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Installable agentic skills / AI agent skills (SKILL.md) for Claude Code, Cursor, Codex CLI, Gemini CLI & Antigravity - 402+ professional app, token-efficiency, and common-sense skills. SEO/GEO ready.

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--- name: give-ai-situation-context description: "Include role, scale, budget, and constraints so an answer fits the actual working situation." category: common-sense risk: safe source: self source_type: self date_added: "2026-08-26" tags: ["context-anchoring", "constraints", "tailored-advice", "prompt-engineering", "efficiency", "productivity"] tools: ["claude", "cursor", "gemini", "codex", "chatgpt"] --- # Give AI Situation & Constraint Context (AI Skill) ## Overview Asking an unanchored question like *"What database should I use for my app?"* forces the AI to guess who you are. The model will often recommend enterprise solutions like Amazon DynamoDB clusters with multi-region replication - which is disastrously complex for a solo founder building a weekend MVP. The **Situation Anchoring Framework** teaches you to spend 15 seconds defining your **Role, Scale, Budget, and Constraints** upfront, ensuring the AI's advice is 100% appropriate for your real-world circumstances. --- ## The 4-Pillar Situation Framework ``` ┌─────────────────────────────────────────────────────────────┐ The 4-Pillar Situation Stack 1. WHO I AM ──► Solo founder, Lead Architect, Student 2. WHAT I HAVE ──► $50/mo budget, 2-person team, Node.js 3. CONSTRAINTS ──► Must ship in 7 days, zero DevOps staff│ 4. SUCCESS STATE ──► First 100 paying users, sub-50ms speed│ └─────────────────────────────────────────────────────────────┘ ``` --- ## Master Situation-Anchoring Prompt Templates ### Pattern 1: The Tactical Situation Anchor Use before asking for architectural, marketing, or business strategy advice: ```markdown Situation Context: - **My Role / Team**: Solo non-technical founder building an MVP. - **Budget**: Maximum $50/month total infrastructure spend. - **Timeline**: Must launch a working beta in 14 days. - **Existing Tech Stack**: Next.js hosted on Vercel. Question / Problem: [INSERT QUESTION: e.g. How should I handle transactional emails and user notifications?] ``` --- ### Pattern 2: The Enterprise vs. Startup Filter Forces the model to eliminate enterprise bloat or naive beginner tools: ```markdown I need advice on [TOPIC]. Filter your response through these realities: - We are a [SERIES A STARTUP / BOOTSTRAPPED INDIE / FORTUNE 500 ENTERPRISE]. - We have [X] engineers and [Y] monthly active users. - Discard any recommendations that require heavy custom Kubernetes infrastructure or >$500/mo licensing. ``` --- ## Real-World Comparison ### Scenario: Choosing an Authentication System #### Without Situation Context (The Enterprise Bloat Trap) > **User**: *"How should I set up user authentication for my new web app?"* > > *AI Output: "Set up an enterprise Okta or Auth0 tenant, configure OAuth2 with PKCE, deploy a Redis token cache, and manage SAML single sign-on..."* (Cost: $250+/mo, Weeks of setup). #### With Situation Context (Laser-Targeted Perfection) > **User**: *"Situation: Solo developer building a lightweight SaaS tool with Next.js and Supabase. Zero budget for third-party auth fees. What is the fastest, safest way to implement auth?"* **AI Response**: > **Recommendation**: Use **Supabase Auth (Native SSR)**. > > **Why It Fits Your Situation**: > 1. **Zero Added Cost**: Free tier includes 50,000 monthly active users. > 2. **Instant Setup**: Built directly into your Supabase database; handles Google Sign-In, Magic Links, and JWT session cookies in under 30 lines of Next.js middleware code. > 3. **Launch Time**: Implementable in under 2 hours with zero third-party auth redirect overhead. --- ## Summary Checklist - **State your team size**: Solo vs. 5-person team vs. 100-person company changes the answer completely. - **Declare your budget ceiling**: Prevents models from recommending expensive SaaS tools when a free open-source script will do. - **Name your deadline**: Tells the AI whether to optimize for long-term perfection or immediate shipping speed.