В каталоге 183 730 навыков в 14 категориях.
Category: Automation
Initializes the Awesome Copilot ID SDLC architecture, AGENTS.md, and rules in the current project.
Invoked explicitly by /init-project. Bootstraps or upgrades the SDLC framework in a repository — detects the stack, fill...
Shared protocol, phase graph and conventions for the sdlc-* SDLC framework. Read by the other sdlc-* skills and by sdlc...
Invoked explicitly by /sdlc. Reads workflow state and reports where every feature stands, which single command comes nex...
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTU...
Вехи разработки по плейбуку Anthropic «AI-native SDLC» поверх оркестрации агентов — шесть стадий (Plan, Design, Build, T...
Use when user wants to run the complete end-to-end feature development pipeline. Triggers on "run sdlc pipeline", "start...
Guided orchestrator that shepherds a project through the full SPEAKMAN.AI SDLC — Phase 1 architecture through Phase 4 in...
Generates formal, structured, and executable implementation plan documents based on specifications.
Invoked explicitly by /prd. Turns a feature request into a product requirements document with numbered use cases (UC-IDs...
Generate comprehensive SDLC reports including iteration status, metrics dashboards, and executive summaries. Use when re...
Generate SDLC reports including iteration status, metrics dashboards, and executive summaries across phases
Templates, standards, and structure requirements for generating SDLC approach learning repositories. Use when creating n...
Analyze and interrogate requirements for a TriStar feature. Asks structured questions across engineering and loyalty-dom...
Invoked explicitly by /review. Reviews a diff, file or use case against the project's production standards and against t...
Review Kanban handoffs and route verified outcomes.
Assess risks for a TriStar feature implementation. Analyzes technical, domain, and operational risks. READ-ONLY - produc...
Invoked explicitly by /srs. Produces the software requirements specification — functional, non-functional and AI require...
Manage project specifications and test artifacts. Supports the full pipeline from PRD creation through Epic decompositio...
Invoked explicitly by /techdoc. Produces the technical design for a feature — component map, data model, interface specs...
Invoked explicitly by /gen-testcase. Derives a human-readable test case catalog from the SRS scenarios and the tech desi...
Invoked explicitly by /run-test. Implements and executes the acceptance and live-integration tests from the test case ca...
Invoked explicitly by /trace. Audits traceability across specifications, code and tests — every use case has a feature f...
Invoked explicitly by /unittest. Implements automated unit and mocked-integration tests from the test case catalog, usin...
Verify implemented TriStar feature against requirements, run test analysis, check edge cases, and invoke domain-specific...
Phase 6: Coding & Execution. Senior Software Engineer implementing code strictly based on approved /spec/ and /plan/.
Structured Domain Modeling Architecture (SDMA) principles. Trigger when: - Designing domain models, building ologs (onto...
Software-defined networking
Generate Social Determinants of Health (SDOH) observations and conditions using Gravity Project value sets. Use when use...
Evaluates how effectively audio separation models isolate specific stems from a mixed recording while preserving signal...
Help SDRs figure out which accounts to focus on and how to break into them -- combining internal engagement data with ex...
Software-defined radio (SDR) and satellite reception toolkit — what to install, what you can hear from space, and how to...
Fix stuck SDRplay API service that causes device enumeration to hang. Use when SoapySDRUtil --find hangs, SDRplay device...
Create machine-readable SDS YAML that maps cleanly to SEA DSL.
Use the Synthetic Data Vault (SDV) Python package for tabular synthetic data preparation, constraints, synthesis, and ev...
This skill should be used when the user asks to "validate data structures", "check save format", "update config options"...
Represent flow groups, overlay links, priorities, SLA thresholds, and per-flow measurements for QoS optimization experim...
SD Worx integration via Apideck's HRIS unified API — same methods work across every connector in HRIS, switch by changin...
Orchestrator (not a knowledge pack): routes a free-text systems-engineering question to the right catalogue pack(s), rea...
Signpost (not a knowledge pack) for the systems-engineering standards landscape — ISO/IEC/IEEE 15288, 24748, 29148, 4201...
Jobs-to-be-Done analysis, user journey mapping, and UX research artifacts for Figma and design workflows
Enforce Flow-only CQRS tagging and recommended metadata.
Conseil SEA Google Ads pour {{COMPANY_NAME}} — audit de compte (structure, mots-clés, quality score, annonces, landing p...
Visualização estatística. Gráficos de dispersão, boxplots, violins, mapas de calor, matriz de pares, regressão, matrizes...
Creates Seaborn statistical visualizations with pandas integration for distributions, relationships, categorical compari...
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and catego...
Seaborn Statistical Visualization workflow skill. Use this skill when the user needs Seaborn is a Python visualization l...
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted pl...
Seaborn statistical data visualization. Use for statistical plots.
Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for data...
Apply seaborn in reproducible local data workflows with version-aware APIs, explicit assumptions, and validation. Use wh...
Statistical visualization on matplotlib with native pandas support. Auto aggregation, CIs, grouping for distributions (h...
Statistical visualization on matplotlib + pandas. Distributions (histplot, kdeplot, violin, box), relational (scatter, l...
Walk the operator through a door seal check.
Diagnose Amazon Ads ACOS with reconciled CTR, CPC, CVR, AOV, ROAS, TACOS, placement, search-term, benchmark, attribution...
Build and diagnose a profit-aware Amazon advertising architecture by working backward from stage-level sales and profit...
Rebuild an unprofitable Amazon ad account by replacing head-term dependence with a verified keyword universe, root-based...
Apply a simple Amazon Ads allocation model that separates discovery from exploitation, tests keyword and placement effec...
用实时工具发现核验 Amazon Ads MCP Lite 能力，规划只读广告报表或 AMC 查询并校验粒度、归因和汇总。用于广告 Agent 接入验收、MCP 动态工具或 AMC Expert 查询审查；不把 Ads 连接当卖家库存利润通...
Diagnose and draft Amazon Canada apparel advertising plans with lifecycle and seasonal timing, English/French search cov...
Build an Amazon growth strategy that treats tax, product safety, account, IP, and logistics compliance as non-negotiable...
Turn verified Amazon product and audience evidence into reviewable AI-assisted advertising concepts, copy, image/video b...
Diagnose and plan privacy-safe Amazon Marketing Cloud (AMC) analytics and audience activation, especially for European a...
Plan and diagnose Amazon Europe multi-market advertising for standard, non-standard, high-ticket, and seasonal products...
Plan and diagnose evidence-based Amazon full-funnel growth across awareness, consideration, conversion, and loyalty with...
依据日本站广告运营指南，处理日文关键词发现、关键词组和翻译校准、搜索与商品流量组合、品牌工具及促销配合。用于日本站关键词少/复杂、美国词迁移、积分活动和广告节奏；适用范围不限服饰，具体活动日期及工具资格按当前站点核验。
Diagnose and plan Amazon Japan apparel advertising with Japan-specific consumer behavior, seasonality, and ASIN lifecycl...
Audit, diagnose, rewrite, creatively brief, test, and safely prepare updates for Amazon product detail pages using live...
Diagnose and design low-bid Amazon Ads discovery experiments that probe residual traffic, minimum viable bids, placement...
Filter, interpret, and turn the authorized 2025 Amazon Prime Day advertising insight records into a qualified event plan...
Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, in...
分析 Amazon Sponsored Products 与 Sponsored Brands Prompts 的问题文本、商品事实、花费及成熟转化，生成核查和暂停候选。用于智购提示广告、Prompts 报表和错误回答审查；不用于编写通用...
Reduce avoidable Amazon returns through root-cause analysis, accurate listing content, packaging and quality fixes, offi...
Plan, review, diagnose, and safely launch Amazon Sponsored Products video-format ads (SP video/SPV), including eligibili...
Diagnose and plan Amazon UK apparel advertising with UK-specific consumer behavior, seasonality, compliance gates, and A...
Design Amazon Ads for legitimate parent-child variations by selecting a hero child, allocating queries by variant attrib...
Assess a proposed Woot deal or onboarding path using current official eligibility, account ownership, deal economics, in...
围绕自有 Amazon ASIN 制定关键词分层、活动结构、竞价预算、阶段计划和止损方案。用于推新、广告重建、投放规划或广告执行表；产出可评审草稿。
生成可独立打开的 Amazon 广告规则演示页，使用明确标注的合成 Campaign 指标比较规则命中与拟调整状态。用于广告规则、阈值或 Dry Run 教学演示。
按 ASIN 或商品链接抓取 Amazon Listing 详情，用于竞品和页面分析。用于Amazon ASIN 商品详情采集相关的 Amazon 数据查询、核验和分析。
抓取 Amazon 商品评论、图片评论和视频评论，沉淀 VOC 证据。用于Amazon 评论与媒体采集相关的 Amazon 数据查询、核验和分析。
从 ASIN 评论里提炼买家抱怨、正向反馈和产品改良线索。用于Amazon 评论 VOC 分析相关的 Amazon 数据查询、核验和分析。
围绕一个 Amazon ASIN 整理商品事实、类目与竞品、历史趋势、关键词、评论、供应和风险，交付可离线打开的中文 HTML 研究简报。
批量改写 Amazon Item name 与 Item highlights，核对商品事实、站点和类目规则，并生成标题与亮点长度检查结果。用于 75 字符标题改写、商品亮点或批量上传前审查。
建立 Amazon 竞品核验、时间快照、价格与 Listing 变化记录，以及本地 HTML 总览。用于竞品监控、排名复盘、历史快照和变化分析；支持授权采集后导入 SQLite。
使用Keepa数据按 Keepa Product Finder 条件建立候选 ASIN 池。用于数据库条件筛选相关的 Amazon 数据查询、核验和分析。
使用Keepa数据分析 ASIN 的价格、排名、卖家数和评论历史变化。用于历史价格与排名相关的 Amazon 数据查询、核验和分析。
使用Keepa数据用 Keepa 数据做轻量商品发现或 ASIN 查询。用于关键词发现相关的 Amazon 数据查询、核验和分析。
由 Amazon ASIN 建立可追溯的竞品与关键词库，完成原始词保留、产品词根、R0–R3 相关性、L1–L4 意图层级、P0–P3 优先级及广告和 Listing 映射。
读取 Amazon Seller Central 价格折扣数据，核对活动与 SKU，并生成指定 SKU 的折扣变更计划。用于查折扣、批量折扣审查或准备已授权变更；默认只读与草稿。
开展 Amazon 需求、竞争、关键词、评论、供应、完整成本与市场进入判断，输出来源可追溯的 Markdown、离线 HTML 和结构化数据；用于品类调研或选品评审。
使用卖家精灵数据查看单个 ASIN 的标题、评分、价格、品牌和商品基础字段。用于ASIN 商品详情相关的 Amazon 数据查询、核验和分析。
使用卖家精灵数据按 ASIN、品牌、卖家、类目或关键词查找竞品列表。用于竞品列表查询相关的 Amazon 数据查询、核验和分析。
使用卖家精灵数据获取指定 ASIN 的评论列表，用于快速查看买家反馈。用于评论列表相关的 Amazon 数据查询、核验和分析。
使用SIF数据反查竞品 ASIN 的流量关键词和排名来源。用于关键词反查与变化相关的 Amazon 数据查询、核验和分析。
使用SIF数据判断一个 Listing 的自然、广告和推荐流量结构是否健康。用于ASIN 流量拆解相关的 Amazon 数据查询、核验和分析。
使用SIF数据查看关键词需求体量、历史趋势和头部点击集中度。用于词的历史需求相关的 Amazon 数据查询、核验和分析。
使用SIF数据判断关键词是否被头部 ASIN 锁死，是否还有切入机会。用于词下商品竞争相关的 Amazon 数据查询、核验和分析。
使用Sorftime数据判断 Amazon 类目的市场容量、价格带、集中度和头部商品结构。用于类目横截面相关的 Amazon 数据查询、核验和分析。