cfn-loop-output-processing
Type-safe output processing for Loop 2 validators and Loop 3 implementers. Use when parsing agent confidence scores, feedback, or calculating consensus from multiple validators.
浏览 masharratt 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
59收录技能的仓库 Stars 合计
826仓库 Forks
177平均每个技能的仓库 Stars
14同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Type-safe output processing for Loop 2 validators and Loop 3 implementers. Use when parsing agent confidence scores, feedback, or calculating consensus from multiple validators.
Adaptive routing strategies for distributed systems with multi-channel communication
Process instrumentation and lifecycle management
Orchestrate Docker container execution across parallel agent waves with memory-aware spawning
Creates comprehensive epic definitions with sequential reviews from 10 key personas. Use when you need to analyze requirements from multiple perspectives and generate structured epic documentation with cost est...
Redis-based agent coordination with pub/sub and waiting mode
Multi-layer validation and quality gates for CFN Loop workflows. Use when implementing gate checks, consensus validation, or enforcing clean agent exit patterns.
Epic decomposition, coordinator planning, and scope management. Use when breaking down epics into sprints and tasks, coordinating multi-coordinator workflows, or simplifying and managing project scope boundarie...
Human intervention detection and orchestration for CFN Loop. Use when automated processes need human oversight, when escalation is required, or when managing intervention workflows and approval gates.
Analyzes task descriptions and classifies them into categories for agent selection
Organizational learning from CFN Loop execution - workflow codification and playbooks. Use when you need to store successful patterns, query past learnings, track edge cases and failures, or retrieve agent conf...
Prevent and detect memory leaks in Claude CLI operations through proactive monitoring, limits, and profiling. Use when managing memory limits for long-running agents, detecting memory leaks, profiling heap usag...
Agent process spawning with provider configuration and execution
Unified agent management from selection through completion - spawning, execution, output processing. Use when selecting agents for tasks, spawning agents with dependency validation, processing agent outputs, or...
Agent development tools - generation and validation. Use when creating new agent templates from scaffolding, or validating and linting existing agent profiles for correctness and completeness.
Sprint planning, execution, and checkpointing for CFN Loop
Two-phase compilation error fixer for Rust and TypeScript using Cerebras LLM bulk processing + dedicated agent cleanup. Use when you have 20+ compilation errors that need fast bulk reduction, or when errors are...
Test execution, running, and webapp testing for CFN
Centralized JSON validation for AGENT_SUCCESS_CRITERIA with defensive parsing and injection attack prevention (CVSS 8.2)
Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.
Manages Google Sheets API calls with rate limiting and quota enforcement
Classify tasks (type/domain), estimate complexity/iterations, recommend specialists from feedback themes
Agent selection based on task classification with fallback support
Skill loading, propagation, and building for CFN. Use when dynamically discovering and loading skills, deploying skills across environments, or creating new skill scaffolding.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。