Product & Planning

georgeqle Bundle

Reconcile kanban board state with roadmap docs and codebase reality — sync cards, steps, and git history so they agree.

georgeqle Skill

Reconcile kanban board state with roadmap docs and codebase reality — sync cards, steps, and git history so they agree.

georgeqle Skill

Reconcile kanban board state with roadmap docs and codebase reality — sync cards, steps, and git history so they agree.

ahang1598 Bundle

设计简报（Design Brief）。生成一页纸 HTML 文档，在设计开始前对齐业务目标、用户需求、设计策略、设计标准与边界约束。是链式上下文的核心锚点节点——所有下游 Skill（/用户故事 /站点地图 /用户旅程 /Web页面设计 /mobile页面设计 /设计走查 /写PRD 等）都从 Brief 读取项目背景，避免重复填写。HTML 可一键导出 PNG 分享给 UX/PM/工程/业务方。 触发关键词：写设计简报、设计简报、design brief、brief、一页纸、启动设计项目、启动设计前对齐方向、设计前对齐、设计目标对齐、设计方向对齐、对齐 UX/PM/工程、给设计 kickoff、设计 brief 模板、一页纸 brief、design brief HTML、设计起点文档、为设计画方向地图。 排除（反向）：方向尚未明确时先做方向探索（用 /问题框定 探索新方向，或用 /读需求 拆解已有 PRD，或用 /启发评估 诊断改版项目）；细化为可执行场景（用 /用户故事）；画用户体验旅程（用 /用户旅程）；产出工程交付文档（用 /写PRD）；做向上汇报材料（用 /设计提案）。

ahang1598 Skill

产品设计套件入口 B：新产品方向探索。当用户是设计师（UX / UI / 视觉 / 体验设计师），面对一个无 PRD、模糊想法的新产品 / 新平台 / 新工具 / 新功能时，第一个该启动的 Skill。 与 product-management（产品管理）套件互补，服务不同角色： - 用户是设计师要做设计方向探索 / 推出设计简报锚点 → 用本 Skill ✅ - 用户是产品经理要做创意发散 / 写 PRD → 请用 product-management 套件（产品脑暴 / /产品需求 生成） 本 Skill 扮演 PM 思维教练角色，5-10 轮对话从模糊问题域推到方向锚点。差异化产出（与 PM 套件不同）：Persona Card（ASCII 视觉锚点）+ Direction Lean（A/B/C 三方向押一个）+ 关键假设 + 可选 HMW workshop 卡片 + 可链式串联下游 /设计简报 → /用户故事 → /用户旅程 → /站点地图 → /Web页面设计 → /写PRD 完整 20 个设计 Skill 套件。设计师产出"设计简报锚点"，不是 PM 套件的 /产品需求（那是 PM 工作）。 当用户说"问题框定"、"方向探索"、"frame"、"新方向"、"产品方向"、"方向规划"、"设计方向"、 "启动新项目"、"启动新 feature"、"新需求探索"、"new product idea"、"product direction"、 "没有 PRD"、"白纸状态"、"不知道从哪开始"、"需要 PM 思维"、"帮我想想"、 "我想做 X"、"做 X 怎么开始"（设计师语境）、 "机会点映射"、"opportunity mapping"、"JTBD"、"Job To Be Done"、 "想法压测"、"pressure test"、"validate this idea"、"方向验证"、 "HMW 卡片"、"workshop 准备"、"设计简报前的方向探索"、"/设计简报 前置探索"时触发。 排除（反向）： - 用户是产品经理要写 PRD / 创意发散 → 用产品管理套件 - 已有 PRD 文档需提炼 → 用 /读需求（本套件入口 A） - 改版项目要诊断现有产品 → 用 /启发评估（本套件入口 C） - 方向已对齐要写一页纸简报 → 用 /设计简报（本套件） - 方向清晰要拆解为故事 → 用 /用户故

ahang1598 Skill

设计提案 / 向上汇报。把链路上游（/问题框定 / /设计简报 / /用户故事 / Flow / /设计走查 / QA）的产物重新编排为决策者能理解、能拍板的说服性叙事——6 段式：The Bet / Why Now / User+JTBD / Direction / Design Decisions / Asks。让设计师从"展示设计稿"升级为"讲设计决策"，从"汇报完没结论"升级为"明确知道要拍什么"。 触发关键词：设计汇报、设计评审、向上汇报、/设计提案、设计提案、design review、设计周会、给老板看、给 PM 讲、决策对齐、stakeholder presentation。 排除（反向）：工程交付文档（用 /写PRD）、设计稿走查（用 /设计走查）、用户故事拆解（用 /用户故事）、对外营销文案（不在本 Skill 范围）。

ahang1598 Skill

产品设计套件入口 A：有 PRD 解读。当用户是设计师拿到 PRD / 需求文档 / Notion / Confluence / Slack 消息 / 飞书文档等结构化或半结构化需求输入，要从中提炼设计相关字段时，第一个该启动的 Skill。团队设计师最常见入口（多数项目从 PM 给 /产品需求 开始）。 与 product-management（产品管理）套件互补，服务不同角色： - 用户是设计师拿到 /产品需求 要拆设计字段 / 标 gaps → 用本 Skill ✅ - 用户是产品经理要写 /产品需求 → 请用 product-management 套件的 /产品需求 生成 - 用户是产品经理要拆解需求做开发任务 → 请用 product-management 套件的用户故事拆解 本 Skill 把 /产品需求 解析成可结构化消费的设计字段（产品定位 / 业务目标 / 用户 / 功能清单 / 约束 / 不做什么）+ 显式标注 /产品需求 没说但设计需要的 gaps（人物锚点 / JTBD / 设计标准 / 设计策略 / 设计语调）+ 链式串联下游 /设计简报 → /用户故事 → Flow → /写PRD 完整 20 个设计 Skill。设计师消费 PM 套件的 /产品需求 ≠ 产品经理写 /产品需求。 触发关键词（前提：用户身份是设计师 / 设计师语境）： - 设计师 + [拿到 / 收到 / 看到] [PRD / 需求文档 / 需求 / 文档 / spec] - 拆解 / 解读 / 提炼 / 解析 / 拆 [/产品需求 / 需求 / spec]（设计师视角） - PM 给我了 /产品需求 / 这是一份需求 / 看一下需求 / 帮我看看需求 / 帮我分析需求 - 帮我从 /产品需求 里拆出设计需求 / 这份 /产品需求 怎么转成设计 - 有 PRD 怎么开始 / 怎么读 PRD / break down PRD / parse spec - 转化需求 / 需求转设计 / spec to design / 把需求变成设计 - 我有一个 /产品需求、/产品需求 已经写好了、/产品需求 在 Notion 里 - scope / 需求范围 / 设计范围 / requirements parsing for design 排除（反向）： - 用户是产品经理要写 /产品需求 → 用 product-management

ahang1598 Skill

把已对齐的设计方向（/设计简报 / /问题框定）拆解为可执行的用户故事，每个故事用真实人物名 + JTBD + 验收标准 + 设计触点描述，让设计师直接据此进入 Flow / 单屏设计；同时可向工程侧输出，作为 /写PRD 的素材源。 触发关键词：写用户故事、user story、把方向拆成故事、拆解需求、break this down、designer story、/用户故事、把 /设计简报 变成可设计的、需要写故事。 排除（反向）：仅做工程交付 PRD（用 /写PRD）、仅做用户旅程图（用 /用户旅程）、仅做设计简报（用 /设计简报）。

ahang1598 Skill

输入功能需求描述，生成结构化PRD文档，含背景分析、目标定义、功能清单、交互说明、数据埋点和验收标准。 按产品类型（B2C/B2B/内部工具/平台型）走差异化模板。连接~~Notion后可直接写入团队知识库。 当用户说"写PRD"、"需求文档"、"产品需求"、"功能文档"、"PRD模板"、"撰写需求说明书"、"feature spec"、 "产品需求文档"、"功能规格"、"需求规格说明"、"写需求"、"出需求文档"时触发。

ahang1598 Skill

汇总迭代状态、评估里程碑进度、记录优先级变更，输出路线图更新报告和下一步规划建议。 支持从~~项目管理（Linear）自动拉取项目状态。 当用户说"路线图"、"Roadmap"、"版本规划"、"迭代计划"、"里程碑"、 "迭代状态"、"版本进度"、"Sprint回顾"、"迭代周报"、"延期分析"时触发。

ahang1598 Skill

从Epic或大需求中拆解出独立可交付的User Story，附带Acceptance Criteria和Story Point估算。 内置INVEST原则校验和5种Story拆分模式库。连接~~Notion后可写入团队知识库。 当用户说"用户故事"、"需求拆解"、"AC"、"Story拆分"、"拆需求"、"拆Epic"、"写user story"、 "验收标准"、"拆任务"、"story map"、"backlog整理"、"sprint拆解"时触发。

ahang1598 Skill

输入需求列表，用RICE/ICE/MoSCoW/Kano模型辅助排序，输出优先级矩阵和Sprint规划建议。 内置框架选择决策树——根据数据充分度和决策场景自动推荐最适合的排序框架。 连接~~Notion后可将排序决策记录写入团队知识库。 当用户说"需求排序"、"优先级"、"RICE"、"ICE"、"需求排期"、"MoSCoW"、"排backlog"、 "sprint规划"、"需求取舍"、"迭代规划"、"backlog排序"、"需求评估"时触发。

ahang1598 Bundle

Based on product opportunities or user demand hypotheses, use first-principles decomposition methodology to output product definition documents (PRD), including user personas, core function definitions, technical indicators, MVP scope, and product roadmaps.

ahang1598 Bundle

模拟真实用户在亚马逊前台搜索，获取实时关键词排名和搜索结果页数据。当用户提到亚马逊商品搜索、搜索结果抓取、关键词在搜索页的排名、ASIN排名位置查询、竞品发现、搜索页价格对比、广告商品分析、新品监控、前台搜索模拟、Amazon search, keyword ranking, search results, ASIN ranking position, competitor discovery, price comparison, sponsored product analysis, real-time search, new product monitoring时触发此技能。即使用户未明确提及"搜索模拟"，只要其需求涉及实时亚马逊搜索结果、商品排位数据或前台SERP分析，也应触发此技能。

ahang1598 Bundle

基于极目数据的亚马逊商品发掘与潜力爆品挖掘。当用户提到产品挖掘、潜力爆品、高转化选品、点击增长分析、市场增长机会、关键词选品、FBA利润筛选、细分市场商品发掘、卖家来源筛选、product mining, potential bestsellers, high-conversion product selection, market growth opportunities, Jiimore data, FBA profitability screening, keyword-based product selection时触发此技能。即使用户未明确提及"极目"，只要其需求涉及基于转化率、点击量和利润指标的亚马逊关键词驱动选品，也应触发此技能。

ahang1598 Bundle

按ASIN查找亚马逊同细分市场（Niche）竞品，支持点击转化率、综合转化率、点击量、销量、评论、评分、价格、毛利率等多维度筛选潜力竞品。当用户提到同细分竞品、ASIN竞品挖掘、Niche竞品分析、同类商品对标、ASIN对标分析、细分市场竞品列表、高转化竞品筛选、极目产品挖掘、niche competitor by ASIN, ASIN competitor analysis, same niche products, similar products discovery, conversion rate comparison, potential competitor screening, Jiimore ASIN mining时触发此技能。即使用户未明确提及"细分市场"或"Niche"，只要其需求涉及根据某个ASIN挖掘同细分下的竞品列表或筛选潜力竞品，也应触发此技能。

ahang1598 Bundle

使用卖家精灵数据在亚马逊上查找和分析竞品，覆盖12个站点，包含销量、BSR、定价、评分和增长趋势等商品指标。当用户提到竞品查询、竞品分析、ASIN反查、竞争商品研究、查找相似商品、市场竞品发现、商品对标、竞品销量估算、分析竞争Listing、competitor analysis, ASIN reverse lookup, competitor sales, competitor research, SellerSprite, market competitor discovery, competitor trends时触发此技能。即使用户未明确提及"卖家精灵"或"竞品查询"，只要其需求涉及通过ASIN、关键词、卖家名称、品牌或品类发现和分析亚马逊竞品，也应触发此技能。

johnalbertini14-glitch Bundle

Search B2B leads and companies, find/validate emails via Generect Live API. Use when the user needs to find people by job title/company/industry, search companies by ICP, generate business emails from name+domain, or validate email addresses. Covers lead generation, prospecting, enrichment, and email discovery workflows.

johnalbertini14-glitch Bundle

Ops-focused Proxmox VE management via REST API — monitor, control, provision, and troubleshoot VMs and LXC containers with battle-tested operational patterns. Use when asked to: - List, start, stop, restart VMs or LXC containers - Check node status, cluster health, or resource usage - Create, clone, or delete VMs and containers - Manage snapshots, backups, storage, or templates - Resize disks (API + in-guest filesystem steps) - Query guest agent for IP addresses - View tasks or system event logs Includes helper script (pve.sh) with auto node discovery from VMID, operational safety gates (read-only vs reversible vs destructive), vmstate snapshot warnings, post-resize guest filesystem steps, and a separate provisioning reference. Requires: curl, jq. Writes: ~/.proxmox-credentials (user-created, API token, mode 600). Network: connects to user-configured Proxmox host only (HTTPS, TLS verification disabled for self-signed certs). Helper script: scripts/pve.sh (relative to this skill) Configuration: ~/.proxmox-cred

johnalbertini14-glitch Bundle

Plan, research, and prepare for tattoos with artist discovery, design exploration, cultural research, and aftercare guidance.

johnalbertini14-glitch Bundle

Connect to Presage prediction market terminal on Solana (powered by Kalshi). Analyze live markets, find trading opportunities, and get AI-powered insights on YES/NO outcomes for sports, crypto, politics, and more. Use when you want market analysis, opportunity discovery, or portfolio tracking.

johnalbertini14-glitch Bundle

Process [Clawfy] webhook messages from the browser extension. When a message starts with [Clawfy] (without "Pro"), identify what the user is working on and respond with intent, help offers, and relevant ClawHub skill suggestions. Uses the platform-provided `clawhub` CLI for skill discovery. Accesses recent conversation history (last 10 messages) to detect project connections. Also triggers during conversation when the user discusses building, automating, deploying, integrating, or monitoring something technical — proactively search ClawHub and include results alongside your answer.

johnalbertini14-glitch Bundle

Automatically read relevant context before major actions. Loads TODO.md, roadmap.md, handoffs, task plans, and other project context files so the AI operates with full situational awareness. Use when starting a task, implementing a feature, refactoring, debugging, planning, or resuming a session.

johnalbertini14-glitch Bundle

Send and receive files to/from nearby devices using the LocalSend protocol. Trigger with /localsend to get an interactive Telegram menu with real inline buttons — device discovery, file sending, text sending, and receiving.

johnalbertini14-glitch Bundle

Build a personal journaling practice with prompts, reflection, and pattern discovery.

johnalbertini14-glitch Bundle

Local knowledge base for links. Save URLs with summaries and tags, search later using natural language, build collections, and review your backlog with spaced repetition. Includes a standalone HTML graph view.

johnalbertini14-glitch Bundle

Run one Better Ralph iteration: PRD-driven autonomous coding. Read prd.json, pick next story, implement it, run checks, commit, mark story passed, append progress. Uses only standard OpenClaw tools (read, write, exec, git). Triggers on: run better ralph, better ralph iteration, do one ralph story, next prd story, ralph loop.

johnalbertini14-glitch Bundle

Discover, search, and manage MCP (Model Context Protocol) servers. Use when the user needs to find MCP servers, get server information, generate MCP client configurations, or work with the MCP ecosystem. Triggers on queries about MCP servers, Model Context Protocol, server discovery, or MCP configuration.

johnalbertini14-glitch Bundle

E-Discovery costs $3,000+ per GB when outsourced. edisclaw processes, deduplicates, culls, and searches ESI collections locally for a fraction of the cost—giving small firms the same firepower as Big Law's litigation support floor.

johnalbertini14-glitch Bundle

Discover and recommend live events matched to user preferences, then assist with ticket checkout on plvr.io using the web flow (no public API), including ticket selection, reservation-window handling, x402 wallet payment handoff, and post-purchase confirmation capture. Use when a user asks what events are happening, wants interesting events this weekend/tonight, asks for things to do, requests event ideas by location/date/genre/budget, asks to compare ticket options, or wants help getting access to an event.

johnalbertini14-glitch Bundle

Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, or any data extraction task.

johnalbertini14-glitch Bundle

Write effective professional messages for software teams. Use when drafting emails, Slack/Teams messages, meeting agendas, status updates, or translating technical concepts for non-technical audiences. Triggers on email, slack, teams, message, meeting agenda, status update, stakeholder communication, escalation, jargon translation.

johnalbertini14-glitch Bundle

Comprehensive toolkit for MoltbotDen (moltbotden.com) - the intelligence layer for AI agents. Den chat, weekly prompts, showcase, agent discovery, compatibility matching, heartbeat monitoring, and profile management. Use when: (1) Posting messages to MoltbotDen dens, (2) Responding to weekly prompts, (3) Discovering and connecting with compatible agents, (4) Monitoring notifications via heartbeat, (5) Posting projects to the showcase wall.

johnalbertini14-glitch Bundle

Comprehensive, research-backed Hinge dating profile optimization. Use when someone wants to improve their Hinge profile, audit an existing profile, write better prompts/captions, select and order photos strategically, or understand why they're not getting quality matches. This is the thorough process (~45 mins) - discovery interview, honest market math, photo strategy, copy creation, settings cleanup, and implementation support. Grounded in peer-reviewed behavioral research, platform data, and signaling theory.

johnalbertini14-glitch Bundle

Build long-running autonomous agent loops using ClawVault primitives (tasks, projects, memory types, templates, heartbeats). Use when setting up agent autonomy, creating task-driven execution loops, customizing primitive schemas, wiring heartbeat-based work queues, or teaching an agent to manage its own backlog. Also use when adapting primitives to an existing agent setup or designing multi-agent collaboration through shared vaults.

johnalbertini14-glitch Bundle

View, create, cancel, bid, and claim Aavegotchi GBM auctions on Base mainnet (8453). Subgraph-first discovery (Goldsky), with onchain verification + execution via Foundry cast. Safety-first: DRY_RUN defaults to 1 (simulate with cast call; only broadcast with cast send when DRY_RUN=0 and explicitly instructed).