菜单
Transform any content into platform-optimized social media posts for LinkedIn, Twitter/X with A/B variants, clinical trial hashtag strategy, engagement predictions, and optimal posting schedules for clinical operations audiences.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/nroze22/TalosixSkills --skill social-media-transformer命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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基于 SOC 职业分类
| name | social-media-transformer |
| description | Transform any content into platform-optimized social media posts for LinkedIn, Twitter/X with A/B variants, clinical trial hashtag strategy, engagement predictions, and optimal posting schedules for clinical operations audiences. |
| argument-hint | [content-to-transform] |
| allowed-tools | WebSearch, WebFetch |
Convert any piece of content -- a blog post, product update, case study, white paper, event announcement, or raw idea -- into platform-specific social media posts that drive engagement with clinical trial professionals. Every output is calibrated for the platform's algorithm, character limits, formatting norms, and the specific behavior patterns of clinical operations audiences on social media.
Before generating posts, analyze the source content:
The most reliable LinkedIn format for thought leadership.
[HOOK: 1-2 lines that create curiosity or pattern interrupt]
[STORY: 3-5 short paragraphs telling a specific scenario, observation, or example]
[INSIGHT: 2-3 lines connecting the story to a broader lesson or principle]
[CTA: Question or invitation to engage]
#Hashtag1 #Hashtag2 #Hashtag3
Hook types that work for clinical trial audience:
[HOOK: Topic framing + count]
1. [Point one -- 1-2 sentences]
2. [Point two -- 1-2 sentences]
3. [Point three -- 1-2 sentences]
[4-7 additional points]
[CLOSING: Summary insight or question]
#Hashtags
[BEFORE scenario -- paint the painful status quo in 2-3 lines]
[TRANSITION: "Then we..." or "Here is what changed:"]
[AFTER scenario -- paint the improved state in 2-3 lines]
[LESSON: What this means for the reader]
#Hashtags
[STAT or DATA POINT -- large, attention-grabbing]
[CONTEXT -- Why this number matters]
[ANALYSIS -- What it means for clinical operations]
[IMPLICATION -- What should change as a result]
[QUESTION -- Invite the audience to share their data/experience]
#Hashtags
For posts that link to a document carousel (PDF slides):
[HOOK -- what the carousel covers]
[PREVIEW -- what they will learn in the slides]
Slide 1: [Topic]
Slide 2: [Topic]
...
[CTA -- "Swipe through" or "Save for later"]
#Hashtags
Provide carousel slide content as a separate output (6-10 slides, one key point per slide, large text with minimal design).
For every LinkedIn post, produce two variants:
Label each variant and state the hypothesis:
1/ [Hook -- the boldest version of the core message. Must work standalone.]
2/ [Context -- set the scene or define the problem]
3-5/ [Supporting points -- one per tweet, each self-contained]
6/ [The "so what" -- what should the reader do with this information]
7/ [CTA -- link to full content or ask for engagement]
1/ [Contrarian or provocative opening statement]
2/ [Why the conventional wisdom is wrong]
3-4/ [Evidence or examples supporting the take]
5/ [The nuanced conclusion -- not just contrarian, but constructive]
6/ [Invitation for debate or agreement]
1/ X things every [clinical data manager / clinical ops director] should know about [topic]:
2/ 1. [Tip one]
3/ 2. [Tip two]
...
n/ [Closing tip + CTA]
1/ [Setup -- a specific scenario or problem someone faced]
2-3/ [What happened -- the journey or decision]
4-5/ [The outcome -- results and metrics]
6/ [The lesson -- generalizable takeaway]
7/ [Link to full story]
Produce two versions of each thread's first tweet (the hook). The rest of the thread stays the same.
Rate each post's predicted engagement on three dimensions:
How much will the clinical trial audience relate to this?
How likely is someone to reshare or forward this?
How likely is this to generate comments?
Target: Every post should score 3+ on at least two dimensions. Discard or rework anything scoring 1-2 across all three.
Tier 1 (highest engagement):
Tier 2 (strong engagement):
Avoid:
European audience adjustment: Add CET posting times (8:00-10:00 AM CET Tuesday-Thursday)
Tier 1:
Thread posting: Post the first tweet during Tier 1 times. Space subsequent tweets 2-3 minutes apart.
During major clinical trial conferences (DIA Annual, SCOPE, ACRP, SCDM Annual), adjust strategy:
For each transformation request, provide: