Search Results for "decomposition" | AgentCC

autonomous-agents

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b

V3 CLI Modernization

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

search-strategy

Query decomposition and multi-source search orchestration. Breaks natural language questions into targeted searches per source, translates queries into source-specific syntax, ranks results by relevance, and handles ambiguity and fallback strategies.

legacy-modernizer

Use when modernizing legacy systems, implementing incremental migration strategies, or reducing technical debt. Invoke for strangler fig pattern, monolith decomposition, framework upgrades.

sequential-thinking

Use when complex problems require systematic step-by-step reasoning with the ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.

rlm

Use RLM (Recursive Language Models) for verified code execution, calculations, data analysis, and task decomposition. Executes Python code iteratively until producing verified results - no LLM guessing.

deep-research

Deep Research Agent specializes in complex, multi-step research tasks that require planning, decomposition, and long-context reasoning across tools and files by we-crafted.com/agents/deep-research

component-identification-sizing

tech-leads-club

Identifies architectural components in codebases and calculates size metrics for decomposition planning. Use when analyzing codebase structure, planning monolithic decomposition, identifying oversized components, calculating component statistics, or when the user asks about component analysis, codebase sizing, or architectural decomposition.

legacy-migration-planner

tech-leads-club

Use when planning legacy system migrations, codebase modernization, monolith decomposition, microservices consolidation, cross-language rewrites, or framework upgrades. Invoke for strangler fig pattern, incremental migration strategy, or refactoring roadmaps.

decomposition-planning-roadmap

tech-leads-club

Creates structured decomposition plans and roadmaps for migrating monolithic applications. Use when planning decomposition, creating migration roadmaps, prioritizing decomposition work, tracking decomposition progress, or when the user asks about decomposition planning, migration strategy, or architectural roadmap.

autonomous-skill

Use when a user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Claude Code headless mode with automatic continuation. Trigger phrases: "autonomous", "long-running task", "multi-session", "autonomous skill".

moai-foundation-philosopher

Strategic thinking framework integrating First Principles Analysis, Stanford Design Thinking, and MIT Systems Engineering for deeper problem-solving. Use when performing architecture decisions, technology selection trade-offs, root cause analysis, cognitive bias detection, or first principles decomposition. Do NOT use for code quality validation (use moai-foundation-quality instead) or implementation workflows (use moai-workflow-ddd instead).

moai-workflow-thinking

Sequential Thinking MCP and UltraThink mode for deep analysis, complex problem decomposition, and structured reasoning workflows. Use when performing multi-step analysis, architecture decisions, technology selection trade-offs, breaking change assessment, or when --ultrathink flag is specified. Do NOT use for simple decisions or straightforward implementation tasks.

pca-decomposition

Reduce dimensionality of multivariate data using PCA with varimax rotation. Use when you have many correlated variables and need to identify underlying factors or reduce collinearity.

contribution-analysis

Calculate the relative contribution of different factors to a response variable using R² decomposition. Use when you need to quantify how much each factor explains the variance of an outcome.

swarm-coordination

Joelhooks Swarm Tools Swarm Coordination

Multi-agent coordination patterns for OpenCode swarm workflows. Use when work benefits from parallelization or coordination. Covers: decomposition, worker spawning, file reservations, progress tracking, and review loops.

Task Decomposition

Break down complex tasks into small, manageable, atomic units

planningdecompositiontasks+1

thermal-analysis

A5c Ai Babysitter Thermal Analysis

Skill for thermal characterization workflows including DSC, TGA, DTA, TMA, and DMA for phase transitions, decomposition, and viscoelastic property analysis

trotter-simulator

Hamiltonian simulation skill using Trotter-Suzuki decomposition

wbs-generator

Generate and validate Work Breakdown Structures with automated decomposition

domain-model-extractor

Extract domain models from monolithic codebases using DDD principles for microservices decomposition

forecast-accuracy-analyzer

Forecast accuracy measurement and improvement skill with error decomposition

requirements-flowdown

Skill for systematic requirements capture, decomposition, and traceability

bio-hi-c-analysis-compartment-analysis

Detect A/B compartments from Hi-C data using cooltools and eigenvector decomposition. Identify active (A) and inactive (B) chromatin compartments from contact matrices. Use when identifying A/B compartments from Hi-C data.

multi-agent-coordination

Coordinate multiple agents in parallel or sequential workflows. Use when running agents simultaneously, delegating to sub-agents, switching between specialized agents, or managing agent selection. Trigger keywords - "parallel agents", "sequential workflow", "delegate", "multi-agent", "sub-agent", "agent switching", "task decomposition".

orchestrationmulti-agentparallel+3

hierarchical-coordinator

Prevent goal drift in long-running multi-agent workflows using a coordinator agent that validates outputs against original objectives at checkpoints. Use when orchestrating 3+ agents, multi-phase features, complex implementations, or any workflow where agents may lose sight of original requirements. Trigger keywords - "hierarchical", "coordinator", "anti-drift", "checkpoint", "validation", "goal-alignment", "decomposition", "phase-gate", "shared-state", "drift detection".

orchestrationhierarchicalcoordinator+3

V3 CLI Modernization

proffesor-for-testing

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

plan

Epic decomposition into trackable issues. Triggers: "create a plan", "plan implementation", "break down into tasks", "decompose into features", "create beads issues from research", "what issues should we create", "plan out the work".

autonomous-skill

Use when user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Codex non-interactive mode with auto-continuation. Trigger phrases include autonomous, long-running task, multi-session, 自主执行, 长时任务, autonomous skill.

autonomous-skill

Use when a user wants to execute long-running tasks that require multiple sessions to complete. This skill manages task decomposition, progress tracking, and autonomous execution using Codex non-interactive mode with auto-continuation. Trigger phrases include autonomous, long-running task, multi-session, autonomous execution, long-running job, autonomous skill.

ln-200-scope-decomposer

Orchestrates full decomposition (scope → Epics → Stories → RICE prioritization) by delegating ln-210 → ln-220 → ln-230. Sequential processing. Epic 0 for Infrastructure.

ring:pre-dev-task-breakdown

Gate 7: Implementation tasks - value-driven decomposition into working increments that deliver measurable user value.

plan-down

Method clarity-driven planning workflow using zen-mcp tools (chat, planner, consensus). Phase 0 uses chat to judge if user provides clear implementation method. Four execution paths based on automation_mode × method clarity - Interactive/Automatic × Clear/Unclear. All paths converge at planner for task decomposition. Produces complete plan.md file. Use when user requests "create a plan", "generate plan.md", "use planner for planning", "help me with task decomposition", or similar planning tasks.

orchestrating-agents

Orchestrates parallel API instances, delegated sub-tasks, and multi-agent workflows with streaming and tool-enabled delegation patterns. Use for parallel analysis, multi-perspective reviews, or complex task decomposition.

claw-ancestry-pca

Ancestry decomposition PCA against the Simons Genome Diversity Project

population-geneticsPCAancestry+2

claw-ancestry-pca

Ancestry decomposition PCA against the Simons Genome Diversity Project

population-geneticsPCAancestry+2

rag-retrieval

Retrieval-Augmented Generation patterns for grounded LLM responses. Use when building RAG pipelines, embedding documents, implementing hybrid search, contextual retrieval, HyDE, agentic RAG, multimodal RAG, query decomposition, reranking, or pgvector search.

ragretrievalllm+7

Time Series Analysis

Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models

structured-plan-mode

This skill should be used when planning and tracking complex feature implementations that require systematic task decomposition. Use this skill to break down large features into manageable, well-documented tasks with clear dependencies, action items, and success criteria. The skill provides a structured template and methodology for iterative planning and tracking throughout implementation.

project-planner

Comprehensive project planning and documentation generator for software projects. Creates structured requirements documents, system design documents, and task breakdown plans with implementation tracking. Use when starting a new project, defining specifications, creating technical designs, or breaking down complex systems into implementable tasks. Supports user story format, acceptance criteria, component design, API specifications, and hierarchical task decomposition with requirement traceability.

sequential-thinking

Systematic step-by-step reasoning with revision and branching. Use for complex problems, multi-stage analysis, design planning, problem decomposition, or encountering unclear scope, alternative approaches needed, revision requirements.

sequential-thinking

Apply structured, reflective problem-solving for complex tasks requiring multi-step analysis, revision capability, and hypothesis verification. Use for complex problem decomposition, adaptive planning, analysis needing course correction, problems with unclear scope, multi-step solutions, and hypothesis-driven work.

task-decomposition

Decompose approved tech-spec into atomic task files with parallel creation and validation. Use when: "разбей на задачи", "декомпозиция", "decompose tech-spec", "создай задачи из техспека", "/decompose-tech-spec"

dag-executor

End-to-end DAG execution orchestrator that decomposes arbitrary tasks into agent graphs and executes them in parallel. The intelligence layer that makes DAG Framework operational.

dagorchestrationtask-decomposition+2

orchestrator

Master coordinator that delegates to specialist skills, synthesizes outputs, AND creates new skills on-the-fly when needed. Expert in problem decomposition, skill orchestration, quality assurance, and skill creation for capability gaps. Use for multi-skill coordination, complex task decomposition, workflow design. Activates on 'orchestrate', 'coordinate', 'multi-skill', 'complex task'. NOT for single-domain tasks or simple linear workflows.

coordinationmulti-skilldelegation+2

dag-graph-builder

Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.

dagorchestrationgraph+2

Microservices Architect

Distributed systems expert specializing in service decomposition, orchestration, and microservices architecture patterns. Use when designing microservices, defining service boundaries, implementing service mesh, or handling distributed system challenges. Triggers include "microservices", "service mesh", "service decomposition", "distributed systems", "API gateway", "event-driven".

page-decomposition

Analyze content sequences within a section and provide neutral descriptions for AEM Edge Delivery Services. Invoked per section during page import to identify breaking points between default content and blocks.