Skill spec-driven-implementation
Descompone documentos de diseño aprobados en especificaciones técnicas verticales que consisten en archivos de requisitos, diseño y tareas.
- Estrellas en GitHub
- 16
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- 1
- Último commit
- 5 oct 2026
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- MIT
- Herramientas permitidas
- —
¿Qué hace la skill spec-driven-implementation?
spec-driven-implementation es una agent skill. Descompone documentos de diseño aprobados en especificaciones técnicas verticales que consisten en archivos de requisitos, diseño y tareas.
Resumen generado a partir del SKILL.md de la skill.
Sobre la skill spec-driven-implementation
La función principal de este SKILL es descomponer documentos de diseño aprobados en especificaciones técnicas accionables. Sirve como un puente para ingenieros que tienen un plano a nivel de sistema pero necesitan instrucciones precisas e implementables. En lugar de pasar directamente al código, un agente utiliza este SKILL para dividir un diseño macro en múltiples cortes verticales, cada uno de los cuales representa una unidad de valor entregable de forma independiente. Cada corte se documenta mediante un trío específico de archivos: requirements.md, design.md y tasks.md.
Un agente debe cargar este SKILL durante la fase final de un comando de diseño después de que un Design Bar Raiser haya aprobado el documento inicial. El proceso sigue una jerarquía estricta, priorizando las especificaciones de la API antes que las especificaciones de cliente para garantizar contratos estables. El SKILL produce archivos estructurados que incluyen la notación EARS para los requisitos, diagramas Mermaid para la arquitectura y grafos de dependencias para la ejecución de tareas. Este enfoque estructurado evita desviaciones en la implementación y problemas de integración al asegurar que cada tarea sea rastreable hasta el diseño original aprobado.
Lo que un agente puede hacer con ella
- 1Descomponer diseños macro en cortes verticalesDivide un plano de sistema de gran escala en unidades de trabajo más pequeñas y entregables de forma independiente.
- 2Formalizar requisitos con notación EARSConvierte objetivos de diseño abstractos en criterios de aceptación testeables utilizando una sintaxis estandarizada.
- 3Secuenciar la implementación por riesgo técnicoOrganiza las tareas de desarrollo priorizando la infraestructura fundacional y los contratos de la API sobre las implementaciones de cliente.
- 4Generar artefactos de diseño técnico detalladosCrea documentación de arquitectura específica para cada corte, incluyendo diagramas Mermaid e interfaces de componentes.
Escrito a partir del SKILL.md de la skill. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar la skill spec-driven-implementation
Cada comando copia la carpeta de la skill al directorio de skills del cliente. Reinicia el cliente o inicia una nueva sesión para cargarla.Instalar la skill spec-driven-implementation en Plugin
/plugin marketplace add robisson/build-like-amazon-agent-skills /plugin install build-like-amazon@build-like-amazon
Instalar la skill spec-driven-implementation en Claude Code
~/.claude/skills/spec-driven-implementation/SKILL.md
$ npx degit robisson/build-like-amazon-agent-skills/skills/spec-driven-implementation ~/.claude/skills/spec-driven-implementationInstalar la skill spec-driven-implementation en Claude Code (project)
.claude/skills/spec-driven-implementation/SKILL.md
$ npx degit robisson/build-like-amazon-agent-skills/skills/spec-driven-implementation .claude/skills/spec-driven-implementationInstalar la skill spec-driven-implementation en Codex
~/.agents/skills/spec-driven-implementation/SKILL.md
$ npx degit robisson/build-like-amazon-agent-skills/skills/spec-driven-implementation ~/.agents/skills/spec-driven-implementationInstalar la skill spec-driven-implementation en Gemini CLI
~/.gemini/skills/spec-driven-implementation/SKILL.md
$ npx degit robisson/build-like-amazon-agent-skills/skills/spec-driven-implementation ~/.gemini/skills/spec-driven-implementationInstalar la skill spec-driven-implementation en Claude.ai
npx degit robisson/build-like-amazon-agent-skills/skills/spec-driven-implementation spec-driven-implementation && zip -r spec-driven-implementation.zip spec-driven-implementation # claude.ai → Customize → Skills → + → Create skill → Upload a skill → spec-driven-implementation.zip
SKILL.md
Ver en GitHubSpec-Driven Implementation
Overview
After a Design Document is approved by the Design Bar Raiser, you do NOT jump directly to code. Instead, you decompose the macro design into N vertical specs—each representing an independently deliverable unit of customer value. Each spec follows the Kiro IDE trio format:
requirements.md → design.md → tasks.md
This intermediate layer exists because macro designs are too coarse for implementation and too abstract for task tracking. A spec bridges the gap: it is precise enough to code against, small enough to deliver in 1–2 weeks, and traceable back to the approved design.
The flow:
Design Document (approved) → Spec 1 → Spec 2 → ... → Spec N → Done
↓ ↓ ↓
Implement Implement Implement
↓ ↓ ↓
Deploy Deploy Deploy
Each spec is a complete vertical slice: from customer-facing behavior at the top to infrastructure at the bottom. No spec depends on "the rest being finished" to deliver observable value.
When to Use
Important: This skill is invoked as the final phase of the design command (
/design), after the system Design Document is approved. It is NOT part of/build. By the time/buildstarts, all specs must already exist with approved requirements, design, and tasks.
- After the Design Document has been approved by the Design Bar Raiser
- Before
incremental-implementationbegins on any slice - When the approved design covers more than a single deployable unit of work
- When multiple engineers will work in parallel on different parts of the system
- When requirements need to be formalized into testable acceptance criteria
- As the last step of
/design— creating the specs that/buildwill execute
Do NOT use for:
- Trivial changes (< 2 hours of work)—go directly to implementation
- Bug fixes with clear root cause—use incremental-implementation directly
- Changes already covered by an existing spec
- Prototype/spike work (use
wb-test-and-iterateinstead)
Amazon Context
Flow Clarification: This skill is the LAST STEP of
/design. The/designcommand sequence is: design-document → api-contract-first → threat-modeling → design-review → spec-driven-implementation. Once specs are created and approved here,/buildpicks them up and executes the tasks./builddoes NOT create specs — it only reads and executes them.
This skill is the bridge in Amazon's engineering workflow:
| Layer | Artifact | Scope | Audience | Approved By |
|---|---|---|---|---|
| Macro | Design Document | System-level blueprint | All engineers, stakeholders | Design Bar Raiser |
| Micro | Spec (trio) | Single vertical slice | Implementing engineer(s) | Tech Lead / Peer |
| Execution | PR / Commit | Individual code change | Reviewer | Code Review Bar Raiser |
The Design Bar Raiser approved the macro—the overall architecture, trade-offs, cost model, and operational plan. Now you plan each slice at micro level before coding. This prevents:
- Implementation drift: Code diverges from the approved design because engineers interpret ambiguity differently
- Integration hell: Slices built in isolation don't compose correctly
- Missing edge cases: Requirements not formalized means edge cases discovered in production
- Parallelization failure: Without explicit dependency graphs, parallel work creates merge conflicts and rework
At Amazon, this maps to the practice of writing implementation plans after design approval but before sprint planning. The spec trio formalizes what many senior engineers do informally in their heads—making the reasoning explicit, reviewable, and traceable.
Template Enforcement (Non-Negotiable)
When generating spec artifacts, you MUST follow the templates EXACTLY:
-
requirements.md → Copy structure from
skills/spec-driven-implementation/templates/requirements-template.md- MUST have: Introduction, Glossary, Requirements sections
- Each requirement MUST have: User Story + Acceptance Criteria
- Acceptance Criteria MUST use EARS notation: "THE [Subject] SHALL [behavior]", "WHEN [condition] THE [Subject] SHALL [action]"
- MUST use modal verbs: SHALL, SHALL NOT, MUST, MAY
- Each criterion must be individually testable and referenceable (e.g., "1.3.a")
-
design.md → Copy structure from
skills/spec-driven-implementation/templates/design-template.md- MUST have: Overview, Architecture (with Mermaid diagrams), Components & Interfaces (with code signatures), Data Models, Error Handling, Properties (PBT), Testing Strategy, Security, Open Questions
- MUST include at least one Mermaid sequence diagram
- MUST reference requirements by number (traceability)
-
tasks.md → Copy structure from
skills/spec-driven-implementation/templates/tasks-template.md- MUST have: Legend, Phases with green-build gates, Tasks with sub-tasks
- Each task MUST have: size estimate (S/M/L/XL), traceability annotations (Requirements: X.Y, Design: §N.N, Depends on: Task X.Y), Wave assignment
- MUST end with Dependency Graph JSON showing waves
- MUST use status markers:
- [ ]pending,- [-]in progress,- [x]done,- [!]blocked
⛔ RED FLAG: If your spec output does NOT have these sections, STOP and redo it following the template. ⛔ RED FLAG: If your requirements don't use EARS notation (SHALL/WHEN/IF), STOP and rewrite them. ⛔ RED FLAG: If your tasks.md doesn't have a dependency graph with waves, STOP and add it.
The Process
1. Identify Vertical Slices from the Design Document
Read the approved Design Document and identify slices that:
| Criteria | Good Slice | Bad Slice |
|---|---|---|
| Delivers observable value | User can see/use something new | Only adds internal plumbing |
| Vertical completeness | API → Logic → Storage → Observability | Only a database migration |
| Independent deployability | Works without other slices being done | Requires slice 3 to function |
| Bounded scope | 1–2 weeks of implementation | Multi-month effort |
| Testable in isolation | Has clear acceptance criteria | "Works when everything else works" |
Outputs: A numbered list of slices with one-line descriptions and estimated effort.
2. Order Slices by Risk, API First, and Dependency
Apply the hardest-first principle (fail fast), with API First as the dominant ordering rule:
- Tier 1 — Foundation: Infrastructure, schemas, control plane, shared interfaces that others depend on. Only present when an adopted pattern (e.g., cell-based) demands it, or when a one-way door decision (e.g., partition key) must be locked first.
- Tier 2 — API: The API spec(s) implementing the customer-value contract end-to-end (handler → logic → storage → observability for that API surface). The API is the only customer-facing contract. No client spec is created before the API it consumes is specified and frozen.
- Tier 3 — Clients: UI, CLI, SDK, MCP server, AI agent, partner integration, batch job — each is its own spec, built on the now-stable API. A "client" is anything that consumes an API; the word "frontend" is too narrow.
- Tier 4 — Hardening: Edge case handling, degraded modes, performance optimization, operational polish, documentation.
Within each tier, order by dependency: if Slice B imports from Slice A, A comes first.
API First — the non-negotiable ordering rule
API specs precede client specs. When a feature involves both an API and one or more clients (UI, CLI, SDK, MCP, AI agent, batch job, partner integration), the API spec is created and approved first. Client specs are created only after the API contract is stable. This is not negotiable — it prevents the client from leaking implementation assumptions into a not-yet-frozen API surface, and it keeps every client equivalent from the contract's point of view.
The API may be REST, gRPC, an event schema, a data contract, an MCP tool surface, or an agent tool definition. The protocol does not change the rule.
If you find yourself ordering a UI spec before its API spec, stop — you have inverted the dependency. The UI cannot exist without a stable API, and any work done before the API is stable will need to be redone when the API is finalized.
Rationale: If the hardest part is impossible or needs redesign, you discover that in week 1, not week 8. Two-way door decisions (reversible) can be reordered; one-way door decisions (schema migrations, public APIs, partition keys) are sequenced carefully — and almost always live in Tier 1 or Tier 2.
3. Create a Spec for Each Slice (The Trio)
⛔ MANDATORY HUMAN REVIEW GATES: Each artifact (requirements → design → tasks) has a mandatory pause for user review. Do NOT generate the next artifact until the previous one is explicitly approved by the user.
For each slice, create three files in .bla/specs/<slice-name>/:
3.1 requirements.md
Extract and formalize requirements for this slice only from the Design Document.
- Use the EARS (Easy Approach to Requirements Syntax) format
- Each requirement has a User Story and Acceptance Criteria
- Acceptance Criteria use SHALL/MUST/MAY with WHEN/IF/WHERE conditions
- Cross-reference the Design Document section that drives each requirement
Agent: Load agents/requirements-analyzer.md and apply the requirements-analyzer persona to review the requirements for:
- Logical inconsistencies across requirements
- Ambiguous terms ("fast", "large scale", "reasonable")
- Conflicting constraints
- Unstated assumptions
- Missing edge cases and boundary conditions
The agent asks clarifying questions with suggested fixes and updates the requirements.
🚦 GATE: Present requirements.md to the user. Ask: "Review these requirements. Anything missing, ambiguous, or wrong?" Wait for explicit approval. Do NOT generate design.md until requirements are approved.
3.2 design.md
Detailed technical design for this slice only:
- Architecture specific to this slice (Mermaid diagrams)
- Component interfaces with code signatures
- Data models (schema, types, validations)
- Error handling strategy (retry, circuit breaker, fallback)
- Dependency behavior inherited from the approved Design Document (classification, timeout/retry policy, circuit breakers, bulkheads, fallback behavior, observability)
- Feature flag behavior inherited from the approved Design Document (flag type, safe default, OFF behavior, kill switch behavior, rollout metrics, cleanup)
- Operational behavior inherited from the approved Design Document (customer experience metrics, service health metrics, dashboards, alarms, runbooks, severity expectations, operational burden)
- Properties for property-based testing (PBT)
- Testing strategy (unit, integration, contract)
- Security considerations specific to this slice
This is NOT a repeat of the macro design. It adds implementation detail: exact function signatures, error codes, retry policies, concurrency handling, dependency failure behavior, feature flag behavior, operational behavior, and test properties that the macro design intentionally omits. Specs must preserve dependency-management, feature-flag lifecycle, and operational-excellence decisions from the approved Design Document rather than rediscovering them during /build.
🚦 GATE: Present design.md to the user. Ask: "Review this design. Trade-offs make sense? Anything to adjust?" Wait for explicit approval. Do NOT generate tasks.md until design is approved.
3.3 tasks.md
Decompose the design into executable tasks:
- Organized in phases with green-build gates between them
- Tasks grouped into parallelizable waves
- Each task has sub-tasks, size estimates, and traceability
- Dependency annotations link tasks to each other
- Requirement traceability links tasks to requirements
- Design references link tasks to design sections
- A dependency graph JSON at the end enables tooling
Agent: Load agents/task-planner.md and apply the task-planner persona to generate the dependency graph, identify the critical path, group tasks into waves, and flag one-way door decisions that need extra review.
🚦 GATE: Present tasks.md to the user. Ask: "Review this task plan. Dependencies correct? Sizing makes sense?" Wait for explicit approval. The spec is only ready for /build after tasks are approved.
4. Approval Gates
Each spec goes through review before execution:
| Gate | Reviewer | Focus |
|---|---|---|
| Requirements Review | Product/Tech Lead | Completeness, correctness, priority |
| Design Review | Peer Engineer | Feasibility, interface contracts, testability |
| Task Review | Tech Lead | Ordering, parallelization, risk |
A spec can be rejected back to any previous stage. Rejection is cheap at this stage—it's just markdown. Rejection after coding is expensive (throwaway code, morale damage).
5. Execute Tasks Wave-by-Wave
Once a spec is approved:
- Execute Wave 1 tasks (these have no dependencies)
- Verify green-build gate passes (all tests green, no regressions)
- Execute Wave 2 tasks (depend on Wave 1 outputs)
- Continue until all waves are complete
- Load
agents/implementation-verifier.mdand apply theimplementation-verifierpersona to validate PBT properties
Parallel execution within a wave is safe only when both of these invariants hold:
- No intra-wave logical dependency. No task in the wave consumes an output produced by another task in the same wave. This one the
task-plannerdoes guarantee — it is exactly what the dependency graph models — andpython3 tools/bla-check tasks .bla/specs/<slice-name>re-reads the emitted graph and reportsFALHA [wave-dep-intra]where the guarantee slipped, because/builddispatches only tasks whose dependencies are all[x]and a task depending on a wave-mate is therefore never dispatched in that wave. - No intersection of files written within the wave. No two tasks in the wave write the same file. This one the graph models too:
skills/spec-driven-implementation/templates/tasks-template.mdcarriesdepends_on,wave,size,type,doorandwritesper task, andwritesis the declared set of paths that task changes. The invariant is therefore checkable by comparing the declared sets: for every pair of tasks in one wave, the intersection of theirwritesmust be empty, where a path ending in/is a directory and collides with everything beneath it.python3 tools/bla-check tasks .bla/specs/<slice-name>performs that comparison and reportsFALHA [wave-writes-intersection]. A task that changes no file in the repository declares nowrites, and there is then nothing to intersect on its behalf.
Because a declared set can be wrong where a read cannot — a task may write a file it never declared — the check is necessary and not sufficient, and the serialisation rule is unchanged. When two tasks in the same wave must write the same file — a barrel of exports, a router registration, a schema migration — the intersection is mandatory and parallel execution would produce a lost write or a conflict. Serialise them: keep one task in the wave and move the colliding task to the next wave. /build closes the gap at the other end, by comparing the union of the wave's declared writes against the paths git says actually changed.
6. Post-Spec Completion
After each spec is fully implemented:
- Run
code-review-bar-raisingon the aggregate changes - Deploy using
progressive-deployment(or batch multiple specs before deploying) - Verify acceptance criteria pass in production (canary)
- Mark the spec as DONE and proceed to the next spec
7. Spec Coherence Review (Pre-Build Gate)
After all 3 spec artifacts are approved (requirements.md, design.md, tasks.md) and BEFORE the spec is handed to /build, run a coherence review to catch drift between the spec and the approved Design Document.
Reviewers: Load agents/design-bar-raiser.md and apply the design-bar-raiser persona. For one-way door decisions, also load agents/principal-engineer.md and apply the principal-engineer persona.
What they check:
- Does the spec contradict any decision from the System Design Document?
- Are all requirements traceable to sections in the Design Doc?
- Are there new architectural decisions in the spec that weren't in the Design Doc? (scope creep)
- Is the tasks.md dependency graph achievable within the architecture described?
- Are one-way door decisions in the spec consistent with the ones identified at design level?
- Are dependency-management decisions from the Design Document preserved in requirements, slice design, and tasks?
- Are feature-flag lifecycle decisions from the Design Document preserved in requirements, slice design, and tasks?
- Are operational-excellence decisions from the Design Document preserved in requirements, slice design, and tasks?
Output format (structured so the build agent can consume it directly):
## Spec Coherence Review — [Spec Name]
### Verdict: APPROVED | APPROVED WITH NOTES | NEEDS REVISION
### Coherence Matrix
| Requirement | Design Doc Section | Status | Note |
|---|---|---|---|
| Req 1.1 | §3.2 Architecture | ✅ Aligned | — |
| Req 1.2 | §3.2 Architecture | ✅ Aligned | — |
| Req 2.3 | §4.1 Data Model | ⚠️ Divergence | Spec uses DynamoDB but Design Doc specified PostgreSQL |
| Req 3.1 | §5.1 Integration | ❌ No traceability | Requirement not found in Design Doc |
### Findings
- [BLOCKING] Description of blocking issue (must fix before /build proceeds)
- [WARNING] Description of non-blocking concern (proceed with awareness)
- [NOTE] Observation or context for the implementing agent
### Action Items for Build Agent
- [ ] When implementing Req 2.3, use PostgreSQL as specified in Design Doc §4.1 (not DynamoDB as written in spec)
- [ ] Req 3.1 references a service that doesn't exist yet — implement stub first (see Task 1.2)
- [ ] One-way door in Task 2.3 (schema migration) — confirm index strategy matches Design Doc §4.3 before executing
The "Action Items for Build Agent" section is the KEY deliverable — it becomes an addendum that the build agent reads alongside tasks.md. Save the review output to .bla/specs/<slice-name>/coherence-review.md.
🚦 GATE:
- If verdict is APPROVED: Proceed to
/build. The build agent readscoherence-review.mdalongsidetasks.md. - If verdict is APPROVED WITH NOTES: Proceed to
/build. The "Action Items for Build Agent" section is mandatory reading for the build agent. - If verdict is NEEDS REVISION: Go back and fix the spec artifacts. Do NOT proceed to
/builduntil re-reviewed.
How the build agent uses this:
When /build starts on a spec, it checks for .bla/specs/<slice-name>/coherence-review.md. If present, the "Action Items for Build Agent" section is treated as binding constraints — equivalent to additional requirements that override or clarify what's in the spec. If an action item conflicts with tasks.md, the action item wins.
The Spec Format
requirements.md Format
# Requirements: [Slice Name]
## 1. Introduction
### 1.1 Context
[What part of the system this slice addresses]
### 1.2 Scope
[What is IN scope for this spec]
### 1.3 Non-Goals
[What is explicitly OUT of scope]
### 1.4 Design Document Reference
[Link to the approved Design Document section(s)]
## 2. Glossary
| Term | Definition |
|------|-----------|
| ... | ... |
## 3. Requirements
### 3.1 [Feature Area]
#### Requirement 3.1.1: [Short Name]
**User Story**: As a [role], I want [action] so that [benefit].
**Acceptance Criteria**:
1. WHEN [trigger] the system SHALL [behavior] — [rationale]
2. IF [condition] THEN the system MUST [behavior] — [rationale]
3. WHERE [context] the system MAY [behavior] — [rationale]
**Priority**: P0 | P1 | P2
**Design Ref**: §[section number] of Design Document
design.md Format
# Design: [Slice Name]
## 1. Overview
[What this slice implements and why this design approach]
## 2. Architecture
```mermaid
[Component/sequence diagram specific to this slice]
3. Components & Interfaces
3.1 [Component Name]
interface ComponentName {
method(param: Type): ReturnType;
}
Responsibilities: ... Error Contract: ...
4. Data Models
[Schema definitions, type definitions, validations]
5. Error Handling
| Error | Detection | Response | Recovery |
|---|---|---|---|
| ... | ... | ... | ... |
6. Properties (PBT)
| Property | Formal Statement | Generator Strategy |
|---|---|---|
| Idempotency | f(f(x)) = f(x) for all x | Random valid inputs |
| Monotonicity | if a ≤ b then f(a) ≤ f(b) | Ordered pairs |
7. Testing Strategy
| Level | What | How | Coverage Target |
|---|---|---|---|
| Unit | Pure logic | PBT + example-based | 90%+ |
| Integration | Component boundaries | Contract tests | All interfaces |
| E2E | User-facing flows | Acceptance criteria | All P0 requirements |
8. Security
[Authentication, authorization, data protection for this slice]
9. Open Questions
[Unresolved decisions to discuss during review]
### tasks.md Format
```markdown
# Tasks: [Slice Name]
## Legend
- 🏗️ Infrastructure / Setup
- 🔧 Implementation
- 🧪 Testing
- 📖 Documentation
- 🚀 Deployment
- 🔒 One-way door (irreversible — needs explicit approval)
- 🔓 Two-way door (reversible — bias for action)
- ✅ Green-build gate
## Phase 1: Foundation
✅ **Green-build gate**: All existing tests pass. CI pipeline green.
### Task 1.1: [Task Name] 🏗️ 🔓
_Size: S | Requirements: 3.1.1 | Design: §3.1_
_Depends on: None (Wave 1)_
- [ ] Sub-task A
- [ ] Sub-task B
- [ ] Sub-task C
### Task 1.2: [Task Name] 🔧 🔓
_Size: M | Requirements: 3.1.2, 3.2.1 | Design: §3.2_
_Depends on: Task 1.1_
- [ ] Sub-task A
- [ ] Sub-task B
## Phase 2: Core Logic
✅ **Green-build gate**: Phase 1 tests pass. New interfaces compile. No regressions.
### Task 2.1: [Task Name] 🔧 🔓
_Size: L | Requirements: 3.2.1 | Design: §4.1_
_Depends on: Task 1.2 (Wave 2)_
- [ ] Sub-task A
- [ ] Sub-task B
- [ ] Sub-task C
- [ ] Sub-task D
## Dependency Graph
```json
{
"tasks": {
"1.1": { "depends_on": [], "wave": 1, "size": "S", "writes": ["src/domain/types.ts"] },
"1.2": { "depends_on": ["1.1"], "wave": 1, "size": "M", "writes": ["src/db/schema.ts"] },
"2.1": { "depends_on": ["1.2"], "wave": 2, "size": "L", "writes": ["src/service/resource-service.ts"] }
},
"critical_path": ["1.1", "1.2", "2.1"],
"waves": {
"1": ["1.1", "1.2"],
"2": ["2.1"]
}
}
## Three Specialized Sub-Agents
Archivos de esta skill
1Preguntas sobre la skill spec-driven-implementation
¿Cómo instalo la skill spec-driven-implementation en Claude Code?
Ejecuta npx degit robisson/build-like-amazon-agent-skills/skills/spec-driven-implementation ~/.claude/skills/spec-driven-implementation. Claude Code carga las skills desde ~/.claude/skills (todos los proyectos) o .claude/skills (un proyecto) y usa una skill cuando su descripción coincide con la tarea.
¿Qué clientes pueden usar la skill spec-driven-implementation?
Cualquier cliente que lea el formato Agent Skills: Claude Code, Codex, Gemini CLI y claude.ai (subir como ZIP). Los scripts de la skill se ejecutan solo donde el cliente permite la ejecución de código.
¿Cuál es el propósito del formato spec trio?
El formato trio (requirements.md, design.md y tasks.md) actúa como una capa intermedia entre los diseños macro y el código, proporcionando unidades de trabajo precisas y entregables.
¿Cuál es la regla de orden obligatoria para la implementación?
La regla 'API First' no es negociable, lo que significa que las especificaciones de la API deben crearse y aprobarse antes que cualquier especificación de cliente (como UI o SDKs) para evitar desviaciones en la implementación.