dispatching-parallel-agents
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies.
dp-optimizer
Apply advanced DP optimizations automatically
dp-pattern-library
Maintain and match against a library of classic dynamic programming patterns. Provides pattern matching, template code generation, variant detection, and problem-to-pattern mapping for DP problems.
dp-state-designer
Assist in designing optimal DP states and transitions
entity-memory-extraction
Entity and fact extraction for user profiling and personalization
eval-harness
Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.
external-tool-coordination
Coordinate external AI tool integration (OpenAI Codex, Google Gemini) for cross-model adversarial review and delegated implementation.
few-shot-example-gen
Few-shot example generation and optimization for improved LLM performance
file-guard
PreToolUse protection blocking sensitive file access across 195+ patterns in 12 categories with bash pipeline analysis and multi-tool ignore support.
finishing-a-development-branch
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work.
finishing-work
Final completion discipline including summary generation, plan document updates, and confirmation that all success criteria from the original plan are satisfied.
fix-failing-pipelines
This skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing workflows", "fix failing actions", or wants to find and fix failing GitHub Actions workflows on the staging branch of the babysitter repo.
flow-network-builder
Model optimization problems as network flow problems
formula-authoring
Author TOML-based Formula workflow templates that become Protomolecules and active Molecules in Gas Town's durable workflow system.
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.
general-knowledge-reasoning
Apply general knowledge reasoning across diverse domains — trivia, commonsense inference, analogy, and factual question answering.
geometry-algorithm-library
Implement computational geometry algorithms
geometry-primitive-library
Provide robust computational geometry primitives
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.
graph-algorithm-selector
Select optimal graph algorithm based on problem constraints
graph-modeler
Convert problem descriptions into graph representations
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).
guardrails-ai-setup
Guardrails AI validation framework setup for LLM applications. Implement input/output validation, safety checks, and structured output enforcement.
haystack-pipeline
Haystack NLP pipeline configuration for document processing and QA
hook-management
Session-scoped hook lifecycle management with enable/disable/status controls, execution profiling, and color-coded performance alerts.
hotfix-triage
Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes
huggingface-classifier
Hugging Face transformer model fine-tuning and inference for intent classification
implementation-execution
Execute development tasks to build features, producing code, tests, and configuration artifacts that satisfy specification requirements and comply with constitution standards.
interview-problem-bank
Curated bank of interview problems organized by company, pattern, and difficulty. Provides problem recommendations, coverage tracking, weak area identification, and premium problem alternatives for FAANG interview preparation.
interview-simulator
Simulate realistic coding interview experience
invariant-analyzer
Identify and verify loop invariants for correctness proofs
issue-tracking
Track beads as git-backed issues with persistent attribution, supporting Gas Town's bead lifecycle and convoy progress monitoring.
knowledge-curation
Context priming before work (bd prime) and self-reflection after completion to extract patterns, gotchas, and decisions into the knowledge base.
knowledge-graph-management
Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph
langchain-chains
LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
langchain-memory
LangChain memory integration including ConversationBufferMemory, ConversationSummaryMemory, and vector-based memory
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
langchain-retriever
LangChain retriever implementation with various retrieval strategies for RAG applications
langchain-tools
LangChain tool creation and integration utilities for agent systems
langfuse-integration
LangFuse LLM observability integration for tracing, analytics, and cost tracking
langgraph-checkpoint
LangGraph checkpoint and persistence configuration for stateful workflow management
langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
langgraph-routing
Conditional edge routing and state-based transitions for LangGraph workflows
langgraph-state-graph
LangGraph StateGraph builder with state schema design. Create stateful agent workflows with cycles, conditionals, and persistence.
langgraph-subgraph
Subgraph composition and modular workflow design for LangGraph
langsmith-tracing
LangSmith tracing and debugging setup for LLM applications. Configure observability, capture traces, and enable debugging for LangChain/LangGraph agents.
leetcode-problem-fetcher
Fetch and parse LeetCode problems with metadata, constraints, examples, hints, difficulty ratings, and related problems. Integrates with LeetCode API for comprehensive problem data retrieval.
llamaindex-agent
LlamaIndex agent and query engine setup for RAG-powered agents
llm-classifier
LLM-based zero-shot and few-shot classification for flexible intent detection
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