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Found 10,129 Skills
Early rug-risk triage for token launches and small DeFi deployments from public data—liquidity lock and pool events, dev and sniper wallet clustering, contract authority and transfer-risk checks, coordinated exits, and evidence-backed risk scores. Use when the user asks for rug pull detection, pump-and-dump signals, launch red flags, LP removal forensics, or cross-chain profit exit tracing—not for front-running trades, harassing teams, or certifying scams without on-chain proof.
Guides discovery and documentation of Solana DeFi protocol risks from public code and chain state—Anchor/native programs, PDAs, CPIs, oracles, pools, SPL mechanics, and historical tx reconstruction. Use when the user asks for Solana program security review, DeFi vulnerability triage, PDA or CPI safety, oracle or liquidity-pool risk, launchpad/bonding-curve issues, or evidence-backed severity findings without exploits or private keys.
Delegate coding, review, diagnosis, planning, structured output, and native browser research tasks to independent Codex sessions via Codex CLI. Use cases include creating new tasks with `codex exec`, resuming multi-turn sessions with `codex exec resume`, performing read-only reviews with `codex exec review`, as well as scenarios requiring `--json` event streams, `-o` final message persistence, image input, or Computer Use browser operations.
Interact with WhatsApp using Cloud API credentials - send messages, manage templates
Review and fix PR review bot findings on current PR, loop until resolved. Fetches unanswered bot comments, evaluates each finding, fixes real bugs, dismisses false positives, and replies to every comment with the outcome.
Production-grade UI/UX guidance and review skill. Transforms vague design feedback into actionable, implementable recommendations. Two modes: `guide` (principles + do/don't rules for modern interfaces) and `review` (structured audit with prioritized fixes). Covers task-first UX, information architecture, CRAP visual hierarchy, accessibility, responsive design, typography, color systems, cognitive psychology, and interaction patterns. Enforces a modern minimal aesthetic — clean, spacious, typography-led — with zero tolerance for emoji-as-icons, decoration-first design, or AI-generated visual excess.
Investigates completed DEX sandwich-style MEV from public blocks and bundles—front-victim-back ordering on EVM and Solana, Jito bundle traces, swap decoding, victim slippage vs searcher profit estimates, and evidence-style case studies. Use when the user asks for sandwich attack analysis, MEV sandwich post-mortems, high-slippage swap forensics, or searcher clustering—not for building sandwich bots, mempool manipulation for profit, or harassing labeled wallets.
Guides EVM Solidity DeFi triage from public verified source or bytecode—access control, proxies, oracle usage, reentrancy and CEI patterns, DEX/router integrations, and common vulnerability classes. Use when the user asks for Ethereum or L2 smart contract security review, Solidity audit triage, OpenZeppelin proxy risks, or EVM-specific DeFi patterns—not for live exploits or private keys.
Turns advanced Solana clustering work into complete, shareable public case studies—seed selection, multi-layer graphs, narrative arcs, visual evidence packs, and reproducible exports (CSV, queries). Use when the user wants a Solana rug/Sybil/sniper/phishing case study, X/thread writeup, educational fraud exposé from on-chain data, or timestamped evidence package built from clusters and heuristics.
Guides multi-chain wallet and entity clustering using public bridge traces, wrapped-asset flows, temporal and behavioral heuristics, unified graphs with chain-prefixed addresses, and confidence scoring. Use when the user asks for cross-chain clustering, bridge hop analysis, multichain scam or phishing infrastructure mapping, laundering-pattern education from observable flows, or Arkham/Nansen-style entity graphs—without claiming ground-truth identity from heuristics alone.
Interact with WeChat Official Account using API credentials - send messages, manage templates, list followers
Extract and structure personal context from AI chat transcripts into themed markdown files. Use when (1) Processing Claude, Claude Code, or other AI conversation exports, (2) Building personalized AI assistants from chat history, (3) Creating context files for Claude Projects, GPTs, or Gems, (4) Consolidating scattered knowledge from multiple conversations. Optimized for Claude Haiku.