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Found 1,683 Skills
Inspects, filters, and maps z-schema validation errors for application use. Use when the user needs to handle validation errors, walk nested inner errors from anyOf/oneOf/not combinators, map error codes to user-friendly messages, filter errors with includeErrors or excludeErrors, build form-field error mappers, use reportPathAsArray, interpret SchemaErrorDetail fields like code/path/keyword/inner, or debug why validation failed.
WOLF v6 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 7-cron architecture with Emerging Movers scanner (90s, FIRST_JUMP + IMMEDIATE_MOVER), DSL v4 trailing stops (combined runner every 3min, 4-tier at 5/10/15/20% ROE), SM flip detector (5min), watchdog (5min), portfolio updates (15min), opportunity scanner v6 (15min, BTC macro + hourly trend + disqualifiers), and health checks (10min). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Minimum 7x leverage required. Requires Senpi MCP connection, python3, mcporter CLI, and OpenClaw cron system.
In-depth article analysis, interpretation and fact-checking. Used to extract core viewpoints, examine logic, evaluate value and analyze writing skills.
Smart money tracking — netflow, trades, holdings, DCAs, perp trades. Use when finding what smart money wallets are buying/selling or tracking whale activity.
Optimize programmatic SEO pages for visibility and citation in AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and other LLM-powered search. Use when optimizing for LLM citation, implementing llms.txt, configuring AI crawler access, structuring content for AI extraction, or when the user asks about generative engine optimization (GEO), AI search visibility, or getting cited by AI.
Bootstrap or adapt project docs using project-documentation-template. Core goal - produce structured lifecycle documentation aligned with enterprise template. Initialize (empty) or Adjust (non-empty); repeatable; strict kebab-case naming.
ESP32 firmware engineering for ESP-IDF projects. Write, review, and debug embedded C/C++ code involving FreeRTOS tasks/queues/timers, GPIO/I2C/SPI/UART/ADC/PWM peripherals, TWAI/CAN, Wi-Fi/BLE networking, OTA updates, Secure Boot and flash encryption, LVGL display integration, build/flash/monitor workflows, logging, crash analysis, memory/code-size optimization, low-power sleep/wakeup design, on-device USB/serial service terminals, and board bring-up. Use when an agent is asked to implement ESP-IDF firmware features, review embedded changes for correctness or race conditions, investigate boot/runtime failures or Guru Meditation panics, interpret serial logs, fix build/link/flash problems, optimize RAM/flash usage, tune deep sleep/light sleep behavior, harden firmware for production, add a service console/CLI, integrate a display with LVGL, or diagnose hardware-software integration issues on ESP32-class devices.
Run MTHDS methods and interpret results. Use when user says "run this pipeline", "execute the workflow", "execute the method", "test this .mthds file", "try it out", "see the output", "dry run", or wants to execute any MTHDS method bundle and see its output.
Build, test, and deploy DeFi trading strategies using the Almanak SDK. ALWAYS use this skill when the user mentions almanak, DeFi strategy, trading strategy, yield farming, liquidity provision, token swap, borrowing, lending, perpetuals, staking, vault deposit, bridging tokens, backtesting, paper trading, or on-chain execution. Use for writing strategy.py files, composing intents (Swap, LP, Borrow, Supply, Perp, Bridge, Stake, Vault, Prediction), working with config.json strategy parameters, running almanak strat or almanak gateway CLI commands, or debugging strategy execution on Anvil forks. Do NOT use for general smart contract development, Solidity code, or non-strategy SDK internals.
Design LLM-as-Judge evaluators for subjective criteria that code-based checks cannot handle. Use when a failure mode requires interpretation (tone, faithfulness, relevance, completeness). Do NOT use when the failure mode can be checked with code (regex, schema validation, execution tests). Do NOT use when you need to validate or calibrate the judge — use validate-evaluator instead.
Perform statistical hypothesis testing, regression analysis, ANOVA, and t-tests with plain-English interpretations and visualizations.
Extract structured data from Office documents (DOCX, PPTX, XLSX, HWP, HWPX) using the Polaris AI DataInsight Doc Extract API. Use when the user wants to parse, analyze, or extract text, tables, charts, images, or shapes from document files. Invoke this skill whenever the user mentions extracting content from Word, PowerPoint, Excel, HWP, or HWPX files, wants to parse document structure, needs to convert document data for RAG pipelines, or asks about reading tables, charts, or text from Office-format documents — even if they don't explicitly mention "DataInsight" or "Polaris".