Agent Workflow Claude Skills
4 122 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 844 tokens or less — that is what one costs your context window when the agent loads it. 778 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 589 copies of these same skills sitting in other people's repositories — counted once here, not 589 times.
4 122 unique 665 authors 4 updated this month 506 from vendors
Next-action selector for this pack: reads current repo, terminal, plan, or handoff state, scores 2-4 candidate moves against goal alignment, unblocking, evidence, urgency, and leverage, and returns one recommended action plus a short, self-contained copy/paste prompt — expanding into a full operator prompt or granular steps only on request. Use when the user asks 'what's next', 'what should I do next', 'recommend the next move', 'give me the prompt', 'expand prompt', or 'make it granular', especially after a review, audit, plan, or stalled task. NOT FOR: executing the recommended action without the user's separate authorization, or coordinating a multi-lane build across specialists (use suede-agent-teams).
Package creative projects into an evidence-scoped rights handoff with normalized works, recordings, releases, parties, identifiers, claims, licenses, consent, provenance, privacy, and validation.
>- Review a proposed Agent Skill for structural validity and content quality before publishing. Runs the skill-validator CLI to check for structural issues, scores the skill with an LLM judge, and interprets results to advise SMEs on what to address. Use when a user wants to review, validate, or quality-check an Agent Skill.
Use when a dev is new to the project, asks for an overview, or wants to get oriented quickly. Fills graph gaps then runs a guided codebase interview.
Use when asked to audit a module, check its health, or assess whether it should be refactored. Runs structural query, risk check, and test generation automatically.
> This skill will add jspecify dependency, configure Maven or Gradle build to automatically use jspecify for checking Nullability issues.
Use this skill when the user wants to author, design, scope, or refine an Agent Skill (a SKILL.md file). Trigger phrases include "build a new skill", "design an agent skill", "scope a SKILL.md", "how should I structure this skill", "write a skill for X", "my skill isn't working well", or any request to improve an existing SKILL.md. Walks the user through an empirical, test-first process — probe the agent for real failures, design only for genuine knowledge gaps, iterate against runnable examples, and verify across models.
Use this skill when the user wants to 'login/log in/sign in', 'authenticate', 'authorize', 'connect OKX account', 'set up credentials', 'first time setup', 'configure okx', '登录', '授权', '认证', '连接账户', '首次配置'. Also when any OKX CLI command fails with an auth error: 'Run okx auth login first', 'Session expired', 'not authenticated', 'requires_auth', '401 Unauthorized', 'token expired/not found', 'StorageNotFoundError', '会话过期', '未认证', '需要登录'. Also when the user asks about login status or the login was interrupted. Also when the user wants to install/update/check/remove the okx-auth binary — 'install/update/remove auth', 'download okx-auth', '安装/更新/卸载认证', 'auth binary status', 'Failed to spawn okx-auth'. Also use before using okx-cex-trade/portfolio/earn/bot for the first time. Do NOT use for market data queries (use okx-cex-market).
Manages OKX Simple Earn (flexible savings/lending), Flash Earn, On-chain Earn (staking/DeFi), Dual Investment (DCD/双币赢), and AutoEarn (自动赚币) via the okx CLI. Use this skill whenever the user wants to check earn balances, browse flash-earn projects, subscribe or redeem earn products, view or set lending rates, monitor on-chain staking orders, interact with dual investment structured products, or manage auto-earn — even if phrased casually as 活期赚币, 定期赚币, 闪赚, 赚币, 申购, 赎回, 链上赚币, 质押, 理财, 双币赢, 双币理财, 双币申购, 高卖, 低买, dual investment, DCD, flash earn, buy low, sell high structured product, earn with target price, 目标价, 自动赚币, auto earn, auto-earn, 自动借出, 自动质押, auto lend, auto staking, USDG earn, USDG 赚币, 闲置资金自动理财, fixed earn, fixed deposit, term deposit, 定期理财, 定期. Also use when the user asks about idle funds and whether to earn on them.
Use this skill when the user asks to: 'find a trading skill', 'search for skills', 'install a skill', 'add a skill', 'download a skill', 'browse skill marketplace', 'what skills are available', 'update a skill', 'check for skill updates', 'remove a skill', 'uninstall a skill', 'list installed skills', 'show my skills', 'skill categories', 'verify skill signature', 'verify installed skill', 're-verify a skill', 'check skill integrity', or any request to discover, install, update, verify, or manage AI trading skills from the OKX Skills Marketplace. This skill covers searching, browsing categories, installing via CLI, downloading zip packages, checking for updates, removing installed skills, and verifying Ed25519 signatures of installed skills. Requires API credentials for marketplace API access. Do NOT use for placing orders (use okx-cex-trade), market data (use okx-cex-market), or bot management (use okx-cex-bot).
> Use when debugging Frappe errors, using bench console for live inspection, analyzing tracebacks, or reading Frappe log files. Prevents wasted debugging time from ignoring log context, misreading tracebacks, and not using bench console effectively. Covers bench console, frappe.logger, error log DocType, traceback analysis, common error patterns, log file locations, pdb/debugger integration, VS Code DAP, profiling, Frappe Recorder, mariadb diagnostics.
cheat-on-skill 的核心。为用户选定的某个候选岗位生成个性化学习策略：差距分析 → 分阶段学习路径（资源+里程碑）→ 作品集清单 → 求职时间线 → 止损线。强调 AI 加速学习、诚实周期、可验证里程碑。触发词："我选XX做学习计划"/"这个岗位怎么学"/"给我学习路径"/"skill plan"/"制定转型策略"。前置：该岗位最好已在 skill-scan 的 candidate_roles 里、判定为可学。
cheat-on-skill 的首次 onboarding。盘点用户能力（现有技能/可迁移底子/学历经验/每周可学时间/能坚持几个月/学习能力自评/地区/目标薪资/转型紧迫度），判定起点档位，创建 .skill-state.json 状态文件，是 skill-scan / skill-plan 的前置。触发词："能力盘点"/"我想转AI相关工作"/"找AI时代高薪工作"/"skill init"/"职业转型初始化"。**当用户想找/规划 AI 时代工作但 .skill-state.json 不存在时，先路由到此。**
cheat-on-skill 的核心。连 BOSS 直聘真实招聘数据 + 网页信号，按用户能力画像找「高薪 × 你学得动 × AI 增强」交集里的候选岗位。每个岗位给：薪资量级 / 需求热度 / 你的差距 / 可学性分 / 诚实学习周期，并过 AI 影响分类与反诈红线。触发词："帮我找岗位"/"找AI时代高薪工作"/"有什么我能学的高薪岗"/"skill scan"/"扫一遍招聘"。前置：需要 .skill-state.json（无则先路由到 skill-init）。
cheat-on-skill 的陪跑进度 skill。用户问“今天该干嘛”“我现在做到哪了”“继续学”“打卡”“我卡住了”“下一步是什么”时触发。读取 .skill-state.json 的 active.progress 和 learning_plan，给当天任务、检查完成情况、记录进度、根据快慢调整计划。前置：已有 .skill-state.json 且 active.learning_plan 存在。
> Publishes a local Markdown file to a user-specified Confluence location, creating a new page or updating an existing one through the Atlassian MCP server. Use when the user wants to post, publish, push, or sync a Markdown file to a Confluence space or page. Requires a configured Atlassian MCP server. Does not write or generate the Markdown itself — point it at an existing file, or use project-documentation-to-confluence for the document-then-publish flow, or plan-a-feature-to-confluence for the plan-then-publish flow. Does not publish to Jira — use work-items-to-jira.
> Creates or updates project documentation for a feature, system, or component and publishes it to a user-specified Confluence location. Use when the user wants feature or system documentation written to Confluence, posted to a Confluence space or page, or synced to a Confluence location. Requires a configured Atlassian MCP server. Does not document to local files only — use project-documentation for that. Does not publish an arbitrary existing markdown file — use markdown-to-confluence for that. Does not plan or specify a new feature to Confluence — use plan-a-feature-to-confluence for that. Does not create architectural decision records — use architectural-decision-record. Does not create coding standards — use coding-standard. Does not produce runbooks — use runbook.
> Runs an evidence-based investigation of a bug, failure, or unexpected behavior with investigate and publishes the resulting investigation report to a user-specified Confluence location. Use when the user wants something debugged, diagnosed, or root-caused AND the findings posted to a Confluence space or page. Requires a configured Atlassian MCP server. Does not investigate to a local file only — use investigate. Does not publish an arbitrary existing markdown file — use markdown-to-confluence. Does not document an already-understood feature to Confluence — use project-documentation-to-confluence. Does not plan or specify a new feature to Confluence — use plan-a-feature-to-confluence. Does not publish to Jira — use work-items-to-jira.
> Produces a progressive-disclosure overview of unfamiliar code or a pull request's changes with code-overview and publishes the resulting overview to a user-specified Confluence location. Use when the user wants code or a PR explained, oriented, or made sense of AND the overview posted to a Confluence space or page. Requires a configured Atlassian MCP server. Does not produce the overview to a local file only — use code-overview. Does not publish an arbitrary existing markdown file — use markdown-to-confluence. Does not document an already-understood feature to Confluence — use project-documentation-to-confluence. Does not root-cause a bug to Confluence — use investigate-to-confluence. Does not plan or specify a new feature to Confluence — use plan-a-feature-to-confluence. Does not publish to Jira — use work-items-to-jira.
> Capture structured feedback on the Han skills and agents used in the current session and optionally post it as a GitHub issue to testdouble/han. Use at the end of any session where one or more han-* skills or agents ran, to rate a run, log what worked and what didn't, or submit observations for maintainers. Does not review code, investigate bugs, or research options; use code-review, investigate, or research for those. Does not provide feedback on skills or agents from non-Han plugins.
> Builds a new Claude Code agent (subagent) from scratch through a relentless, evidence-based interview that walks the agent's design tree decision-by-decision — entity fit, domain focus and vocabulary, role identity, anti-patterns, description, model tier, tools, and self-containment — then reviews the finished agent against the plugin-building guidance and applies every fix it finds. Use when creating, authoring, scaffolding, designing, or drafting a new agent or subagent. Does not build a skill or slash command — use skill-builder. Does not serve, vendor, or refresh the authoring guidance itself — use guidance.
> Authoritative guidance for building Claude Code skills, agents, and plugins, plus init and update steps that install and refresh the plugin-building skills in the current repository. Use when you need the rules or best practices for a skill, agent, hook, or plugin — designing, reviewing, hardening, or checking one against the guidance. Run with `init` to vendor the guidance, skill-builder, and agent-builder skills into the current repository (so they run with no dependency on this plugin) plus a path-scoped rule index, or `update` to refresh an already-vendored copy. Does not run an interview to build a new skill or agent from scratch — use skill-builder or agent-builder. Does not write feature code, review application code, or build non-plugin features.
> Builds a new Claude Code skill from scratch through a relentless, evidence-based interview that walks the skill's design tree decision-by-decision — entity fit, use cases, name, description, workflow steps, tools, and progressive-disclosure layout — then reviews the finished skill against the plugin-building guidance and applies every fix it finds. Use when creating, authoring, scaffolding, designing, or drafting a new skill or slash command. Does not build an agent or subagent — use agent-builder. Does not serve, vendor, or refresh the authoring guidance itself — use guidance.
> Authoritative guidance for building Claude Code skills, agents, and plugins, vendored into this repository. Use when you need the rules or best practices for a skill, agent, hook, or plugin — designing, reviewing, hardening, or checking one against the guidance. Does not run an interview to build a new skill or agent from scratch — use skill-builder or agent-builder. Does not write feature code, review application code, or build non-plugin features.
Guide for creating effective skills that extend agent capabilities with specialized knowledge, workflows, or tool integrations. Use this skill when the user asks to: (1) create a new skill, (2) make a skill, (3) build a skill, (4) set up a skill, (5) initialize a skill, (6) scaffold a skill, (7) update or modify an existing skill, (8) validate a skill, (9) learn about skill structure, (10) understand how skills work, or (11) get guidance on skill design patterns. Trigger on phrases like \"create a skill\", \"new skill\", \"make a skill\", \"skill for X\", \"how do I create a skill\", or \"help me build a skill\".
Project-context awareness — multi-session workflows around one topic, shared materials and preferences, and cross-mode handoffs as a high-value user path.
Author a new Pneuma mode end-to-end — manifest + viewer + skill + seed + showcase. Use this skill whenever the user says they want to create a new mode, fork an existing one for a different domain, scaffold mode files, design a new viewer, or asks "how should I build a mode for X". Walks the user through a discovery interview, produces a design brief that names every key choice (Source kind, ViewerAddress vocabulary, action space, seed strategy, external integrations, evolution directive), and only then generates the directory skeleton. Encodes the practice rules pulled from webcraft / slide / diagram / illustrate / remotion / kami. Pneuma Skills project only; Claude Code only.
> Rewrite the active Pneuma session's UI title + one-line summary so the launcher and ProjectPanel rows reflect what the session is actually about. Use this skill whenever the user asks to "整理 / 概括 / refresh / re-title / summarize this session", whenever the conversation has produced substantive work and the default title ("WebCraft session") is now uninformative, or before the user pauses a long session — the next time they reopen it, the row needs to say reopens, mode-agnostic.
> creating modes, editing manifest.ts, pneuma-mode.ts, viewer components, skill prompts, seed files, publishing, forking, or any mode package development. This skill defines the ModeManifest reference, ViewerContract patterns, and publishing workflow. Consult before your first edit in a new conversation.
Use when mining coding-agent session history, archived transcripts, memories, or repeated local work to discover recurring workflows that should become new Agent Skills.
Use when turning local, private, or personal Agent Skills into publishable skills for GitHub, marketplaces, teams, or public sharing, especially when private paths, personal habits, credentials, internal hosts, or user-specific context must be removed.
Use when auditing or adapting newly created, downloaded, forked, installed, or community Agent Skills to the user's tools, habits, directories, session history, and preferred workflows, especially when triggers feel wrong, noisy, or too generic.
>- 质检 Agent：检查 vibe-coding-kit 其他 Skill 的产出物是否符合治理规范。 当用户说"检查一下产出"、"帮我看看合不合规"、"质检"、"验证 PRD"、"检查项目说明书"， 或在任何 Skill 完成产出后，使用此 Skill 做合规检查。 它读取项目根目录的 harness.json，逐条校验产出文件，报告违规项和修复建议。 这是 vibe-coding-kit 套件的治理层（harness），确保所有产出物格式统一、质量达标。 它不止检查格式，还会做跨 Skill 一致性校验——比如 PRD 里的项目名和项目说明书里的项目名是不是一致。
>- 一个"访谈式"的需求 Agent：通过一问一答 + 在岔路口给建议，把一个说不清需求的人，带到一份 AI 能直接照着开工的 PRD。 当用户说"我想做个 XX 但不知道怎么跟 AI 说"、"帮我理需求"、"帮我写个 PRD"、"我有个想法，帮我想清楚再开工"， 或在 Claude Code / Codex 里准备开一个新项目、却还没把要做什么定清楚时，使用此 Skill。 它不是让用户填表格，而是像产品顾问一样访谈：一次只问一件事，遇到用户判断不了的选择（尤其"产品形态"和"技术栈"） 会给出 2-3 个大白话选项 + 推荐一个最简可行的默认 + 一句话讲清代价，等用户拍板。 访谈结束后，直接把 prd.md 和 项目说明书.md 写进项目目录，并提议生成可点击的 HTML 原型。 这是 vibe-coding-kit 套件里"把需求从人嘴里问出来"的交互入口。
Update agent context files for this project. Use when the user invokes /update-agent-context, asks to "update agent docs", "update CLAUDE.md", "update AGENTS.md", "add to agent_docs", "record a correction", or mentions updating context for a specific topic.
Set up Claude Code for this project. Use when the user invokes /setup-claude, asks to "set up claude", or "create the skills symlink".
Build the curated interactive SET the Editor approved: the ONE narrative-bound hero centerpiece (an explorable/scrollytelling that makes the reader PRODUCE the lead finding) PLUS the ranked supporting playgrounds — each bound to a distinct finding — to the same three-layer-number standard, plus animation/transition craft. Consumes editor.json.interactives + imagineer.json + the Analyst's client_model. Outputs interaction.json (centerpiece + supporting[] + playtest_handoff) for the Programmer; may reach back into the Editor's spine when the lead finding should be hands-on.
Use when creating a full or partial set of genre wrapper skills under a genre directory. Builds `.github/skills/` subfolders and `SKILL.md` skeletons for a specified genre, keeps the `题材名-能力名` naming rule, and writes hard requirements that each genre skill must load and use its corresponding common skill when that common skill already exists.
The original v1 taste-skill, preserved for projects depending on its exact behavior. The current default is `design-taste-frontend` (v2 experimental), which is a substantial rewrite. Use this v1 install name only if you need exact backward compatibility.
用于以默认极严、保守、负面证据优先的口径评估作品在目标平台的签约或过稿潜力。适合统一承接评估流程骨架、分阶段准入评估、材料完整度判断、评分维度、概率区间、封顶与一票否决规则，并兼容竞争位 / 竞品威胁评估语境。评估{目标平台}项目时，强制要求使用多种可用网络搜索工具检索{目标平台}同题材 TopN 候选池（起点默认按起点中文网榜单检索，其他平台按可用性调整），并按 "TopN 候选池 + 3–5 主压制样本 + 四层竞对拆解"做从严对照。目标平台路由优先级：用户显式指定 > Agents.md 主输出平台 > 默认回退起点中文网。关键词：平台签约评估、极严评估、分阶段准入评估、总纲预评估、分卷预评估、正文准入、过稿潜力、签约概率评估、概率区间、一票否决、竞品威胁评估、评估报告、榜单对照。"
用于蒸馏一位小说作者的文笔 DNA，产出可被下游写/审/改 Skill 消费的"作者风格模板"。适合把作者的多部作品的文笔特征提炼为可测量的风格约束（句长基线、段落节奏、感官偏好、对话标签偏好、比喻指纹、禁忌清单），并在目标项目根目录自动注册到 Agents.md。关键词：蒸馏作者文风、作者风格模板、文笔DNA、风格注入、文风复刻。
> Security audit and vulnerability scanner for AI agent skills before installation. directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. "check skill before install", "skill security check", "skill vulnerability scan".
Skills for web search and content scraping via DuckDuckGo MCP Server. Used when users need online searching and web scraping.
The skill for control Home Assistant smart home devices and query states using MCP protocol.
A test skill
An example skill for testing diff-skill evaluation.
An example skill for testing diff-skill evaluation.
| Compare two versions of a skill's instructions to detect degradations and complexity increases. Asymmetric check — only regressions count. Additions, clarifications, and strengthenings are not degradations. Compares HEAD → working tree by default. Walks the full reachable file set from SKILL.md via markdown links. Produces a report file under docs/reviews/diff-skill/ and an inline summary.