2.7K skills · sorted by relevance
Research individual crypto tokens by name, symbol or contract address. Retrieve official links and creator details, current prices, trading volume, holder counts and liquidity, plus candlestick data showing price movements over a chosen interval.
Review GitHub Actions workflows for unsafe input handling, excessive token permissions, exposed secrets, and changeable action references. Get findings grouped by issue type, with severity ratings, exact YAML locations, and concrete fixes to review.
Analyze scheduled token releases, their recipients, and trading volume to estimate potential selling pressure. Review project treasury holdings, operating runway, and token supply growth to assess funding sustainability and the effect of dilution on staking yields.
Review EVM and Solana meme coins for hidden minting, blocked sales, adjustable fees, and liquidity withdrawal risks. The skill guides source checks and on-chain verification to identify privileged controls that could enable a rug pull.
Access security tokens and smart cards using CryptoTokenKit. Use when building TKTokenDriver or TKSmartCardTokenDriver extensions, communicating with smart cards via TKSmartCard/TKSmartCardSlotManager, using iOS 26+ NFC smart-card sessions, registering smart cards, querying token-backed keychain items with kSecAttrTokenID, monitoring TKTokenWatcher, or configuring certificate-based smart-card authentication.
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Tokenizadores rápidos otimizados para pesquisa e produção. Implementação em Rust que tokeniza 1GB em menos de 20 segundos. Suporta algoritmos BPE, WordPiece e Unigram. Treine vocabulários customizados, rastreie alinhamentos, gerencie padding/truncagem. Integração perfeita com transformers. Use quando precisar de tokenização de alto desempenho ou treinamento de tokenizadores customizados.
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Access security tokens and smart cards using CryptoTokenKit. Use when building token driver extensions with TKTokenDriver and TKToken, communicating with smart cards via TKSmartCard, implementing certificate-based authentication, managing token sessions, or integrating hardware security tokens with the system keychain.
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Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
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Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
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Collect design tokens—reusable values for colors, typography, spacing, corners, and shadows—from source code, screenshots, or Figma exports. Organize them in a JSON file with source and usage references for later mapping to a design system.
Set up a Telegram bot channel for reaching the assistant. Save or remove the bot token, inspect configuration and pending access requests, and get guidance on limiting contact to an approved list of senders.
Trace how JWT, JWS, and JWE tokens become accepted identities or privileges in a CTF sandbox. Examine headers, key selection, and claims, the token's attributes, then preserve a minimal reproducible path demonstrating validation confusion.
Simulate device-code and app-consent phishing in an explicitly authorized Microsoft Entra ID environment. Assess whether authentication and consent controls prevent token misuse, map reachable Microsoft 365 resources, and document findings with remediation recommendations.
Build text tokenizers that split multilingual text into small units for AI models. Learn how to train SentencePiece on raw text, configure BPE or Unigram splitting methods, and convert text to token IDs and back.
Deploy and manage Vercel projects using access tokens instead of interactive login. Covers selecting the right project and team, preview deployments, environment variables, domains, and checking deployment status and logs.
Build text tokenizers, which split text into units for AI models, directly from raw multilingual text. Learn custom vocabularies with BPE or Unigram, convert text to pieces or numeric IDs, and decode the results.
Handle Jupiter verification requests for Solana tokens by checking eligibility, preparing and executing the payment transaction, and submitting verification or token information updates according to the permissions returned by the public API.
Create and distribute NFTs and tokens on Solana, or register blockchain identities for agents. The skill guides selection of Metaplex tools and explains when to use its command-line interface or SDKs, libraries for writing application code.
Test whether an application accepts forged JWTs, signed tokens that carry identity and role information. The skill covers signature bypasses, algorithm confusion, and untrusted keys, then guides verification of access to another user's data or protected functions.
Set up or run the token build pipeline — transform the DTCG tokens/*.json (source of truth) into platform artifacts (CSS variables, Tailwind @theme, JS/TS, iOS Asset Catalog, Android, Compose) with Style Dictionary / Tokens Studio / W3C DTCG export. Use when the user wants to generate platform theme files from tokens, wire token CI, or multi-platform token output.
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Cut token usage across the whole session without losing correctness or substance — concise user replies, lean tests/docs/plans/comments, tight code, disciplined context and tool use, and cheap sub-agent delegation. Load when the user wants less verbosity, lower cost, fewer tokens, or a "token diet" / "lean mode"; also triggered by /token-diet or "token diet on".
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Generate archetype-driven semantic design tokens (colors, typography, spacing, radius, motion, elevation) that don't look vibecoded. Hard-bans Tailwind-default palettes, Inter-only typography, and purple→pink gradients unless the chosen archetype explicitly demands them. Load when the user asks to generate design tokens, create a design system, set up CSS custom properties, build a token scale, design a color system, set up typography scale, or when frontend-design routes here during token generation. Also triggers on "design tokens for", "token system", "CSS variables for design", "set up a theme", "build a design system foundation". Sub-skill of frontend-design. Always reads ARCHETYPE.md first.
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Prepare text for language models by splitting it into tokens, small units represented by numbers. The skill covers batch processing, training custom vocabularies, tracking positions in the original text, and adjusting input lengths.
Organize colors, spacing, and typography into reusable design tokens, or shared style values. Generate CSS variables, define component states, check for hardcoded values, and create HTML presentations that follow the same brand rules.