Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ckorhonen/claude-skills --skill prompt-factorygit clone --depth 1 https://github.com/ckorhonen/claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ckorhonen/claude-skills/prompt-factory)<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/prompt-factory"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/prompt-factory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ckorhonen/claude-skills/prompt-factory"><img src="https://agentmods.dev/badge/skills/ckorhonen/claude-skills/prompt-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00095 | $0.02287 |
| Opus 5.5 | $0.00038 | $0.00915 |
| Sonnet 5.5 | $0.00019 | $0.00457 |
| Haiku 4.5 | $0.00010 | $0.00229 |
Grade A, and why
prompt-factory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Factory - World-Class Prompt Powerhouse
Generate production-ready mega-prompts through intelligent questioning and comprehensive domain presets.
⚠️ CRITICAL CONSTRAINTS - READ FIRST
This skill generates PROMPTS only. It does NOT implement the work described in the prompt.
What This Skill DOES:
✅ Generate a comprehensive PROMPT (text document in chosen format) ✅ Ask 5-7 questions to understand requirements (MANDATORY - no skipping) ✅ Validate prompt quality before delivery ✅ Output a SINGLE prompt document with token count ✅ Provide the prompt ready to copy and use elsewhere
What This Skill DOES NOT Do:
❌ Implement the actual work (no code files, no diagrams, no APIs) ❌ Create architectural diagrams or technical implementations ❌ Write actual marketing campaigns or business strategies ❌ Build infrastructure or deploy anything ❌ Execute the prompt after generating it
Expected Workflow:
- User asks for help creating a prompt
- Skill MUST ask 5-7 questions (even if context seems obvious)
- User answers questions with specific details
- Skill generates ONE comprehensive prompt document
- Skill announces token count
- STOP - Do not implement anything from the prompt
- Ask: "Would you like me to modify the prompt or create a variation?"
Gotchas & Common Pitfalls
1. Skipping Questions
Danger: Agent rushes to prompt generation without asking questions
- Why it breaks: Vague prompts miss key context, leading to poor outputs when user applies them
- Fix: ALWAYS ask 5-7 questions minimum, even for "obvious" requests
- Example: User says "PM prompt for PRD" but doesn't specify domain, constraints, or team context
- Wrong: Jump to generate PM preset
- Right: Ask: domain, PRD type, team size, constraints, success criteria
2. Implementing Instead of Generating
Danger: Agent starts coding/building the thing the prompt describes
- Why it breaks: Scope creep; this skill only makes prompts, not implementations
- Fix: Generate the prompt → Stop → Offer variations only
- Example: Prompt describes "REST API for payments"
- Wrong: Start coding the API
- Right: Generate prompt → User takes prompt elsewhere to implement
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- CHANGELOG.md 13 KB
- DOCS.md 9.3 KB
- examples/example-1-fullstack-api.md 14 KB
- examples/example-2-marketing-strategy.md 12 KB
- examples/example-3-product-prd.md 14 KB
- examples/example-4-devops-infrastructure.md 20 KB
- examples/example-5-content-calendar.md 18 KB
- HOW_TO_USE.md 29 KB
- outputs/.gitkeep 0 B
- references/advanced-workflow.md 18 KB
- references/best-practices-reference.md 14 KB
- references/examples.md 16 KB
- references/presets.md 18 KB
- references/prompt-patterns.md 15 KB
- requirements.txt 249 B
- scripts/batch_generator.py 9.2 KB runs code
- scripts/generate_prompt.py 29 KB runs code
- scripts/optimizer.py 22 KB runs code
- scripts/validator.py 19 KB runs code
- templates/presets/business/business-analyst.md 8.4 KB
- templates/presets/business/marketing-manager.md 6.3 KB
- templates/presets/business/marketing-strategist.md 3.7 KB
- templates/presets/business/operations-manager.md 7.6 KB
- templates/presets/business/product-engineer.md 7.4 KB
- templates/presets/business/product-manager.md 4.3 KB
- templates/presets/business/product-owner.md 7.7 KB
- templates/presets/business/project-manager.md 7.2 KB
- templates/presets/business/sales-business-manager.md 7.7 KB
- templates/presets/creative-media/copywriter.md 11 KB
- templates/presets/creative-media/seo-specialist.md 14 KB
- templates/presets/creative-media/social-media-manager.md 13 KB
- templates/presets/creative-media/video-producer.md 15 KB
- templates/presets/creative/content-strategist.md 5.0 KB
- templates/presets/creative/ux-researcher.md 7.7 KB
- templates/presets/customer/account-manager.md 15 KB
- templates/presets/customer/customer-experience-manager.md 15 KB
- templates/presets/customer/customer-success-manager.md 14 KB
- templates/presets/customer/support-engineer.md 14 KB
- templates/presets/design/brand-designer.md 11 KB
- templates/presets/design/graphic-designer.md 9.9 KB
- templates/presets/design/product-designer.md 11 KB
- templates/presets/design/ui-ux-designer.md 9.9 KB
- templates/presets/executive/ceo-founder.md 13 KB
- templates/presets/executive/chief-marketing-officer.md 15 KB
- templates/presets/executive/chief-operations-officer.md 15 KB
- templates/presets/executive/chief-product-officer.md 15 KB
- templates/presets/executive/chief-strategy-officer.md 14 KB
- templates/presets/executive/cto-vp-engineering.md 14 KB
- templates/presets/executive/general-manager.md 14 KB
- templates/presets/finance/accountant-tax.md 13 KB
- templates/presets/finance/cfo-controller.md 13 KB
- templates/presets/finance/financial-analyst.md 12 KB
- templates/presets/finance/investment-analyst.md 13 KB
- templates/presets/hr/compensation-analyst.md 15 KB
- templates/presets/hr/hr-manager.md 14 KB
- templates/presets/hr/learning-development.md 16 KB
- templates/presets/hr/talent-acquisition.md 14 KB
- templates/presets/legal/compliance-officer.md 11 KB
- templates/presets/legal/contract-manager.md 11 KB
- templates/presets/legal/legal-counsel.md 10.0 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 249 lines · 95 tokens per session scan A 50636863955d
prompt-factory is a skill published in the GitHub repository ckorhonen/claude-skills (19 stars, last pushed 20d ago), licensed MIT. It adds 95 tokens to every session and 2,287 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
ai-prompting-basics
A practical guide to writing clearer requests for Claude, an AI assistant, by adding context, examples, roles, and output rules.
openrouter
OpenRouter API - Unified access to 400+ AI models through one API.
prompt-master
The one skill for prompting the Claude 5 models the way Anthropic says to. Starts by interviewing the user one question at a time, then writes a new prompt, rewrites an old one, or audits a whole CLAUDE.md, skill or project-instruction file, applying the rules from Anthropic's Opus 5 guide, Fable 5 guide, best…
token-efficiency-expert
Dr. Noa Reshef — token-efficiency expert persona. Brings academic rigor + production experience to LLM cost analysis: prompt token economics, marginal-token analysis, cache strategy, prompt compression. Use when the user wants a deep, opinionated review of prompt cost or wants to model token-hour spend across an agent…
dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming.
guidance
Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework.