Find agent skills by outcome

realism_level: Ultra-realistic

film-grade winter accuracy.

detail: High realism

crisp skin texture

face_visibility: Extreme close-up

fully visible face.

atmosphere: Quiet

serene winter silence with falling snow

identity_cues: Body shape

posture

trees: Tall bare trees bending slightly

forming a natural snowy corridor

expression: A gentle

warm smile while looking upward.

- Assumption Validation: Mark assumptions as validated

pending validation

atmosphere: Soft diffused winter light

fine suspended snowflakes

expression: A warm

natural smile visible from the side profile.

color_grade: Subtle blue winter grading

cold tones

consistency: Same person across all frames; identical facial structure

skin texture

Next: Complete PUT/DELETE endpoints

finalize schema

Ultra-Realistic Winter Cinematography Series

{

- Rule Preservation: When rules/protocols were established during session

include the context of WHY they were needed

- Universality: Structure must be interpretable by any AI platform (ChatGPT

Claude

- Project-Scale Adaptation: For full project migrations (Case 3)

expand Project Structure section significantly while keeping other sections concise

(... sections continue: Reusable Components

Quality Gates

- Patterns: Prompt chaining

parallelization

- InventorySubAgent

UserAuthSubAgent

- Trigger: Every commit

- Functions: PR feedback

path validation

- AI coaching must feel conversational

not robotic commands

- ✓ Name: FitTrack Pro (rejected: QuickFit

PowerHour)