technical-article-writer

作者: samber

撰写面向开发者群体的技术文章和博客帖子。当用户要求撰写博客帖子、技术文章或任何长篇技术内容时使用此技能。当用户说“写一篇关于[技术主题]的文章”、“帮我起草一篇文章”、“把这变成一篇博客帖子”、“写一篇关于……的帖子”、“我想发布一些关于……的内容”,或提到为开发者群体写作时,也触发此技能。涵盖完整流程:观点提炼、标题/钩子生成、文章……

npx skills add https://github.com/samber/cc-skills --skill technical-article-writer

Technical Article Writer

Write technical articles that developers actually want to read. This skill combines structural frameworks from technical writing, hook engineering from copywriting, and practitioner-tested patterns for developer content.

Core philosophy

Most technical articles fail because of structural problems, not bad ideas: burying the lede, mixing content types, weak openings, no clear motivation, or trying to cover too much.

Developer audiences have a built-in BS detector. The best technical content leads with specificity and honesty. It sounds like a smart colleague explaining something interesting, not a marketer pitching. Acknowledge your expertise level, solve a specific problem, use real examples.


Workflow

Follow these phases in order. Each phase produces a concrete artifact the user reviews before moving on. Phase 1 is mandatory — always ask the user the intake questions and wait for answers before writing anything. If the user already provided some context, extract what you can and ask only about missing pieces.

Phase 1: Idea sharpening (interview)

Stop and ask. Before writing anything, present the intake questions below to the user and wait for their answers. Do not skip this phase, do not infer silently, and do not start drafting until you have explicit answers or confirmation on every item. Ask the user (or extract from context and confirm):

  1. Topic: What specific thing are you writing about?

  2. Objective: What's the primary goal of this article? Use AskUserQuestion to present these options (push back if the user picks more than one — a single primary CTA converts far better than competing asks):

    • Newsletter subscription / audience growth
    • Personal branding / thought leadership / authority in a niche
    • Product or service signup / free trial
    • Direct purchase
    • Lead generation (download, gated asset, whitepaper)
    • Demo or sales call booking
    • Community join (Discord, Slack, forum)
    • Engagement (reply, share, comment, restack)
    • Reader support (paid subscription, tip, sponsorship)
    • No conversion goal (purely informational / educational)

    The objective shapes the CTA, how much you give away vs. tease, and where conversion points sit. It will be passed directly to the copywriting-cta skill in Phase 5b.

  3. Audience: Who reads this? (junior devs, senior engineers, CTOs, general tech, DBA, frontend developer...)

  4. Content type: Which pattern fits? (see references/article-structures.md for full templates)

    • The Bug Hunt / We Rewrote It in X / How We Built It / Lessons Learned
    • Thoughts on Trends / Benchmark / Tutorial / Explainer
  5. Length target: Short (800-1200), Medium (1500-2500), Long (3000+)

  6. One-sentence thesis: The single claim or takeaway. If the user can't state this, help them.

If the user already provided most of this, extract from conversation and confirm. But if critical pieces are missing, stop and ask before proceeding. Don't guess at the audience, content type, or thesis. A wrong assumption here wastes an entire draft.

Specifically:

  • If the topic is vague ("write about Java performance"), ask what specific aspect and what the reader should walk away knowing.
  • If the audience is unclear, ask. A post for junior devs has a completely different structure than one for senior engineers.
  • If you can't infer a thesis, ask the user: "What's the one thing you want the reader to remember?" If they can't answer, help them find it through questions about what surprised them, what they'd tell a colleague, or what they wish they'd known earlier.
  • If the content type is ambiguous (could be a tutorial or an explainer), ask which experience the reader should have: following along hands-on, or building a mental model.

Only proceed to Phase 2 once you have enough clarity on topic, audience, content type, and thesis to write a coherent outline. It's cheaper to ask one question now than to rewrite 2000 words later.

Idea quality filters. Apply these before investing in a draft:

Julia Evans's heuristic: the best technical content comes from what you struggled with, not what you mastered. If the topic feels too "textbook", push toward the specific struggle, surprise, or counterintuitive finding.

Julian Shapiro's novelty filter. The idea should fit at least one:

  • Counter-intuitive: "I never realized the world worked that way"
  • Counter-narrative: "That's not how I was told it worked"
  • Shock and awe: "I had no idea that was possible"
  • Elegant articulation: "I always felt that way but couldn't put it into words"
  • Makes you feel seen: "Finally someone gets my experience"

If the idea doesn't pass any filter, say so. Help the user find the angle that does.

Phase 2: Title generation

Generate 10 title variants using different hook strategies. Read references/hooks-and-titles.md for the full framework of 10 hook types and headline formulas.

Constraints for developer audiences:

  • 7-12 words optimal for LinkedIn/B2B sharing
  • Specificity over cleverness ("How to profile Go allocations with pprof" > "Mastering Go Performance")
  • Numbers and data signal rigor
  • Avoid superlatives ("ultimate", "complete", "everything you need")
  • Technical keywords attract the right audience
  • Cognitive dissonance creates curiosity without clickbait

Present 10 titles ranked by assessment, with a brief note on why each works. Let the user pick or remix.

Phase 3: Hook and intro

Delegate the hook to the copywriting-hooks skill. Pass the topic, audience, language, content type, and length target from Phase 1. The skill will propose 3-4 hook options (2 candidates each) and wait for the user to pick. Do not write the hook yourself — let the skill run its full workflow.

After the user picks a hook, write the remaining intro (2-3 paragraphs) around it:

  1. Hook (chosen by the user via copywriting-hooks)
  2. Stakes (1-2 sentences): Why should the reader care? What's the cost of not knowing this?
  3. Promise (1 sentence): What will the reader gain by the end?

Address three reader objections:

  • Untrustworthy: Why should I listen to you? (credibility hook or specific experience)
  • Irrelevant: Why does this matter to me? (stakes)
  • Implausible: Will this actually deliver? (promise + specificity)

Anti-patterns to avoid:

  • Starting with a dictionary definition
  • "In today's fast-paced world..."
  • "Have you ever wondered..."
  • Burying the interesting part after 3 paragraphs of context
  • Explaining what the article will cover instead of demonstrating value

Phase 4: Body structure

Choose structure based on content type. Read references/article-structures.md for detailed templates per content type.

General structural principles:

  • One idea per section. If a section does two things, split it.
  • Show, then tell. Lead with the example, code snippet, or observation. Then explain.
  • Progressive disclosure. Start with the simplest version, then add complexity.
  • Every section earns the next. Each section should create enough momentum to pull the reader forward. If a section could be skipped, cut it.

For code-heavy articles:

  • Snippets < 20 lines, focused on one concept
  • Always show "before" (problem) and "after" (solution)
  • Annotate non-obvious lines
  • Link to repo for full code, show only the interesting parts inline

For opinion/analysis:

  • Steelman the opposing view before arguing against it
  • Concrete examples, not abstract reasoning
  • Quantify claims ("2x faster" not "much faster")

Phase 5: Draft the full article

Write the complete article. Interleave hook, body sections, and conclusion.

For the conclusion, avoid restating the article. Instead pick one of:

  • Implication: What does this mean for the reader's work going forward?
  • Open question: What's still unresolved or worth exploring?
  • Call to action: What should the reader do next?

Phase 5b: CTA

Delegate to the copywriting-cta skill. Pass the objective from Phase 1 as the primary objective. The skill will interview the user for any missing inputs (article context, audience relationship, funnel stage, mechanism) and produce the complete CTA recommendation — copy, form, mechanism, A/B test plan, and accessibility check.

Place the CTA output at the end of the article, after the conclusion. Do not write a CTA yourself.

Phase 5c: Humanize

Invoke a humanizer skill (e.g. "humanize", "humanizer", "de-slop", "natural writing check", "AI detection cleanup", "rewrite like a human") to strip AI-generated patterns — filler words, predictable cadence, over-hedging, hollow transitions, inflated language. Developer audiences have a built-in BS detector; AI-sounding prose kills trust before the reader reaches the technical content.

Preserve the hook and title. The opening hook (Phase 3) and title (Phase 2) were deliberately engineered for curiosity and credibility. Instruct the humanizer to leave them intact — rewriting them for "naturalness" destroys the copywriting structure that earns the click and the first scroll.

Phase 6: Image suggestions

After the draft is complete, suggest 1-3 images with specific placement in the article. For each image, provide:

  • Placement: Where in the article (e.g. "as the hero/cover image", "after the intro", "between section X and Y")
  • Purpose: What the image adds (break up a long text section, illustrate a concept, set the tone, visualize data)
  • Description: What the image should depict

Offer to generate a Midjourney prompt for each suggested image. If the user accepts, use the latest Midjourney model conventions to write the prompt. Use --ar 16:9 or --ar 3:1 for hero/cover images and wide illustrations (optimal for article headers), --ar 3:2 for smaller inline images. Refer to up-to-date Midjourney documentation for current prompt syntax and parameters.

Phase 7: Title finalization

Revisit titles from Phase 2. Now that the full piece exists, some titles fit better. Present top 3 with a recommendation.


Output format

Present the article in clean markdown with:

  • The chosen title as H1
  • A subtitle or meta-description (1 sentence)
  • The full article body
  • Image suggestions with placement notes (and Midjourney prompts if accepted)
  • A "Title alternatives" section at the end with 2-3 runner-up titles
  • A social teaser (only if the user accepted — offer after the draft, don't auto-generate)

Reference files

Read these when the corresponding phase needs more depth:

  • references/hooks-and-titles.md -- The 10 hook types, 6 copywriting frameworks (PAS, AIDA, BAB, FAB, PASTOR, 4Us), headline formulas, and research data. Read during Phase 2 and Phase 3.
  • references/article-structures.md -- Detailed templates for each of the 8 content types, Diataxis framework, structural anti-patterns, and transition techniques. Read during Phase 4.

来自 samber 的更多技能

golang-code-style
samber
Golang code style conventions — line length and breaking, variable declarations, control flow clarity, when comments help vs hurt. Use when writing or reviewing Go code, asking about style or clarity, or establishing project coding standards. Not for naming conventions (→ See `samber/cc-skills-golang@golang-naming` skill), linter configuration (→ See `samber/cc-skills-golang@golang-lint` skill), or doc comments (→ See `samber/cc-skills-golang@golang-documentation` skill).
developmentcode-review
golang-testing
samber
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI, or debugging flaky/slow tests. For testify-specific APIs see `samber/cc-skills-golang@golang-stretchr-testify`; for measurement methodology see...
developmenttestingcode-review
golang-design-patterns
samber
惯用的Go设计模式——函数选项、构造函数、错误流与级联、资源管理与生命周期、优雅关闭、弹性、架构、依赖注入、数据处理、流式处理等。适用于在架构模式间明确选择、实现函数选项、设计构造函数API、设置优雅关闭、应用弹性模式,或询问哪种惯用Go模式适合特定问题时。
developmentdesigncode-review
golang-error-handling
samber
Idiomatic Golang error handling — creation, wrapping with %w, errors.Is/As, errors.Join, custom error types, sentinel errors, panic/recover, the single handling rule, structured logging with slog, HTTP request logging middleware, and samber/oops for production errors. Built to make logs usable at scale with log aggregation 3rd-party tools. Apply when creating, wrapping, inspecting, or logging errors in Go code. For samber/oops specifics → See `samber/cc-skills-golang@golang-samber-oops`...
developmentcode-review
golang-performance
samber
Golang性能优化模式与方法论——若存在X瓶颈,则应用Y方案。涵盖分配减少、CPU效率、内存布局、GC调优、池化、缓存及热路径优化。适用于性能分析或基准测试已识别瓶颈时,需采用正确优化模式进行修复。亦适用于执行性能代码审查时,提出改进建议或可帮助快速识别性能增益的基准测试。不适用于测量方法论(→...
developmentcode-review
golang-security
samber
Golang的安全最佳实践与漏洞防护,涵盖注入(SQL、命令、XSS)、密码学、文件系统安全、网络安全、Cookie、密钥管理、内存安全及日志记录。适用于编写、审查或审计Go代码的安全性,或处理涉及加密、I/O、密钥管理、用户输入处理或身份验证的高风险代码。包含安全工具的配置。
securitycode-reviewdevelopment
golang-database
samber
Go数据库访问全面指南——参数化查询、结构体扫描、可空列、事务、隔离级别、SELECT FOR UPDATE、连接池、批处理、上下文传播及迁移工具。适用于编写、审查或调试与PostgreSQL、MariaDB、MySQL或SQLite交互的Golang代码;数据库测试;或关于database/sql、sqlx或pgx的问题。不生成数据库模式或迁移SQL。
developmentdatabase
golang-lint
samber
Golang项目的lint最佳实践与golangci-lint配置——运行linter、配置.golangci.yml、使用nolint指令抑制警告、解读lint输出以及选择linter。适用于配置golangci-lint、询问lint警告或nolint抑制、设置代码质量工具或选择linter时使用。当用户提及golangci-lint、go vet、staticcheck或revive时也可使用。
developmentcode-reviewtesting