prd-analysis
PRD parsing and task decomposition patterns for intake workflows.
Best use case
prd-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
PRD parsing and task decomposition patterns for intake workflows.
Teams using prd-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/prd-analysis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How prd-analysis Compares
| Feature / Agent | prd-analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
PRD parsing and task decomposition patterns for intake workflows.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# PRD Analysis and Task Decomposition
Patterns for parsing PRDs and generating comprehensive task documentation.
## Critical Success Criteria
Output quality is measured by how well agents can implement tasks WITHOUT needing to re-read the PRD. Each task must be **self-contained** with all necessary context embedded.
## Structured Analysis (Chain of Thought)
Before generating tasks, think step-by-step:
1. **Analyze PRD Structure** - Identify features, tech requirements, implicit dependencies
2. **Map Dependencies** - What depends on what? Shared infrastructure needs?
3. **Define Task Boundaries** - Atomic, single responsibility, independently testable
4. **Generate Implementation Details** - Pseudo-code, file structures, library versions
5. **Define Test Strategies** - Acceptance criteria, unit/integration/E2E guidance
6. **Self-Verify** - All requirements covered? No circular deps? Valid ordering?
## Service Discovery
Before generating any tasks, analyze the PRD to identify all services and their tech stacks.
Create a **Service-to-Agent Mapping Table**:
| Service Name | Agent | Tech Stack | Description |
|--------------|-------|------------|-------------|
| Notification Router | rex | Rust/Axum | High-performance API |
| Integration Service | nova | Bun/Elysia/Effect | Channel delivery |
| Admin API | grizz | Go/gRPC | Tenant management |
| Web Console | blaze | Next.js/React/shadcn | Admin dashboard |
| Mobile App | tap | Expo/React Native | Mobile client |
| Desktop Client | spark | Electron | Desktop notifications |
## Agent Assignment Rules
### Implementation Agents (Write Code)
| Agent | Language/Stack | Use For |
|-------|---------------|---------|
| **bolt** | Kubernetes/Helm | Infrastructure (Task 1 ONLY) |
| **rex** | Rust/Axum/Tokio | Rust backend services |
| **grizz** | Go/gRPC/Chi | Go backend services |
| **nova** | Bun/Elysia/Effect | TypeScript backend |
| **blaze** | Next.js/React/shadcn | Web frontends |
| **tap** | Expo/React Native | Mobile apps |
| **spark** | Electron | Desktop apps |
### Support Agents (Review Only - AFTER Implementation)
| Agent | Role | Use ONLY For |
|-------|------|--------------|
| **cleo** | Quality Review | Code review AFTER PR |
| **cipher** | Security Audit | Security audit AFTER PR |
| **tess** | Testing | Writing tests AFTER PR |
| **atlas** | Integration | Merging PRs AFTER reviews |
**CRITICAL**: Support agents are NEVER assigned to implementation tasks.
## Task 1: Always Infrastructure
Task 1 must ALWAYS be assigned to Bolt to provision:
- Databases (PostgreSQL, MongoDB)
- Caches (Redis/Valkey)
- Message queues (Kafka, NATS)
- Object storage (SeaweedFS S3)
## Code Signatures in Details
Include language-specific function/struct signatures in task details:
### Rust Example
```rust
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Notification {
pub id: Uuid,
pub tenant_id: Uuid,
pub channel: Channel,
}
pub async fn create_notification(
State(state): State<AppState>,
Json(req): Json<CreateNotificationRequest>,
) -> Result<Json<NotificationResponse>, ApiError>
```
### TypeScript/Effect Example
```typescript
import { Schema } from "@effect/schema"
import { Effect } from "effect"
export const Integration = Schema.Struct({
id: Schema.UUID,
name: Schema.String,
channel: Schema.Literal("slack", "discord", "email"),
})
```
### Go Example
```go
type TenantServiceServer struct {
pb.UnimplementedTenantServiceServer
db *pgxpool.Pool
}
func (s *TenantServiceServer) CreateTenant(
ctx context.Context,
req *pb.CreateTenantRequest,
) (*pb.Tenant, error)
```
## Task JSON Format
```json
{
"tasks": [
{
"id": "1",
"title": "Provision Infrastructure",
"description": "Deploy PostgreSQL, Redis, Kafka clusters",
"priority": "critical",
"status": "pending",
"dependencies": [],
"agentHint": "bolt",
"details": "Full implementation details with code signatures",
"testStrategy": "Verification commands and expected outputs"
}
]
}
```
## Quality Checklist
Before finalizing:
- [ ] Service table created with all services from PRD
- [ ] Task 1 is `agentHint: "bolt"` for infrastructure
- [ ] Every task has `agentHint` set
- [ ] Implementation agents only for code tasks
- [ ] Support agents ONLY for review/audit tasks
- [ ] Code signatures in details for all implementation tasks
- [ ] No auth/jwt/oauth tasks assigned to cipher
- [ ] Dependencies form valid DAG (no cycles)
- [ ] Implementation tasks depend on task-1
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