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Found 1,931 Skills
Enumerate and audit Active Directory forest trust relationships using impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment.
Runs the Metabase semantic checker against a tree of Representation Format YAML files to verify that all references resolve — cross-entity references (collection_id, dashboard_id, parent_id, parameter source cards, snippet references, transform tags, etc.) and references to columns inside MBQL and native queries. Use when the user asks to "semantic check", "check references", "validate queries against the schema", or diagnose a broken reference. Requires database metadata on disk (by default `.metabase/metadata.json`).
Run a structured multi-perspective council on a hard decision, design choice, debugging question, strategy problem, or tradeoff. Use when the user wants multiple viewpoints, explicit cross-examination, and a compact final verdict.
Curated text animation catalog with exact JSON specs for headings, labels, counters, and text swaps. Use when an agent needs to pick or translate named effects like soft blur in, typewriter, shared axis, line reveal, stagger, crossfade, or kinetic builds into WAAPI, Motion, Framer Motion, GSAP, CSS, Lottie, Rive, or similar stacks.
Arrfounder platform help — founder revenue directory by @Folyd (2024) that auto-extracts MRR/ARR + products from Twitter/X bios via AI, lists 1000+ founders on sortable leaderboards (ARR / followers / products / recently added), free Airtable submission with 24-48h manual approval, auto-syncs within hours of bio changes. Social-proof verification only (no Stripe / Lemon Squeezy / Polar API integration) — built for peer discovery and community browsing, not acquisition-grade proof. Use when getting listed on Arrfounder, writing a Twitter/X bio that passes the MRR/ARR extractor, fixing a profile that didn't get approved or stopped updating after a bio edit, deciding Arrfounder vs TrustMRR or StartuPage for verified-revenue display, benchmarking against peers in the $1K-$10M+ ARR tiers, or using Arrfounder as a comp-check tool before pricing a sale or fundraise. Do NOT use for selling/buying a project or cross-marketplace valuation (use /sales-side-project-valuation).
This skill should be used when interacting with Google Workspace services via the gws CLI — Gmail (search, triage, send, labels, filters, drafts), Calendar (agenda, events, Meet conferencing), Drive (upload, list, share, download), Sheets (read, append), Docs, Tasks, Chat (send), People/Contacts, and cross-service workflows (standup, meeting prep, weekly digest, email-to-task). Triggers on queries like "check my email", "search Gmail", "send email", "calendar agenda", "create calendar event", "upload to Drive", "read spreadsheet", "create a task", "triage inbox", "find contact", "post to Chat".
Complete Hyperliquid playbook — perpetuals and spot trading, margin/leverage, TWAP, real-time WebSocket data, and historical candles. Use for any Hyperliquid task. Trading triggers: place perp/spot orders (Gtc/Ioc/Alo), market-like fills, take-profit/stop-loss grouping, modify or cancel orders, batch cancels, TWAP orders (place/track fills/terminate), change leverage (cross vs isolated), adjust isolated margin, transfer USDC between spot and perp accounts (usd_class_transfer), get the EVM deposit address to fund Hyperliquid. Data triggers: read account summary (perp margin, positions, liquidation price, unrealized PnL), spot balances, portfolio, open orders, historical orders, single order status, fills (latest or by time window), funding history, rate limits, market metas (perp + spot, szDecimals), perp-only metas, spot-only metas, mid prices for all coins, L2 orderbook per coin, spot token details, allDexsAssetCtxs snapshot (funding/OI/mark prices across assets). Real-time WebSocket: wss://api.hyperliquid.xyz/ws with channels allMids, allDexsAssetCtxs (backend manages a shared subscription — agent can subscribe/unsubscribe and read the cached snapshot), l2Book, trades, candle, orderUpdates, userFills, userFundings. Historical OHLCV candles via direct POST https://api.hyperliquid.xyz/info {type: 'candleSnapshot'} — supports 1m/3m/5m/15m/30m/1h/2h/4h/8h/12h/1d/3d/1w/1M intervals up to 5000 candles. Covers all routes under /agent/trading/* (market/metas|mids|perp-metas|spot-metas|l2-book|token|all-dexs-asset-ctxs, deposit-address, account, account/spot, portfolio, rate-limit, orders, orders/details, orders/history, orders/:oid/status, twap, twap/fills, twap/:id, fills, fills/by-time, funding, leverage, margin, transfer). Triggers on mentions of Hyperliquid, "HL", perp, perpetual, funding rate, TWAP, isolated margin, cross margin, "deposit to Hyperliquid", "HIP-3", "HLP", or "HL vault". Prerequisite: openfin-setup.
Map, analyze, and redesign the systems behind product experiences. Part of the Intent design strategy system. Creates service blueprints, ecosystem maps, process architecture, and dependency diagrams. Understands how services, teams, tools, and data flows connect to produce (or fail to produce) user outcomes. Proposes structural changes to how products and services are organized. Trigger on: service blueprints, system maps, process architecture, actor/role mapping, dependency analysis, cross-functional workflows, operational design, "how does this system work?", "what breaks when X happens?", "map out the service", "where are the dependencies?", or any question about the structural machinery behind a product experience. Use this skill broadly — whenever someone needs to understand or redesign how a system works, not just what a user sees.
Evaluates ML models for performance, fairness, and reliability. Use for metric selection, cross-validation strategies, overfitting/underfitting diagnosis, hyperparameter tuning, LLM evaluation, A/B testing, and production monitoring for model drift.
Use when starting a session, deciding which framework skill applies to the current task, or sequencing them across a feature. Maps the user's intent to one of the five framework skills (ai-driven-prd, init-claude-project, generate-dev-plan, declarative-design, execute-plan) and enforces the cross-skill operating behaviors. Triggers on "which skill should I use", "where do I start", "how do these skills fit together", "I have a PRD now what", "/using-agent-skills".
Read, write, and manipulate SEG-Y seismic data files. Fast C library with Python bindings for trace, header, inline, and crossline access. Use when Claude needs to: (1) Read/inspect SEG-Y files, (2) Extract trace data or headers, (3) Access 3D survey data by inline/crossline, (4) Create new SEG-Y files from arrays, (5) Modify existing SEG-Y files, (6) Extract subsets of seismic data, (7) Read/write Seismic Unix format.
Four-mantra debugging discipline — reproduce, trace the fail path, falsify the hypothesis, cross-reference every breadcrumb. Recite the mantra block verbatim at the start of any debugging session, then apply the four steps in order before proposing any fix. Trigger on /debug-mantra and proactively whenever debugging starts — user reports a bug, says something is broken/throwing/failing, asks to debug/diagnose/investigate an issue, or pastes a stack trace or error log.