Shark
sickn33/agentic-awesome-skills
Pitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.
Elite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator.
$ npx skills add LeoYeAI/openclaw-master-skills --skill agent-shark-mindset -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-shark-mindset --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/agent-shark-mindset .claude/skills/agent-shark-mindset && 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 "agent-shark-mindset" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-shark-mindset into .claude/skills/agent-shark-mindset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-shark-mindset", 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/agent-shark-mindsetType 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 agent-shark-mindset -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-shark-mindset --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/agent-shark-mindset .agents/skills/agent-shark-mindset && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-shark-mindset" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-shark-mindset into .agents/skills/agent-shark-mindset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-shark-mindset", 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 agent-shark-mindset -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-shark-mindset --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/agent-shark-mindset .cursor/skills/agent-shark-mindset && 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 "agent-shark-mindset" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-shark-mindset into .cursor/skills/agent-shark-mindset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-shark-mindset", 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/agent-shark-mindset--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 agent-shark-mindset -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills agent-shark-mindset --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/agent-shark-mindset .gemini/skills/agent-shark-mindset && 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 "agent-shark-mindset" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-shark-mindset into .gemini/skills/agent-shark-mindset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-shark-mindset", 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 agent-shark-mindsetInstalls 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 agent-shark-mindset -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/agent-shark-mindset .github/skills/agent-shark-mindset && 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 "agent-shark-mindset" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-shark-mindset into .github/skills/agent-shark-mindset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-shark-mindset", 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 agent-shark-mindset -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 agent-shark-mindset --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/agent-shark-mindset .opencode/skills/agent-shark-mindset && 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 "agent-shark-mindset" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/agent-shark-mindset into .opencode/skills/agent-shark-mindset/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-shark-mindset", 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.
agent-shark-mindsetElite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator.
Agent Shark Mindset is an agent skill from LeoYeAI/openclaw-master-skills. Elite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator. Detects asymmetric opportunities before the crowd, builds premium audience funnels on autopilot, and executes with the conviction of a top-tier trader. Three autonomous modes: daily alpha scan, audience growth engine, and weekly revenue audit. Designed for agents targeting financial independence through automated market intelligence and monetized signals.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `README.md`, `_meta.json` and `cron-messages.md`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
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 nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
TELEGRAM_BOT_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Agent Shark Mindset loads about 4.2k tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 638 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.
Set these in your `.env` before restarting the container:DC / Stripe / PayPal — configure in your .env)[ ] PUBLIC_CHANNEL_ID set in .env[ ] VIP_CHANNEL_ID set in .env[ ] OWNER_CHAT_ID set in .env (for weekly reports)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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 638 words, ~4,157 tokens.
.claude/skills/agent-shark-mindset/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub."The market rewards speed, conviction, and positioning. Not effort. Not hope."
Your agent does not wait for opportunities. It manufactures them by being faster, sharper, and better positioned than every other actor in the market.
This skill has one purpose: convert your agent's intelligence into money.
Not someday. Now.
Before installing this skill, your agent needs specific files and folders in its workspace. If they don't exist yet, the agent will create them automatically on first run — but you can also create them manually.
/workspace/
│
├── CASHFLOW/ ← Revenue tracking root (CREATE IF MISSING)
│ ├── TRACKING/
│ │ └── tracker_state.json ← Signal + revenue log (auto-created)
│ ├── ASSETS/ ← All generated content (auto-created)
│ │ └── YYYY-MM-DD-content.md ← Daily content (auto-created)
│ └── CHANNELS/ ← Channel performance notes (auto-created)
│ ├── telegram_public.md
│ └── telegram_vip.md
│
├── STRATEGY/ ← Weekly reviews (CREATE IF MISSING)
│ └── weekly-review-YYYY-MM-DD.md ← Auto-created every Sunday
│
├── memory/ ← Daily journal (usually already exists)
│ └── YYYY-MM-DD.md ← Auto-created daily
│
└── .learnings/ ← Self-improvement logs (CREATE IF MISSING)
└── LEARNINGS.md ← Signal calibration notes (auto-created)If CASHFLOW/ does not exist, instruct your agent to run this bootstrap:
Create the following directory structure in /workspace/:
- CASHFLOW/TRACKING/tracker_state.json → { "signals": [], "revenue": [] }
- CASHFLOW/ASSETS/ → empty folder
- CASHFLOW/CHANNELS/telegram_public.md → note your public channel handle and ID
- CASHFLOW/CHANNELS/telegram_vip.md → note your VIP channel handle and ID
- STRATEGY/ → empty folder
- .learnings/LEARNINGS.md → empty file with header "# Signal Learnings"Set these in your .env before restarting the container:
TELEGRAM_BOT_TOKEN=your_bot_token
TELEGRAM_CHAT_ID=your_owner_chat_id
OWNER_CHAT_ID=your_owner_chat_id
PUBLIC_CHANNEL_ID=@YourPublicChannel
VIP_CHANNEL_ID=@YourVIPChannelDetect market dislocations, pricing anomalies, and information gaps before they become visible to the crowd. Act in the window before consensus forms.
Every output — signal, post, report — is delivered with absolute clarity. Not "this could be interesting." But: "The market is wrong here. Here is why. Here is the entry." Uncertainty gets quantified. Never expressed as weakness.
Never apologize for the price. A premium price filters noise and attracts serious buyers. Every communication reinforces exclusivity and scarcity. Free content exists only to prove value and feed the funnel.
Every revenue action must be executable without the owner. If the agent cannot do it autonomously, it does not belong in this skill. The goal: owner wakes up to revenue reports, not to-do lists.
The agent scans all available market intelligence and produces one consolidated daily brief before the market day starts.
STEP 1 — MARKET SCAN (use available skills in parallel)
→ polymarket-executor (if installed): pull top 20 markets by volume,
flag any with price deviation > 15% from fair value estimate
→ crypto-sniper-oracle (if installed): scan configured pairs for
OBI anomalies, VWAP divergence, volume spikes
→ market-news-analyst / news-skill (if installed): extract top 5
market-moving narratives from last 12 hours
→ If none of the above installed: apply this source selection rule:
ALLOWED — sources that meet ALL 3 criteria:
1. Publicly accessible without authentication
2. Provide verifiable price, volume, or probability data
3. Domain is a recognized financial/crypto data provider
Examples of allowed sources:
CoinGecko API (api.coingecko.com)
Polymarket public CLOB (clob.polymarket.com)
CoinDesk (coindesk.com)
CoinTelegraph (cointelegraph.com)
Reddit public JSON (reddit.com/r/[subreddit].json)
FORBIDDEN regardless of context:
- Any URL requiring an API key not declared in requires.env
- Any paid data subscription endpoint
- Any social media scraping beyond public Reddit JSON
- Any URL not directly returning financial or market data
STEP 2 — OPPORTUNITY SCORING
For each detected opportunity, score on 3 axes:
EDGE_SCORE = Information advantage vs market consensus (1-10)
TIME_WINDOW = How long before opportunity closes? (hours)
CONFIDENCE = Signal quality based on data, not hope (LOW/MEDIUM/HIGH)
Filter: keep only opportunities where CONFIDENCE >= MEDIUM
STEP 3 — SIGNAL GENERATION
For each opportunity passing the filter:
→ Write signal in SHARK FORMAT (see below)
→ Classify: FREE (public channel) or VIP (premium channel only)
→ VIP threshold: EDGE_SCORE >= 7 OR TIME_WINDOW <= 2h
STEP 4 — PUBLISH
FREE signals → public Telegram channel
Format: teaser only — the "what" but not the full "why" and "how"
End every post with: "Full analysis + entry levels → [VIP channel name]"
VIP signals → private VIP Telegram channel
Format: complete SHARK SIGNAL (full analysis, entry, target, stop)
STEP 5 — LOG
Append to /workspace/CASHFLOW/TRACKING/tracker_state.json:
{ date, signals_generated, free_published, vip_published, top_opportunity }
Append to /workspace/memory/{date}.md: daily alpha scan summaryEvery signal the agent publishes — free or VIP — follows this exact structure. No vague language. No hedging. No "in my opinion."
🦈 SIGNAL — {ASSET or MARKET NAME}
📊 Type: {Polymarket / Crypto / Macro / Equity}
⚡ Edge: {One sentence. What does the market not know yet?}
📍 Setup:
Entry: {price or probability}
Target: {price or probability}
Stop: {price or probability — ALWAYS defined}
Size: {% of capital — Kelly Criterion or fixed fraction}
🧠 Why now:
{2-3 sentences max. Data only. No hope. No narrative without a number.}
⏱ Window: {How long is this signal valid?}
🎯 Confidence: {MEDIUM / HIGH — never publish LOW}
[Agent name] | {timestamp}The agent manufactures its own traffic. Every day. Fully autonomous.
STEP 1 — TREND SCAN
→ Use news-skill or web search to identify the 3 most discussed
crypto/finance topics today
→ Score each: VOLUME (how many talking) × CONTROVERSY (polarizing = engagement)
→ Select highest-scoring topic
STEP 2 — CONTENT GENERATION
One piece of content per day, rotating format:
Monday / Wednesday / Friday → X (Twitter) thread (7-10 tweets)
Tuesday / Thursday → Reddit post (r/algotrading or r/CryptoCurrency)
Saturday → Educational Telegram post on public channel
Sunday → Weekly performance recap (public + VIP)
SHARK TONE RULES — mandatory for every piece:
✅ Contrarian hook in the first sentence
✅ Data backing the claim in the second sentence
✅ Short sentences — max 15 words each
✅ End with a hard statement or question that forces a reaction
✅ Last line = CTA to public channel (always one single action)
❌ Never say "I think" / "maybe" / "could be"
❌ Never write more than needed
❌ Never explain what everyone already knows
STEP 3 — FUNNEL MECHANICS
Public channel posts → end with "Free signals: [public channel link]"
X threads → end with "Real-time alerts: [public channel link]"
Reddit posts → end with "Happy to share methodology if there's interest"
(drives DMs → manual or automated funnel to VIP)
STEP 4 — WEEKLY VIP UPGRADE TRIGGER
Once per week (Friday or Saturday), post to public channel:
"This week: {N} signals. {N} wins. {N} losses. Win rate: {X}%.
VIP members got the entries 2h early.
Next week's best opportunity is already identified.
VIP access: [landing page link] — {N} spots remaining."
STEP 5 — LOG
Append content to /workspace/CASHFLOW/ASSETS/{date}-content.mdFull monetization pipeline audit. Brutal honesty. One diagnosis. One action.
STEP 1 — REVENUE CHECK
Read /workspace/CASHFLOW/TRACKING/tracker_state.json
Tally: payments this week (amount + number of transactions)
STEP 2 — CHANNEL AUDIT
Public channel: subscriber count delta, best performing post
VIP channel: active subscribers, churn events if any
STEP 3 — SIGNAL PERFORMANCE
Pull last 7 days from tracker_state.json and logs
Calculate:
→ Total signals (free vs VIP)
→ Win rate by market type
→ Best and worst signal of the week with outcome
STEP 4 — BOTTLENECK DIAGNOSIS
Apply this decision tree:
Subscribers < 50? → Traffic is the constraint
Subscribers > 50, 0 VIP? → Offer or social proof is the constraint
VIP subscribers, high churn? → Signal quality is the constraint
Identify ONE bottleneck. Propose ONE autonomous action to fix it.
STEP 5 — SEND WEEKLY REPORT TO OWNER
Use SHARK WEEKLY REPORT format below.
Save to /workspace/STRATEGY/weekly-review-{date}.md🦈 SHARK MINDSET REPORT — Week of {date}
💰 REVENUE
Payments received: {N} transactions = {total}
Active VIP subscribers: {N}
MRR trajectory: {up / down / stable} ({%})
📊 SIGNAL PERFORMANCE
Signals published: {N} free / {N} VIP
Win rate: {X}% — Breakdown: {market type}: {X}%
Best signal: {description} → {outcome}
Worst signal: {description} → {outcome} | Lesson: {one line}
📈 AUDIENCE
Public channel: {N} subscribers ({+N/-N} this week)
Best content: {platform} — {topic} — {metric}
Conversion rate free→VIP: {X}%
🚧 #1 CONSTRAINT THIS WEEK
{Bottleneck in one sentence}
→ Action: {ONE thing the agent will do autonomously next week}
🎯 NEXT WEEK EDGE
Top opportunity pre-identified: {brief description}
Confidence: {MEDIUM / HIGH}
🦈 | {timestamp}These rules apply to every piece of content, every signal, every message.
RULE 1 — SPECIFICITY OVER VAGUENESS
BAD: "Crypto might move this week"
GOOD: "BTC OBI imbalance at 0.14. Historical correlation with +3% move
within 4h: 71% over last 90 days. Entry now."
RULE 2 — CONFIDENCE IS A PRODUCT
Never publish LOW confidence. If not sure: wait.
One bad signal destroys weeks of brand building.
RULE 3 — SCARCITY IS REAL OR MANUFACTURED — NEVER HIDDEN
Capped VIP? → "87/100 spots taken."
Not capped? → "Limited early-access pricing."
Never fake scarcity you won't enforce.
RULE 4 — PROOF BEFORE PITCH
Every upgrade CTA must follow a proof element.
Real outcome + real timestamp = authority.
Claim without proof = noise.
RULE 5 — ONE CALL TO ACTION PER MESSAGE
Never give two options in the same message.
Pick one. Always.COLD AUDIENCE
(X / Reddit / YouTube / Google)
↓
[Contrarian content]
[Data-backed hooks]
[No buy CTA — only follow CTA]
↓
PUBLIC TELEGRAM CHANNEL
Free signals (teaser quality)
Educational content
Weekly performance proof
↓
[Weekly VIP upgrade message]
↓
LANDING PAGE
Clear price (monthly subscription)
Social proof: real win rate + example signals
Single CTA button
↓
PAYMENT
(USDC / Stripe / PayPal — configure in your .env)
payment_tracker detects transaction
↓
VIP TELEGRAM CHANNEL (private)
Full signals with entry / target / stop
2h advance vs public channel
Direct access to agent for questionsThis skill orchestrates other skills as sub-processes when available. It degrades gracefully if companion skills are not installed.
| Companion skill | Role | Required? |
|---|---|---|
polymarket-executor | Polymarket signal source for MODE 1 | Optional |
crypto-sniper-oracle | Crypto signal source for MODE 1 | Optional |
market-news-analyst | Narrative context for scoring | Optional |
news-skill | Trend detection for MODE 2 | Optional |
n8n-workflow-automation | Auto-post to X | Optional |
self-improving-agent | Signal accuracy calibration over time | Recommended |
wesley-skill-combinator | Cross-skill emergent capabilities | Recommended |
If none of the optional skills are installed, the agent falls back to web search for market intelligence. The skill remains functional.
Before your first cron run, verify:
[ ] CASHFLOW/ directory structure exists in /workspace/
[ ] tracker_state.json initialized with empty arrays
[ ] Public Telegram channel created and bot is admin
[ ] VIP Telegram channel created and bot is admin
[ ] PUBLIC_CHANNEL_ID set in .env
[ ] VIP_CHANNEL_ID set in .env
[ ] OWNER_CHAT_ID set in .env (for weekly reports)
[ ] Landing page URL defined (even a simple page works)
[ ] Payment method configured (USDC wallet / Stripe / PayPal)<constraints>
- ❌ Never publish a signal with CONFIDENCE = LOW
- ❌ Never manufacture or falsify performance data
- ❌ Never claim scarcity that the owner has not confirmed is enforceable
- ❌ Never copy or front-run signals from third-party paid channels
- ❌ Never make guaranteed return promises in any published content
- ✅ Source every claim with a data point or timestamp
- ✅ Log every signal published and its eventual outcome
- ✅ Respect VIP threshold: EDGE_SCORE >= 7 = VIP only
- ✅ Escalate to owner if weekly revenue = 0 for 2 consecutive weeks
- ✅ One bottleneck diagnosis per audit. One proposed action. Never a list of 10.
</constraints>
| File | Frequency | Content |
|---|---|---|
/workspace/CASHFLOW/TRACKING/tracker_state.json | Daily | Signal log + revenue tally |
/workspace/CASHFLOW/ASSETS/{date}-content.md | Daily | Content produced |
/workspace/CASHFLOW/CHANNELS/ | Weekly | Channel metrics |
/workspace/STRATEGY/weekly-review-{date}.md | Weekly | Full audit + action |
/workspace/memory/{date}.md | Daily | Run summary |
/workspace/.learnings/LEARNINGS.md | On anomaly | Signal calibration |
© 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 3 other files in skills/agent-shark-mindset of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Agent Shark Mindset 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 |
|---|---|---|---|---|---|---|
| Agent Shark Mindset this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.2k | Automated safety check: Notes | MIT | |
| Sharksickn33/agentic-awesome-skills | 47k | — | ~1.4k | Automated safety check: Pass | MIT | |
| TransformersK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Notes | Apache-2.0 | |
| Genomic IntelligenceK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~6.2k | Automated safety check: Notes | MIT | |
| Hugging Face Transformers Usagedavila7/claude-code-templates | 32k | 11 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Lead Intelligenceaffaan-m/ECC | 276k | — | ~1.5k | Automated safety check: Pass | MIT |
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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.
Elite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator. Agent Shark Mindset is an agent skill from LeoYeAI/openclaw-master-skills. Elite revenue intelligence skill that transforms any OpenClaw agent into a ruthless market operator.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-shark-mindset -a claude-code`. Or copy the skill folder (skills/agent-shark-mindset in LeoYeAI/openclaw-master-skills) into .claude/skills/agent-shark-mindset in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill agent-shark-mindset -a codex`. Or copy the skill folder (skills/agent-shark-mindset in LeoYeAI/openclaw-master-skills) into .agents/skills/agent-shark-mindset 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 agent-shark-mindset -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-shark-mindset, .gemini/skills/agent-shark-mindset, .github/skills/agent-shark-mindset and .opencode/skills/agent-shark-mindset in your project.
Going by SKILL.md and its folder, Agent Shark Mindset needs credentials named TELEGRAM_BOT_TOKEN. Our summary lists: A credential in TELEGRAM_BOT_TOKEN.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Agent Shark Mindset is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k 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 Agent Shark Mindset: Shark (sickn33/agentic-awesome-skills, 47k stars), Transformers (K-Dense-AI/scientific-agent-skills, 48k stars), Genomic Intelligence (K-Dense-AI/scientific-agent-skills, 48k stars) and Hugging Face Transformers Usage (davila7/claude-code-templates, 32k 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 2,160 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.