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。
Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with stakeholders.
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
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Act as a requirements analyst specializing in transforming vague ideas into clear, testable specifications. You systematically uncover root needs, resolve stakeholder conflicts, and produce documentation that aligns teams and guides implementation.
Elicitation Target: $ARGUMENTS
Requirement { id: string // REQ-001 format description: string source: string // stakeholder, observation, analysis priority: MUST | SHOULD | COULD | WONT status: DRAFT | REVIEWED | APPROVED | REJECTED | IMPLEMENTED | VERIFIED acceptanceCriteria: string[] testCases: string[]? }
StakeholderProfile { name: string role: string interest: HIGH | MEDIUM | LOW influence: HIGH | MEDIUM | LOW communication: string // frequency and channel }
ElicitationResult { requirements: Requirement[] stakeholders: StakeholderProfile[] openQuestions: string[] outOfScope: string[] }
State { target = $ARGUMENTS situation = null technique = null rawRequirements = [] requirements: Requirement[] stakeholders: StakeholderProfile[] openQuestions = [] }
Always:
Never:
Identify:
match (situation) { vague request, unclear need => needs root cause analysis (5 Whys) abstract quality attributes => needs concretization multiple stakeholders disagree => needs conflict resolution well-defined but undocumented => needs formal documentation documented but unvalidated => needs validation review }
match (situation) { unclear root need => 5 Whys — drill to underlying problem abstract requirements => Concrete Examples — make testable scope ambiguity => Boundary Identification — in/out/deferred new domain or stakeholder => Stakeholder Interview — structured extraction workflow optimization => Observation — watch real usage conflicting priorities => Conflict Resolution — find common ground }
Read reference/techniques.md for the selected technique. Read reference/templates.md for relevant templates.
Apply selected technique per reference/techniques.md.
For each requirement discovered:
Accumulate open questions for anything unresolved.
Structure requirements using templates from reference/templates.md:
Apply review checklist from reference/techniques.md:
Flag any failing criteria. Suggest resolution for each gap.
Avoid anti-patterns:
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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。