ReddRadar
Agent skill
data-encoder
Classical data encoding skill for quantum machine learning applications
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/data-encoder
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- quantum-ml
- specialization
- quantum-computing
SKILL.md
Data Encoder
Purpose
Provides expert guidance on encoding classical data into quantum states for machine learning applications, balancing expressiveness with circuit complexity.
Capabilities
- Angle encoding
- Amplitude encoding
- IQP encoding
- Hardware-efficient encoding
- Encoding expressibility analysis
- Data re-uploading strategies
- Feature scaling for encoding
- Encoding depth optimization
Usage Guidelines
- Feature Analysis: Understand data dimensionality and structure
- Encoding Selection: Choose encoding based on data type and qubit budget
- Scaling: Apply appropriate normalization for encoding method
- Depth Analysis: Balance encoding expressivity with circuit depth
- Verification: Validate encoded states capture relevant features
Tools/Libraries
- PennyLane
- Qiskit Machine Learning
- Cirq
- TensorFlow Quantum
- NumPy
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
a5c-ai/babysitter
gsd-tools
Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).
a5c-ai/babysitter
model-profile-resolution
Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.
a5c-ai/babysitter
verification-suite
Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.
a5c-ai/babysitter
state-management
STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.
a5c-ai/babysitter
git-integration
Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.
a5c-ai/babysitter
frontmatter-parsing
YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.
Didn't find tool you were looking for?