Total 58,104 skills
Showing 12 of 58104 skills
Iteratively review changes, run automated tests, and apply targeted fixes until issues are resolved (or a stop condition is reached).
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.
PostgreSQL database management. Run queries, manage schemas, and monitor performance.
Best practices for writing JavaScript/TypeScript tests using Jest, including mocking strategies, test structure, and common patterns.
Data visualization design based on Stanford CS448B. Use when: (1) Choosing appropriate chart types for data (2) Selecting visual encodings (position, color, size) (3) Critiquing or improving visualizations (4) Building D3.js visualizations (5) Designing interactions and animations (6) Choosing color palettes for accessibility (7) Visualizing networks or text data Covers Bertin, Mackinlay, Cleveland & McGill principles.
Use when developing, reviewing, or explaining Rill projects and project files (connectors, models, metrics views, explores, canvases, themes, rill.yaml, sources, alerts, reports, APIs). Apply runtime workflow guidance and project-file reference docs, and cite rule files and source URLs.
Publishes Native AOT binaries. PublishAot, ILLink descriptors, P/Invoke, size optimization.
Calculate engagement rates for creator posts and benchmark them against platform and tier averages. This skill should be used when calculating an influencer's engagement rate, benchmarking creator engagement against industry averages, evaluating whether a creator's engagement is above or below average for their tier, comparing engagement rates across platforms, checking if engagement rates suggest fake followers, auditing a creator's engagement quality before a partnership, analyzing engagement by content type (reels, stories, feed posts, TikTok videos), or assessing engagement trends across a creator's recent posts. For estimating fair market rates based on engagement, see creator-rate-estimator. For full creator vetting beyond engagement, see creator-vetting-scorecard. For scoring niche fit, see niche-fit-scorer.
Python development best practices including PEP 8 style guidelines, type hints, docstring conventions, and common patterns. Use when writing or modifying Python code.
Performance attribution, trade analytics, and strategy optimization
Query and download logs from Papertrail using the paperctl CLI. Use when: (1) Downloading logs from Taskcluster workers or other systems (2) Searching for specific log entries across systems (3) Investigating CI failures by pulling worker logs (4) Listing available systems or groups in Papertrail Triggers: "papertrail", "pull logs", "worker logs", "download logs", "search logs"
Expert guide for setting up Tauri deployment pipelines with GitHub Actions, code signing, and Oasis update server integration.