ECC

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.

Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.

Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more.

Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.

Project-specific skill template covering architecture, patterns, testing, and deployment guidance.

返品承認、受取・検品、処分決定、返金処理、不正検出、保証クレーム管理のための標準化された専門知識。15年以上の経験を持つ返品オペレーションマネージャーの知見に基づく。段階的フレームワーク、処分経済性、不正パターン認識、ベンダー回収プロセスを含む。製品返品、逆物流、返金決定、返品不正検出、保証クレームを扱う場合に使用。

Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.

@Observableを使用した状態管理、ビュー合成、ナビゲーション、パフォーマンス最適化、モダンなiOS/macOS UIのベストプラクティスを備えたSwiftUIアーキテクチャパターン。

回答する前に、どれだけの回答深度を消費するかについてユーザーに情報に基づいた選択を提供する。ユーザーが回答の長さ、深さ、またはトークンバジェットを明示的に制御したい場合にこのスキルを使用する。トリガー条件："token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas"、またはユーザーが回答のサイズや深さの制御を明示的に求めるその他の明確なバリエーション。トリガーしない条件：ユーザーが現在のセッションでレベルを指定済み（そのレベルを維持）、リクエストが明らかに一言の回答、または「token」が認証/セッション/支払いトークンを指している。

A comprehensive verification system for Claude Code sessions.

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

将单行目标转化为多会话、多代理工程项目的分步构建计划。每个步骤包含独立的上下文简介，以便新代理能直接执行。包括对抗性审查门、依赖图、并行步骤检测、反模式目录和计划突变协议。触发条件：当用户请求复杂多PR任务的计划、蓝图或路线图，或描述需要多个会话的工作时。不触发条件：任务可在单个PR或少于3个工具调用中完成，或用户说“直接执行”时。

Automate visual testing and UI interaction verification using browser automation after deployment.

用于管理承运商组合、协商运费、跟踪承运商绩效、分配货运以及维护战略承运商关系的编码专业知识。基于拥有15年以上经验的运输经理提供的信息。包括记分卡框架、RFP流程、市场情报和合规性审查。适用于管理承运商、协商费率、评估承运商绩效或制定货运策略时使用。

海关文件、关税分类、关税优化、受限方筛查以及多司法管辖区法规合规的编码化专业知识。由拥有15年以上经验的贸易合规专家提供。包括HS分类逻辑、Incoterms应用、自贸协定利用以及罚款减免。适用于处理海关清关、关税分类、贸易合规、进出口文件或关税优化时使用。

电力与燃气采购、电价优化、需量电费管理、可再生能源购电协议评估及多设施能源成本管理的编码化专业知识。基于能源采购经理在大型工商业用户中超过15年的经验。包括市场结构分析、对冲策略、负荷分析和可持续性报告框架。适用于采购能源、优化电价、管理需量电费、评估购电协议或制定能源策略时使用。

为多地点零售商提供需求预测、安全库存优化、补货规划及促销提升估算的编码化专业知识。基于拥有15年以上管理数百个SKU经验的需求规划师的专业知识。包括预测方法选择、ABC/XYZ分析、季节性过渡管理及供应商谈判框架。适用于预测需求、设定安全库存、规划补货、管理促销或优化库存水平时使用。

Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness.

针对货运异常、货物延误、损坏、丢失和承运商纠纷的编码化专业知识，由拥有15年以上运营经验的物流专业人士提供。包括升级协议、承运商特定行为、索赔程序和判断框架。在处理运输异常、货运索赔、交付问题或承运商纠纷时使用。

为离散和批量制造中的生产调度、作业排序、产线平衡、换模优化和瓶颈解决提供编码化专业知识。基于拥有15年以上经验的生产调度师的知识。包括约束理论/鼓-缓冲-绳、快速换模、设备综合效率分析、中断响应框架以及企业资源计划/制造执行系统交互模式。适用于调度生产、解决瓶颈、优化换模、应对中断或平衡制造产线时。

为受监管制造业中的质量控制、不合格调查、根本原因分析、纠正措施和供应商质量管理提供编码化专业知识。基于在FDA、IATF 16949和AS9100环境中拥有15年以上经验的质量工程师的见解。包括不合格报告生命周期管理、纠正与预防措施系统、统计过程控制解释和审核方法。适用于调查不合格、进行根本原因分析、管理纠正与预防措施、解释统计过程控制数据或处理供应商质量问题。

用于退货授权、接收与检验、处置决策、退款处理、欺诈检测以及保修索赔管理的标准化专业知识。基于拥有15年以上经验的退货运营经理的见解。包括分级框架、处置经济学、欺诈模式识别和供应商回收流程。适用于处理产品退货、逆向物流、退款决策、退货欺诈检测或保修索赔时使用。

在回答前，为用户提供关于消耗多少响应深度的知情选择。当用户明确希望控制响应长度、深度或令牌预算时使用此技能。触发条件："token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas"，或用户明确要求控制答案大小或深度的清晰变体。不触发条件：用户已在当前会话中指定了级别（保持该级别），请求明显是单字答案，或"token"指代认证/会话/支付令牌而非响应大小。

Project-specific skill template covering architecture, patterns, testing, and deployment guidance.

A comprehensive verification system for Claude Code sessions.

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics

Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1–5 rubrics and a tension-plot. Precedes competitive-report-structure.

Use when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.

Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.

Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.

Design a goal-oriented agent loop, and review it for the ways loops go wrong — spinning and burning tokens, Goodhart-gaming the verifier, or running a wrong answer to completion. Two actions: (1) WRITE a loop — gate whether to build it, define a machine-decidable goal, pick the loop type, pick a skeleton; (2) REVIEW a loop — run it past five failure modes plus decidability, boundaries, fallback, judge independence, and keep-judgment-with-the-human red lines. Use when designing an autonomous agent loop, or when you already have one and worry it will spin, cheat, or run a wrong answer to the end. Complements the mechanism-layer loop skills (autonomous-loops, continuous-agent-loop) by covering the judgment layer they don't. 中文触发：写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。English triggers: design an agent loop, write a loop, check a loop, loop review, prevent a runaway loop, goal-oriented loop, decidable goal, plan/build/judge.

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.