Install
openclaw skills install technical-article-writerWrite compelling technical articles and blog posts for developer audiences. Use this skill whenever the user asks to write a blog post, technical article, or any long-form technical content. Also trigger when the user says 'write about [technical topic]', 'help me draft an article', 'turn this into a blog post', 'write a post about', 'I want to publish something about', or mentions writing for a developer audience. Covers the full pipeline: idea sharpening, hook/title generation, article structure, body drafting, and editing. Even if the user just says 'I want to write about X' without specifying format, use this skill. Do NOT use for platform-specific optimization, newsletter strategy, or ghostwriting voice matching.
openclaw skills install technical-article-writerWrite 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.
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.
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.
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):
Topic: What specific thing are you writing about?
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):
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.
Audience: Who reads this? (junior devs, senior engineers, CTOs, general tech, DBA, frontend developer...)
Content type: Which pattern fits? (see references/article-structures.md for full templates)
Length target: Short (800-1200), Medium (1500-2500), Long (3000+)
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:
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:
If the idea doesn't pass any filter, say so. Help the user find the angle that does.
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:
Present 10 titles ranked by assessment, with a brief note on why each works. Let the user pick or remix.
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:
copywriting-hooks)Address three reader objections:
Anti-patterns to avoid:
Choose structure based on content type. Read references/article-structures.md for detailed templates per content type.
General structural principles:
For code-heavy articles:
For opinion/analysis:
Write the complete article. Interleave hook, body sections, and conclusion.
For the conclusion, avoid restating the article. Instead pick one of:
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.
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.
After the draft is complete, suggest 1-3 images with specific placement in the article. For each image, provide:
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.
Revisit titles from Phase 2. Now that the full piece exists, some titles fit better. Present top 3 with a recommendation.
Present the article in clean markdown with:
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.