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Equip AI assistants to challenge bad product ideas by validating premises, distinguishing hobbies from businesses, and directing users to genuine customer conversations instead of validation theater.
npx claudepluginhub machinesoul11/anti-sycophant-ai-agent-skills --plugin anti-sycophantSeparate project enthusiasm from business reality when a user wants to monetize an idea they've already decided to build. Use whenever a user asks how to make a product, app, project, or service profitable, OR asks the AI to invent a revenue model or "way to make money" from a thing they've already chosen. Trigger on phrases like "how do I make this profitable", "how can I monetize this", "give me a business model for", "how do I make money from my", "should I add subscriptions/ads", "how do I turn this into a business", and especially when the user wants the AI to do the demand-side thinking after already committing to building. The point is to catch the backwards move of choosing the product first and inventing the buyer later, and to surface whether the user actually wants a business or is building a hobby — both are fine, but the work has to match the goal. Do NOT use when the user already has paying customers and just needs help with pricing mechanics, or for tasks unrelated to monetizing something.
Push the user toward real validation — one honest conversation with a qualified human — instead of validation theater. Use whenever a user asks how to validate an idea, test demand, get feedback, or "see if there's interest." Trigger on phrases like "how do I validate this", "how do I test if people want it", "should I post this on Reddit", "how do I get feedback on my idea", "I'll put up a landing page to gauge interest", "let me DM some people", or any plan to confirm demand through scalable, low-rejection tactics. The point is to reject signals that feel like validation but aren't — upvotes, "would you use this?" polls, friends' approval, mass DMs, AI-simulated customers — and replace them with the one thing that tells you anything real: a conversation with a person whose work, money, or reputation is tied to the problem. Also use when a user claims they've "validated" an idea using only shallow signals. Do NOT use when the user has already done real customer conversations and is past validation.
Pressure-test an idea's premise before helping build it. Use whenever a user proposes building, shipping, or starting something — an app, product, feature, startup, side project, service, or business — and the natural next step would be to start executing (code, naming, design, planning the build). Trigger on phrases like "I want to build", "help me make an app that", "I have an idea for", "let's build", "how do I build a", "what's the best stack for my", and any request to scaffold, architect, or spec something where the underlying demand has not been established. The point is to catch unsupported assumptions, market blindness, and premature execution BEFORE the user sinks time into building the wrong thing. Also use when explicitly asked to "stress-test", "poke holes in", or "validate" an idea. Do NOT use for ideas whose premise is already proven, for pure learning or portfolio projects where building is the point, or for tasks unrelated to creating a new product.
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Theory-grounded product-thinking discipline for AI agents. 49 skills, 15 theory gates, six diamond scales (Purpose to Market). Discovery to delivery with evidence gates that block on insufficient evidence.
Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives
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Skills that get AI assistants to stop agreeing with bad product ideas by default.
Most chat LLMs default to enthusiasm. You say "I want to build an X that makes money," and the assistant gives you a stack pick, a name, and a starter schema — without ever asking whether anyone would buy it. That default is the single most expensive habit AI assistants have, because it converts an untested assumption into weeks of sunk work.
This pack ships three skills that interrupt that default. They work in Claude, Gemini, Codex/ChatGPT, Cursor, and any other tool that accepts a system prompt or rules file.
| Skill | What it does | Fires on |
|---|---|---|
| prove-the-premise | Pressure-tests an idea's premise before any build. Names the missing buyer, surfaces the weakest assumption, points at honest alternatives. | "I want to build…", "what stack should I use", "help me make an app that…" |
| hobby-or-business | Separates a project the user enjoys from a business with an actual buyer. Catches the backwards move of choosing the product first and inventing the buyer later. | "how do I monetize this", "should I add subscriptions", "how do I make money from my…" |
| one-real-conversation | Rejects validation theater (upvotes, polls, "would you use this?", AI-simulated customers) and pushes toward one honest conversation with a qualified human. | "how do I validate this", "should I post this on Reddit", "let me put up a landing page" |
Each skill has an explicit off-switch. If you've already done the work it exists to prompt — talked to real customers, picked a niche, accepted that the project is a hobby — the skill gets out of the way. Skills without off-switches turn into nagging; these don't.
/plugin marketplace add machinesoul11/anti-sycophant-ai-agent-skills
/plugin install anti-sycophant@anti-sycophant
If you don't have GitHub SSH keys set up, use the HTTPS URL:
/plugin marketplace add https://github.com/machinesoul11/anti-sycophant-ai-agent-skills.git
/plugin install anti-sycophant@anti-sycophant
Adds the three skills (auto-trigger on phrasing) plus two slash commands as explicit entry points:
/validate-idea <your idea>/reality-check <thing you want to monetize>Full setup notes: docs/claude-code-setup.md.
Create a Project, upload the three SKILL.md files to Project Knowledge, add a one-line preamble to the Custom Instructions. Full steps: docs/claude-ai-setup.md.
git clone https://github.com/machinesoul11/anti-sycophant-ai-agent-skills.git
mkdir -p .cursor/rules
cp anti-sycophant-ai-agent-skills/skills/prove-the-premise/SKILL.md .cursor/rules/prove-the-premise.mdc
cp anti-sycophant-ai-agent-skills/skills/hobby-or-business/SKILL.md .cursor/rules/hobby-or-business.mdc
cp anti-sycophant-ai-agent-skills/skills/one-real-conversation/SKILL.md .cursor/rules/one-real-conversation.mdc
Full steps: docs/cursor-setup.md.
git clone https://github.com/machinesoul11/anti-sycophant-ai-agent-skills.git
mkdir -p ~/.gemini/commands
cp anti-sycophant-ai-agent-skills/.gemini/commands/*.toml ~/.gemini/commands/
cat anti-sycophant-ai-agent-skills/skills/*/SKILL.md >> GEMINI.md
Gives you /validate-idea and /reality-check plus auto-triggered skills. Full steps: docs/gemini-cli-setup.md.
Build a Custom GPT with the three skills pasted into its instructions, or paste a SKILL.md directly into any chat. Full steps: docs/codex-setup.md.
The skills are plain Markdown. Drop them into whatever your tool calls its rules / instructions / system prompt file. Full per-tool table: docs/other-agents.md.
There are already plenty of AI tools that help you build faster. Building faster toward something nobody wants is not a feature — it's the most expensive failure mode of the entire category.
The three failure modes this pack catches: