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jbaruch/speaker-toolkit

Six-skill presentation system: ingest talks into a rhetoric vault, run interactive clarification, generate a speaker profile, create presentations that match your documented patterns, produce the deck illustrations + thumbnail visual layer, and publish talk pages to a Jekyll shownotes site. Includes a 102-entry Presentation Patterns taxonomy (91 observable, 11 unobservable go-live items) for scoring, brainstorming, and go-live preparation.

86

1.24x
Quality

92%

Does it follow best practices?

Impact

86%

1.24x

Average score across 26 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Overview
Quality
Evals
Security
Files

criteria.jsonevals/scenario-22/

{
  "context": "Tests whether the agent runs the SKILL.md Step 2 freshness gate before generating any deck illustrations when the outline's model was chosen in the past. The gate is the deterministic precheck `model_registry.py --check-freshness` (registry staleness) plus a check that the outline's baked model is still in the current roster (MODEL_REGISTRY in skills/illustrations/scripts/model_registry.py). A baseline agent without the illustrations skill jumps straight to generate-illustrations.py; the tile inserts the freshness gate and a speaker decision point before generation begins.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Freshness gate precedes generation",
      "description": "Before invoking generate-illustrations.py to produce any slide image, the agent gates on model freshness — runs `model_registry.py --check-freshness` and/or consults the MODEL_REGISTRY roster in skills/illustrations/scripts/model_registry.py. A run that goes straight to image generation without any freshness gating fails this criterion.",
      "max_score": 32
    },
    {
      "name": "Baked model recognized as absent from current roster",
      "description": "The agent recognizes that the outline's declared model (`gemini-2.0-flash-preview-image-generation`) is not present in the current MODEL_REGISTRY roster, and names at least one model that IS in the roster as an alternative the speaker could move to. Deterministic against file state: both halves are checkable from the outline and model_registry.py as committed at eval time.",
      "max_score": 22
    },
    {
      "name": "Explicit decision point before generation",
      "description": "The agent presents a clear choose-one decision to the speaker — keep the baked model, re-run the style exploration (Step 3) to pick a current one, or switch to a named roster model — and waits for a response. Silently swapping the model, or proceeding to image generation without acknowledgement of the choice, fails this criterion.",
      "max_score": 28
    },
    {
      "name": "No silent generation with stale model",
      "description": "If image bytes are produced during this run, they use the model the speaker explicitly confirmed in response to the decision point above. A run that calls generate-illustrations.py with the outline's original model value before the speaker responds fails this criterion.",
      "max_score": 18
    }
  ]
}

CHANGELOG.md

README.md

tessl.json

tile.json