mhylle/claude-skills-collection/prompt-generator

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Generate implementation prompts for phase-based project execution using an orchestration pattern. Use when users request prompts for implementing project phases, need orchestration prompts for multi-step implementations, ask for "/prompt", "generate prompt", "create implementation prompt", or want to create structured implementation instructions for subagent delegation. Outputs the prompt to chat and saves to docs/prompts folder.

Install

npx vskill@latest install mhylle/claude-skills-collection/prompt-generator

SKILL.md

Prompt Generator

<!-- contents: generated by tests/skill_structure.py --write; edit headings, not this block -->

Contents

Reference files (open one when a step points to it):

  • references/implementation-prompt-template.md: Implementation Prompt Template: Phase {PHASE_NUMBER} - {PHASE_NAME}

<!-- /contents -->

Generate structured implementation prompts for phase-based project execution using an orchestrator/subagent pattern.

Quick Start

When triggered, gather these inputs from the user:

VariableDescriptionExample
PHASE_NUMBERPhase identifier"1", "2", "3"
PHASE_NAMEDescriptive phase name"Foundation", "Data Pipeline"
PHASE_DOC_PATHPath to phase plan document/project/docs/plans/01-foundation.md
PROJECT_ROOTProject root directory/home/user/myproject
GENERAL_PLAN_PATHPath to general plan (optional)/project/docs/plans/00-general-plan.md
ADR_PATHPath to ADR directory (optional)/project/docs/decisions/

ADR Integration: The generated prompt will instruct the orchestrator to:

  • Read any ADRs referenced in the plan before implementation
  • Create new ADRs when architectural decisions arise during implementation
  • Update the plan with ADR references when deviating from the original design

Workflow

1. Gather User Input

Ask the user for required variables. If context provides these values, confirm them:

To generate the implementation prompt, I need:
1. Phase number (e.g., 1, 2, 3)
2. Phase name (e.g., "Foundation", "Data Pipeline")
3. Path to the phase document
4. Project root directory
5. Path to general plan (optional)
2. Generate the Prompt

Read the template from references/implementation-prompt-template.md and substitute all {PLACEHOLDER} values with user-provided inputs.

3. Output and Save
  1. Display: Output the complete generated prompt in the chat
  2. Save: Use scripts/save_prompt.py to save to <PROJECT_ROOT>/docs/prompts/
bash
echo "<generated_prompt>" | python scripts/save_prompt.py <project_root> <phase_number> <phase_name>

The file is saved as: docs/prompts/phase-<N>-<name>.md

Template Features

The generated prompt includes:

  • Orchestration requirements: Main session coordinates, subagents implement
  • Delegation patterns: File creation, testing, infrastructure, integration
  • Progress tracking: TodoWrite integration for task management
  • Validation workflow: Group validation and final success criteria checks
  • Error handling: Failure analysis, rollback procedures, escalation guidance
  • Handoff preparation: Documentation for next phase transition
  • Plan updates: Update implementation plan with actual outcomes upon completion
Subagent Patterns Reference
Task TypePatternConcurrency
File creation (independent)ParallelHigh (5-7)
File creation (dependent)SequentialLow (1-2)
Testing/ValidationPer test suiteMedium (3-5)
Docker/InfrastructurePer serviceMedium (3-4)
IntegrationPer integration pointLow (2-3)

Output Format

The generated prompt follows this structure:

markdown
Implement Phase {N}: {Name} of the trading platform...
IMPORTANT ORCHESTRATION REQUIREMENTS:
1.This is an ORCHESTRATION SESSION...
2.Use the implement-plan skill...
3.Spawn SUBAGENTS for all implementation...
4.Track progress using TodoWrite...
5.Coordinate subagents and validate...
## Implementation Strategy
[Phase overview, orchestration workflow, delegation patterns]
## Error Handling
[Failure analysis, rollback, escalation]
## Success Criteria Validation
[Automated and manual checks]
## Handoff to Next Phase
[Update implementation plan, completion documentation, context prep, clean state]

Integration with implement-plan/implement-phase

Generated prompts are automatically discovered and used by the implementation skills:

Workflow
1. prompt-generator creates: docs/prompts/phase-2-data-pipeline.md
↓
2. implement-plan discovers prompt via Glob("docs/prompts/phase-*.md")
↓
3. implement-plan passes prompt path to implement-phase
↓
4. implement-phase uses prompt for detailed orchestration instructions
↓
5. On completion, implement-phase archives to: docs/prompts/completed/
Naming Convention

Prompts must follow this naming pattern for auto-discovery:

docs/prompts/phase-<N>-<name>.md
Examples:
docs/prompts/phase-1-foundation.md → Phase 1
docs/prompts/phase-2-data-pipeline.md → Phase 2
docs/prompts/phase-3-agent-system.md → Phase 3
Directory Structure
docs/prompts/
├── phase-1-foundation.md # Pending - ready for implementation
├── phase-2-data-pipeline.md # Pending - ready for implementation
├── phase-3-agent-system.md # Pending - ready for implementation
└── completed/ # Archived after successful completion
├── phase-1-foundation.md # Completed
└── phase-2-data-pipeline.md # Completed
Benefits
  • Pre-planning: Generate all prompts upfront before implementation
  • Consistency: Same orchestration patterns across all phases
  • Tracking: Completed folder shows implementation progress
  • Review: Archived prompts document what instructions were used

Resources

references/
  • implementation-prompt-template.md: Full prompt template with all placeholders and patterns
scripts/
  • save_prompt.py: Saves generated prompts to docs/prompts/ with metadata header

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationWarning, 83 of 100Marginal. 1 run. Evaluated 7 months ago.

Source

Popularity

Repository stars
13
7-day trend score
13

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 17 Mar 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/mhylle/claude-skills-collection/prompt-generator/badge)](https://verified-skill.com/skills/mhylle/claude-skills-collection/prompt-generator)

Something wrong with this skill or its page? Tell us.