realistic-prompt-generation
Generate natural, controlled prompt variants from a target-blind design brief and prompt architecture while preserving approved jobs, acts, journeys, constraints, roles, locales, proximity bands, and evidence language. Use after architecture design and before contamination or semantic QA.
Profile →npx skills add elvisun/newsjack --skill realistic-prompt-generation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Realistic Prompt Generation Write authentic prompts without manufacturing recommendation opportunities. This skill inherits the ethical floor from `skills/ETHICS.md`. It enforces anti-hallucination and evidence-bound language. Anti-spray and human-send are not applicable. ## Hard context boundary For unaided generation, accept only: - anonymized segment and role labels; - approved jobs, constraints, information acts, journey states, and locales; - short source-language fragments safe under the permitted-data rules; - evidence IDs and grades; - `prompt_architecture.json`; - style and turn-form requirements. Do not accept or inspect: - target brands, products, domains, people, slogans, campaign terms, proprietary categories, or flattering claims; - current AI answers, rankings, mentions, citations, gaps, or target pages; - the contamination register itself. If those fields appear, stop unaided generation and request a sanitized `blind_design_brief.json`. When subagents or fresh sessions are available, generate in a fresh context that receives only the blind brief and architecture. The exception is an explicitly separate B0 aided pass. It may receive only the target aliases needed b
- Hard context boundary
- Preserve the canonical intent cell
- Write realistic prompts
- Band rules
- Output
- Handoff
What does the realistic-prompt-generation skill do?
Generate natural, controlled prompt variants from a target-blind design brief and prompt architecture while preserving approved jobs, acts, journeys, constraints, roles, locales, proximity bands, and evidence language. Use after architecture design and before contamination or semantic QA.
How do I install it?
Run `npx skills add elvisun/newsjack --skill realistic-prompt-generation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From elvisun/newsjack, a repository with 620 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.