Claude Skills
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. 80 149 files from 1 774 authors, of which 62 489 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.
Use when the user asks about fees, slippage, maker vs taker, post-only orders, fee tiers, fee optimization, why my strategy is losing more than backtest, builder code fee, effective spread, order pricing, or wants to lower trading costs on a Hyperliquid Freqtrade deployment. Also use proactively when the user designs a high-turnover strategy (5m or faster, tight ROI < 0.5%) — fees often dominate edge there.
Use when the user asks "what's hot", "what's moving", "any alpha", "show me squeeze setups", "what's the setup on ETH", "is SOL coiled", "should I deploy NEAR" or any market-scan / single-pair-drilldown question. Surfaces Superior Trade's live multi-bucket scoring across Hyperliquid alts + HIP-3 (stocks/indices/commodities/FX) — Squeeze fuel, Stealth accumulation, Coiled spring, Basis flipping. The engine picks the strongest timeframe (15m/1h/4h/24h) per pair per bucket; you don't pick one. Pairs in to the existing strategy → backtest → deployment workflow at api.superior.trade.
Use when a user wants to fund or bridge from an external wallet through a third-party UI such as Relay, especially when asking for MetaMask Mobile QR codes, bridge links, prefilled deposit URLs, Robinhood Chain USDG, or avoiding high-fee transaction QR mistakes.
Use when creating, validating, backtesting, deploying, sizing, or troubleshooting Aerodrome/Base spot trading strategies through the Superior Trade API, especially Freqtrade configs using exchange.name "aerodrome", AERO/USDC or CHECK/USDC pairs, AMM market swaps, wallet/gas balance checks, no-orderbook pricing, or Aerodrome live deployment safety.
Use when running, interpreting, or designing backtests on Superior Trade — anything about backtest windows, trade-count thresholds, exit-reason mix, parameter sweeps, walk-forward validation, zero-trade diagnosis, compute-cost estimation, or "is this backtest result trustworthy?". Pair with the relevant strategy template from `strategies/`.
Backtest and deploy trading strategies on Superior Trade's managed cloud.
Request and use a Superior Trade API key for https://api.superior.trade. Use when an agent needs to onboard a user by email, request an API key with POST /auth/sign-in/magic-link, set up x-api-key authentication, or recover from missing/invalid Superior Trade credentials (401/403) before backtesting or deploying a strategy.
Structured pre-trade thesis builder — bull/bear cases, invalidation criteria, and sizing rationale before any live deployment. Read this page when a user proposes a trade idea, says 'should I trade X', asks for a bull/bear case, wants a pre-trade analysis, or before the agent deploys a new strategy live for the first time.
Use when adding a regime filter to any directional strategy on Superior Trade — anything described as regime gate, trend filter, directional confirmation, ADX gate, EMA-separation filter, trade-or-skip overlay. Provides three reusable building blocks (regime_strong_bear, regime_strong_bull, regime_range) that wrap entry signals with triple-confirmation (EMA separation + ADX + N-bar return). Validated as the difference between fragile and robust trend strategies — fewer trades, cleaner equity curve.
Use when writing a symmetric Bollinger-band mean-reversion strategy on the 4h timeframe — anything described as BB reverter, range trader, chop strategy, ADX-gated mean reversion, band-fade with ROI ladder. Long-or-short on 2σ band touches with RSI confirmation, gated to ADX<25 range regimes. Validated +8.77%/65.5% win across BTC/ETH/SOL/DOGE over 162d; depends entirely on its minimal_roi ladder (2.5% → 1.5% → 0.5% → breakeven). Pairs with donchian-strong-regime for full-regime coverage.
Use when the user asks for spot-perp basis trade, basis arbitrage, cash-and-carry, perp discount, or any setup that reads the spot–perp basis as a positioning signal. Long-perp leg only — pure two-leg basis arb requires a paired spot short (or long) which Freqtrade can't run cleanly. The strategy below captures the directional read, not the hedged carry.
Use when writing a swing/intraday breakout strategy on Superior Trade — anything described as breakout, momentum, trend following, 12-hour high, range expansion, riding new highs, Donchian breakout. Note this template was unprofitable in our reference backtest (long-only in a -13% market); explain regime sensitivity to the user.
Use when writing a trend-breakdown short gated by a triple-confirmed strong-bear regime on Superior Trade — anything described as donchian short, structural breakdown, regime-gated trend follower, EMA-separation + ADX + N-bar return confirmation. Validated +6.69%/100% win/0% DD on BTC over 162d; designed to fire only in confirmed bear regimes (zero trades in chop by design). Pairs with bollinger-reverter-4h for full-regime coverage.
Use when writing, validating, or troubleshooting a recurring scheduled buy strategy (DCA, dollar-cost averaging, weekly buys, daily buys, monthly accumulation, accumulator) on Superior Trade — especially anything that should "buy more of the same pair" on a calendar trigger rather than a price trigger.
Use when writing a funding-rate-driven perp strategy on Superior Trade — anything described as funding harvest, funding arbitrage, funding rate carry, negative funding, paid to long, paid to short, basis trade. The strategy reads Hyperliquid hourly funding via `dp.get_pair_dataframe(candle_type="funding_rate")`, which is automatically downloaded for backtests.
Use when writing a strategy that captures short-squeeze setups on Hyperliquid perps — anything described as squeeze, short squeeze fuel, negative funding rally, fade the shorts, paid to long. Goes long when funding APR is deeply negative (shorts paying longs) AND price has been rising, exits on funding normalisation or time-stop. Sibling of strategy-funding-harvest but reads the squeeze-fuel signal instead of the carry.
Use when writing a profit-laddered position-adjustment strategy on Superior Trade — anything described as a grid bot, range fade, range harvest, ladder buy, scaling-in, pyramiding, or "buy more when it dips and sell partials when it rallies". Note this is a profit-driven ladder, not a true 20-rung order-book grid; explain that limitation when the user asks for true grid trading.
Use when an external event thesis needs market confirmation before commitment.
Onboard, fund, place immediate orders, withdraw, proxy signed Lighter transactions, and deploy Lighter Nautilus strategies through Superior Trade.
Use when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute strategy. Note this template was unprofitable in our reference backtest (33% WR, -0.34%); use it as a structural template, not a recommendation.
Use when writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion, BB bands, oversold bounce, fade, range trade, ADX low, sigma extension. Upgraded 2026-05-18 from the prior 1h/2.5σ variant to the validated 4h/2σ/ADX<25 version (+8.77% multi-pair, 65.5% win over 162d). Prior 1h variant is preserved at the end of the file as an archived reference.
Discover Polymarket markets, place single immediate market orders, run v3 filled-data backtests, and plan/start live Nautilus deployments through Superior Trade's managed cloud.
Use when a Polymarket market probability changes as the resolution deadline approaches.
Use when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.
Use when repeated large fills suggest directional participation or informed flow.
Use when a user needs a QR code or wallet payment URI to fund a Superior-managed EVM wallet on a specific chain before using Lighter, Polymarket, Hyperliquid, or other Superior Trade workflows.
Use when two Polymarket markets imply different probabilities for a linked outcome.
Use when a Polymarket outcome price and filled volume are accelerating in the same direction.
>- Render an Open Knowledge Format (OKF) bundle as a single self-contained, interactive HTML graph (viz.html) — concepts as nodes coloured/sized by type, markdown links and bundle-internal `sources` as edges, a wiki-style detail panel with rendered markdown, v0.2 trust/lifecycle/provenance metadata, and "Links to" / "Cited by" backlinks, layout switching, per-type filter and search. Use when asked to visualize, graph, preview, or explore an OKF bundle.
>- Check that an Open Knowledge Format (OKF) bundle is conformant with the v0.2 spec (§11). Use when asked to validate, lint, or check an OKF bundle, or before committing changes to one. Runs a deterministic Python checker — not an eyeball pass. Also migrates a v0.1 bundle to v0.2 in place with `--migrate`.
>- Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a repository contains an `.okf/` (or other OKF) bundle that should inform "capture this as a concept", or any work in a repo that has an OKF bundle.
Use when designing a test plan for a distributed or stateful system — anything with persistence, replication, consensus, retries, idempotency, async messaging, multi-tenancy, or partial failure. Plans are claim-driven: investigate the product's claimed guarantees first, then design hypotheses and scenarios that try to falsify those claims under fault. Handles change-scoped plans (a commit / PR / feature) and project-wide plans (holistic, with existing-test inventory and gap analysis). Also use when asked to write a stability plan, fault matrix, release-validation plan, durability / partition / upgrade / crash-recovery / linearizability / deterministic-simulation plan, tenant isolation / authz / boundary plan, namespace isolation plan, fairness / noisy-neighbor plan, "what should we be testing", or "make a holistic test plan". Trigger even if the user just says "what should we test for this change", "are my tenants actually isolated", or "how do I test fairness across tenants / shards / queues".
Use when running a previously designed distributed-systems test plan against a real or simulated cluster — driving fault injection, workload, chaos scenarios, linearizability / consistency runs, durability, partition, crash-recovery, upgrade, performance/SLO runs, tenant isolation runs, boundary or authz runs, fairness / noisy-neighbor runs, or release validation. Also use when asked to "execute the plan", "reproduce a distributed bug", "run stability tests", "drive chaos", "validate a release end-to-end", "run the tenant isolation tests", or when a plan file exists at docs/testing-plans/ or any caller-specified location and needs to be run. Discovers and reuses the SUT's test toolbox rather than reinventing, captures nemesis landing evidence per scenario, runs the green-but-broken and weak-oracle audits before any PASS, and for boundary or fairness scenarios with §7.M.S arms runs each surface arm with its own verdict under a downgrade rule so the aggregate cannot fold an untested surface into a pass.
|- Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any \"make slides\", \"create a deck\", or \"slides from this document\" request.
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this,"...
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits.
Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing.
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome").
Drain acc's deliberation queue — open/waiting brain_frames checkpointed by headless runs — via acc_act(runtime="continue").
Route a goal through acc's scored-memory loop via acc_act(runtime="solve"); deliberate any returned brain_frame and submit via continue.
Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL alongside their parent app.
Create, iterate, and scale paid ad creative for Google Ads, Meta, LinkedIn, TikTok, and similar platforms. Use when generating headlines, descriptions, primary text, or large sets of ad variations for testing and performance optimization.
Fetch any X/Twitter post as clean LLM-friendly JSON. Converts x.com, twitter.com, or adhx.com links into structured data with full article content, author info, and engagement metrics. No scraping or browser required.
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
Advogado especialista em todas as areas do Direito brasileiro: familia, criminal, trabalhista, tributario, consumidor, imobiliario, empresarial, civil e constitucional.
Autonomous DevSecOps & FinOps Guardrails. Orchestrates Gemini 3 Flash to audit Linux Kernel patches, Terraform cost drifts, and K8s compliance.
Advogado criminalista especializado em Maria da Penha, violencia domestica, feminicidio, direito penal brasileiro, medidas protetivas, inquerito policial e acao penal.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
Meta-skill que orquestra todos os agentes do ecossistema. Scan automatico de skills, match por capacidades, coordenacao de workflows multi-skill e registry management.
Main agent orchestrator that coordinates a specialized squad of agents
Turns requirements into a precise, dependency-aware implementation plan.
Designs the data model, API contracts, and structural foundation of the system.
Claude Skills — questions
Answers built from the skills we actually parsed.