Product & Planning

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Use Ask GraphQL MCP to handle Web3 and on-chain questions through GraphQL endpoints (especially SubQuery/SubGraph). Trigger by default for blockchain/Web3-related user requests (metrics, protocol activity, token/pool/staking/governance analysis, query debugging). On trigger, use graphql_agent with the user's natural-language request (session tool if available, otherwise call Ask MCP via HTTP JSON-RPC). If endpoint is missing, run graphql-endpoint-discovery first; ask user only when no reliable candidate is found. Use when this capability is needed.

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Interview-driven constraint discovery across 5 categories (business, technical, UX, security, operational) Use when this capability is needed.

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Automated hypothesis generation and testing using large language models. Use this skill when generating scientific hypotheses from datasets, combining literature insights with empirical data, testing hypotheses against observational data, or conducting systematic hypothesis exploration for research discovery in domains like deception detection, AI content detection, mental health analysis, or other empirical research tasks. Use when this capability is needed.

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Multi-agent autonomous startup system for Claude Code. Takes PRD to fully deployed, revenue-generating product with zero human intervention.

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PRD Manager

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Use when analyzing an existing codebase for architecture, tech stack, conventions, and infrastructure. Covers project structure mapping, data model discovery, integration point cataloging, and constraint identification. Do not use for schema changes (use schema-design) or API contract definition (use api-design).

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Use when converting PRD/requirements into JSON format for Ralph Wiggum autonomous loops. Extracts user stories, orders by dependency (schema first, then backend, then UI, then dashboard), auto-adds standard criteria (typecheck, build, lint, tests), outputs structured JSON ready for autonomous iteration.

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Install and configure MCP servers across desktop and CLI clients (Claude, Cline, Windsurf, Cursor, VSCode, Gemini CLI, Codex, Trae, Antigravity, etc.) on macOS/Windows/Linux, preferring @smithery/cli when supported and otherwise performing manual JSON config updates and path discovery. Use when this capability is needed.

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Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be". Helps quantify product-market fit and systematically improve it. The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.

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Generate a consolidated index of Logics documents. Use when Codex should build or refresh `logics/INDEX.md` summarizing requests, backlog items, and tasks with titles and progress. Use when this capability is needed.

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Run risky changes through 8 disciplined phases that map, build, fix, and verify — each unlocks more power only if work stays honest and resumable. Use when a spec or audit needs parallel discovery, lane execution, checkpoints surviving context loss, and a ship-or-die finale. Use when this capability is needed.

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技术架构专家 (Tech Architect Expert)。专注于将用户 PRD 转化为详细的技术规格说明书 (Detail Tech Spec)，定义数据结构、API 契约和边界测试用例。 Use when this capability is needed.

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Generate a character mascot for any project — a wide hero illustration plus two character-consistent variants (avatar + empty-state) — derive a favicon set from the mascot avatar, and wire them into the README and the landing page. Uses OpenAI gpt-image-1 (with /v1/images/edits for character consistency across variants) or falls back to Google Gemini Nano Banana 2. Derives the prompt from the README + 'Why <name>' rationale + any CONTEXT.md / parent PRD so the character matches the app's spine. Idempotent — re-run to regenerate. Use when the user says "generate a mascot", "give this project a mascot", "make a little character for the app", "brand this with a character", or "add a mascot to the README". Sibling of /ro:share-assets (which embeds this as its hero/mascot step) and /ro:generate-image (which is generic image-gen, not project-aware). Use when this capability is needed.

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Skills for network reconnaissance including scanning, enumeration, and service discovery. Use when this capability is needed.

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Publication-figure overlay for draw.io. Use instead of the general drawio skill whenever a diagram is for a paper, thesis, dissertation, journal, conference, IEEE/ACM submission, manuscript, camera-ready, Word/LaTeX figure, or other publication. Applies venue, figure-type, color, caption/legend, formula, and paper-readability gates for architecture, workflow, roadmap, network-topology, and replicated paper figures. Runs offline and YAML-first through the sibling ../drawio base for CLI, references, themes, schemas, styles, and Desktop export; never requires MCP or a live backend. Use when this capability is needed.

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AWS Lambda deployment with trebuchet CLI, DynamoDB state storage, CloudMap service discovery, WebSocket streaming via API Gateway, Lambda handler implementation, connection management, cost optimization, and production configuration. Use when deploying to AWS or implementing WebSocket realtime features. Use when this capability is needed.

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App Flight 系列的第 6 步（最后一步）——基于已经生成的 5 份文档（BRIEF / PRD / DESIGN / ARCHITECTURE / CONTENT）自动生成 AGENTS.md（Codex / Claude 入口文档）+ CLAUDE.md（一句话指向 AGENTS.md）。完成后用户在 Xcode 中创建项目并把文档放入，Codex 或 Claude 打开就能立即理解项目并开始写代码。当用户已经走完 CONTENT.md 准备进入最后一步、或者说"帮我生成 AGENTS.md / 让 AI 能上手这个项目 / wrap up the App Flight"时，请务必使用这个 skill。这是 App Flight 流程的第 6 步（BRIEF → PRD → DESIGN → ARCHITECTURE → CONTENT → **AGENTS**）。 Use when this capability is needed.

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Build and update Rainze code using the PRD, tech stack, and module sub-PRDs. Use this when writing Python/Rust for Rainze, aligning with the architecture, method signatures, class/layout definitions, and coding standards under .github/references. Use when this capability is needed.

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Produce full standard-flow PRD with FR/NFR and testable AC after brief/research and before architecture Use when this capability is needed.

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Multi-agent coding swarm. Planner / worker / merger over git worktrees on the Max plan. Reads a grilled PRD from `.ralph/<name>/prd.md` OR a pre-ranked queue from `/ro:night-shift`, dispatches parallel Claude Code Agent workers (one per vertical-slice issue in its own git worktree) with hybrid file-area conflict detection, and a merger Agent reviews + merges clean work back to the target branch. Defers to /ro:repo-mode for `--github` default — `personal` repos open PRs and create issues; `work` repos run fully local with no GH side-effects so the swarm stays invisible to the work GH/Jira/ADO project. Alias `/ro:swarm`. Use when you want to kick off the swarm, run a planner+worker swarm, parallel-implement a backlog, run an AFK night-shift coding session, or scale a PRD beyond what a single Ralph loop can chew through. For multi-wave indefinite drain + refill, use `/ro:night-shift` (which wraps this). Use when this capability is needed.

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Create and validate product requirements documents (PRD). Use when writing requirements, defining user stories, specifying acceptance criteria, analyzing user needs, or working on requirements.md files in .start/specs/. Includes validation checklist, iterative cycle pattern, and multi-angle review process. Use when this capability is needed.

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Core concepts for goal-driven agents - architecture, node types, tool discovery, and workflow overview. Use when starting agent development or need to understand agent fundamentals. Use when this capability is needed.

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Fetch tasks from Linear backlog and handle user selection. Saves selected task context for use in feature/bug/plan workflows. Reduces context usage by consolidating Linear API interactions. Use when this capability is needed.

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AI-powered task management CLI for project initialization, PRD parsing, task breakdown, and execution with multi-provider AI support Use when this capability is needed.

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Audits codebase using an agent team with 3 domain-specialized reviewers (security, reliability, quality). Triages open Sentry issues (creates Linear issues for real bugs, resolves/ignores noise). Creates Linear issues in Backlog state for findings. Use when user says "audit", "find bugs", "check security", "review codebase", or "team audit". Higher token cost, faster and deeper analysis. Falls back to single-agent mode if agent teams unavailable. Use when this capability is needed.

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Manages product roadmap via GitHub Issues (brainstorm, prioritize, track). Auto-validates features against project vision (from overview.md) before adding to roadmap. Use when running /roadmap command or mentions 'roadmap', 'add feature', 'brainstorm ideas', or 'prioritize features'.

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Provides standard operating procedures for the /specify phase including feature classification (HAS_UI, IS_IMPROVEMENT, HAS_METRICS, HAS_DEPLOYMENT_IMPACT), research depth determination, clarification strategy (max 3, informed guesses for defaults), and roadmap integration. Use when executing /specify command, classifying features, generating structured specs, or determining research depth for planning phase. (project)

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Generate comprehensive UI/UX wireframes with component specifications, API interactions, and responsive behavior notes. Use when the user needs visual layouts for features, screens for a PRD, or a UI specification for developers. Triggers on requests like "create wireframes", "design the UI", "layout the screens", or "mockup the interface". Use when this capability is needed.

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Roadmap and analysis of potential improvements, design trade-offs, and feature priorities. Use when planning new features, evaluating what to build next, or understanding why certain approaches were chosen or rejected. Use when this capability is needed.

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Use when testing GraphQL APIs for common vulnerabilities including introspection exploitation, authorization bypasses, batching abuse, and denial of service. Covers endpoint discovery, schema analysis, and exploitation of GraphQL-specific features like federation and directives.

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GTM Strategy

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Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Includes strategy analyzer, financial scenario modeling, board governance frameworks, and investor relations playbooks. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making executive decisions, or when user mentions CEO, strategic planning, board meetings, investor updates, organizational leadership, or executive strategy. Use when this capability is needed.

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Generate structured prompts for autonomous AI work. Creates PROMPT.md with phases, validation criteria, and completion promise from a rough description or PRD. Use when this capability is needed.

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Use this skill to access Reddit's full data archive via reddapi.dev API. Features semantic search, subreddit discovery, and real-time trend analysis. Perfect for market research, competitive analysis, and niche opportunity discovery.

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Designs machine-learning assisted systematic review workflows. Use for active-learning screening, deduplication, study classification, LLM-assisted extraction, risk-of-bias triage, topic modeling, moderator discovery, and audit logs, while preserving human verification and transparent evidence-synthesis decisions. Use when this capability is needed.

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Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, or Copilot. Use when this capability is needed.