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Programming, frameworks, implementation, frontend, backend, and app development
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Showing 10,873–10,896 of 65,663 skills
- New ComponentScaffold a new rialto design system component with all required files (component, CSS module, test, story, barrel export) following established conventionsVotes: 0GitHub stars: 2
- New AdrScaffold a new Architecture Decision Record in docs/adr/ with the repo's canonical format and the next available sequential numberVotes: 0GitHub stars: 2
- Md AuditAudit human-facing markdown (README, CONTRIBUTING, SECURITY, docs/**, package READMEs) for claims the repo no longer satisfies — commands that fail, flags that don't exist, described behaviour the code dropped. Runs after scripts/audit-markdown.mjs has settled the mechanical findings. Use weekly from the docs-audit routine, or after a refactor that moved user-facing surfaces.Votes: 0GitHub stars: 2
- Local Ci PrecheckRun the same lint + typecheck + architecture-audit + drift checks CI runs, locally and in parallel. Catches workspace-package issues (missing deps, prop drift, lint rule violations) and stale generated artifacts (dep-graph, llms.txt) before pushing — the failures CI would surface in 5 minutes show up in 30 seconds. Use before opening or pushing to a PR.Votes: 0GitHub stars: 2
- Learning LoopSensor-driven continuous improvement loop. Collects metrics from all sensors, detects regressions, creates issues, verifies past fixes, and self-tunes thresholds. Invoke with /learning-loop.Votes: 0GitHub stars: 2
- Issue WorkerPick oldest ready, implement via mbe agent run, create PR. ready→in-progress→has-pr. Invoke: /issue-worker.Votes: 0GitHub stars: 2
- Implement QueueDrain the ready-issue backlog with quality: claim a batch of independent issues, implement each in parallel TDD worktree subagents, then serially merge green PRs. Replaces ship-loop. Use when the user says 'work the queue', 'drain the backlog', 'implement the ready issues', or invokes /implement-queue (optionally via /loop).Votes: 0GitHub stars: 2
- IdeateAutonomous feature-ideation cycle. Advances the current ideation batch (honor vetoes, decompose proposals past the veto window, sweep completed tracking issues) and, only when the previous batch is fully complete, generates a new batch of 4-5 feature-proposal issues grounded in PRODUCT.md and repo-committed signals. Invoke with /ideate. Designed to run daily inside the mbe-morning routine.Votes: 0GitHub stars: 2
- GraphifyUse for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.Votes: 0GitHub stars: 2
- DeployCheck deploy status, trigger deploys, and debug deploy failures for the mattbutlerengineering monorepo. Covers static sites (Cloudflare Workers), API services (DigitalOcean App Platform), and infrastructure (Pulumi).Votes: 0GitHub stars: 2
- Dep BumpBatch-apply pnpm.overrides for CVE fixes in a single PR. Use when multiple Dependabot/security alerts need dependency overrides — collapses N identical workflows into one operation.Votes: 0GitHub stars: 2
- DecomposeCreate ready-labeled GitHub issues from a feature description so /implement-queue can drain them — analyzes the codebase and files a dependency-ordered chain of child issues plus a tracking issue. Produces GitHub issues, not a design document. Invoke with /decompose.Votes: 0GitHub stars: 2
- CodexConfigure and use OpenAI Codex CLI. Use when user mentions codex, wants to set up Codex, or asks about Codex config (.codex/config.toml). Trigger: /codex, codex config, set up codex, .codex/config.tomlVotes: 0GitHub stars: 2
- Claude Md ImproverAudit Claude Code instruction files (CLAUDE.md, AGENTS.md, .claude/rules/*) for staleness and gaps — dangling paths, skill/agent tables that drift from disk, mandates pointing at things that don't resolve, and repo surfaces no instruction file documents. Proposes fixes; never writes silently. Use when instructions feel out of date, after a big refactor or extraction, or from the monthly mbe-monthly-meta-audit routine.Votes: 0GitHub stars: 2
- Claude Automation RecommenderAudit the repo's automation layer — .claude/hooks, .claude/agents, .claude/skills, and .github/workflows — for guards that exist but never fire, guards that fire wrongly, and recurring failures with no guard at all. Recommends new hooks/subagents/skills grounded in real repo history. Proposes; never writes silently. Use when a known failure keeps recurring, after adding a hook or agent, or from the monthly mbe-monthly-meta-audit routine.Votes: 0GitHub stars: 2
- Chaos AgentSeed non-breaking but detectable bugs (lint violations, dead links) to verify autonomous audit/lint loops catch and file issues. Scheduled to run weekly to test measurement machinery. Invoke with /chaos-agent or schedule via RemoteTrigger.Votes: 0GitHub stars: 2
- Structure LawThe Atelier Structure Law — canonical, industrial-standard file structures per stack (Next.js, FastAPI, monorepo, full platform), naming rules, and the intake questions that settle layout once. Load before scaffolding or moving files.Votes: 0GitHub stars: 2
- Swarm AdvancedAdvanced swarm orchestration patterns for research, development, testing, and complex distributed workflowsVotes: 0GitHub stars: 812
- Flow Nexus PlatformComprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challengesVotes: 0GitHub stars: 812
- X Explore需求探索的姿态 skill，是 x-spec 的硬前置门禁。在用户带着模糊想法、还不具备建模条件时使用：通过扎根代码库的开放讨论，把意图理清到可以交给 x-spec 建模的程度。用户提到 x-explore、理需求、聊方案、把想法梳理清楚、讨论可行性时优先使用；x-spec 收到意图未闭合的输入时应回退到 x-explore。Votes: 0GitHub stars: 12
- X Dev Rag Call从需求、Spec、代码调查、故障描述或计划中提炼关键内容，调用本地 Embedding 模型，从调用方明确指定的 Markdown 或纯文本文件/目录进行单文件或目录级批量语义 TopN 召回，并把命中的原文交回当前 LLM。用户提到“从这个路径召回”“查 RAG”“匹配错题集”“批量匹配经验集”“根据 Spec 找相关经验”“取 TopN”时使用；其他 skill 需要从指定本地知识路径获取相关内容时也使用。Votes: 0GitHub stars: 12
- X Bug2rag把 bug 描述沉淀到用户 Home 下的通用 RAG，形成可召回的失败机制经验，并维护可扩展到数千条的聚合 corpus。输入一条或多条 bug 描述，按泛用性规则筛选后写入；也能初始化 `~/.x-dev-pipeline/rag`、复制插件已有 catalog、把单文件 catalog 聚合为 taxonomy、短卡搜索视图、JSONL 机器索引和稳定 Markdown 分片，重建/校验索引，并按 AR-ID 批量读取详情。用户说"这个 bug 记一下""沉淀到错题库""这条经验加进 RAG""bug 转 corpus""初始化用户 RAG""聚合错题库""给 RAG 分片""重建风险目录/索引"时使用；从 x-cr 报告、复盘记录、issue 列表批量提取经验时也使用。 单文件与聚合模式的写入、校验、目录生成、短卡搜索、TopN、详情读取和重建全部由本 skill 自己完成，便于独立测试聚合效果。Votes: 0GitHub stars: 12
- X Adversarial Risk对 x-spec 产出的 Spec 做一次有轮次上限的风险复核：读取 Spec、生成“功能关键词 + Risk”查询，默认从用户 Home 下的通用风险语料召回 Top5，也接受调用方覆盖语料路径；用户确认跳过 RAG 时，按 Spec 分数执行有上限的独立对抗性检验。用于 review_budget 为 deep/full 且 adversarial_review 为 pending、上一次验证返回聚合 issue，或用户显式要求推翻 Spec 假设、补充高价值风险 Scenario 的场景。Votes: 0GitHub stars: 12
- Pipeline Eval Report项目级 pipeline eval 分析与报告 skill。每当用户要求评审 Agent 或模型根据题目生成的 spec、req、dev、verify、QA 产物，查看 Mavis Token/耗时，按答案或 rubric 评分，判断一次行为是否属于 pipeline run，生成或更新 pipeline_run_id、事件账本、扣分知识和 evaluation-report 时使用。也用于现有 run 重评分、失败归因、跨模型或版本比较，以及把评测关键点写入 pipeline-data 知识库。Votes: 0GitHub stars: 12