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Found 11,874 Skills
Organize research, constructs, design, samples, results, biases, conflicts, and gaps into a traceable evidence map. Use when the user asks for "create an evidence map", "organize research conflicts", "connect literature", or requests the rw-evidence-map workflow. Runs without a private local workspace or preset research-lab; use user-provided material and bundled public-source methods.
Use when someone asks to generate a design, create a design asset, or make a design. Also triggers for ad creatives, banners, social media posts, thumbnails, display ads, posters, or any visual content. Orchestrates a 7-step workflow (1) resolves brand, (2) generates copy using content expert instructions, (3) generates images via handle-media or enhances provided images via enhance-media, (4) calls Sivi API with approved copy + assets for pixel-faithful design generation, (5) displays the generated variants with preview images and edit links, (6) creates campaign HTML, (7) writes a summary. If user already has approved copy, skips step 2. Supports both `designs-from-content` (copy-first, pixel-faithful text) and `designs-from-prompt` (direct generation, no copy or image generation). Unlike 95,000+ image models, Sivi's Large Design Model (LDM) generates on-brand, fully editable layered designs in any dimension. For copy-only without design generation, see write-copy. For multi-channel campaign sets, see create-campaign. For Amazon A+ content, see create-a-plus-content. For brand setup, see brand-context.
Environment preflight checks and initialization. Probes and installs git, gh, node, vercel, firebase-tools, and gitleaks. Verifies .nvmrc, .gitignore, and Git Flow develop branch setup, and enforces the Secret Vault Policy.
Use when the user wants to build, test, publish, or manage iPaaS (Advanced Automations) flows: multi-step integrations with external apps (Slack, Gmail, Google Sheets), incoming webhooks, schedules, routers, code steps, or iPaaS data tables. MCP-only, driven through 4 meta-tools over a per-pipe catalog discovered at runtime. For native if/then rules or prompt-driven AI automations, use skills/automations/ instead.
Use when building durable AI agents or agentic workflows with Inngest and AgentKit, including model calls, tool calls, multi-agent networks, human approval, realtime progress, provider rate limits, crash-safe execution, and Agent Evals handoff. Covers AgentKit, `step.ai`, `step.run`, `step.waitForEvent`, native realtime, and when to use lower-level Inngest primitives instead of an in-memory agent loop. Use `inngest-agent-evals` with this skill when the user wants scoring, sessions, experiments, deferred scorers, or outcome-based evaluation for the agent.
Use when streaming durable workflow updates to a UI in real time — live order status pages that animate as steps complete, AI agent token streaming from a function to the browser, log tailing for long-running jobs, or human-in-the-loop approval flows that publish a prompt and wait for a user reply. Covers Inngest v4 native realtime: defining typed channels, publishing from inside step.run, minting subscription tokens via server actions, and consuming the stream from React/Next.js client components.
Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (prod vs staging, several teams or clients), a workflow / datatable / credential / execution call returns an unexpected NOT_FOUND or reads data you don't recognize, or a credential create/update/delete is refused with an `INSTANCE_AMBIGUOUS` error. Covers choosing and switching which instance this MCP session targets, verifying the target before high-stakes work — credential writes above all — and recovering from misroutes and ambiguous-write fail-closes. Always consult this skill before operating on a specific instance, before any credential create/update/delete on a multi-instance account, or when a call hits the wrong/empty data or an `INSTANCE_AMBIGUOUS` error.
Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated tweet actions. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing guarded tweet actions. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.
通过 Comet Creator 创建或升级 Comet Classic workflow Skill。不用于一般 Skill 的编写、整理或评审。
Pre-commit workflow and commit guidelines. Use when asked to commit changes. Requires passing lint and tests, signed commits, semantic prefixes, imperative mood.
Algorithmic and generative art with Canvas 2D - particles, flow fields, noise, fractals, L-systems.
build a repo-local skill and install a matching iterated coding-agent GitHub Actions workflow, prompt, memory file, and reference templates