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Found 569 Skills
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.
Symfony UX TwigComponent for reusable UI elements. Use when creating reusable Twig templates with PHP backing classes, component composition, props, slots/blocks, computed properties, or anonymous components. Triggers - twig component, AsTwigComponent, reusable template, component props, twig blocks, component slots, anonymous component, Symfony UX component, HTML component, component library, design system component, UI kit, reusable button, reusable card, PreMount, PostMount, mount method. Also trigger for any question about building a reusable piece of UI in Symfony, even if the user doesn't mention TwigComponent by name.
Performance playbook for `weapp-vite + wevu` mini-program projects, aligned with WeChat runtime guidance (`setData`, render, navigation, resource, memory). Use this whenever users report lag, frame drop, white screen, slow page switching, memory alert, or want to implement systematic performance governance, stress testing and regression.
Audit Webflow Code Components for architecture decisions - prop exposure, state management, slot opportunities, and Shadow DOM compatibility. Focused on Webflow-specific patterns, not generic React best practices.
Conduct technical and on-page SEO audits covering crawlability, site speed, mobile-friendliness, and content optimization. Use this skill when the user needs to improve search rankings, diagnose traffic drops, audit a website for SEO issues, or plan an SEO strategy — even if they say 'why is our traffic dropping', 'audit our SEO', 'how do we rank higher on Google', or 'our site is slow'.
Laserfocus platform help — Salesforce overlay with Stacks, table views, bulk editing, precache technology, and task management. Use when reps find native Salesforce UI too complex for daily pipeline work, Salesforce data entry is slow and reps skip updates, evaluating Laserfocus vs Scratchpad vs Weflow vs Dooly for Salesforce overlay, need a lightweight Salesforce alternative without replacing the CRM, or Laserfocus Stacks or Field Groups not working as expected. Do NOT use for general CRM selection (use /sales-crm-selection) or conversation intelligence / call recording (use /sales-note-taker).
Use when determining how fast or slow motion should be—pacing action sequences, dramatic pauses, comedic beats, or any situation where the duration of movement matters.
Produce a single-file slide deck in the Atelier Zero visual language (warm-paper background, italic-serif emphasis spans, coral terminating dots, surreal collage plates) — Open Design's brand deck recipe. The deck uses **horizontal magazine-style swipe pagination** (←/→, wheel, swipe), a per-slide chrome strip with brand mark and slide counter, an ESC overview grid, a coral progress bar, and inherits the canonical stylesheet + 16-slot image library from the sister `open-design-landing` skill.
Helps engineering managers diagnose team skill gaps and make better hiring and assignment decisions — produces the Dungeon Party archetype model (Warrior, Tank, Healer, Wizard, Rogue), the Barrels and Ammunition framework for understanding throughput limits, the Commandos/Infantry/Police phase model, and a minimum team size guideline. Use when the user says "team balance," "what roles do I need," "who should I hire next," "team is missing something," "skill gaps," "team is slow despite headcount," "this person thrived before but struggles now," or "what type of engineer should I hire."
Helps engineering managers measure and improve team delivery — produces a history of why common metrics fail, the DORA four-key-metrics framework (deployment frequency, lead time, change failure rate, MTTR), DevEx's three dimensions (feedback loops, cognitive load, flow state), a translation layer from engineering metrics to business outcomes, and a list of measurement anti-patterns to avoid. Use when the user says "how do I measure productivity," "DORA metrics," "velocity," "cycle time," "developer experience," "DevEx," "how do I show our team is performing well," "metrics for engineering," "team is slow," "engineering performance," or "connect engineering to business." Do NOT use for managing an underperforming individual — use performance-reviews instead.
Top Rank Tokens Sniper v1.0 — OKX Ranking Sniper (Real Trading). Monitors the OKX leaderboard for newly listed tokens, filters through 13 Slot Guard pre-checks + 9 Advanced Safety checks + 3 Holder Risk checks + Momentum scoring, then automatically snipes entries. 6-layer exit system manages take profit and stop loss. Triggered when the user mentions top rank tokens sniper, ranking strategy, leaderboard sniper, top N sniper, 榜单狙击手, or start ranking sniper. Run file: ranking_sniper.py (includes Web Dashboard http://localhost:3244)
Opinionated guidance for constructing and interpreting Honeycomb queries on trace and event datasets — operation selection (percentiles not AVG, HEATMAP for distributions), relational field patterns (root., parent., any., none.), calculated fields, query math, and result interpretation (P99/P50 ratios, heatmap bands, TOTAL/OTHER rows, raw JSON via query_result_json). Use this skill when the user wants to query spans, traces, or log/event data in Honeycomb — requests like "show me latency", "error rate", "find slow requests", "find outliers", "interpret results", "relational fields", "calculated fields", or "download raw results". This skill covers all dataset types except metrics datasets (dataset_type=metrics) — for those, use metrics-queries instead.