Agent skill

Happycapy Social Publisher

by happycapy-ai in happycapy-ai/Happycapy-skills

HappyCapy-specific skill for publishing content to 13+ social media platforms (Instagram, Twitter, LinkedIn, Threads, Facebook, TikTok, YouTube, Pinterest, Reddit, Telegram, Discord, etc.)…

MITAuto-check: notesMarketing & SEO

Install Happycapy Social Publisher

skills CLI
$ npx skills add happycapy-ai/Happycapy-skills --skill happycapy-social-publisher -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install happycapy-ai/Happycapy-skills happycapy-social-publisher --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/happycapy-social-publisher .claude/skills/happycapy-social-publisher && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
happycapy-social-publisher
GitHub stars
137
Token cost
~3.6k tokens
SKILL.md length
1,055 words
Files
3 (incl. references)
Skills in repo
28
Repo updated
First seen
Licence
MIT

At a glance

HappyCapy-specific skill for publishing content to 13+ social media platforms (Instagram, Twitter, LinkedIn, Threads, Facebook, TikTok, YouTube, Pinterest, Reddit, Telegram, Discord, etc.)…

  • Works in 10 steps: Check Late MCP Configuration → Verify Setup and Connected Platforms → Analyze Content → …
  • You need to cross-post to social media
  • SKILL.md covers Prerequisites Check, Workflow, MCP Tools Reference and Best Practices, plus 3 more sections
  • Calls uvx, curl and sh; reaches getlate.dev and astral.sh; needs LATE_API_KEY

What it does

Happycapy Social Publisher is an agent skill from happycapy-ai/Happycapy-skills. HappyCapy-specific skill for publishing content to 13+ social media platforms (Instagram, Twitter, LinkedIn, Threads, Facebook, TikTok, YouTube, Pinterest, Reddit, Telegram, Discord, etc.) simultaneously with platform-optimized styles, optional AI-generated media (video/image), and smart error handling. Uses Late MCP integration available in HappyCapy environment. Use when you need to cross-post to social media, create multi-platform marketing content, share announcements across platforms, publish with…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/platform-styles.md`).

It sits in Marketing & SEO, covering Social publishing and cross-posting, MCP servers and Error handling. It works with Discord, Instagram, LinkedIn and Pinterest. The repository describes itself as: A curated collection of high-quality Claude Code skills to enhance your development workflow. The licence is MIT.

When your agent uses it

  • You need to cross-post to social media
  • Create multi-platform marketing content
  • Share announcements across platforms
  • Publish with platform-specific adaptations

Example prompts

  • “/happycapy-social-publisher”

Requirements

  • Python 3
  • A credential in LATE_API_KEY

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Check Late MCP Configuration
  2. Verify Setup and Connected Platforms
  3. Analyze Content
  4. Platform Selection
  5. Media Generation (Optional)
  6. Content Adaptation
  7. Preview & Approval
  8. Publish
  9. Error Handling
  10. Results Report

What it can do on your machine

Read from SKILL.md and the folder at commit 9ff72fe. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uvx
    • curl
    • sh

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • getlate.dev
    • astral.sh
    • instagram.com
    • twitter.com
    • linkedin.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • LATE_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Happycapy Social Publisher loads about 3.6k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 205 tokens; SKILL.md has 1,055 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~205
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePipes a well-known installer script into a shellSKILL.md:32
    curl -LsSf https://astral.sh/uv/install.sh | sh

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from happycapy-ai/Happycapy-skills at commit 9ff72fe, republished under its MIT licence (© happycapy-ai). 1,055 words, ~3,555 tokens.

Download SKILL.mdSave it as .claude/skills/happycapy-social-publisher/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
happycapy-social-publisher
description
HappyCapy-specific skill for publishing content to 13+ social media platforms (Instagram, Twitter, LinkedIn, Threads, Facebook, TikTok, YouTube, Pinterest, Reddit, Telegram, Discord, etc.) simultaneously with platform-optimized styles, optional AI-generated media (video/image), and smart error handling. Uses Late MCP integration available in HappyCapy environment. Use when you need to cross-post to social media, create multi-platform marketing content, share announcements across platforms, publish with platform-specific adaptations, generate AI media for posts, or manage social media publishing workflows. Supports interactive content creation with user-guided platform selection, media generation choices, preview before publish, and automatic retry with character limit adjustments.

HappyCapy Social Media Publisher

Publish content to 13+ social media platforms with platform-optimized styles, optional AI-generated media, and smart error handling.

Environment Note: This skill is designed for HappyCapy environment with fixed paths:

  • Claude config: /home/node/.claude.json
  • MCP config: /home/node/.mcp.json
  • Claude settings: /home/node/.claude/settings.local.json
  • User home: /home/node

Prerequisites Check

1. Check Late MCP Configuration

Read /home/node/.mcp.json to verify Late MCP is configured.

If Late MCP not configured, execute automatic setup:

Automatic Setup Flow

Step 1: Install uv (if needed)

bash
# Check if uv is installed
uvx --version

# If not found, install it
curl -LsSf https://astral.sh/uv/install.sh | sh

Step 2: Interactive API Key Setup

Ask user via AskUserQuestion tool:

Question: "Do you have a Late API Key?"
Options:
- "Yes, I have one" → Ask for API Key input
- "No, need to register" → Guide to registration

If user needs to register:

  1. Guide user to visit https://getlate.dev (free tier: 20 posts/month)
  2. Instruct: Settings → API Keys → Create API key
  3. Ask user to provide the key (format: sk_xxxxxxxxxxxxxxxx)

If user has key:

  1. Request API Key input via AskUserQuestion
  2. Validate format starts with sk_

Step 3: Auto-Configure Files

Read and intelligently merge configurations:

For /home/node/.mcp.json:

python
# Read existing config
config = read_json("/home/node/.mcp.json") or {"mcpServers": {}}

# Add late server
config["mcpServers"]["late"] = {
    "command": "/home/node/.local/bin/uvx",
    "args": ["--from", "late-sdk[mcp]", "late-mcp"],
    "env": {
        "LATE_API_KEY": api_key_from_user
    }
}

# Write back
write_json("/home/node/.mcp.json", config)

For /home/node/.claude.json:

python
# Read existing config
claude_config = read_json("/home/node/.claude.json") or {"mcpServers": {}}

# Add late server (same as .mcp.json)
claude_config["mcpServers"]["late"] = {
    "command": "/home/node/.local/bin/uvx",
    "args": ["--from", "late-sdk[mcp]", "late-mcp"],
    "env": {
        "LATE_API_KEY": api_key_from_user
    }
}

# Write back
write_json("/home/node/.claude.json", claude_config)

For /home/node/.claude/settings.local.json:

python
# Read existing settings
settings = read_json("/home/node/.claude/settings.local.json") or {}

# Add "late" to enabledMcpjsonServers if not present
if "enabledMcpjsonServers" not in settings:
    settings["enabledMcpjsonServers"] = []
if "late" not in settings["enabledMcpjsonServers"]:
    settings["enabledMcpjsonServers"].append("late")

# Write back
write_json("/home/node/.claude/settings.local.json", settings)

Step 4: Restart Prompt

Display message:

✅ Late MCP configured successfully!

Please start a new conversation for the configuration to take effect.

After starting new conversation, I will verify the setup and guide you to connect social media accounts.
2. Verify Setup and Connected Platforms

In the new conversation, verify configuration:

Call mcp__late__accounts_list

Handle results:

  • Success with accounts: Proceed to platform selection workflow
  • Success but no accounts: Guide user to connect platforms
  • Error: Display error message, suggest checking API key validity

If no accounts found:

Your Late API is configured, but no social media accounts are connected yet.

Please visit: https://getlate.dev/accounts

Connect your desired platforms:
- LinkedIn (Direct OAuth)
- X/Twitter (Direct OAuth)
- Instagram (Professional/Creator account via Facebook)
- Threads (via Instagram)
- Facebook, TikTok, YouTube, Pinterest, Reddit, Telegram, Discord, etc.

After connecting accounts, call me again to start publishing!

Workflow

Step 1: Analyze Content

Extract from user's input:

  • Core message: Main topic or announcement
  • Key points: 3-5 bullet points to emphasize
  • Tone: Professional, casual, inspiring, technical, etc.
  • Call-to-action: Link, question, or engagement prompt
  • Media suggestion: Does content benefit from video or image?
Step 2: Platform Selection

Show user their connected platforms from accounts_list result.

Late API supports 13+ platforms including:

  • Instagram, Twitter/X, LinkedIn, Threads
  • Facebook, TikTok, YouTube, Pinterest
  • Reddit, Telegram, Discord, Mastodon
  • And more

Display the platforms that the user has actually connected (from accounts_list).

Ask user to select which platforms to publish to:

  • List all their connected platforms dynamically
  • Allow selecting all or specific subset
  • Explain any platform-specific requirements if needed
Step 3: Media Generation (Optional)

Ask user if they want AI-generated media:

Option A: Generate AI Video

  • Use /generate-video skill with appropriate prompt
  • Duration: 6-8 seconds (optimal for social media)
  • Save to ./outputs/ directory
  • Get video URL for publishing

Option B: Generate AI Image

  • Use /generate-image skill
  • Save to ./outputs/ directory
  • Get image URL for publishing

Option C: User Upload

  • Ask user to provide media URL or file path

Option D: Text Only

  • Proceed without media
Step 4: Content Adaptation

Generate platform-specific versions of content following these guidelines:

Instagram (max 2,200 chars):

  • Visual storytelling style
  • Emoji-rich, engaging narrative
  • 8 relevant hashtags (mix popular + niche)
  • Emphasize visual elements

Twitter (max 280 chars):

  • Concise and punchy
  • Conversational tone
  • 1-2 hashtags only
  • Strong opening hook

LinkedIn (max 3,000 chars):

  • Professional insights and analysis
  • Value-driven content
  • 3-5 industry hashtags
  • Thought leadership angle

Threads (max 500 chars - STRICT):

  • Casual, authentic story
  • Personal touch and relatability
  • NO hashtags (they don't work on Threads)
  • Keep under 450 chars for safety buffer

For detailed platform strategies, see references/platform-styles.md

Step 5: Preview & Approval

Display all generated content to user:

markdown
## Preview

### Instagram (348 chars)
[content]

### Twitter (276 chars)
[content]

### LinkedIn (689 chars)
[content]

### Threads (413 chars)
[content]

Ask user:

  1. Approve all and publish?
  2. Edit specific platform content?
  3. Cancel?

If user requests edits, modify specific platform content and re-preview.

Step 6: Publish

Once approved, publish to selected platforms:

For multiple platforms simultaneously:

Call mcp__late__posts_cross_post with:
{
  "profiles": ["profile_id_1", "profile_id_2", ...],
  "text": "platform-specific content",
  "media_urls": ["https://...video.mp4"] (if media exists)
}

For single platform:

Call mcp__late__posts_create with:
{
  "profile_id": "specific_profile_id",
  "text": "content",
  "media_urls": ["..."] (optional)
}
Step 7: Error Handling

Threads Character Limit Error:

If Threads post fails with "text too long" error:

  1. First retry: Remove adjectives, condense sentences (target: 400 chars)
  2. Second retry: Remove line breaks, simplify further (target: 350 chars)
  3. Third retry: Rewrite to essential message only (target: 300 chars)
  4. Manual fallback: Ask user to manually edit content

Each retry should maintain core message while shortening length.

Other Platform Errors:

  • Media upload failures: Retry once, then fallback to text-only
  • Rate limits: Show error, suggest trying again later
  • Authentication errors: Guide user to reconnect platform at https://getlate.dev/accounts
Show full SKILL.md (424 more words)Show less
Step 8: Results Report

After publishing, show results:

markdown
## Publishing Results

✅ Instagram: Posted successfully
   → https://instagram.com/p/xxxxx

✅ Twitter: Posted successfully
   → https://twitter.com/user/status/xxxxx

✅ LinkedIn: Posted successfully
   → https://linkedin.com/feed/update/xxxxx

⚠️ Threads: Failed (text too long)
   → Retrying with shortened content...
   → ✅ Posted on second attempt

Save results to ./outputs/{timestamp}_report.json for reference.

MCP Tools Reference

List Connected Accounts
mcp__late__accounts_list

Returns array of connected platforms with:

  • id: Profile ID for publishing
  • platform: instagram, twitter, linkedin, threads
  • username: Account username/handle
Create Single Post
mcp__late__posts_create({
  "profile_id": "prof_xxx",
  "text": "Post content here",
  "media_urls": ["https://..."] (optional)
})
Cross-Post to Multiple Platforms
mcp__late__posts_cross_post({
  "profiles": ["prof_1", "prof_2", "prof_3"],
  "text": "Content for all platforms",
  "media_urls": ["https://..."] (optional)
})
Check Post Status
mcp__late__posts_get({
  "post_id": "post_xxx"
})

Returns post status: pending, published, failed

Upload Media
mcp__late__media_generate_upload_link({
  "filename": "video.mp4"
})

Returns upload URL. After uploading, get media URL for publishing.

Best Practices

Character Count Guidelines

Always count characters INCLUDING:

  • Newlines (\n = 1 char)
  • Spaces
  • Punctuation
  • Emojis (some count as 2 chars)

For Threads, aim for 400-450 chars to provide safety buffer.

Content Adaptation Strategy
  1. Maintain core message across all platforms
  2. Adapt style and tone to platform culture
  3. Adjust length to platform limits
  4. Use platform-appropriate hashtags
  5. Keep authentic voice (avoid AI clichés)
Hashtag Strategy
  • Instagram: 8 hashtags (mix trending + niche)
  • Twitter: 1-2 hashtags max
  • LinkedIn: 3-5 professional hashtags
  • Threads: 0 hashtags (they don't function)
Media Recommendations
  • Video: 6-8 seconds, 16:9 ratio, under 100MB
  • Image: 1080x1080px (square) or 1080x1350px (portrait)
  • Multiple platforms: Use MP4 video or JPG/PNG images

Common Pitfalls

❌ Threads posts >500 chars - Always fails ✅ Keep under 450 chars with buffer

❌ Same content for all platforms - Low engagement ✅ Adapt style and hashtags per platform

❌ AI writing tells - "Excited to announce", "Dive deep" ✅ Natural, conversational language

❌ Too many hashtags on Twitter - Looks spammy ✅ 1-2 relevant hashtags maximum

❌ Using hashtags on Threads - They don't work ✅ No hashtags on Threads

Examples

Product Launch Example

User Input: "Launched HappyCapy - cloud-native AI platform. No more local setup!"

Instagram (348 chars):

🚀 从养claw到养capy的进化!

有点点生物背景的我突然意识到:这不就像从甲壳类进化到哺乳类吗?

Claw = 需要硬件、本地部署、不安全
Capy = 云端运行、零部署、更安全

HappyCapy 让一切变简单,告别本地配置的痛苦!

✨ 30万+ AI能力组合
☁️ 云端一键启动
🔒 更安全的环境

#AI工具 #云端开发 #HappyCapy #开发者工具 #AI平台 #CloudNative #NoCode #进化

Twitter (276 chars):

从养claw到养capy!🦞→🐹

有点点生物背景的我发现:Claw需要硬件+本地部署,Capy云端运行零配置。就像从甲壳类进化到哺乳类!

HappyCapy = 30万+ AI能力,云端一键启动 ☁️

告别配置地狱!

#AI #CloudDev

LinkedIn (689 chars):

From "养claw" to "养capy": An Evolution in AI Development Tools

As someone with a bit of biology background, I realized something interesting: the shift from Claude Code (Claw) to HappyCapy mirrors biological evolution - from crustaceans to mammals.

Key differences:
• Claw: Hardware-dependent, local deployment, security concerns
• Capy: Cloud-native, zero setup, enhanced security

Why this matters for developers:
✓ 300,000+ AI capability combinations
✓ Instant cloud deployment
✓ No local environment configuration
✓ Safer execution environment

The local-first approach is evolving. Just as mammals adapted better to diverse environments than crustaceans, cloud-native platforms offer flexibility and safety that hardware-dependent tools can't match.

Ready to evolve your development workflow?

#AITools #CloudDevelopment #DeveloperExperience #CloudNative #AIplatform

Threads (413 chars):

从养claw到养capy的感悟 🦞→🐹

有点点生物背景的我突然发现:这简直就是从甲壳类到哺乳类的进化啊!

Claw时代:需要硬件、本地部署、各种配置头疼
Capy时代:云端运行、零部署、打开就用

就像生物进化一样,哺乳类比甲壳类更高级,云端工具也比本地工具更方便更安全。

HappyCapy = 30万+ AI能力,告别配置地狱 ☁️

你还在养claw吗?

Troubleshooting

Late MCP Not Loading
  1. Verify ~/.mcp.json configuration is correct
  2. Check API key format: sk_xxxxxxxxxxxxxxxx
  3. Verify uvx is installed: uvx --version
  4. Start a new conversation in HappyCapy
  5. Check ~/.claude/settings.local.json has "late" in enabledMcpjsonServers
No Connected Accounts
  1. Visit https://getlate.dev/accounts
  2. Click "Connect Account" for each platform
  3. Complete OAuth authorization
  4. Wait for connection confirmation
  5. Verify with mcp__late__accounts_list
Media Upload Failures
  1. Verify media URL is publicly accessible
  2. Check file size (under 100MB for video)
  3. Verify format: MP4 for video, JPG/PNG for images
  4. Try uploading directly via mcp__late__media_generate_upload_link
Threads Character Limit

Always count characters including newlines. Use auto-retry logic:

  • Retry 1: Remove adjectives (target 400 chars)
  • Retry 2: Condense sentences (target 350 chars)
  • Retry 3: Essential message only (target 300 chars)

Support

For configuration issues:

  1. Check Late API dashboard: https://getlate.dev
  2. Verify MCP configuration in ~/.mcp.json
  3. Review error messages from MCP tools
  4. Check platform-specific requirements in references/

© happycapy-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in skills/happycapy-social-publisher of happycapy-ai/Happycapy-skills.

  • SKILL.md
  • .gitignore
  • references/platform-styles.md

Open the folder on GitHubat commit 9ff72fe

Compare with similar skills

Happycapy Social Publisher next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Happycapy Social Publisher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Happycapy Social Publisher this skillhappycapy-ai/Happycapy-skills137—~3.6kAutomated safety check: NotesMIT
Social Publishingwshobson/agents40k—~914Automated safety check: PassMIT
Social Publisheraffaan-m/ECC277k1 repos~1.1kAutomated safety check: PassMIT
Google Maps Contact Extractbrowser-act/skills6.1k—~2.9kAutomated safety check: PassMIT
Google Social Media Finderbrowser-act/skills6.1k—~1.7kAutomated safety check: PassMIT
Socialclawsickn33/agentic-awesome-skills47k1 repos~871Automated safety check: PassMIT

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Questions about Happycapy Social Publisher

What does Happycapy Social Publisher do?

HappyCapy-specific skill for publishing content to 13+ social media platforms (Instagram, Twitter, LinkedIn, Threads, Facebook, TikTok, YouTube, Pinterest, Reddit, Telegram, Discord, etc.)…. Happycapy Social Publisher is an agent skill from happycapy-ai/Happycapy-skills.) simultaneously with platform-optimized styles, optional AI-generated media (video/image), and smart error handling.

When should I use Happycapy Social Publisher?

Happycapy Social Publisher fits situations like: you need to cross-post to social media; create multi-platform marketing content; share announcements across platforms; publish with platform-specific adaptations.

How do I install Happycapy Social Publisher in Claude Code?

Run `npx skills add happycapy-ai/Happycapy-skills --skill happycapy-social-publisher -a claude-code`. Or copy the skill folder (skills/happycapy-social-publisher in happycapy-ai/Happycapy-skills) into .claude/skills/happycapy-social-publisher in your project. Claude Code loads it when a task matches its description.

How do I install Happycapy Social Publisher in Codex?

Run `npx skills add happycapy-ai/Happycapy-skills --skill happycapy-social-publisher -a codex`. Or copy the skill folder (skills/happycapy-social-publisher in happycapy-ai/Happycapy-skills) into .agents/skills/happycapy-social-publisher in your project. Codex loads it when a task matches its description.

Can I use Happycapy Social Publisher in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add happycapy-ai/Happycapy-skills --skill happycapy-social-publisher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/happycapy-social-publisher, .gemini/skills/happycapy-social-publisher, .github/skills/happycapy-social-publisher and .opencode/skills/happycapy-social-publisher in your project.

What does Happycapy Social Publisher need to run?

Going by SKILL.md and its folder, Happycapy Social Publisher needs the command-line tools its instructions call (uvx, curl and sh) and credentials named LATE_API_KEY. Our summary lists: Python 3; A credential in LATE_API_KEY.

Does Happycapy Social Publisher access the network?

SKILL.md names 5 domains. In commands or code: getlate.dev, astral.sh, instagram.com, twitter.com and linkedin.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Happycapy Social Publisher safe to install?

Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Happycapy Social Publisher use?

Happycapy Social Publisher is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Happycapy Social Publisher use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Happycapy Social Publisher?

Skills that share tags, products or a category with Happycapy Social Publisher: Social Publishing (wshobson/agents, 40k stars), Social Publisher (affaan-m/ECC, 277k stars), Google Maps Contact Extract (browser-act/skills, 6.1k stars) and Google Social Media Finder (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Happycapy Social Publisher?

happycapy-ai (a GitHub user) maintains it in happycapy-ai/Happycapy-skills, which has 137 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 3, 2026.

Source: happycapy-ai/Happycapy-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.