spec-workflow
Use when medium-to-large changes need explicit requirements, technical design, and task planning before implementation, especially for multi-module work, unclear acceptance criteria, or architecture-heavy requests.
What this skill does
## Standalone Install Note If this environment only installed the current skill, start from the CloudBase main entry and use the published `cloudbase/references/...` paths for sibling skills. - CloudBase main entry: `https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/SKILL.md` - Current skill raw source: `https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/spec-workflow/SKILL.md` Keep local `references/...` paths for files that ship with the current skill directory. When this file points to a sibling skill such as `auth-tool` or `web-development`, use the standalone fallback URL shown next to that reference. # Spec Workflow ## Activation Contract ### Use this first when - The request is a new feature, multi-step product change, cross-module integration, or architecture/design task. - Acceptance criteria are unclear and need to be made explicit before implementation. - The work involves multiple files, user flows, database design, or UI design that needs staged confirmation. ### Read before writing code if - You are unsure whether the task should go straight to coding or should first go through requirements, design, and task planning. - The request mentions a new page, a new system, a redesign, a workflow, or a multi-module refactor. ### Then also read - Frontend page or visual design work -> `../ui-design/SKILL.md` (standalone fallback: `https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/ui-design/SKILL.md`) - Advanced data-model work -> `../data-model-creation/SKILL.md` (standalone fallback: `https://cnb.cool/tencent/cloud/cloudbase/cloudbase-skills/-/git/raw/main/skills/cloudbase/references/data-model-creation/SKILL.md`) ### Do NOT use for - Small bug fixes with clear scope. - One-file documentation updates. - Straightforward config changes. - Tiny refactors where the user already gave exact implementation instructions. ### Common mistakes / gotchas - Jumping into coding before acceptance criteria are explicit. - Skipping user confirmation between requirements, design, and tasks. - Writing vague tasks that do not map back to user-visible outcomes. - Treating UI work as purely technical implementation without clarifying design intent. ### Minimal checklist - Decide whether the change really needs the full spec flow. - If yes, stop and produce requirements first. - If the change is small, low-risk, and acceptance is already clear, allow direct execution without forcing spec artifacts. - Use EARS-style acceptance criteria. - Get confirmation before moving to the next phase. ## When to use this skill Use this workflow for structured development when you need to: - Define or refine a new feature - Design complex architecture - Coordinate changes across modules - Plan database or UI-heavy work - Improve requirement quality and acceptance boundaries ## Decision rule ### Use the full workflow when - The task is medium or large - The impact spans multiple modules - Acceptance boundaries are fuzzy - The user wants disciplined planning before implementation ### Skip the full workflow when - The task is small, low-risk, and already precise - Goal, scope, and acceptance are already clear enough to execute directly - The user explicitly wants a direct code change with no planning phase ## Core workflow ### Phase 1: Requirements Create `specs/<spec_name>/requirements.md`. What to do: - Restate the problem and scope - Write user stories - Write acceptance criteria in EARS style - Clarify business rules, constraints, and non-goals EARS pattern: ```text While <optional precondition>, when <optional trigger>, the <system name> shall <system response> ``` Example: ```text When the user submits the form, the booking system shall validate required fields before creating the record. ``` ### Phase 2: Design Create `specs/<spec_name>/design.md`. What to do: - Describe architecture and module boundaries - Explain technology choices and trade-offs - Define data model, API, security, and testing strategy as needed - Use Mermaid only when a diagram materially improves clarity ### Phase 3: Tasks Create `specs/<spec_name>/tasks.md`. What to do: - Break the design into executable tasks - Keep tasks specific and reviewable - Link each task back to the relevant requirement - Update task status as work progresses Task format: ```markdown # Implementation Plan - [ ] 1. Task title - Specific work item - Another concrete step - _Requirement: 1 ``` ### Phase 4: Execution Only start implementation after the user confirms the task plan. During execution: - Keep task status current - Finish one meaningful unit at a time - Preserve traceability from change -> task -> requirement ## Working rules for the agent 1. Ask follow-up questions when the request is underspecified; do not guess core product behavior. 2. Require confirmation between requirements, design, and task breakdown. 3. Pull in `ui-design` early when the change includes end-user pages or visual decisions. 4. Keep documents concise but testable. 5. Prefer user-visible outcomes over implementation-detail task names. ## Output expectations - `requirements.md` -> problem, scope, user stories, EARS acceptance criteria - `design.md` -> architecture, technical approach, data/API/security/test notes - `tasks.md` -> actionable implementation checklist tied to requirements
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.