en un clic
goal-workflow
goal-workflow contient 17 skills collectées depuis smallnest, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Graph engineering for parallel task execution: convert a task, PRD, SPEC, or issue set into a dependency graph (DAG), layer it into supersteps, then implement each independent node concurrently with subagents — each node runs /goal → /review-it → /ship-it in an isolated git worktree, with a fan-in barrier between waves. Triggers on: graph, graph engineering, build a graph, task graph, dependency graph, DAG, parallel implement, 并发实现, 并行实现, 任务图, 把任务变成图, fan-out fan-in, superstep, dynamic workflow.
Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. After PRD is confirmed, use /prd-to-spec (optional) for technical design, then /to-issues to create implementable tickets. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out, 写PRD, 需求文档, 需求分析, 规格说明.
Modernize Go code by applying version-appropriate idioms and APIs (gofix-style transformations). Scans go.mod for the Go version, then transforms Go source files to use modern patterns—from Go 1.0 through 1.26+. Use when the user says "现代化","现代Go语言", "地道的", "idiomatic", "modernize", "modern-go", "update Go code", "gofix", or wants to upgrade Go idioms.
Illustrate an article (Markdown, HTML, etc.) with animated-style icons from itshover.com/icons. Fetches icons as clean inline SVG and places them at section headings, key concepts, lists, and callouts. Triggers on: /article-icons, 配图, 给文章配图标, add icons to article, illustrate with icons.
Detect software architecture bad smells, algorithmic complexity hotspots, and anti-patterns in a codebase. Produces a detailed markdown report identifying violations of architectural principles, design patterns, code quality, and performance complexity. Triggers on: smell, code smell, architecture smell, find anti-patterns, detect bad smells, complexity analysis, 代码坏味道, 架构坏味道, 反模式, 找出坏味道, 复杂度分析.
Generate a design document (design proposal) from a PRD, in the style of Go's official design proposals — Abstract / Background / Design / Rationale / Compatibility / Implementation, heavy on the 'why' and tradeoffs. Triggers on: to-design, prd-to-design, prd转设计文档, 生成设计文档, 写设计文档, design doc, design proposal, 设计提案, 技术设计文档.
Code review closeout for Claude Code, Codex, OpenCode, DeepSeek TUI, and Antigravity CLI: local dirty changes, branch vs main, parallel tests.
Expert code refactoring based on Martin Fowler's catalog — improve maintainability without changing behavior. Covers code smells, composing methods, moving features, organizing data, simplifying conditionals, method calls, and generalization. Triggers on: refactor, 重构, clean up, improve code, code smell, extract method, rename, simplify.
为任意项目生成 UML 图、架构图和流程图。分析代码库后让用户选择要生成的图表类型,使用 architecture-diagram skill 渲染为 HTML+SVG,保存到 docs/ 目录。适用于任何软件项目的文档可视化。
Automated issue loop with checkpoint/resume: fetch open GitHub issues → dependency-aware topological sort → implement each issue end-to-end → review with /review-it → document with /note-it → ship with /ship-it → repeat. Persists state to .loop-state.json for crash recovery. Triggers on: loop-it, loop issues, auto implement, 批量实现, 循环实现, 实现所有issue, 恢复循环, resume loop.
Decompose a PRD and/or SPEC into implementable Issues and create them in your chosen platform (GitHub, Local, or Baidu iCafe). Use after /prd (and optionally /prd-to-spec) to turn requirements into actionable tickets. Triggers on: create issues, to-issues, 创建issue, 拆解issue, 生成卡片, 创建卡片, generate issues from PRD, issues from spec.
Transform a PRD into a technical SPEC document — architecture, API design, data model, error handling, and implementation contracts. Triggers on: prd-to-spec, prd to spec, prd转spec, 需求转设计, 需求转规格, generate spec from prd, design from prd, 技术方案, 设计方案.
Reverse-engineer a SPEC document from an existing project. Analyzes code, config, tests, and structure to produce a comprehensive specification. Triggers on: code-to-spec, reverse spec, generate spec, 逆向规格, 生成规格文档, 生成设计文档, 生成设计方案, extract spec, document this project, what does this project do.
Capture implementation notes after code implementation and review/fix. Records design decisions, deviations, tradeoffs, and open questions to docs/issue#XXXX.html. Triggers on: /note-it, 记录笔记, implementation notes.
Code commit, PR creation, merge, and issue closure workflow via GitHub CLI (gh). Triggers after a goal (GitHub Issue) implementation is complete — commit code, push branch, create PR, merge, then close the issue. Use when the user says "提交代码", "commit and merge", "创建PR", "合入", "关闭issue", "ship-it", or when a goal implementation is done and code needs to be shipped.
对指定文档进行去 AI 味的改写。自动选择最合适的人性化策略(humanizer-zh / humanize-chinese / technical-writing), 迭代改写直到效果达标或迭代 42 次为止。适用于中文文本的去 AI 化处理,包括通用文章、技术文档、学术论文等。 Use when user says: "humanize this", "去AI味", "降AIGC", "人性化改写", "改成人话", "去除AI痕迹", "humanize document", "make text human-like", "去机器味", "降低AI率", "过AIGC检测"
使用 ListenHub API 将文本转换为语音(TTS)。支持三种模式:快速合成(/v1/tts)、 多角色脚本(/v1/speech)、长文本流式合成(/v1/flow-speech/episodes)。 音色未指定时自动获取音色列表供用户选择,默认使用 chat-girl-105-cn(晓曼)。 Use when user says: "tts", "text to speech", "语音合成", "文字转语音", "朗读", "生成语音", "生成音频", "转音频", "text to audio"