number-theory-toolkit
Provide number theory algorithm implementations and guidance
opentelemetry-llm
OpenTelemetry instrumentation for LLM applications with distributed tracing
orchestrated-execution
Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.
patrol-monitoring
Continuous monitoring using Deacon/Witness patterns for agent health checks, stuck detection, and automated recovery.
persistent-memory
Observation capture and retrieval across sessions. Stores decisions, discoveries, and bugfix patterns. Searchable via tags and relevance scoring.
phoenix-arize-setup
Arize Phoenix observability platform setup for LLM debugging and evaluation
pii-redaction
PII detection and redaction utilities for privacy-compliant conversational AI
pinecone-integration
Pinecone vector database setup, configuration, and operations for RAG applications
plan-implementation
Disciplined execution of approved plans with step-by-step verification, phase checkpoints, failure investigation, and mandatory code/security reviews.
planning-design
Design technical architecture, select technology stack, and define implementation strategy from specifications and constitution constraints.
planning-patterns
Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
plan-review-gate
Adversarial plan review by 3 independent reviewers (Feasibility, Completeness, Scope & Alignment) before presenting to user.
plan-writing
Transform research findings into actionable implementation plans with stakes-based rigor, test-first strategy, and granular task decomposition.
prime-sieve-generator
Generate optimized prime sieves and factorization routines
process-builder
Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
prompt-compression
Token-efficient prompt compression techniques for cost optimization
prompt-injection-detector
Prompt injection detection and prevention for secure LLM applications
prompt-template-design
Structured prompt template creation with variables, formatting, and version control
proof-assistant
Assist in constructing algorithm correctness proofs
pr-shepherding
Monitor PR lifecycle from creation through merge including CI monitoring, review comment handling, thread resolution, and merge readiness verification.
qdrant-integration
Qdrant vector database with filtering, payloads, and quantization support
quality-checklist
Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
rag-chunking-strategy
Document chunking with multiple strategies including semantic, recursive, and fixed-size chunking
rag-embedding-generation
Batch embedding generation with caching, rate limiting, and multiple provider support
rag-hybrid-search
Hybrid search combining semantic and keyword retrieval for RAG pipelines. Implement BM25 + dense vector search with fusion strategies.
rag-query-transformation
Query expansion, HyDE, and multi-query generation for improved retrieval
rag-reranking
Cross-encoder reranking and MMR diversity filtering for improved retrieval quality
rasa-nlu-integration
Rasa NLU pipeline configuration and training for intent and entity extraction
receiving-code-review
Use when receiving code review feedback, before implementing suggestions. Requires technical rigor and verification, not blind implementation.
redis-memory-backend
Redis backend for conversation state persistence and caching
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
requirements-interview
Interactive PM interview with expertise-adaptive questioning for requirements elicitation
research-first-dev
Research-first development methodology that investigates existing solutions, brainstorms alternatives, and evaluates trade-offs before any implementation begins.
research-orchestration
Parallel research agent orchestration dispatching 5-10 concurrent agents for comprehensive multi-source research with synthesis and validation.
retrospect-external-babysitter-run
For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run".
roadmap-management
Roadmap parsing, analysis, and mutation operations for ROADMAP.md. Handles phase and milestone lifecycle including add, insert (decimal), remove, complete, and requirements coverage analysis.
security-hardening
AIDefence security layer with prompt injection blocking, input validation, sandboxed execution, output sanitization, and STRIDE threat modeling.
security-review
Security vulnerability assessment identifying OWASP risks, injection vectors, authentication issues, and data exposure with severity classification.
security-scanning
AgentShield security audit with 5 scanning categories, 102 static analysis rules, and optional red-team simulation.
segment-tree-builder
Generate customized segment tree implementations
self-optimization
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
semantic-kernel-setup
Microsoft Semantic Kernel planner and plugin setup for orchestrated AI
session-management
Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.
session-memory
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
setfit-few-shot
SetFit few-shot learning for efficient intent classification with minimal data
single-file-bundling
Configure Vite with vite-plugin-singlefile for mandatory single-file HTML bundling of MCP Apps. All assets (JS, CSS, images, fonts) must be inlined into a single HTML file for sandboxed iframe compatibility.
smart-routing
Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.
solution-comparator
Compare multiple solutions for correctness and performance
solution-explainer
Generate clear explanations of algorithm solutions
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