4 082 agent workflow skills from 665 authors. They configure the agents themselves: memory, prompts, context and other skills. Half of them fit into 1 830 tokens or less — that is what one costs your context window when the agent loads it. 769 ship runnable scripts rather than instructions alone. 5 of them cannot work without an MCP server, most often task. We also found 541 copies of these same skills sitting in other people's repositories — counted once here, not 541 times.
4 082 unique 665 authors 2 734 updated this month 466 from vendors
| 通过分步访谈引导用户理清需求，最终产出完整的Skill文件包（含SKILL.md、参考文档、示例文件等）， 并打包为可直接使用的压缩包。 当用户说"我想通过访谈新建Skill"、"用访谈方式做一个Skill"、"访谈建Skill"、 "通过访谈帮我生成Skill"、"访谈式创建Skill"、"我想访谈做一个XX的技能"时触发。 触发关键词必须包含"访谈"二字，不含"访谈"的Skill创建请求不由本Skill处理。 不用于已有完整SKILL.md只需小改的情况，也不用于一次性提示词请求。
| AI Native PM Agent — 八书合一的产品全生命周期编排器。 用户提供产品想法或问题线索，Agent 自动路由到 P0-P14 对应阶段执行。 基于8本书的方法论体系，80个可执行Skill。
| AI Native 产品方法论——上下文工程的实操 Skill。 用户提供任务场景，Skill 自动执行上下文组织流程： 任务目标识别 → 上下文层选择 → 动态拼装 → 成本与窗口控制 → 结果校验与纠偏 → 输出上下文工程方案。 基于《AI Native 产品方法论》第14章。
| AI Native 产品方法论——智能体与技能单元设计的实操 Skill。 用户提供任务场景，Skill 自动执行能力编排设计流程： 任务拆解 → Agent 角色定义 → Skill 拆分 → Tool 映射 → 边界与回退设计 → 输出能力编排方案。 基于《AI Native 产品方法论》第12章。
AI Native 产品经理 Agent — — 五书合一的产品工作流编排器。 用户提供一个产品想法或问题线索，Agent 自动编排七个阶段： P1需求发现 → P2方向定界 → P3体验设计 → P4系统构建 → P5商业模式 → P6增长策略 → P7审计投产。 基于五本书：《AI Native 产品方法论》《AI时代的用户体验》《AI确定性商业模式》《AI Native 营销与增长》《AI rebuild product needs》。
AI Native 产品需求发现 Skill。基于《AI rebuild product needs》方法论， 帮助用户在 AI Agent 时代重新定义需求：区分真实需求与伪需求， 以"场景为入口、处境为本体"，用行为证据替代表达性需求， 最终输出一份经过验证的 AI Native 需求简报。
AI Native 产品需求发现 Skill。基于《AI rebuild product needs》方法论， 帮助用户在 AI Agent 时代重新定义需求：区分真实需求与伪需求， 以"场景为入口、处境为本体"，用行为证据替代表达性需求， 最终输出一份经过验证的 AI Native 需求简报。
Agent 边界清单。AI 产品最危险的不是做不到，而是做过头。 这个 Skill 帮你系统性地定义 AI 应该做什么、不应该做什么、什么时候必须停下来等人。 基于《AI rebuild product needs》工具卡。
AI Native 产品方法论——智能体与技能单元设计的实操 Skill。 用户提供任务场景，Skill 自动执行能力编排设计流程： 任务拆解 → Agent 角色定义 → Skill 拆分 → Tool 映射 → 边界与回退设计 → 输出能力编排方案。 基于《AI Native 产品方法论》第12章。 '
AI Native 产品方法论——上下文工程的实操 Skill。 用户提供任务场景，Skill 自动执行上下文组织流程： 任务目标识别 → 上下文层选择 → 动态拼装 → 成本与窗口控制 → 结果校验与纠偏 → 输出上下文工程方案。 基于《AI Native 产品方法论》第14章。 '
An advanced, autonomous AI agent skill designed to execute complex, multi-step, and long-horizon tasks with high reliability and minimal human interruption.
An advanced, autonomous AI agent skill designed to execute complex, multi-step, and long-horizon tasks with high reliability and minimal human interruption.
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Prompt: Prompt Refinement and Optimization
Create a Delegation Pack (brief, decision rights, context handoff, check-in cadence, debrief).
Convert a Refound/Lenny Skill into an agent-executable Skill Pack.
> 🤖 Data Science & AI/ML skill suite derived from borghei/Claude-Skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
> 🤖 Data Science & AI/ML skill suite derived from travisvn/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
> 🛒 E-commerce & Retail skill suite derived from ComposioHQ/awesome-claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
Restart the current Claude Code CLI in its own terminal (iTerm2 window or tmux pane) and resume a session — the external relaunch step an agent cannot perform on itself. Use when: (1) the session's context is nearly full and was just stripped in place with session-stripper, so the CLI must restart to load the smaller transcript, (2) resuming a forked stripped session under a new session id, (3) the user or the agent says respawn, restart yourself, restart the CLI, reload the session, or resume after strip. Backends: iTerm2 (macOS) and tmux (works headless, e.g. Linux servers).
Manually trim, compact, persist, and repair Claude Code conversation sessions stored as JSONL files. Use when the user wants to: (1) fix a session hitting 'Prompt is too long' errors, (2) manually compact or strip a session to reduce context, (3) analyze a session's token usage and message chain, (4) strip tool call inputs and results from a session, (5) strip thinking blocks from a session, (6) compact part of a session before a specific message, (7) verify or repair a broken session chain, (8) persist and summarize tool results to reduce context intelligently, (9) perform any JSONL-level surgery on Claude Code sessions. Triggers on mentions of session surgery, session trimming, session stripping, context compaction, session repair, prompt too long, session compact, manual session manipulation, summarize tool results, or persist tool output.
Local peer-to-peer chat and remote control between Claude Code AND OpenAI Codex sessions running concurrently on the same machine (cross-CLI: setup-codex wires Codex 0.145+ hooks), with mIRC-style rooms: register under a name, broadcast to your project room or other rooms, DM other agents, get unread messages auto-delivered by hooks, wake idle peers (nudge), watch their terminals (screen), drive them with keys (escape/enter/...), and spawn brand-new agents into fresh iTerm windows or tmux sessions. Use when: (1) the user asks to message, notify, coordinate with, watch, stop, or control another running agent/session, (2) joining the agent chat ('register as summarizer'), (3) announcing schema/format changes or claiming work areas between parallel agents, (4) checking/reading agent chat messages or browsing rooms, (5) spinning up a new worker agent in a new window or headless tmux session, (6) rebinding an agent identity after a session fork/strip/restart, (7) installing agent-chat on a new machine. Triggers on agent chat, message the other agent, tell the other session, coordinate agents, nudge an agent, spawn an agent, register on chat, chat rooms. Backends: iTerm2 (macOS) and tmux (works headless, e.g. Linux servers).
READ this skill when designing or planning any game system architecture — including combat, skills, AI, UI, multiplayer, narrative, or scene systems. Contains paradigm selection guides (DDD / Data-Driven / Prototype), system-specific design references, and mixing strategies. Works as a domain knowledge plugin alongside workflow skills (OpenSpec, SpecKit) or plan mode of an agent.
In-session, token-efficient LLM security scan of a repo (SAST triage). A lightweight, native Claude Code pipeline — survey → threat-model → deep-dive → adversarial-verify → report — using Read/Grep/Glob (and optional subagents), no external tooling. Use when asked to "security scan", "find vulnerabilities", "SAST", "audit this code for security", or "secscan".
Foundational values, directives, and context engineering rules for all Agile V agents. Load first in every Agile V session.
Orchestration pipeline, wave execution, handoff protocols, and checkpoint types for the Agile V 5-stage workflow. Load when orchestrating multi-agent pipelines or managing stage transitions.
Chief Financial Officer (CFO) orchestrator for financial modeling, fundraising strategy, cash management, financial controls, board reporting, and unit economics governance. Orchestrates business-operations (finance) and venture-strategist (investor relations).
Chief Executive Officer (CEO) orchestrator for strategic alignment, cross-C-suite coordination, board relations, crisis management, and executive decision governance. Orchestrates all C-suite agents and venture-strategist.
Chief Operating Officer (COO) orchestrator for cross-functional execution, process design, delivery cadence governance, vendor escalation, resource arbitration, and operational playbooks. Orchestrates business-operations (ops), release-manager, agile-v-product-owner, gtm-executor.
Chief Technology Officer (CTO) orchestrator for architecture governance, build-vs-buy decisions, tech debt management, engineering standards, platform strategy, and security posture. Orchestrates rd-innovator, build-agent, observability-planner, threat-modeler.
Dart/Flutter build agent for mobile apps, Flutter widgets, and Dart packages. Extends build-agent with Dart-specific conventions. Use when building Flutter apps, Dart packages, or mobile (iOS/Android) features.
JavaScript/TypeScript/Web build agent for web apps, Node backends, and frontend components. Extends build-agent with JS/Web conventions. Use when building web apps, APIs, or frontend/backend features.
C/C++ build agent for embedded systems, firmware, and MCU projects. Extends build-agent with embedded constraints. Use when building firmware, bare-metal code, or resource-constrained systems.
Manages R&D pipeline, technology scouting, prototyping, and IP tracking with traceable innovation-to-product handoff. Use when evaluating technologies, managing prototypes, or transferring validated innovations to the engineering pipeline.
Consume Understand Anything outputs and create a concise, reviewable system overview that gives agents sufficient context before modifying code (Gate 0).
Author and optionally direct-launch one durable loop-graph run for long-horizon agent work. Use when the user invokes /octopus, asks to design or start a multi-round run, needs durable state, gated milestones, owner decision boundaries, cross-host continuity, or independent audit. Detect Codex or Claude Code from context instead of asking. For a self-contained task, recommend the host's ordinary task or goal directly. Do not execute or resume existing runtime node files from this authoring skill.
Author and optionally direct-launch one durable loop-graph run as executor, ledger, directives, and supervisor artifacts under a dated `.longgraph` directory, then present copy-ready host prompts. Use for multi-round work with gated milestones, independent audit, cross-host execution, or durable state. Detect Codex or Claude Code from context and create both same-host runtime nodes when the owner chooses direct launch. Existing runtime nodes are self-contained.
> 🛒 E-commerce & Retail skill suite derived from alirezarezvani/claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
> 🤖 Data Science & AI/ML skill suite derived from ComposioHQ/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
> 🛒 E-commerce & Retail skill suite derived from alirezarezvani/claude-code-skill-factory. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
| Reference for Nimble Web Search Agents (Agent API V2). Load when a task needs open-ended research, enrichment, or dataset building — where the source isn't fixed, data is scattered, structure is inconsistent, or a synthesized answer is needed. locking, run-level `skill` override, run controls, live events vs polling, trust and citations, and safe credentials.
Create polished executive or client presentation decks in Codex through a staged workflow: optional research, user direction, narrative outline, subagent critique, wireframe, mood boards, and final full-slide image design. Use when the user asks to make a polished presentation, turn research, notes, or dictated direction into a deck, create an executive/client deck, build a deck with mood boards, or design slides using image generation. Requires the imagegen skill for mood boards and final slide images.
Author and optionally direct-launch one durable loop-graph run for long-horizon agent work. Use when the user invokes /longgraph (or legacy /octopus), asks to design or start a multi-round run, needs durable state, gated milestones, owner decision boundaries, cross-host continuity, or independent audit. Detect Codex or Claude Code from context instead of asking. For a self-contained task, recommend the host's ordinary task or goal directly. Do not execute or resume existing runtime node files from this authoring skill.
Scaffold a new context-mill skill that walks an agent through an ordered series of narrowly-scoped reference files. Works for any number of steps. Use when the user wants to add a docs-only skill where the agent must read each step in strict order, one at a time, with each step isolated, with clear endpoints, and no prefetching.
> Ranks the brands within one Mercado Livre (Brasil) category by estimated weekly revenue and tracks how each brand's position changes between periods, using JoomPulse. Each run builds today's brand-ranking table and offers it for download; to see how positions moved, the user sends a brand table from a previous period and the skill shows each brand's movement (rose, fell, new, or out). The baseline is whatever table the user supplies — no hidden session memory. Use it to see the top brands in a category and which are rising or falling. the pt-BR "principais marcas da categoria", "ranking de marcas", "quais marcas estão crescendo". Mercado Livre (Brasil) only; sales and revenue are JoomPulse estimates, not real transactions. To rank sellers (shops) rather than brands use the top-sellers-in-category skill; for category market size use the category-opportunity-index skill.
> Snapshot tracker for one Mercado Livre (Brasil) seller via JoomPulse — estimated monthly revenue and sales, listing count, sales trend, reputation, seller medal, categories covered, and cancellation rate. Each run builds today's snapshot table and offers it for download; to see what changed, the user sends the seller's table from a previous period and the skill shows the metric-by-metric difference (old → new). The baseline is whatever table the user supplies — no hidden session memory. Use it to track one specific seller over time. "compare this seller with last period", and the pt-BR "monitorar este vendedor", "acompanhar esta loja", "o que mudou nesse vendedor". Sales and revenue are JoomPulse estimates, not real transactions. To rank many sellers in a category and track how that ranking moves, use the top-sellers-in-category skill. Mercado Livre (Brasil) only.
Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.
One-click starter pack and curator for Codex/agent skills. Use when a beginner wants a high-quality default skills setup across common needs, when the user asks to install useful skills without researching them one by one, or when the installed skills library needs auditing, deduplication, conflict resolution, global-vs-backup selection, restore planning, or a written skills inventory.