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.

expression: A gentle

warm smile while looking upward.

trees: Tall bare trees bending slightly

forming a natural snowy corridor

identity_cues: Body shape

posture

- 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

atmosphere: Soft diffused winter light

fine suspended snowflakes

- Assumption Validation: Mark assumptions as validated

pending validation

expression: A warm

natural smile visible from the side profile.

- Functions: PR feedback

path validation

Ultra-Realistic Winter Cinematography Series

{

Next: Complete PUT/DELETE endpoints

finalize schema

consistency: Same person across all frames; identical facial structure

skin texture

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

include the context of WHY they were needed

color_grade: Subtle blue winter grading

cold tones

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

Claude

Creative

- Blocked: Rate limited on domains: amazon.com

walmart.com

Data

Given this context artifact for FitTrack Pro app planning

please design the technical architecture including database schema

- Completed: 32/50 sites successfully scraped (2

847 products)