The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Direct Solana blockchain interaction via JSON-RPC — account lookups, token balances, transaction submission, and program queries
Solana transaction construction including instruction building, account resolution, compute budget, priority fees, and versioned transactions
Solana token data, PnL, risk scores, 1-second OHLCV, wallet analytics, and self-hosted swap execution via Raptor
Standardized template for defining trading strategies with entry rules, exit rules, position sizing, risk parameters, and performance criteria
Real-time tax liability analysis for active crypto traders with proportional cost basis, gain classification, and tax-aware trading signals
Coordinated wallet cluster detection, wash trading identification, and fake activity analysis for Solana tokens
C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib
Token supply dynamics, vesting analysis, inflation modeling, and valuation frameworks for crypto tokens
Tax-loss harvesting opportunity identification, scoring, and planning with wash sale compliance and annual carryforward tracking
Token holder distribution, concentration metrics, insider detection, and supply analysis for Solana tokens
Double-entry bookkeeping for trading operations with ledger management, P&L statements, balance sheets, and cash flow reporting
Structured trade logging, performance review, behavioral pattern detection, and strategy attribution for systematic improvement
Wash sale detection under 2025 US crypto rules with 61-day window monitoring, disallowed loss tracking, and safe re-entry countdown
Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions
Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation
Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics
Behavioral classification, performance analysis, and trading style detection for Solana wallets
Large wallet monitoring, accumulation and distribution detection, and smart money signal generation for Solana tokens
Real-time Solana transaction and account streaming via Yellowstone gRPC (Geyser plugin)
DeFi yield evaluation including fee APR, real vs nominal yield, net APY after costs, and yield sustainability analysis
Analyze Chinese notes, articles, manuscripts, and digital card-box material with FIRE 2.0: Full-D numbering, Index keyword webs, Route thinking paths, and Evolution over time. Use when Codex needs to prepare material for semantic search, turn temporary notes into permanent or project notes, build table-of-contents/index/search structures, create compact Chinese FIRE cards, or maintain this skill's original discussion thread provenance.
Create companion Codex workflows from book chapters, reader exercises, prompts, field notes, and teaching material. Use when Codex needs to turn a chapter excerpt, 書籍練習, AI 提示詞, worksheet, or author note into a reusable Skill-style workflow, GitHub-shareable companion artifact, or book link resource for readers.
Convert EPUB card books into Obsidian-ready HyperCard Markdown folders and portable zip files. Use when Codex needs to turn an EPUB with XHTML chapters, table-of-contents cards, keyword index cards, backlinks, Luhmann/Zettelkasten numbers, or cross-links into one Markdown file per card with verified relative links, keyword cards, previous/home/next navigation, and GitHub/shareable zip output.
Convert FIRE analysis cards, Chinese knowledge notes, or project-note JSON into validated EPUB books with directory cards, chapter cards, keyword index cards, backlinks, and GitHub-shareable ebook assets. Use when Codex needs to teach or automate the path from `fire-analysis-card` outputs to `project-note-json-to-epub` style EPUB files, including sample JSON manuscripts and attached `.epub` deliverables.
Assign, validate, normalize, and explain Luhmann/Zettelkasten-style project-note codes for Chinese book manuscripts, Obsidian Markdown folders, Mandala-Grid section files, HyperCard Markdown stacks, and project-note JSON to EPUB workflows. Use when Codex needs to scan folders for 部/章/節/項/目 numbering, generate stable card ids, insert branch codes without renumbering existing notes, map letter-coded branches to Obsidian Mandala sections, preserve K### keyword index cards, sanitize private catalogs into public examples, or prepare card IDs for EPUB and HyperCard output.
Compress answers to the highest practical information density with minimal wording while preserving essential meaning. Use when the user asks for 言簡意賅, 講重點, Concise, 精簡回答, 簡潔回答, 只講重點, 直接回答, brief, TL;DR, or otherwise requests a concise key-points response.
Create Fantastical calendar events and reminders from Codex on macOS. Use when the user asks Codex to add, schedule, parse, preview, or send a meeting, appointment, task, reminder, time block, daily plan item, 行事曆, 日曆, 會議, 待辦, or 提醒 into Fantastical.
Use A4 Eight Page Booklet 2.2 to create, write, repair, impose, and validate a printable A4 one-sheet eight-page mini book or zine from text, notes, images, BIRD Graph JSON, iMandalArt/九宮, FIRE, outlines, templates, or PDFs. Use whenever the user says A4八頁小書, 八頁小書, 八頁小冊, 八格小書, A4一張八頁, 八頁在一頁, 8頁在一頁, 八張一頁, 一張紙變八頁, 摺頁書, 折頁小書, 迷你書, 小誌, zine, mini zine, booklet, 做成小書, 印成小書, 單張印出八頁, 幫我拼版, 八頁PDF, 合併八頁, 6-7-8-1/5-4-3-2排列, or asks for eight upright page PDFs, an eight-page reading PDF, an editable DOCX, or a correctly rotated A4 landscape print sheet.
Create Chinese monospaced compass-style PDCA or CAPD problem-solving cards using East-West-South-North-Center layout, full-width and half-width spaces, diagonal Unicode arrows, and strict Chinese character limits. Use when Codex needs to turn a problem, incident, decision tradeoff, root-cause analysis, improvement cycle, or CAPD/PDCA workflow into a square text diagram, Hermes/Discord-ready card, or Chinese 方位九宮圖 with center ◎, north Plan, east Do, south Check, west Action, and four diagonal transition arrows.
Create iMandalArt 2.2 pure-text 3x3 Mandala index cards with a five-character center axis, eight orthogonal surrounding angles labeled Ⓐ-Ⓗ, compact title cells such as Ⓐ健康復節, hard-line CJK layout, optional の字型 ordering, and 井字號 compass ordering. Use when the user asks for iMandalArt, iMandalart, I MandalArt, の字型, ◊字型, 井字號, 中國城市方位, 64+8+1, 手機方形曼陀羅, 正方形九宮索引卡, 五字定格, ◎中心, Ⓐ-Ⓗ 九宮卡, TheBrain/Cerebro preview-safe hard-line cards, or a square 3x3 card that is not a Markdown table, visible-border PE2 card, or 81-cell Mandala.
Create narrow iMessage/PTT Border-Light HyperCard style nine-grid cards in Chinese or mixed Chinese-English. Use when the user says "iMessage 九宮 HyperCard", "iMessage 九宮", "做成 iMessage 九宮", "用 iMessage 九宮 HyperCard 整理", asks for a phone-readable short card with Context below, or wants Mandala/九宮/HyperCard content formatted for blue-bubble/iMessage sharing with long links, paths, and rules moved out of the card.
Convert Chinese or mixed-language text, iMandalArt cards, Obsidian 九宮, 表格, Mandala notes, or eight-domain outlines into a Markdown 3x3 nine-grid table with an ◎ center, then copy, save, append, or hand it to apps that render Markdown tables such as Obsidian and AIDA. Use when the user asks for Markdown 九宮格, Obsidian 九宮, Markdown table 九宮, 曼陀羅表格, nine-grid clipboard, AIDA table output, or conversion between Markdown 九宮, iMandalArt, and 81-grid workflows.
Convert structured project-note JSON manuscripts into validated EPUB and optional Kindle-clickable PDF files. Use when the user asks to turn project notes, book-system JSON, FIRE-indexed notes, Luhmann/Zettelkasten numbered chunks, table-of-contents cards, index cards, cross-linked project notes, or manuscript JSON into an EPUB/PDF with chapter directories, keyword index cards, weighted links, bidirectional backlinks, versioned filenames, chapter-splitting plans, and full link testing.
Create a personal athlete 81-cell MandalArt grid from an Ohtani Shohei-style 64+8+1 model. Use when the user asks for 大谷翔平 81 宮格, 個人運動員81宮格, sports skill maps, athlete training Mandala charts, badminton 81 grids, or editable JSON/SVG/PNG-ready athlete development templates with Ohtani-style colors.
Render Obsidian-style weighted graph views from book JSON, keyword indexes, TOCs, card data, or node-link data. Use when the user asks for Obsidian graph view, graph view png, weighted graph, keyword graph, directory-keyword graph, spherical graph visualization, or high-weight nodes centered with clear Chinese labels.
Extract exactly 8 context-sensitive keywords from Chinese, English, or mixed text and turn them into a distributed weighted Graph View with no center goal node. Use when Codex needs keyword extraction, blacklist filtering, co-occurrence edges, node definitions/notes, weighted graph JSON, or an online Graph View tool for text analysis.
Use BIRD Book Deconstructor 2.2 to apply the formal BIRD 2.1 Knowledge Address protocol to complex manuscript text and TheBrain Thoughts. Use when splitting books into chapter/section/item knowledge nodes, assigning Book Address, structured Knowledge Index (Weight, Type, Keyword, Alias), Routes, verified Deep Links, and Semantic Roles; producing BIRD Excel workbooks, TheBrain scaffolds, Roam JSON, monochrome printable double nine-grid cards, or a routed handoff from iMandalArt to A4 eight-page booklets; or auditing and migrating existing BIRD/TheBrain indexes.
Write spoken daily planning notes into an Obsidian Mandala Grid day-plan Markdown file. Use when the user says 今日的日計畫, 今日的日計劃, 日計畫, 日計劃, 青蛙, frog, 🐸, 九宮, 曼陀羅, Mandala Grid, 時段, time block, 日記, or asks to place spoken tasks/events/reflections into today's Obsidian daily plan sections.
Reverse weekly review for turning inbox noise, daily plans, diaries, calendars, annual plans, and long-range life plans into one happiness-and-peace-centered weekly plan. Use when the user asks for 週檢視, 反向週計劃, 8 Big Rocks, Inbox Zero weekly review, 幸福寧靜週, or wants to synthesize Todoist/inbox notes, daily diaries, calendars, yearly plans, and life plans into iMandalArt/FIRE/JSON outputs.
> Data-backed email marketing skill for AI agents. Use when building or running email automation, driving an ESP from an agent (MCP/connectors), diagnosing deliverability, writing or de-slopping email copy, designing emails, choosing a platform, or pulling benchmarks. Covers AI email automation, flows, deliverability, copywriting, segmentation, compliance, cold email, WhatsApp, SMS and RCS, and 19 industry playbooks.
Aqua is a CLI-first message tool for AI agents. Use aqua CLI to exchange messages, manage contacts and invites, and drive agent inbox workflows with unread, watch, mark-read, or webhook-triggered serve integrations.
Make every number in the final PDF traceable to the exact code line that produced it. Uses \hypertarget/\hyperlink LaTeX commands and \num{formula} evaluated at compile time. Use for reproducibility and data integrity verification.
Conduct systematic academic literature reviews in 6 phases, producing structured notes, a curated paper database, and a synthesized final report. Output is organized by phase for clarity.
Generate statistical analysis code with 4-round review. Select appropriate statistical tests, interpret results, and produce analysis reports with p-values, effect sizes, and confidence intervals. Use when analyzing experimental data for a paper.
Manage BibTeX citations for LaTeX papers. Harvest missing citations from a draft using Semantic Scholar, validate cite keys against .bib files, deduplicate entries, and format bibliography. Use when working with references, BibTeX, or citations.
Programmatic canvas toolkit for creating, editing, and refining Excalidraw diagrams via MCP tools with real-time canvas sync. Use when an agent needs to (1) draw or lay out diagrams on a live canvas, (2) iteratively refine diagrams using describe_scene and get_canvas_screenshot to see its own work, (3) export/import .excalidraw files or PNG/SVG images, (4) save/restore canvas snapshots, (5) convert Mermaid to Excalidraw, or (6) perform element-level CRUD, alignment, distribution, grouping, duplication, and locking. Requires a running canvas server (EXPRESS_SERVER_URL, default http://localhost:3000).
Debug experiment code with structured error analysis. Categorize errors, apply targeted fixes with retry logic, and use reflection to prevent recurring issues. Use when experiment code fails or produces incorrect results.
Design algorithms with LaTeX pseudocode and UML diagrams. Generate algorithmic environments, Mermaid class/sequence diagrams, and ensure consistency between pseudocode and implementation. Use when formalizing methods for a paper.
Decompose research ideas into atomic, self-contained concepts with bidirectional math-code mapping. For each concept, extract the math formula from papers and find code implementations. Use for complex system papers requiring formal grounding.
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
Write ML experiment code with iterative improvement. Generate training/evaluation pipelines, debug errors, and optimize results through code reflection. Use when implementing experiments for a research paper.
Generate novel research ideas with iterative refinement and novelty checking against literature. Score ideas on Interestingness, Feasibility, and Novelty. Use when brainstorming research directions or validating idea novelty.
Handle LaTeX formatting, templates, and styling for academic papers. Set up conference templates (ICML, ICLR, NeurIPS, AAAI, ACL), fix formatting issues, manage packages, and ensure venue-specific compliance. Use when the user needs to set up a paper template, fix LaTeX formatting, or prepare for submission.
Generate publication-quality scientific figures using matplotlib/seaborn with a three-phase pipeline (query expansion, code generation with execution, VLM visual feedback). Handles bar charts, line plots, heatmaps, training curves, ablation plots, and more. Use when the user needs figures, plots, or visualizations for a paper.
Explore and analyze GitHub repositories related to a research topic. Reads deep-research output, discovers repos from multiple sources, deeply analyzes code, and produces integration blueprints.
Search academic literature using Semantic Scholar, arXiv, and OpenAlex APIs. Returns structured JSONL with title, authors, year, venue, abstract, citations, and BibTeX. Use when the user needs to find papers, check related work, or build a bibliography.
Conduct comprehensive literature reviews using multi-perspective dialogue simulation. Generate diverse expert personas, conduct grounded Q&A conversations, and synthesize findings into structured knowledge. Use when starting a new research project or writing a survey section.
Formal mathematical reasoning for research papers — derive equations, write proofs, formalize problem settings, select statistical tests, and generate LaTeX math notation. Use when the user needs mathematical derivations, theorem proofs, notation tables, or statistical analysis formalization.
Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
Answers built from the skills we actually parsed.