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ai-context-primer

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Build the context an AI needs to do a task well — the background, constraints, examples, and format it can't guess — so you get a great result on the first try instead of a generic one you have to keep correcting. Use when asked why does AI give me generic answers, how do I give AI better context, my AI results are mediocre, or how do I get it right the first time. Produces the specific context this task needs (who/what/constraints/examples/format), a reusable primer you can paste ahead of the request, the difference between a starved prompt and a well-briefed one, and what to leave out — turning vague back-and-forth into a strong first result.

plugins/pm-ai-native/skills/ai-context-primer/SKILL.md

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Nov 10, 2026
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# AI-Context Primer

Generic AI answers are almost always a context problem, not a model problem — you asked for something the AI had no way to tailor, so it gave you the average of everything. The fix is priming: giving it the background, constraints, examples, and format it can't guess before you make the request. This builds that primer for your task, so the first result is close, not a starting point you spend five rounds correcting.

## What This Skill Produces

- **The context this task actually needs** — the who (audience, you), the what (goal, background), the constraints (must/must-not), the examples (what good looks like), and the format (structure, length, tone)
- **A reusable primer block** — a clean paste-ahead of your request that briefs the AI properly, not a one-off
- **The gap it fills** — what the AI was missing that made earlier answers generic, made explicit
- **What to leave out** — the noise that dilutes rather than helps, so the primer stays sharp
- **Starved vs briefed, shown** — a quick before/after so you feel the difference context makes
- **A primer habit** — how to make briefing-before-asking your default for tasks that matter

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