Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Content Creation
Content Creator
Orchestrates humanizer, de-ai-ify, copywriting, and tweet-writer to create authentic, persuasive, platform-tailored content with clear engagement and factual...
skill openclawclawhub Free
Orchestrates humanizer, de-ai-ify, copywriting, and tweet-writer to create authentic, persuasive, platform-tailored content with clear engagement and factual...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/inspected-skills.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- h4gen
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Purpose
Create content that is: persuasive and high-signal, natural in voice, platform-appropriate, non-generic and non-template-like. This skill coordinates upstream writing/editing skills; it does not claim guaranteed virality.
Required Installed Skills
humanizer (inspected latest: 1.0.0) de-ai-ify (inspected latest: 1.0.0) copywriting (inspected latest: 0.1.0) tweet-writer (inspected latest: 1.0.0) Install/update: npx -y clawhub@latest install humanizer npx -y clawhub@latest install de-ai-ify npx -y clawhub@latest install copywriting npx -y clawhub@latest install tweet-writer npx -y clawhub@latest update --all Verify: npx -y clawhub@latest list
Requested Scenario Profile
Example scenario: User needs a LinkedIn post about remote work. The post should feel authentic and engagement-oriented. The final output should also include an X thread adaptation (5 tweets).
Inputs the LM Must Collect First
topic (example: remote work) platform_primary (linkedin) target_audience (example: managers, founders, ICs) goal (reach, comments, shares, leads) voice_preferences (direct, reflective, contrarian, practical) author_context (first-hand experience, examples, proof points) hard_constraints (length, tone, banned claims/words) thread_required (yes/no, default yes for this scenario) Do not draft copy before these are explicit.
humanizer
Use as first-pass anti-pattern editor: remove common AI writing signals, replace inflated/formulaic language with specific concrete phrasing, preserve meaning while increasing naturalness. Important behavior: strongly pattern-based rewrite guidance, output is rewritten text + change summary, no guaranteed numeric score in the base humanizer skill.
de-ai-ify
Use as voice pass: reduce robotic transitions and hedging, simplify buzzword-heavy language, increase conversational rhythm, enforce direct, human cadence. Important behavior: style/voice correction layer after humanizer, useful for adding opinionated nuance and natural texture.
copywriting
Use as persuasion structure pass: apply AIDA/PAS/FAB where appropriate, strengthen opening hook, sharpen value proposition, add one clear engagement CTA. Important behavior: persuasive framework selection by goal, avoid over-salesy tone for social posts.
tweet-writer
Use as X/Twitter adaptation layer: convert long-form message into scroll-stopping tweet/thread format, optimize hooks, pacing, and mobile readability, enforce concise tweet structure. Important boundary: this is X-oriented optimization, not LinkedIn-native optimization.
Canonical Pipeline
Use this order unless user requests otherwise.
Stage 1: Base draft (message-first)
Create a clean first draft for LinkedIn: one strong claim/opinion one concrete example one practical takeaway one question for comments Avoid list-heavy, sterile, template-first drafting.
Stage 2: Humanizer pass (pattern cleanup)
Run the draft through humanizer logic: remove inflated symbolism and generic conclusions reduce over-structured AI cadence replace vague claims with specifics Output target: same core meaning, lower obvious AI-pattern density, still readable and coherent.
Stage 3: De-AI-ify pass (voice)
Apply de-ai-ify voice shaping: remove excessive transitions and hedging tighten to direct, natural language introduce human rhythm (short + long sentence variation) Output target: sounds like a person with a point of view, not like policy copy.
Stage 4: Copywriting pass (engagement architecture)
Apply copywriting frameworks to final LinkedIn post: opening: strong hook (bold thesis, tension, or contrarian angle) body: concise value block (problem -> insight -> implication) close: one engagement question (comments-oriented CTA) Rule: one CTA only.
Stage 5: X adaptation (5-tweet thread)
Use tweet-writer principles to convert the same core argument into exactly 5 tweets: Tweet 1: hook Tweet 2: context/problem Tweet 3: key insight Tweet 4: practical framework/example Tweet 5: question CTA Hard constraints: no external links in the main tweets unless user explicitly requests short, mobile-readable lines keep continuity and avoid repeating the same sentence across tweets
Causal Chain (Scenario Mapping)
For the scenario "LinkedIn post about remote work": Agent drafts initial post on remote-work thesis. humanizer flags typical AI-like signals and rewrites for specificity. de-ai-ify adds conversational nuance and less robotic cadence. copywriting strengthens hook and adds one engagement question. tweet-writer transforms core message into a 5-tweet thread.
Output Contract
Always return: LinkedInPost_Final final LinkedIn copy VoiceEdits_Summary key changes from humanizer + de-ai-ify PersuasionStructure framework used (AIDA/PAS/FAB) and why XThread_5Tweets exactly five tweets, numbered 1/5 ... 5/5 OptionalVariants 2 alternative hooks 2 alternative closing questions
Quality Gates
Before final output, verify: authenticity: text does not read like a rigid template specificity: at least one concrete detail/example included rhythm: sentence lengths vary naturally persuasion: one clear hook + one clear CTA platform fit: LinkedIn readable + X thread concise integrity: no fabricated data, experiences, or citations If any gate fails, return Needs Revision with explicit reasons.
Guardrails
Do not fabricate personal anecdotes or fake proof. Do not claim guaranteed virality or guaranteed reach outcomes. Do not hide factual uncertainty when claims are unverified. Keep persuasive language ethical and non-manipulative. Prioritize reader trust over stylistic gimmicks.
Known Limits from Inspected Upstream Skills
Base humanizer is rewrite-focused and does not define a strict numeric AI score output. If numeric AI-likeness scoring is required (for example "85% AI"), this may need the optional ai-humanizer variant or explicit custom scoring rubric. tweet-writer optimizes for X, not LinkedIn ranking mechanics. These tools improve quality and naturalness but cannot guarantee SEO outcomes or detection immunity. Treat these limits as required disclosure when presenting results.
Category context
Writing, remixing, publishing, visual generation, and marketing content production.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/inspected-skills.md