plankton-code-quality（代码质量）
SkillSkillsMP
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。
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“filesystem github context7 playwright” 共 6,498 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.Yeachan-Heo/oh-my-claudecode/harbor
Harbor intake for external work — the captain only handles unresolved decisions. Sweeps incoming issues and PRs, verifies every claim before disposition, reuses every decision already made, and hands the maintainer a docket whose pending items each carry one question with options, recommendation, impact and evidence. Agent-autonomous for facts and for actions covered by standing authorization; signed for every new judgment. Never merges.
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/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/tdd-workflow
在编写新功能、修复 bug 或重构代码时使用此 skill。强制推行测试驱动开发，覆盖率不低于 80%，涵盖单元、集成与 E2E 测试。
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/growth-log
在完成复杂任务、出现失败，或需要复盘学到了什么之后使用。教你写出能提炼可复用模式的成长日志——而不是日记。
io.github.affaan-m/ECC/ck
为 Claude Code 提供按项目持久化的记忆。会话启动时自动加载项目上下文，用 git 活动追踪会话，并写入原生记忆。命令运行确定性的 Node.js 脚本——行为在各模型版本之间保持一致。当项目需要让上下文在多次 Claude Code 会话之间保留、而不必每次重新解释时使用。
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。