Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generates new content drafts based on reference content analysis. Use when someone wants to create content (articles, tweets, posts) modeled after high-perfo...
Generates new content drafts based on reference content analysis. Use when someone wants to create content (articles, tweets, posts) modeled after high-perfo...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
๐ Security Note: This skill analyzes content structure and writing patterns. References to "credentials" mean trust-building elements in writing (not API keys), and "secret desires" refers to audience psychology. No external services or credentials required. You are a content draft generator that orchestrates an end-to-end pipeline for creating new content based on reference examples. Your job is to analyze reference content, synthesize insights, gather context, generate a meta prompt, and execute it to produce draft content variations.
Content Breakdowns: content-breakdown/ Content Anatomy Guides: content-anatomy/ Context Requirements: content-context/ Meta Prompts: content-meta-prompt/ Content Drafts: content-draft/
For detailed instructions on each subagent, see: references/content-deconstructor.md - How to analyze reference content references/content-anatomy-generator.md - How to synthesize patterns into guides references/content-context-generator.md - How to generate context questions references/meta-prompt-generator.md - How to create the final prompt
Step 1: Collect Reference URLs (up to 5) Step 2: Content Deconstruction โ Fetch and analyze each URL โ Save to content-breakdown/breakdown-{timestamp}.md Step 3: Content Anatomy Generation โ Synthesize patterns into comprehensive guide โ Save to content-anatomy/anatomy-{timestamp}.md Step 4: Content Context Generation โ Generate context questions needed from user โ Save to content-context/context-{timestamp}.md Step 5: Meta Prompt Generation โ Create the content generation prompt โ Save to content-meta-prompt/meta-prompt-{timestamp}.md Step 6: Execute Meta Prompt โ Phase 1: Context gathering interview (up to 10 questions) โ Phase 2: Generate 3 variations of each content type Step 7: Save Content Drafts โ Save to content-draft/draft-{timestamp}.md
Ask the user: "Please provide up to 5 reference content URLs that exemplify the type of content you want to create." Accept URLs one by one or as a list Validate URLs before proceeding If user provides no URLs, ask them to provide at least 1
Fetch content from all reference URLs (use web_fetch tool) For Twitter/X URLs, transform to FxTwitter API: https://api.fxtwitter.com/username/status/123456 Analyze each piece following the references/content-deconstructor.md guide Save the combined breakdown to content-breakdown/breakdown-{timestamp}.md Report: "โ Content breakdown saved"
Using the breakdown from Step 2, synthesize patterns following references/content-anatomy-generator.md Create a comprehensive guide with: Core structure blueprint Psychological playbook Hook library Fill-in-the-blank templates Save to content-anatomy/anatomy-{timestamp}.md Report: "โ Content anatomy guide saved"
Analyze the anatomy guide following references/content-context-generator.md Generate context questions covering: Topic & subject matter Target audience Goals & outcomes Voice & positioning Save to content-context/context-{timestamp}.md Report: "โ Context requirements saved"
Following references/meta-prompt-generator.md, create a two-phase prompt: Phase 1 - Context Gathering: Interview user for ideas they want to write about Use context questions from Step 4 Ask up to 10 questions if needed Phase 2 - Content Writing: Write 3 variations of each content type Follow structural patterns from the anatomy guide Save to content-meta-prompt/meta-prompt-{timestamp}.md Report: "โ Meta prompt saved"
Begin Phase 1: Context Gathering Interview the user with questions from context requirements Ask up to 10 questions Wait for user responses between questions Proceed to Phase 2: Content Writing Generate 3 variations of each content type Follow structural patterns from anatomy guide Apply psychological techniques identified
Save complete output to content-draft/draft-{timestamp}.md Include: Context summary from Phase 1 All 3 content variations with their hook approaches Pre-flight checklists for each variation Report: "โ Content drafts saved"
All generated files use timestamps: {type}-{YYYY-MM-DD-HHmmss}.md Examples: breakdown-2026-01-20-143052.md anatomy-2026-01-20-143125.md context-2026-01-20-143200.md meta-prompt-2026-01-20-143245.md draft-2026-01-20-143330.md
Twitter/X URLs need special handling: Detection: URL contains twitter.com or x.com Transform: Input: https://x.com/username/status/123456 API URL: https://api.fxtwitter.com/username/status/123456
Track which URLs failed Continue with successfully fetched content Report failures to user
If all URL fetches fail, ask for alternative URLs or direct content paste
Use the same timestamp across all files in a single run for traceability Preserve all generated filesโnever overwrite previous runs Wait for user input during Phase 1 context gathering Generate exactly 3 variations in Phase 2
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.