Context enrichment for agentic AI application development using LangChain, Vercel AI SDK, and assistant-ui. Use when building AI agents, chat interfaces, tool-calling pipelines, RAG systems, or multi-step AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Create and validate solution design documents (SDD). Use when designing architecture, defining interfaces, documenting technical decisions, analyzing system components, or working on solution.md files in .start/specs/.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
Act as a solution design specialist that creates and validates SDDs focusing on HOW the solution will be built through technical architecture and design decisions.
State { specDirectory = "" // the active spec's dir: .start/specs/[NNN]-[name]/ prd = "" // path to requirements.md in specDirectory sdd = "" // path to solution.md in specDirectory }
The SDD's output contract — section statuses, the ADR (ADRStatus) shape, required fields — lives in
reference/output-format.md, which is authoritative. Don't restate those shapes here; a second copy only drifts.
Always:
NFR-N quality gates where the design realizes them — never restate them.[ASSUMPTION] entries.mermaid diagrams over ASCII for architecture/data-flow, > [!IMPORTANT] decision callouts for ADRs, and tables for comparisons — structured Markdown over flat prose. Keep a stable heading spine.Never:
.start/specs/[NNN]-[name]/solution.mdRead the PRD from specDirectory to understand requirements. Read the template from template.md. Write the template to specDirectory/solution.md. If the feature has a UI or spans more than one component, read reference/conditional-sections.md and add those sections. Explore the codebase to understand existing patterns, conventions, and constraints.
Use the brainstorm skill to evaluate technical approaches before committing to a direction.
Focus on understanding:
User selects an approach before step 3 invests in deep research.
Launch parallel specialist agents to investigate:
Depth requirement: Agent findings must go beyond naming patterns. Every finding must explain:
A finding like "use repository pattern" is incomplete. "Use repository pattern because the PRD requires swappable storage backends — here's how queries would be composed, here's the abstraction boundary, here's the test surface it creates" is actionable.
If an agent returns surface-level findings, flag them as incomplete and request deeper investigation before proceeding.
Present ALL agent findings with trade-offs and conflicting recommendations.
Update the SDD with research findings. Replace [NEEDS CLARIFICATION] markers with actual content. Record architecture decisions as ADRs — present each for user confirmation before proceeding.
The drafted SDD is human-owned; this step runs an independent review panel over it as a dynamic workflow and grades it. The panel covers the coverage, traceability, MECE, and design-risk items in validation.md — you do not hand-review those yourself.
These instructions are the opt-in: read reference/review-workflow.md, then call the Workflow tool
directly with an inline script that implements it exactly. Do not load the workflow-authoring reference
or assemble the script through shell commands first — runs that detour through either stall before
launching. Pass
prdPath (requirements.md), sddPath (the drafted solution.md), and reportPath (review.md in the
spec dir) as absolute paths.
Choose model and effort per stage: the design-risk lens and its verifier need the strongest model;
the mapping lenses (coverage, traceability, MECE) can run on a smaller, faster model. A verifier never
runs on a weaker model than the lens it checks. When unsure, omit model so the stage inherits the
session model.
When it returns (shape in reference/review-workflow.md):
reportPath: the grade (grade.overall + per-dimension scores) and the confirmed
findings grouped by dimension.fail dimension, drive the fix WITH THE USER — a design change may require an ADR confirmation.
Then re-run the workflow to re-grade. Do not complete the SDD while any dimension is fail.reviewReady (no failing dimensions) is the gate to complete the design.Read reference/output-format.md and format the status report accordingly. Ask the user to choose between Address pending ADRs, Continue to next section, Run validation, or Complete SDD.
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Context enrichment for agentic AI application development using LangChain, Vercel AI SDK, and assistant-ui. Use when building AI agents, chat interfaces, tool-calling pipelines, RAG systems, or multi-step AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Deep-research analysis of a codebase, a topic, or both. Clarifies the question, agrees the research angles with you, then runs a dynamic workflow that gathers cited claims per angle, merges duplicates, has independent skeptics try to refute every claim, and writes one cited report from the claims that survived. Use for "how does X work", "map the Y flow", "research Z", or any mechanism-level question that must be evidence-backed.
日本語の概要は準備中です。原文の説明を表示しています。
REST and GraphQL API design patterns, OpenAPI/Swagger specifications, versioning strategies, and authentication patterns. Use when designing APIs, reviewing API contracts, evaluating API technologies, or implementing API endpoints.
日本語の概要は準備中です。原文の説明を表示しています。
System architecture patterns including monolith, microservices, event-driven, and serverless, with C4 modeling, scalability strategies, and technology selection criteria. Use when designing system architectures, evaluating patterns, or planning scalability.
日本語の概要は準備中です。原文の説明を表示しています。
Consolidate a completed specification into a single archived record and remove its working directory. Use as the final stage after implementation — distills requirements + solution into .start/archive/[NNN]-[name].md and deletes the .start/specs/[NNN]-[name]/ directory.
日本語の概要は準備中です。原文の説明を表示しています。
Required first step before any creative work — creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements, and design before implementation.
日本語の概要は準備中です。原文の説明を表示しています。