advanced-ds-library
Provide implementations of advanced data structures
algorithm-visualizer
Generate visual representations of algorithm execution
atcoder-client
Interface with AtCoder for Japanese competitive programming contests
code-profiler
Profile code performance and identify bottlenecks
code-template-manager
Manage and generate competitive programming templates
codeforces-api-client
Interface with Codeforces API for contest data, problem sets, and submissions
combinatorics-calculator
Calculate combinatorial values with modular arithmetic
cses-tracker
Track progress through CSES Problem Set with structured learning
data-structure-selector
Select optimal data structure based on operation requirements
dp-optimizer
Apply advanced DP optimizations automatically
dp-state-designer
Assist in designing optimal DP states and transitions
flow-network-builder
Model optimization problems as network flow problems
geometry-algorithm-library
Implement computational geometry algorithms
geometry-primitive-library
Provide robust computational geometry primitives
graph-algorithm-selector
Select optimal graph algorithm based on problem constraints
graph-modeler
Convert problem descriptions into graph representations
interview-simulator
Simulate realistic coding interview experience
invariant-analyzer
Identify and verify loop invariants for correctness proofs
micro-optimizer
Apply language-specific micro-optimizations
number-theory-toolkit
Provide number theory algorithm implementations and guidance
prime-sieve-generator
Generate optimized prime sieves and factorization routines
proof-assistant
Assist in constructing algorithm correctness proofs
segment-tree-builder
Generate customized segment tree implementations
solution-comparator
Compare multiple solutions for correctness and performance
solution-explainer
Generate clear explanations of algorithm solutions
string-algorithm-matcher
Match string problems to appropriate algorithms
suffix-structure-builder
Build and query suffix arrays and related structures
backend-async-processing
Implement backend async and background processing patterns — event-driven architectures, message queues, async task runners, and worker pools.
background-job-processing
Implement reliable background job processing systems — queue management, retry policies, dead-letter handling, and distributed workers.
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysit
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autogen-setup
Microsoft AutoGen multi-agent configuration for conversational AI systems
chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
chroma-integration
Chroma local vector database setup and operations for development and production
constitutional-ai-prompts
Constitutional AI and safety guardrail prompts for aligned LLM behavior
content-moderation-api
Content moderation API integration using OpenAI Moderation, Perspective API, and others
crewai-setup
CrewAI multi-agent orchestration setup for collaborative AI systems
entity-memory-extraction
Entity and fact extraction for user profiling and personalization
few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
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