mhylle/claude-skills-collection/prompt-generator
- community
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-generatorSKILL.md
Prompt Generator
<!-- contents: generated by tests/skill_structure.py --write; edit headings, not this block -->
Contents
- Quick Start
- Workflow
- 1. Gather User Input
- 2. Generate the Prompt
- 3. Output and Save
- Template Features
- Subagent Patterns Reference
- Output Format
- Integration with implement-plan/implement-phase
- Workflow
- Naming Convention
- Directory Structure
- Benefits
- Resources
- references/
- scripts/
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:
| Variable | Description | Example | |
|---|---|---|---|
PHASE_NUMBER | Phase identifier | "1", "2", "3" | |
PHASE_NAME | Descriptive phase name | "Foundation", "Data Pipeline" | |
PHASE_DOC_PATH | Path to phase plan document | /project/docs/plans/01-foundation.md | |
PROJECT_ROOT | Project root directory | /home/user/myproject | |
GENERAL_PLAN_PATH | Path to general plan (optional) | /project/docs/plans/00-general-plan.md | |
ADR_PATH | Path 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:
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
- Display: Output the complete generated prompt in the chat
- Save: Use
scripts/save_prompt.pyto save to<PROJECT_ROOT>/docs/prompts/
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 Type | Pattern | Concurrency | |
|---|---|---|---|
| File creation (independent) | Parallel | High (5-7) | |
| File creation (dependent) | Sequential | Low (1-2) | |
| Testing/Validation | Per test suite | Medium (3-5) | |
| Docker/Infrastructure | Per service | Medium (3-4) | |
| Integration | Per integration point | Low (2-3) |
Output Format
The generated prompt follows this structure:
Integration with implement-plan/implement-phase
Generated prompts are automatically discovered and used by the implementation skills:
Workflow
Naming Convention
Prompts must follow this naming pattern for auto-discovery:
Directory Structure
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 todocs/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
- SKILL.md in the repositoryCheckingskills/prompt-generator/SKILL.md
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
[](https://verified-skill.com/skills/mhylle/claude-skills-collection/prompt-generator)