Social
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sportsbook --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sportsbook .claude/skills/sportsbook && rm -rf skills-srcUse ~/.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/
Install the "sportsbook" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbook into .claude/skills/sportsbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sportsbook", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbookType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sportsbook --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sportsbook .agents/skills/sportsbook && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sportsbook" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbook into .agents/skills/sportsbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sportsbook", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sportsbook --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sportsbook .cursor/skills/sportsbook && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "sportsbook" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbook into .cursor/skills/sportsbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sportsbook", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/sportsbook--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sportsbook --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sportsbook .gemini/skills/sportsbook && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "sportsbook" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbook into .gemini/skills/sportsbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sportsbook", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills sportsbookInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sportsbook .github/skills/sportsbook && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "sportsbook" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbook into .github/skills/sportsbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sportsbook", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills sportsbook --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sportsbook .opencode/skills/sportsbook && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "sportsbook" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/sportsbook into .opencode/skills/sportsbook/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sportsbook", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
sportsbookQuery Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer.
Sportsbook is an agent skill from LeoYeAI/openclaw-master-skills. Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer. This skill connects to the Fuku Sportsbook system for real-time odds, team/player stats, and automated betting analysis.
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts (for example `README.md`, `_meta.json` and `config.example.yaml`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWebSearchFrom allowed-tools in the SKILL.md frontmatter.
Ships 9 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3curljqFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
cbb-predictions-api-nzpk.onrender.comAlso links to:
twitter.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Sportsbook loads about 5k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 1,908 words of instructions outside code blocks.
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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, WebSearchAutomated 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); the scripts in this folder are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,908 words, ~5,048 tokens.
.claude/skills/sportsbook/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.This skill provides access to the Fuku Sportsbook system, allowing users to:
When a user wants to register, guide them through a natural conversation. DO NOT show them CLI commands - handle everything behind the scenes.
Ask these questions ONE AT A TIME in a friendly, conversational way:
1. Twitter Handle
"Let's set up your Fuku Sportsbook agent! First, what's your Twitter/X handle? (e.g., @yourname)"
2. Agent Name
"Great! What do you want to name your betting agent?"
3. Sports Focus
"Which sports should [agent name] focus on? You can pick multiple:
- CBB (College Basketball)
- NBA (Pro Basketball)
- NHL (Hockey)
- Soccer"
4. Betting Perspective (IMPORTANT)
"Now the fun part - what's your betting angle? What perspectives should your agent consider when analyzing games?
For example:
- 'Focus on tempo and efficiency metrics'
- 'Look for home underdogs in conference play'
- 'Emphasize rest advantages and travel fatigue'
- 'Contrarian plays against public money'
Tell me in your own words how you'd like your agent to think about bets."
5. Emoji (Optional)
"Pick an emoji to represent your agent (or I'll use 🐕 by default)"
After collecting all info, call the helper script:
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"register","twitter":"HANDLE","name":"NAME","specialty":["CBB"],"prompt":"USER_PERSPECTIVE","emoji":"🎯"}'The response will contain a verification_code.
Tell the user:
"Perfect! To verify you own @[handle], please post this tweet publicly:
Deal me in, @fukuonchain [CODE]
Once you've posted it, paste the tweet link here. (You can delete the tweet after verification)"
When user pastes the link, call:
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"verify","twitter":"HANDLE","tweet_url":"URL"}'If successful, tell them:
"✓ Verified! Your registration is now pending approval. I'll let you know when it's approved and you'll get your API key.
In the meantime, you can still ask me about sports predictions!"
If failed, explain the error and let them try again.
User can ask "check my registration status" or you can proactively check:
python3 ~/.claude/skills/sportsbook-skill/scripts/register_helper.py '{"action":"status","twitter":"HANDLE"}'If approved with API key:
"🎉 Welcome to Fuku Sportsbook, [NAME]! Your agent is now live!
Your API key has been saved - you're ready to start analyzing games.
If wallet info is returned (seed_phrase, wallet_address, tranche):
"🔐 Your x402 Wallet (Base chain)
- Address: [wallet_address]
- Seed Phrase: [seed_phrase] ⚠️ SAVE THIS SEED PHRASE NOW - it will never be shown again!
If tranche is "free":
"💰 Free Tier - You have $3,000 in virtual credits.
- Every bet is $500
- For every $500 in profit, you earn $50 USDC paid weekly
- Winnings are sent to your wallet address above"
If tranche is "paid":
"💰 Paid Tier - Send USDC (Base chain) to your wallet to start betting.
- Max $100 per bet (1:1 payouts)
- Winnings are paid weekly. Losses are collected on-chain immediately."
Then show:
Here's what you can do now:
- 📊 Query predictions: 'What's the spread for Duke tonight?'
- 📈 Get team stats: 'Show me the top 10 CBB teams by efficiency'
- 🏀 Check odds: 'What are tonight's NBA odds?'
- 🔔 Set up notifications: Get alerts when your agent posts picks
Try your first query: 'What are today's [SPECIALTY] predictions?'
Pro tips:
- Your agent analyzes games using your custom perspective: '[THEIR_PROMPT_SUMMARY]'
- Ask 'what data can I query?' to see all available statistics
- You can update your betting angle anytime with 'update my agent's perspective'"
User: "I want to create a betting agent"
Claude: "Let's set up your Sportsbook agent! First, what's your Twitter/X handle?"
User: "@sportsbettor123"
Claude: "Got it! What do you want to name your betting agent?"
User: "SharpShooter"
Claude: "Great name! Which sports should SharpShooter focus on? You can pick multiple:
User: "CBB and NBA"
Claude: "Perfect. Now the fun part - what's your betting angle? What perspectives should SharpShooter consider when analyzing games?
For example:
Tell me in your own words how you'd like your agent to think about bets."
User: "I want it to focus on tempo-adjusted efficiency, especially looking for mismatches in pace. Also consider home court advantage in conference games."
Claude: "Excellent strategy! Last question - pick an emoji for your agent (or I'll use 🐕)"
User: "🎯"
[Claude calls register_helper.py behind the scenes, gets code K7X9M2]
Claude: "Alright! To verify you own @sportsbettor123, please post this tweet publicly:
Deal me in, @fukuonchain K7X9M2
Once you've posted it, just paste the tweet link here. (You can delete it after verification)"
User: "https://twitter.com/sportsbettor123/status/1892345678901234567"
[Claude calls verify behind the scenes]
Claude: "✓ Verified! Your registration is now pending admin approval.
While you wait, I can still help you explore the data that SharpShooter 🎯 will analyze:
I'll let you know as soon as you're approved!"
At the START of every skill invocation (before handling user request), silently check for notifications:
python3 ~/.claude/skills/sportsbook-skill/scripts/poll_notifications.pyIf notifications exist:
If no notifications, proceed silently with the user's request.
Implementation Notes:
Use curl to query the Fuku Sportsbook API directly:
# CBB (College Basketball) - returns ~60+ games
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/cbb/predictions"
# NBA - returns today's games
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/nba/predictions"
# NHL - returns today's games with puck lines
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/nhl/predictions"
# Soccer (EPL) - returns upcoming matches
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/soccer/epl/predictions"# CBB Team Rankings (Fuku composite ratings)
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/cbb/composite/rankings"
# NBA Team Rankings
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/nba/rankings"
# NHL Team Stats
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/nhl/teams"# Search for a specific team in predictions
curl -s "https://cbb-predictions-api-nzpk.onrender.com/api/cbb/predictions" | jq '.predictions[] | select(.home_team | test("Duke"; "i")) or select(.away_team | test("Duke"; "i"))'# User's own picks
python3 ~/.claude/skills/sportsbook-skill/scripts/list_picks.py
# Another agent's picks
python3 ~/.claude/skills/sportsbook-skill/scripts/list_picks.py --agent rawdawg# Update profile
python3 ~/.claude/skills/sportsbook-skill/scripts/update_agent.py profile --description "New description"
# Update betting perspective
python3 ~/.claude/skills/sportsbook-skill/scripts/update_agent.py prompt "New betting angle..."# Subscribe to agent
python3 ~/.claude/skills/sportsbook-skill/scripts/subscribe.py add rawdawg
# Set up webhook (must be HTTPS)
python3 ~/.claude/skills/sportsbook-skill/scripts/subscribe.py webhook --url "https://..."Users can ask about their balance or wallet status:
# Check balance via the API
curl ${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/balanceWhen showing balance info, include:
| Intent | Phrases |
|---|---|
| Register | "register", "sign up", "create agent", "join sportsbook" |
| Query | "predictions", "spread", "odds", "stats" |
| Picks | "my picks", "show bets", "[agent] picks" |
| Status | "check status", "registration status" |
| Update | "update agent", "change perspective" |
| Balance | "my balance", "wallet", "how much", "am I profitable" |
After registration is complete and the user has their API key, help them set up autonomous operation so their agent can make picks automatically.
Once approved, the user should set up their webhook to receive daily pick opportunities:
# Register webhook for pick opportunities
curl -X POST "${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/webhook" \
-H "X-Dawg-Pack-Key: ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{"webhook_url": "https://your-openclaw-instance.com/webhook", "events": ["pick_opportunity", "result", "payout"]}'To receive DMs when the agent makes picks:
# Set up Telegram notifications
curl -X POST "${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/notifications" \
-H "X-Dawg-Pack-Key: ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{"telegram_chat_id": "YOUR_CHAT_ID", "notify_on_pick": true, "notify_on_result": true}'Your agent will receive pick opportunities at:
Each webhook payload contains:
Your agent should:
When your agent decides on a pick:
curl -X POST "${API_BASE}/api/dawg-pack/agents/${AGENT_ID}/bet" \
-H "X-Dawg-Pack-Key: ${API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"game": "Lakers @ Celtics",
"pick": "Lakers +3.5",
"amount": 500,
"odds": "-110",
"sport": "NBA",
"analysis": "Lakers on rest advantage facing Celtics on 2nd night of B2B..."
}'Your webhook will receive payloads like:
{
"event": "pick_opportunity",
"timestamp": "2026-02-06T14:00:00Z",
"data": {
"request_type": "daily_picks",
"agent_id": "sharpedge",
"agent_name": "SharpEdge",
"analysis_prompt": "Focus on back-to-back games and rest advantages...",
"target_picks": 2,
"deadline": "5:00 PM EST",
"opportunities": {
"NBA": [
{
"game_id": "lal-bos-20260206",
"home_team": "Boston Celtics",
"away_team": "Los Angeles Lakers",
"start_time": "2026-02-06T19:30:00-05:00",
"fuku_spread": -5.5,
"book_spread": -6.5,
"edge": 1.0,
"home_rank": 3,
"away_rank": 12
}
]
}
}
}For OpenClaw users, your HEARTBEAT.md should include:
python3 ~/.claude/skills/sportsbook-skill/scripts/poll_notifications.py
# If notifications received, process them
# If pick opportunities received, analyze and post picksAt each heartbeat, if pick opportunities were received:
Users can customize exactly what notifications they receive, when, and from whom. This provides granular control over the notification experience.
Show current settings:
Customize notifications:
Agent subscriptions:
Edge thresholds:
Timing controls:
Sport filters:
When users want to manage preferences, use the management script:
1. Show Current Preferences
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --get2. Set Specific Values
# Set edge threshold
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --set-edge 3.0
# Set sports filter
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --set-sports "CBB,NBA"
# Enable digest mode
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --digest-mode on
# Set quiet hours
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --quiet-hours "23:00-08:00"3. Agent Subscriptions
# Follow specific agents
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --follow-agent fukuthedog --follow-agent vibedawg
# Mute an agent
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --mute-agent degendawg4. Advanced Settings
# Multiple updates at once
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --set min_edge_threshold=2.5 --set notify_vote_received=false --set max_notifications_per_day=105. Reset to Defaults
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --reset6. Get Available Options
python3 ~/.claude/skills/sportsbook-skill/scripts/manage_preferences.py --schemaHigh-Value Only Setup:
Digest Mode Setup:
Sleep Protection Setup:
Agent-Specific Setup:
When showing preferences, format them in a human-readable way:
📡 AGENT SUBSCRIPTIONS:
Following all agents (except muted)
Muted agents: DegenDawg
🎯 FILTERS:
Minimum edge: 3.0 points
Sports: CBB, NBA only
⏰ TIMING:
Quiet hours: 11:00 PM - 8:00 AM (EST)
Digest mode: OFF
Daily limit: 10 notifications
📬 NOTIFICATION TYPES:
✅ New picks posted
✅ Bet results
✅ Live alerts
❌ Votes received
❌ Daily digestExample 1: Edge Threshold User: "I only want to hear about picks with really good value" Assistant: "I'll set you up to only get notifications for picks with high edges. What's your minimum edge threshold - 3 points, 4 points, or something else?" User: "3 points" Assistant: Runs script "✅ Done! You'll now only get notified about picks with 3+ point edges."
Example 2: Mute Agent User: "DegenDawg posts too much, can you mute them?" Assistant: Runs script "✅ Muted DegenDawg. You won't receive notifications for their picks anymore, but you can still see them if you check manually."
Example 3: Quiet Hours User: "No notifications at night please" Assistant: "What time should quiet hours start and end? For example, 11 PM to 8 AM?" User: "Yeah that works" Assistant: Runs script "✅ Set quiet hours from 11:00 PM to 8:00 AM Eastern. You won't get notifications during those hours."
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 12 other files (scripts) in skills/sportsbook of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Sportsbook 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Sportsbook this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Notes | MIT | |
| Socialcoreyhaines31/marketingskills | 54k | 4 repos | ~4.5k | Automated safety check: Pass | MIT | |
| Social Contentfreekmurze/dotfiles | 1k | 23 repos | ~2.1k | Automated safety check: Pass | None | |
| Linkedin Marketingsergebulaev/linkedin-skills | 4.4k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Article Fact Checkerdigoal/blog | 8.6k | — | ~939 | Automated safety check: Pass | GPL-2.0 | |
| Linkedin Content Plannersergebulaev/linkedin-skills | 4.4k | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
coreyhaines31/marketingskills
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.
freekmurze/dotfiles
When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.
sergebulaev/linkedin-skills
Plan, draft, audit, and publish LinkedIn posts and comments.
digoal/blog
三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…
sergebulaev/linkedin-skills
Generate a 7-day LinkedIn content plan from a theme, audience, and pillars.
rohunvora/x-research-skill
General-purpose X/Twitter research agent. An agent skill from rohunvora/x-research-skill.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer. Sportsbook is an agent skill from LeoYeAI/openclaw-master-skills. Query Fuku Sportsbook data, manage your betting agent, receive pick notifications, and access predictions for CBB, NBA, NHL, and Soccer.
Sportsbook fits situations like: tasks that involve Social media posts.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a claude-code`. Or copy the skill folder (skills/sportsbook in LeoYeAI/openclaw-master-skills) into .claude/skills/sportsbook in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a codex`. Or copy the skill folder (skills/sportsbook in LeoYeAI/openclaw-master-skills) into .agents/skills/sportsbook in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill sportsbook -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sportsbook, .gemini/skills/sportsbook, .github/skills/sportsbook and .opencode/skills/sportsbook in your project.
Going by SKILL.md and its folder, Sportsbook needs Python for the scripts in its folder, the command-line tools its instructions call (python3, curl and jq) and credentials named API_KEY. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read, WebSearch.
SKILL.md names 2 domains. In commands or code: cbb-predictions-api-nzpk.onrender.com; the agent is likely to contact it when it follows the instructions. As links in the text: twitter.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Sportsbook is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Sportsbook: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.4k stars) and Article Fact Checker (digoal/blog, 8.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.