prompt-template-generator
SolidAnalyze a software project's files and generate a tailored, copy-paste-ready prompt-template cookbook (a Markdown "PROMPT-TEMPLATES.md") with the project's real stack, paths, subsystems, and conventions already filled in. Use this whenever the user wants to create prompt templates, a prompt cookbook, a prompt library, prompt scaffolding, reusable AI-coding prompts, or a "prompt template generator" for a codebase — or says things like "make prompt templates for my project", "build a prompt guide for this repo", "generate copy-paste prompts for my codebase", or "turn my project into a set of reusable Claude/Cursor prompts". Trigger it even when the user just points at a project and asks for ready-to-use prompts, since the value is filling templates with project-specific facts they'd otherwise type by hand.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- scoobydrew83
- Repository
- scoobydrew83/skills
- Created
- 1 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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prompt-builder
Builds and improves prompts of every kind — everyday Claude prompts, SKILL.md instruction bodies, skill descriptions, and agent/system prompts. Detects mode from input: critique-and-rewrite when the user pastes a draft, interview-and-build when the user describes a goal without a draft. Always does live web research on current Anthropic prompting guidance before producing output. Returns a short critique plus a copy/paste-ready prompt block. Use whenever the user asks for help writing, improving, rewriting, critiquing, sharpening, or scoping a prompt — including phrases like "help me write a prompt for…", "improve this prompt", "make this better", "what's wrong with this prompt", "rewrite this", "I need a system prompt for…", "draft a SKILL.md description for…", "write a prompt for", "sharpen this prompt", or whenever the user shares a block of text that is clearly an LLM prompt and asks for any kind of feedback or revision.
prompt-generator
Turns a vague ask into a rigorous, grounded, token-efficient prompt: role + objective, testable done criteria, anti-hallucination (verify or say "I don't know"), anti-tokenmaxing (lead with the answer, output budget), strict agent discipline. Use proactively when the user hands over a prompt or task spec destined for another agent or LLM. Also on "write a prompt", "improve this prompt", "prompt for an agent". Not for human-facing prose or work you'll execute yourself this session.
prompt-builder
Guide users through creating high-quality GitHub Copilot prompt files with clear structure, appropriate tools, validation criteria, and maintainable instructions.