rag-engineer
Build RAG systems: document chunking, embedding generation, vector storage, retrieval strategies, and answer generation.
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-07 00:13
Agents & models
25,860 results
s3-storage
Upload, download, and list files in S3-compatible storage (AWS S3, Cloudflare R2) using Python boto3.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when…
levelup-trace
Generate a session execution trace from the current agent session. Captures what the agent did, decisions made, files changed, and reusable patterns. Use after…
seedance-prompting
Seedance 2 Prompt Generator: Transform any creative brief into perfect Seedance 2.0 prompts following the official 6-layer architecture (Subject → Action →…
agy-harness
Drive the Antigravity (Gemini) CLI (`agy` / `agy.exe`) from another agent: winget install, one-shot --print, continue conversations, models. Triggers:…
mcp-server
Specification for building Model Context Protocol servers using Python
autonomous-multi-ai-agents
Coordinate multiple AI agents that can chat, use voice, and edit code/files/folders simultaneously while avoiding destructive collisions. Agents may share…
hosted-multi-agent-orchestrator
Coordinate multiple AI agents (host + workers) that can chat and generate artifacts in parallel using /api/chat and /api/generate. The host agent stays present…
meta-superpowers
Startup protocol for every task—discover applicable skills, run them, announce usage, and follow required workflows (brainstorming, TodoWrite checklists, etc.).
linear-discipline
Always-on Linear session discipline and one-time soft nudge for untracked repos. Use whenever non-trivial work is happening in a repo that already has a Linear…
linear-finish-install
Finish Linear tracking pack install after skills are present: write always-on rules (Linear = default source of truth every session) and verify Linear MCP…
linear-setup
Bootstrap or extend Linear project tracking the right way — methodology, not API CRUD. Use when the user asks to set up Linear tracking, track this project in…
context-loader
Synchronizes startup context across Claude instances, runs at launch.
trigger-authoring-chat-agent
Author and run a durable AI chat agent with chat.agent from @trigger.dev/sdk/ai: the per-turn run loop, why you MUST spread ...chat.toStreamTextOptions()…
trigger-chat-agent-advanced
Advanced and operational chat.agent capabilities for Trigger.dev, loaded on demand. Load this when working on the raw Sessions primitive (sessions /…
mcporter
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type…
remote-http-mcp
Connect to a remote streamable HTTP MCP service that exposes announcements and FAQ tools.
voice-call
Start voice calls via the OpenClaw voice-call plugin.
truefoundry-ai-gateway
Configures TrueFoundry AI Gateway for unified OpenAI-compatible LLM access. Covers auth (PAT/VAT), model routing, rate limiting, and budget controls.
ts-create-skill
Create or update skills.
customer-feedback-triage
Triage customer feedback about generated or transformed output. Use when a complaint, support issue, or eval claim needs a decision on whether to fix…
e2e-coverage-triage
Triage Playwright or BDD E2E scenarios into the right proof layer. Use when revising E2E scenarios, shared authenticated sessions, seeded records,…
agent-native-architecture
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying…