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Found 4,126 Skills
Process large codebases (>100 files) using the Recursive Language Model pattern. Orchestrates parallel sub-agents to map-reduce across files without context rot. Use when: analyzing large repositories; auditing security or auth across many files; finding patterns across 50+ files; processing large log files or data dumps
Builds robust, tool-specific prompts from user intent using a structured extraction and routing engine. Use when the user asks for prompt creation, prompt repair, prompt decomposition, or adapting prompts across Claude, GPT, reasoning models, Gemini, coding IDEs, autonomous agents, and image tools.
Create, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
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".
Analyzes CockroachDB range distribution across tables and indexes using SHOW RANGES to identify range count, size patterns, leaseholder placement, and replication health. Use when investigating hotspots, uneven data distribution, range fragmentation, or validating zone configuration effects without DB Console access.
Investigate LLM analytics evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, or manage the evaluation lifecycle (create, update, enable/disable, delete).
Read-only observability dashboard plugin for Hermes Agent — journeys, crossings, guideposts, and reports.
Error-to-fix playbook for every known failure mode on the OpenFinance backend — Polymarket, Relay, Hyperliquid, Privy delegation, and Solana RPC issues. Use this the moment a call fails, returns an unexpected status, or behaves inconsistently with on-chain state. Triggers on ANY of these error signatures verbatim or in paraphrase. Polymarket: "allowance: 0 but on-chain shows max", "CLOB reports allowance 0", "approvals confirmed but order rejected", "404 upstream" on market orders, "tick size" rejection, "order size below minimum", USDC.e vs pUSD vs native USDC confusion, V1 vs V2 exchange confusion. Relay: "InstructionFallbackNotFound", "Custom:101", "Custom:6000", "AnchorError", "Blockhash not found", "TransactionExpired", "No valid authorization signatures were provided", "Solana wallet is not delegated to the app", 412 delegation errors, quote succeeded but execute failed, stuck funds on Solana, stuck funds cross-chain, topupGas forced off. Hyperliquid: "Insufficient perp account value", "price out of bounds", WebSocket stale data, spot vs perp balance confusion. General: any "why is X failing", "why does on-chain and API state disagree", "what does this error mean". Read this BEFORE assuming a bug in the MCP or backend — most of these errors are already catalogued with known fixes.
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.
Write or update backend feature documentation that follows a repo's DOCUMENTATION_GUIDELINES.md (or equivalent) across any project. Use when asked to create/update module docs, API contracts, or backend documentation that must include architecture, endpoints, payloads, Mermaid diagrams, and seeding instructions.
Deliver Python backends across async FastAPI and Django or Flask service styles while keeping API design, validation, auth, and service behavior explicit.
Interview the user relentlessly to expand context and surface intent, constraints, hidden assumptions, and unstated alternatives. Use whenever the user invokes `/grill-me`, says "grill me", "interview me", "pressure-test this", "help me think through", or whenever the user's first message is more decision than task — across coding, business, marketing, personal branding, SOPs, systems thinking, process design, and tough decisions.