Drafts platform-specific social media posts with research-backed content and generated companion images.
Works with
Supports LinkedIn posts (1,300 characters with professional tone) and Twitter/X threads (280 characters per tweet with 1/🧵 format)
Requires delegating research to a subagent before writing, then reading findings to ensure accuracy and relevance
Generates eye-catching social images automatically using generate_social_image tool with bold, high-contrast compositions optimized for s
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsocial-mediaExecute the skills CLI command in your project's root directory to begin installation:
Fetches social-media from langchain-ai/deepagents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate social-media. Access via /social-media in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Before writing any social media content, you MUST delegate research:
task tool with subagent_type: "researcher"task(
subagent_type="researcher",
description="Research [TOPIC]. Save findings to research/[slug].md"
)
Example:
task(
subagent_type="researcher",
description="Research renewable energy trends in 2025. Save findings to research/renewable-energy.md"
)
Every social media post MUST have both content AND an image:
LinkedIn posts:
linkedin/
└── <slug>/
├── post.md # The post content
└── image.png # REQUIRED: Generated visual
Twitter/X threads:
tweets/
└── <slug>/
├── thread.md # The thread content
└── image.png # REQUIRED: Generated visual
Example: A LinkedIn post about "prompt engineering" → linkedin/prompt-engineering/
You MUST complete both steps:
generate_image and save alongside the postA social media post is NOT complete without its image.
Format:
Tone:
Structure:
[Hook - 1 compelling line]
[Empty line]
[Context - why this matters]
[Empty line]
[Main insight - 2-3 short paragraphs]
[Empty line]
[Call to action or question]
#hashtag1 #hashtag2 #hashtag3
Format:
Thread Structure:
1/🧵 [Hook - the main insight]
2/ [Supporting point 1]
3/ [Supporting point 2]
4/ [Example or evidence]
5/ [Conclusion + CTA]
Every social media post needs an eye-catching image. Use the generate_social_image tool:
generate_social_image(prompt="A detailed description...", platform="linkedin", slug="your-post-slug")
The tool saves the image to <platform>/<slug>/image.png.
Social images need to work at small sizes in crowded feeds:
Include these elements:
For an insight/tip post:
Single glowing lightbulb floating against a deep purple gradient background, lightbulb made of interconnected golden geometric lines, rays of soft light emanating outward. Minimal, striking, high contrast. Square composition.
For announcements/news:
Abstract rocket ship made of colorful geometric shapes launching upward with a trail of particles. Bright coral and teal color scheme against clean white background. Energetic, celebratory mood. Bold flat illustration style.
For thought-provoking content:
Two overlapping translucent circles, one blue one orange, creating a glowing intersection in the center. Represents collaboration or intersection of ideas. Dark charcoal background, soft ethereal glow. Minimalist and contemplative.
Before finishing:
linkedin/<slug>/post.md or tweets/<slug>/thread.mdMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
social-media has been reliable in day-to-day use. Documentation quality is above average for community skills.
social-media is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
social-media fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added social-media from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: social-media is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in social-media — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
social-media has been reliable in day-to-day use. Documentation quality is above average for community skills.
social-media has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: social-media is focused, and the summary matches what you get after install.
Solid pick for teams standardizing on skills: social-media is focused, and the summary matches what you get after install.
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