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docs(skill): surface scenario pools from SKILL.md entry point
Step 2 and Links now point at the pool table and data/scenarios/, so an agent sees the available pools without opening the doc first. Co-Authored-By: Claudypoo <288921227+claudypoo@users.noreply.github.com>
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1. Start from the persona or behavior the user wants to steer. Read [Pick a persona pair](docs/choosing_personas.md#pick-a-persona-pair), check for a matching pair in [`data/personas/`](data/personas/), then write or fix `data/personas/persona_pairs_AXIS_ID.jsonl`. The two sides should be direct opposites with matched wording.
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2. Read [Choosing scenarios](docs/choosing_scenarios.md), assemble a broad scenario pool, and rank it using a strong previous template. Dry-run first, then remove `--dry-run` for the live run.
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2. Pick scenario pools from the table in [Choosing scenarios](docs/choosing_scenarios.md#available-scenario-pools) (12 files in [`data/scenarios/`](data/scenarios/), each tagged with its point of view and axes), match their framing to your behavior, and rank the pool with a strong previous template. Dry-run first, then remove `--dry-run` for the live run.
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```sh
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uv run python scripts/validate_persona_axes.py \
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## Links
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- [Previous template results](README.md#previous-results)
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- [Choosing scenarios](docs/choosing_scenarios.md)
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- [Choosing scenarios](docs/choosing_scenarios.md) and the [scenario pools](data/scenarios/)
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- [Template catalog](data/templates/template_catalog.yaml)
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- [Validator flags](scripts/validate_persona_axes.py)
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- [Persona prompt literature review](docs/persona_prompt_literature_review.md)
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