plankton-code-quality(代码质量)
io.github.affaan-m/ECC/plankton-code-quality
使用 Plankton 在编写时强制执行代码质量——通过钩子在每次文件编辑时自动格式化、代码检查并由 Claude 驱动修复。适用于为文件编辑设置写入时格式化、检查或自动修复钩子。
“E Commerce Operations” 共 9,817 个结果
io.github.affaan-m/ECC/plankton-code-quality
使用 Plankton 在编写时强制执行代码质量——通过钩子在每次文件编辑时自动格式化、代码检查并由 Claude 驱动修复。适用于为文件编辑设置写入时格式化、检查或自动修复钩子。
io.github.ArchiveBox/ArchiveBox/archivebox
在进行 ArchiveBox 应用、CLI、服务端、Docker 镜像、Admin UI、REST API、数据目录、爬取、快照以及发布与部署脚本相关工作时使用。
io.github.affaan-m/ECC/ecc-guide
Answer questions about Everything Claude Code by reading the live repo surface — agents, skills, commands, hooks, rules, install profiles, and docs — instead of memory. Use when the user asks what ECC includes, how to install or reset it, which skill or command fits a task, or how project onboarding works.
io.github.affaan-m/ECC/competitive-report-structure
Assemble scored competitor profile cards (from benchmark-methodology) into a decision-grade competitive report with landscape map, competitor tiers, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Use when presenting competitive findings to leadership or a board, writing a competitive landscape report, or as the final step of the competitive analysis pipeline.
io.github.affaan-m/ECC/healthcare-phi-compliance
Protected Health Information (PHI) and PII compliance patterns for healthcare applications: data classification, row-level access control, tamper-proof audit trails, schema tagging, and common leak vectors such as logs, URLs, and browser storage. Use when code touches patient or clinician data, when implementing HIPAA or GDPR access controls, or when auditing a healthcare system for data exposure.
io.github.affaan-m/ECC/homelab-network-readiness
Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access. Use when planning or reviewing home network changes — splitting a flat network into trusted, IoT, guest, or management VLANs, moving DHCP to a local resolver, or adding VPN access — before changing router, firewall, DHCP, or VPN configuration.
io.github.affaan-m/ECC/nanoclaw-repl
Operate and extend NanoClaw, ECC's zero-dependency session-aware REPL, with persistent markdown-backed sessions and slash commands for model switching, skill loading, session branching, cross-session search, history compaction, and export. Use when running or extending scripts/claw.js, or when resuming, branching, compacting, searching, or exporting a NanoClaw session.
io.github.affaan-m/ECC/brand-discovery
Run a structured, resumable multi-session brand identity interview across 8 modules (purpose, positioning, audience, personality, voice, narrative, founder tension) using laddering, 5 Whys, and projective techniques, persisting answers to disk and producing a master brandbook (90_SYNTHESIS.md). Use when creating or repositioning a brand, briefing designers or writers, or making implicit founder knowledge explicit.
io.github.affaan-m/ECC/safety-guard
Guard against destructive operations with three modes: Careful intercepts dangerous commands (rm -rf, git push --force, DROP TABLE) for confirmation, Freeze locks writes to one directory, and Guard combines both via PreToolUse hooks. Use when working on production systems, running agents autonomously, restricting edits to a directory, or during migrations, deploys, and data changes.
io.github.affaan-m/ECC/recursive-decision-ledger
Run repeated rollouts ("Prime Gauss" style recursive prompting) while keeping an append-only decision ledger of trials, marks, coherence checks, and promotion gates, so recursive confidence never auto-approves live trading, deploy, or destructive actions. Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.
io.github.affaan-m/ECC/benchmark
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after comparison stored in git-tracked .ecc/benchmarks JSON. Use when checking page speed, responding to 'it feels slow' reports, verifying launch performance targets, or comparing stack alternatives.
io.github.affaan-m/ECC/product-lens
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring product-market-fit signals, a user journey audit measuring time-to-value, and ICE feature prioritization. Use when pressure-testing product direction, choosing between features, sanity-checking a launch, or converting a vague idea into a product brief.
io.github.affaan-m/ECC/videodb
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts on live streams or desktop capture. Use when working with video search, transcription, clipping, transcoding, streaming, or live video alerts.
io.github.affaan-m/ECC/verification-loop
面向 Claude Code 会话的全面验证系统。在宣称任务完成前验证 Claude Code 会话的工作成果时使用。
io.github.affaan-m/ECC/eval-harness
面向 Claude Code 会话的正式评估框架,落实评估驱动开发(EDD)原则。当 Claude Code 工作流在获得信任或被修改前需要正式评估时使用。
io.github.affaan-m/ECC/architecture-decision-records
将 Claude Code 会话中做出的架构决策捕获为结构化 ADR。自动检测决策时刻,记录上下文、考虑的替代方案与理由。维护 ADR 日志,帮助后来的开发者理解代码库为何如此构建。
io.github.affaan-m/ECC/ecc-recipes
把描述出来的工作流映射到合适的 ECC 命令组,给出执行顺序与停止条件,并可浏览全部命令组配方族。在扁平的命令目录之上增加了“按族分组 + 执行顺序 + 何时停止”这一层。仅提供建议。触发时机:用户问某件事该用哪些命令、哪个命令组负责它、查看 ECC 配方、列出 ECC 流水线,或问如何用 ECC 跑某个工作流。不触发:用户想直接执行任务、想要单条命令的详细文档(改用 ecc-guide),或想改写提示词草稿(改用 prompt-optimizer)。
io.github.affaan-m/ECC/dart-flutter-patterns
可用于生产的 Dart 与 Flutter 模式,覆盖空安全、不可变状态、异步组合、Widget 架构、主流状态管理框架(BLoC、Riverpod、Provider)、GoRouter 导航、Dio 网络、Freezed 代码生成与整洁架构。在编写或评审 Dart 与 Flutter 代码——状态、Widget、导航、网络或架构——时使用。
io.github.affaan-m/ECC/deep-research
使用 firecrawl 与 exa MCP 进行多源深度研究。检索网页、综合发现,并交付带有来源归属的引用报告。在用户需要对任意主题做有证据、有引用的彻底研究时使用。
io.github.affaan-m/ECC/search-first
先检索再编码的工作流。在动手编写自定义代码之前,先搜索已有的工具、库和模式。会调用 researcher 代理。
io.github.affaan-m/ECC/orch-pipeline
orch-* skill 家族共用的编排引擎。定义带门槛的“调研-规划-TDD-评审-提交”流水线、规模分类器、代理映射,以及两个由 orch-* 操作 skill 委派使用的人工关口。通常不直接调用;当某个 orch-* skill 委派其带门槛的调研-规划-TDD-评审-提交流水线时生效。
io.github.affaan-m/ECC/inherit-legacy-style
遗留项目风格继承 skill。当用户输入 /inherit-legacy-style,或需要让 AI 编码代理接手手写遗留项目并防止“风格漂移”(模型把自身预训练的主流惯用法强加给项目)时使用。与语言和框架无关——只对齐元架构,不改语法。一旦运行,它就成为后续所有编码任务的行为约束。不要用于纯研究或与代码风格对齐无关的一次性提问。
io.github.affaan-m/ECC/blueprint
把一行目标转成面向多会话、多代理工程项目的分步构建计划。每一步都带自包含的上下文简报,新代理可以冷启动执行。包含对抗评审门、依赖图、并行步骤检测、反模式目录与计划变更协议。触发时机:用户为复杂的多 PR 任务索要计划、蓝图或路线图,或描述需要多个会话完成的工作。不触发:任务可在单个 PR 或少于 3 次工具调用内完成,或用户说“直接做”时。
io.github.affaan-m/ECC/ralphinho-rfc-pipeline
RFC 驱动的多代理 DAG 执行模式,含质量门、合并队列与工作单元编排。在运行带质量门和合并队列的 RFC 驱动多代理执行时使用。