Loading...
Loading...
Found 9,315 Skills
Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics.
Builds trade area and catchment analysis workflows in CARTO. Triggers when the user mentions trade area, catchment area, isochrone, site selection, where to open, best location, billboard, OOH, audience targeting, drive time, walk time, coverage area, commercial hotspot, site scoring, location ranking, or wants to generate isochrones, score candidate locations, or identify the best sites for retail, advertising, or services.
Drafts or revises a publication-ready research paper from RESEARCH.md, producing paper.md and refs.bib. Builds a clear claim-evidence narrative, writes in professional academic style, marks ungrounded claims [UNGROUNDED] and unverified citations [UNVERIFIED] inline, then auto-invokes review. Trigger phrases: "write paper", "draft paper", "revise paper", "start writing".
Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.
Use when the user asks for a broad codebase review, substantial PR/branch review, architecture audit, tech-debt scan, cleanup assessment, structural sanity check, or design-alignment review. Default workflow: use sub-agents when available unless specifically forbidden; do not require the user to mention sub-agents, council mode, delegation, or parallel review. Focus on cruft, duplication, weak boundaries, missed reuse, lifecycle/concurrency risks, test/roadmap drift, and code aesthetics. Do not use for narrow bug fixes, ordinary small-diff reviews, frontend visual QA, repo-onboarding docs, or OpenAI Agents SDK production-readiness review. Output evidence-backed findings first, then pressure points, design alignment, open questions, and follow-through.
Use this skill when the user asks for creative thinking (including naming it or directing use/apply/run with obvious misspellings; decisive) or wants divergent ideation—fluency, flexible perspectives, novel combinations, and elaboration, with optional light convergence. Use when they want fresh ideas, blue-sky options, reframes, or more variety before committing, including casual or messy prompts. Skip when they want a single delivered answer with no exploration, audit-only teardown with no generation asked for, or purely mechanical execution.
Implements Syncfusion .NET MAUI Sunburst Chart (SfSunburstChart) for hierarchical data visualization using a radial, multi-level circular layout. Use this for sunburst charts, radial hierarchical charts, multi-level pie charts, or hierarchical data visualization with drill-down capabilities. Ideal for visualizing organizational structures, file systems, or nested categorical data.
Xiaohongshu Copy Rewriting Capability; Used when users need to rewrite copy into Xiaohongshu style
Detect and fix SQL injection vulnerabilities in any framework. Covers Laravel (DB::raw, whereRaw), Node.js (template literals in queries), Python (f-strings in SQL), and Cloudflare D1. Enforces parameterized bindings everywhere. Use when writing database queries, reviewing code for injection, or fixing SQL injection findings.
Invoke when the user wants to plan, execute, or analyze a structured playtest session with behavioral observation. Covers protocol design, observer guides, and data synthesis. Triggers on: "playtest", "player feedback", "usability test", "observation session", "playtest analysis". Do NOT invoke for QA bug testing (use game-qa-lead) or balance tuning (use game-balance-check). Part of the AlterLab GameForge collection.
Quantitative signal scanning and position sizing tool based on the original Turtle Trading method. It retrieves market data for A-shares / Hong Kong stocks / US stocks / Singapore stocks via longbridge CLI, and automatically calculates ATR (N value), breakout signals (System 1 / System 2), stop-loss prices, add-on positions, and Unit position sizes. Trigger this tool when users mention 海龟, turtle, 海龟交易, 海龟信号, turtle signal, turtle trading, or ask about breakout signals, ATR, N value, Unit positions, stop-loss prices, add-on positions, S1/S2 signals, 20-day high/low, 55-day breakout, or request to scan watchlists/indexes for trading signals using the turtle system. It also triggers when users say "扫描突破信号", "帮我算Unit", "海龟止损", "海龟系统分析", or any combination of a stock name/code with "海龟". **Applicable scenarios:** - Scan for breakout signals (20-day/55-day high/low breakouts) after daily market close - Calculate ATR, stop-loss prices, and add-on positions for single stocks or batches of targets - Calculate reasonable Unit position sizes based on account net assets - Determine whether existing positions trigger exit or add-on conditions - Scan turtle signals for watchlist stocks / index components **Not applicable for:** - Fundamental analysis (Turtle system is purely technical) - Predicting price direction - Automatic order placement (only outputs signals; users operate on their own) - Short-selling opening operations for A-shares/Hong Kong stocks/Singapore stocks
Expert infrastructure security engineer specializing in DevSecOps, cloud security, and compliance frameworks. Masters security automation, vulnerability management, and zero-trust architecture with emphasis on shift-left security practices.