SD

sdlc-impl-planning

Generates an ordered implementation plan with dependency mapping and risk identification.

Install

mkdir -p .claude/skills/sdlc-impl-planning && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/14518" && unzip -o skill.zip -d .claude/skills/sdlc-impl-planning && rm skill.zip

Installs to .claude/skills/sdlc-impl-planning

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Create an ordered implementation plan for a TriStar feature. Builds file dependency graph, maps acceptance criteria to files, defines wave-based execution order, and identifies risks.
183 charsno explicit “when” trigger
Advanced

Key capabilities

  • Build an ordered implementation plan for a feature
  • Map acceptance criteria to files and test strategies
  • Define wave-based execution order for implementation
  • Identify implementation risks
  • Update artifact digest with pipeline stage

How it works

The skill loads feature artifacts, builds an ordered file list, computes dependencies, and assigns files to waves based on TriStar dependency ordering. It maps acceptance criteria to files and identifies implementation risks.

Inputs & outputs

You give it
Approved problem spec, design spec, and design review for a feature
You get back
An ordered implementation plan, including file list, dependencies, and risks

When to use sdlc-impl-planning

  • Planning a complex new feature
  • Identifying implementation risks
  • Creating a task execution roadmap

About this skill

SDLC Implementation Planning Skill

Prime Directive

"Plan the work. Then work the plan."

This skill converts architecture design into an actionable, ordered implementation plan. Every file to create or modify is listed with dependencies, acceptance criteria mappings, and test strategies.

Arguments

  • --feature=<name> (required) - Feature name matching existing artifacts

Prerequisites

  • docs/artifacts/<feature>/problem_spec.md must exist
  • docs/artifacts/<feature>/design_spec.md must exist
  • docs/artifacts/<feature>/design_review.md must exist with APPROVE or APPROVE_WITH_CONCERNS decision

Process

Step 1: Load Artifacts

Read all feature artifacts:

  1. docs/artifacts/<feature>/problem_spec.md - Requirements and acceptance criteria
  2. docs/artifacts/<feature>/design_spec.md - Component design, API contracts, data models
  3. docs/artifacts/<feature>/design_review.md - Review findings and concerns to address
  4. docs/ARCHITECTURE.md - System architecture baseline

Step 2: Build Ordered File List

Extract every file that needs to be created or modified from the design spec:

  • List each file with its COMP-ID from the design
  • Note whether the file is NEW or MODIFIED
  • Note the layer (Designer / Hub / Scout / Shared / Tests)
  • Note the file type (TypeScript / Python / Config)

Step 3: Compute Dependency Graph

For each file, determine its dependencies:

  • Which other files must exist before this file can be implemented?
  • Which shared types does it depend on?
  • Which services does it call?
  • Which models does it use?

Assign each file to a wave based on the TriStar dependency ordering (see references/tristar-dependencies.md):

  • Wave 1: Shared types (no dependencies)
  • Wave 2: Backend models (depends on shared types)
  • Wave 3: Backend services (depends on models)
  • Wave 4: Backend API routes (depends on services)
  • Wave 5: Frontend services (depends on API contracts)
  • Wave 6: Frontend components (depends on frontend services)
  • Wave 7: Tests (depends on implementation)

Step 4: Map Acceptance Criteria to Files

For each acceptance criterion from the problem spec:

  • Which files are involved in satisfying this AC?
  • Which test files verify this AC?
  • Mark any AC that spans multiple waves (integration risk)

Step 5: Map Test Strategy

For each implementation file:

  • Corresponding unit test file path
  • Key test scenarios (from testing.md patterns)
  • Mock dependencies needed
  • Integration test scenarios (if applicable)

Step 6: Identify Risks

Flag implementation risks:

  • Files in multiple waves that share state (race condition risk)
  • Complex logic that needs careful testing (fraud detection, scoring)
  • External API integrations that need mocking strategy
  • Schema changes that affect multiple layers (Zod + Pydantic sync)
  • Design review concerns that need special attention during implementation

Step 7: Write Implementation Plan

Save to: docs/artifacts/<feature>/implementation_plan.md

Step 8: Update Artifact Digest

Create or update .claude/checkpoints/<feature>/artifact_digest.md with:

  • List of all artifacts produced so far
  • Current pipeline stage (impl-planning complete)
  • Next expected stage (implementation)

Output Template

# Implementation Plan: <feature-name>

## Overview
- Total files: N (M new, K modified)
- Waves: 7
- Estimated complexity: Low / Medium / High

## Wave Plan

### Wave 1: Shared Types
| # | File | Action | COMP-ID | Description |
|---|------|--------|---------|-------------|
| 1 | src/shared/types/offer-brief.ts | MODIFY | COMP-001 | Add new fields to OfferBrief |

**Wave 1 Verification:**
- [ ] TypeScript compiles without errors
- [ ] Zod schema validates correctly

### Wave 2: Backend Models
| # | File | Action | COMP-ID | Description |
|---|------|--------|---------|-------------|
| 2 | src/backend/models/offer_brief.py | MODIFY | COMP-002 | Mirror OfferBrief changes in Pydantic |

**Wave 2 Verification:**
- [ ] Pydantic model validates correctly
- [ ] Fields match Wave 1 Zod schema

### Wave 3: Backend Services
...

### Wave 4: Backend API Routes
...

### Wave 5: Frontend Services
...

### Wave 6: Frontend Components
...

### Wave 7: Tests
| # | File | Action | Tests For | Scenarios |
|---|------|--------|-----------|-----------|
| N | tests/unit/backend/test_offer_brief.py | NEW | COMP-002 | Validation, edge cases |

**Wave 7 Verification:**
- [ ] All unit tests pass
- [ ] Coverage > 80%
- [ ] Integration tests pass

## Acceptance Criteria Mapping

| AC ID | Description | Files | Test File | Wave |
|-------|-------------|-------|-----------|------|
| AC-001 | Given X, When Y, Then Z | file1, file2 | test_file | 3,4 |

## Risk Register

| Risk | Impact | Mitigation | Wave |
|------|--------|------------|------|
| R-001: Schema sync | High | Implement Wave 1+2 together, verify match | 1-2 |

## Design Review Concerns

| Finding | Severity | How Addressed |
|---------|----------|---------------|
| F-001: Missing error handling | Major | Added try/catch in Wave 4 files |

## Implementation Order Summary

1. Wave 1: Shared types (foundation)
2. Wave 2: Backend models (must match Wave 1)
3. Wave 3: Backend services (business logic)
4. Wave 4: Backend routes (API layer)
5. Wave 5: Frontend services (API clients)
6. Wave 6: Frontend components (UI layer)
7. Wave 7: Tests (verification layer)

Reference Files

  • references/tristar-dependencies.md - Layer dependency ordering and wave assignment rules

When not to use it

  • Required design artifacts are missing or not approved
  • The feature does not have defined acceptance criteria

Prerequisites

docs/artifacts/<feature>/problem_spec.mddocs/artifacts/<feature>/design_spec.mddocs/artifacts/<feature>/design_review.md

Limitations

  • Requires existing problem, design, and design review specifications
  • Requires a TriStar dependency ordering context
  • Output is a plan, not the implementation itself

How it compares

This skill generates a detailed, wave-based implementation plan with explicit file dependencies and risk identification, providing a structured roadmap compared to ad-hoc planning.

Compared to similar skills

sdlc-impl-planning side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
sdlc-impl-planning (this skill)04moNo flagsAdvanced
create-plan368moReviewBeginner
project-planner329moReviewIntermediate
system-design199moNo flagsIntermediate

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Example prompts that trigger this skill in your AI assistant.

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