mechanism reference and diagnostic checklist)
  3. core/voice-profile.md (this writer's voice fingerprint; if Completed: No, stop and run onboarding)
  4. Any .md files the user has dropped in references/

This chain applies on direct invocation (/ew:newsletter-technical) exactly as it does on dispatch through /ew. Direct invocation skips routing, not constraints.

WHAT THIS SKILL IS FOR

Insight-driven newsletters. Industry analysis, tutorials, how-tos, tool breakdowns, and data-led explainers. The technical newsletter's job is to make the reader measurably smarter — fast. No fluff. No filler. No padding a thin insight to hit a word count.

The A-Player standard applies here too. Clarity is not an absence of depth — it's the hardest discipline in writing. The goal is to make a complex thing simple without making it wrong.

THE STRUCTURAL CONTRACT

Technical newsletters have a different contract from creative ones. The reader is not here for a journey — they're here to extract value efficiently. Every structural decision must serve that extraction.

The 4-part technical structure:

1. The Problem (Why This Matters) State the specific problem, gap, or question this issue addresses. Not "AI is changing things" — "Most teams are using GPT for copywriting but missing the three use cases with 10x better ROI." Specificity earns attention. The reader must know within 2 sentences whether this issue is for them.

2. The Key Insight (What You Found) The single most important thing this issue delivers. State it early — within the first third. Technical readers are busy. If they have to hunt for the point, they'll stop looking. This is not a tease; it's the thesis. Everything else is support.

3. The Evidence and Mechanics (How It Works) Walk through the specifics. Data, examples, step-by-step logic, code, comparisons. This is where depth lives. Each point must connect to the key insight — if it doesn't, it doesn't belong here. No tangents dressed as depth.

4. The Action (What To Do With It) What specifically should the reader do next? Not "consider trying this" — the exact action, tool, query, decision, or change. If there's no action, state why not and what to watch instead. Never end on a passive observation.

CLARITY RULES

Specificity is proof. Every claim must be grounded in a specific fact, number, example, or source. "This framework is faster" means nothing. "This framework cuts cold-start time from 8 seconds to 340ms" means something. If you can't make it specific, you haven't done enough research to write the piece yet.

One concept at a time. Each section covers one thing completely before moving to the next. If you're explaining how a system works while simultaneously arguing why it matters, you're doing two things at once and doing both worse. Separate them.

Name the expert. Link the study. "Experts suggest" is not a source. "According to Ethan Mollick's research on AI adoption in knowledge work" is a source. If you can't name it, you don't have it — you have an impression of something you half-remember. Check before you publish.

Active constructions only. Passive voice in technical writing hides the mechanism. "The data is processed" by what? How? "The model processes each token sequentially against the full context window" is the sentence.

STRUCTURE AND SCANNABILITY

Technical newsletter readers scan before they read. Structure must support scanning without gutting depth.

Headers are signposts, not titles. A header like "Why This Matters" is useless. "Why Teams Underestimate Context Window Size" is a signpost. If the reader can scan your headers and understand the full argument, your structure is working. If the headers could belong to any newsletter on the topic, rewrite them.

Lead with the finding, not the methodology. ❌ "To understand why this works, we first need to look at how X operates under Y conditions, which was first described by..." ✅ "The reason X outperforms Y in low-latency scenarios comes down to how it handles memory allocation. Here's the mechanism:"

Lists only for genuinely parallel items. A list of 7 things that aren't truly parallel is not a list — it's a paragraph avoiding its own logic. Lists are for steps, options, or items where order and parallelism are real. If your bullets keep needing sub-explanations, collapse them into prose.

Code and data get their own block. Never bury a command, query, or formula in running prose. If someone needs to use it, they need to be able to copy it cleanly.

THE INSIGHT STANDARD

The difference between a good technical newsletter and a great one is whether the writer had an insight or just had information. Information is cheap — the reader can find it. Insight is the writer's interpretation, synthesis, or prediction layered on top.

Ask yourself before writing:

  • What does this data actually mean for how someone does their job?
  • What would a smart person get wrong about this topic, and why?
  • What's the non-obvious implication of this development?
  • What does this tell us about where things are going in 6–18 months?

If you can't answer at least one of those, you have a summary, not a newsletter.

The "so what" test: After every major claim, ask: "so what?" If the answer is obvious or trivial, the claim isn't doing enough work. If the answer is non-obvious and specific to your reader's situation, you have something worth sending.

CREDIBILITY SIGNALS

Technical readers are skeptical by default. Your credibility is built or destroyed faster than in any other format.

What builds credibility:

  • Specific numbers with sources named
  • Honest acknowledgment of limitations ("This only applies when X condition holds")
  • Your actual experience or test results, stated plainly
  • Counterarguments acknowledged and addressed

What destroys credibility:

  • Vague attributions ("studies show," "experts agree")
  • Overclaiming ("this will transform your entire workflow")
  • Getting a technical detail wrong anywhere in the piece — if one thing is wrong, readers question everything
  • Hedging everything to the point of saying nothing

POST-GENERATION REVIEW

After producing any draft, stop. Re-read core/anti-ai-rules.md Sections 1–7 with the draft in front of you. Go line by line through the pre-publish checklist in Section 7. Fix every failure before presenting the output.

Do not present a draft and note that it "may have some areas to refine." Fix them. The writer should receive a draft that has already cleared the checklist, not one that needs the checklist run on it by the writer.

PRE-SEND CHECKLIST

  • Is the key insight stated in the first third of the issue?
  • Does every claim have a specific fact, number, or named source?
  • Does every section connect back to the key insight?
  • Are headers scannable — do they tell the argument, not just the topic?
  • Is there a specific action the reader can take?
  • Have you run Sections 1–7 of core/anti-ai-rules.md?
  • Have you answered "so what?" for every major claim?
  • Is passive voice eliminated from technical descriptions?
  • Are lists only used for genuinely parallel items?
  • Would a busy expert stop and read this, or skip it?
View source ↗
File metadata
name: newsletter-technical
description: |
  Write insight-driven technical newsletters: tutorials, analysis, industry breakdowns, how-tos,
  and data-led explainers. Use when the newsletter's value is the information rather than the
  narrative. Enforces the EW anti-AI rules, specificity standards, and the writer's voice profile.
license: MIT
metadata:
  version: "0.3.0"
View original text
---
name: newsletter-technical
description: |
  Write insight-driven technical newsletters: tutorials, analysis, industry breakdowns, how-tos,
  and data-led explainers. Use when the newsletter's value is the information rather than the
  narrative. Enforces the EW anti-AI rules, specificity standards, and the writer's voice profile.
license: MIT
metadata:
  version: "0.3.0"
---

# EW Skill — Technical Newsletter

**Dependency chain. Read these in order before writing anything:**

1. `core/anti-ai-rules.md` (read fully; Section 0 sets the standard, 0.1 sets precedence, 0.2 forbids fabrication, 9 and 10 stop over-correction)
2. `core/ai_slop_commandments.md` (mechanism reference and diagnostic checklist)
3. `core/voice-profile.md` (this writer's voice fingerprint; if `Completed: No`, stop and run onboarding)
4. Any `.md` files the user has dropped in `references/`

This chain applies on direct invocation (`/ew:newsletter-technical`) exactly as it does on dispatch through `/ew`. Direct invocation skips routing, not constraints.

---

## WHAT THIS SKILL IS FOR

Insight-driven newsletters. Industry analysis, tutorials, how-tos, tool breakdowns, and data-led explainers. The technical newsletter's job is to make the reader measurably smarter — fast. No fluff. No filler. No padding a thin insight to hit a word count.

The A-Player standard applies here too. Clarity is not an absence of depth — it's the hardest discipline in writing. The goal is to make a complex thing simple without making it wrong.

---

## THE STRUCTURAL CONTRACT

Technical newsletters have a different contract from creative ones. The reader is not here for a journey — they're here to extract value efficiently. Every structural decision must serve that extraction.

**The 4-part technical structure:**

**1. The Problem (Why This Matters)**
State the specific problem, gap, or question this issue addresses. Not "AI is changing things" — "Most teams are using GPT for copywriting but missing the three use cases with 10x better ROI." Specificity earns attention. The reader must know within 2 sentences whether this issue is for them.

**2. The Key Insight (What You Found)**
The single most important thing this issue delivers. State it early — within the first third. Technical readers are busy. If they have to hunt for the point, they'll stop looking. This is not a tease; it's the thesis. Everything else is support.

**3. The Evidence and Mechanics (How It Works)**
Walk through the specifics. Data, examples, step-by-step logic, code, comparisons. This is where depth lives. Each point must connect to the key insight — if it doesn't, it doesn't belong here. No tangents dressed as depth.

**4. The Action (What To Do With It)**
What specifically should the reader do next? Not "consider trying this" — the exact action, tool, query, decision, or change. If there's no action, state why not and what to watch instead. Never end on a passive observation.

---

## CLARITY RULES

**Specificity is proof.**
Every claim must be grounded in a specific fact, number, example, or source. "This framework is faster" means nothing. "This framework cuts cold-start time from 8 seconds to 340ms" means something. If you can't make it specific, you haven't done enough research to write the piece yet.

**One concept at a time.**
Each section covers one thing completely before moving to the next. If you're explaining how a system works while simultaneously arguing why it matters, you're doing two things at once and doing both worse. Separate them.

**Name the expert. Link the study.**
"Experts suggest" is not a source. "According to Ethan Mollick's research on AI adoption in knowledge work" is a source. If you can't name it, you don't have it — you have an impression of something you half-remember. Check before you publish.

**Active constructions only.**
Passive voice in technical writing hides the mechanism. "The data is processed" by what? How? "The model processes each token sequentially against the full context window" is the sentence.

---

## STRUCTURE AND SCANNABILITY

Technical newsletter readers scan before they read. Structure must support scanning without gutting depth.

**Headers are signposts, not titles.**
A header like "Why This Matters" is useless. "Why Teams Underestimate Context Window Size" is a signpost. If the reader can scan your headers and understand the full argument, your structure is working. If the headers could belong to any newsletter on the topic, rewrite them.

**Lead with the finding, not the methodology.**
❌ "To understand why this works, we first need to look at how X operates under Y conditions, which was first described by..."
✅ "The reason X outperforms Y in low-latency scenarios comes down to how it handles memory allocation. Here's the mechanism:"

**Lists only for genuinely parallel items.**
A list of 7 things that aren't truly parallel is not a list — it's a paragraph avoiding its own logic. Lists are for steps, options, or items where order and parallelism are real. If your bullets keep needing sub-explanations, collapse them into prose.

**Code and data get their own block.**
Never bury a command, query, or formula in running prose. If someone needs to use it, they need to be able to copy it cleanly.

---

## THE INSIGHT STANDARD

The difference between a good technical newsletter and a great one is whether the writer had an insight or just had information. Information is cheap — the reader can find it. Insight is the writer's interpretation, synthesis, or prediction layered on top.

**Ask yourself before writing:**
- What does this data actually mean for how someone does their job?
- What would a smart person get wrong about this topic, and why?
- What's the non-obvious implication of this development?
- What does this tell us about where things are going in 6–18 months?

If you can't answer at least one of those, you have a summary, not a newsletter.

**The "so what" test:**
After every major claim, ask: "so what?" If the answer is obvious or trivial, the claim isn't doing enough work. If the answer is non-obvious and specific to your reader's situation, you have something worth sending.

---

## CREDIBILITY SIGNALS

Technical readers are skeptical by default. Your credibility is built or destroyed faster than in any other format.

**What builds credibility:**
- Specific numbers with sources named
- Honest acknowledgment of limitations ("This only applies when X condition holds")
- Your actual experience or test results, stated plainly
- Counterarguments acknowledged and addressed

**What destroys credibility:**
- Vague attributions ("studies show," "experts agree")
- Overclaiming ("this will transform your entire workflow")
- Getting a technical detail wrong anywhere in the piece — if one thing is wrong, readers question everything
- Hedging everything to the point of saying nothing

---

## POST-GENERATION REVIEW

After producing any draft, stop. Re-read `core/anti-ai-rules.md` Sections 1–7 with the draft in front of you. Go line by line through the pre-publish checklist in Section 7. Fix every failure before presenting the output.

Do not present a draft and note that it "may have some areas to refine." Fix them. The writer should receive a draft that has already cleared the checklist, not one that needs the checklist run on it by the writer.

## PRE-SEND CHECKLIST

- [ ] Is the key insight stated in the first third of the issue?
- [ ] Does every claim have a specific fact, number, or named source?
- [ ] Does every section connect back to the key insight?
- [ ] Are headers scannable — do they tell the argument, not just the topic?
- [ ] Is there a specific action the reader can take?
- [ ] Have you run Sections 1–7 of `core/anti-ai-rules.md`?
- [ ] Have you answered "so what?" for every major claim?
- [ ] Is passive voice eliminated from technical descriptions?
- [ ] Are lists only used for genuinely parallel items?
- [ ] Would a busy expert stop and read this, or skip it?

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Review before install: Avoid automatic install

License: MIT

  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 28 GitHub stars
  • Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
  • Permission surface: secrets or environment access, shell or command execution
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Source & usage notes

Indexed

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository
Deupaxx/EveryDay-Writer
License
MIT
Version
1.0.0
Last GitHub push
Aug 20, 2026
Registry updated
Sep 1, 2026
Instruction path
skills/newsletter-technical/SKILL.md

Version reported in registry metadata; check source releases before relying on it.

Quality

59/100

Promising

Trust

65/100

Sandbox only

Audit

74/100

Needs review

Open full auditView eval report
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 28 GitHub stars
  • Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata
  • Permission surface: secrets or environment access, shell or command execution
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      "Low GitHub adoption signal",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 28 GitHub stars",
      "Stars/forks activity: 28 stars, 5 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 59,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision.",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use newsletter-technical in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 73/100 Strong shortlist",
      "Audit: 74/100 Needs review",
      "Safety: 30/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "deupaxx-newsletter-technical (newsletter-technical)",
      "install_command": "npx skills add Deupaxx/EveryDay-Writer --skill newsletter-technical",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "deupaxx-newsletter-technical",
      "task": "Use newsletter-technical in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/deupaxx-newsletter-technical",
    "api": "https://www.openagentskill.com/api/agent/skills/deupaxx-newsletter-technical",
    "audit": "https://www.openagentskill.com/skills/deupaxx-newsletter-technical/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=deupaxx-newsletter-technical&task=Use%20newsletter-technical%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20newsletter-technical%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20newsletter-technical%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/deupaxx-newsletter-technical/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/deupaxx-newsletter-technical"
  }
}

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