Total 57,881 skills
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Guide users through ECC's current agents, skills, commands, hooks, rules, install profiles, and project onboarding by reading the live repository surface before answering.
Helps engineering managers support direct report growth — produces a stage-by-stage model of engineering impact (Circles of Influence), a framework for non-linear career planning (Tarzan Method), diagnostic signals for stalled growth, conversation scripts for career talks, and a promotion readiness vs. timing distinction. Use when the user says "career growth," "promotion," "career path," "this person wants to grow," "career conversation," "what's next for this person," "career ladder," "IC vs manager track," "how do I help my report advance," "help someone grow," or "engineer wants a promotion." Do NOT use for formal written performance reviews or underperformance — use performance-reviews instead.
查询并分析Google Trends在指定时间范围和国家/地区的实时热门话题与热搜。当用户提到谷歌趋势、热门话题、实时热搜、流行趋势、当前热点、近期热门、病毒式话题、时间段热度、区域趋势分析、Google Trends, real-time hot topics, trending topics, popular trends, recent trending searches, trend discovery时触发此技能。即使用户未明确说"Google Trends"，只要其需求涉及发现特定市场近期热门或正在流行的话题和搜索词，也应触发此技能。
搜索和分析TikTok商品数据，包括销量、达人带货数据、定价和佣金比例，覆盖16个TikTok Shop站点。当用户提到TikTok商品搜索、TikTok Shop商品分析、TikTok销量数据、达人带货销售、TikTok选品、TikTok佣金比例、TikTok商品排名、EchoTik数据查询、TikTok product search, TikTok sales, influencer sales, TikTok commission, TikTok product selection, short-video e-commerce, TikTok data时触发此技能。即使用户未明确提及"EchoTik"或"TikTok"，只要其需求涉及在TikTok Shop上搜索商品或分析TikTok商品表现指标，也应触发此技能。
按关键词深度分析亚马逊细分市场，涵盖垄断程度、品牌集中度、新品成功率和市场机会评分。当用户提到细分市场分析、关键词市场调研、垄断评估、品牌集中度分析、新品成功率、市场需求评分、竞争格局、亚马逊子市场探索、niche market analysis, keyword market, monopoly level, brand concentration, new product success rate, market opportunity score, competitive landscape, Jiimore data时触发此技能。即使用户未明确提及"细分市场"，只要其需求涉及评估某个关键词维度的亚马逊市场竞争格局、品牌密度或机会潜力，也应触发此技能。
Three.js skills for creating 3D elements and interactive experiences in the browser — scenes, materials, controls, and post-processing.
Track stock levels in real time across your platform with inventory reservation to prevent overselling and support for backorders
Use when you need comprehensive security scanning across applications, infrastructure, and dependencies with LLM-based analysis
Summarize Codex token usage from local Codex Desktop or CLI session JSONL logs. Use when the user asks to count, audit, total, compare, or report Codex/OpenAI token usage for a period such as today, this week, last month, a calendar month, a rolling 30-day window, peak week, peak day, input/output/cached/reasoning breakdown, or net token usage.
Analyze HLA genes, MHC binding, epitope-MHC associations, and immunogenomics for transplant compatibility, vaccine design, and immunotherapy. Integrates IMGT, IEDB, BVBRC, UniProt, and DGIdb. Use for HLA typing interpretation, antigen presentation analysis, MHC restriction, neoantigen prediction context, and transplant immunology.
Analyze, prioritize, and document test cases in TMS (Jira/Xray) -- the bridge between manual QA and test automation. Use when creating Test/ATP/ATR artifacts, calculating ROI to choose which tests to automate, maintaining US-ATP-ATR-TC traceability, or repairing broken TMS links. Supports four scopes: module-driven (exhaustive module exploration), ticket-driven (QA-approved user story), bug-driven (regression TC for a closed bug), and ad-hoc/exploratory. Produces three outcomes per TC: Candidate (feeds test-automation), Manual (terminal), Deferred (terminal). Triggers on: document tests, create test cases in Jira/Xray, prioritize for automation, ROI analysis, which tests to automate, Candidate vs Manual, link ATP to ATR, fix TMS traceability, stage 4, turn this bug into a regression test. Do NOT use for writing test code (test-automation) or running suites (regression-testing).
Edit existing videos with AI using each::sense. Apply effects, color grading, speed changes, trimming, transitions, style transfer, and visual enhancements. Transform raw footage into polished content. Use for: color grading, speed ramping, style transfer, video enhancement, social media edits, content post-production. Triggers: edit video, video editing, color grade, speed change, video effects, trim video, video filter, slow motion, timelapse, video style, video enhance, post production