triple-memory
Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-05 00:16
Agents & models
25,663 results
browser-act
Browser automation CLI for AI agents. NEVER run browser-act commands directly via Bash — always invoke this skill first. Use browser-act when a user mentions…
herdr-orchestration
Orchestrate agent workers through Herdr from any host agent, with capability-based routing, supervised integration, and scoped cleanup.
english-immersion
Turn daily Claude Code sessions into passive English immersion + PTE prep for the user. Opt-in via English Mode ON/OFF. Lightweight in-session intent…
mcp-server-implementation
Implements MCP servers with the official TypeScript or Python SDK - tools/resources/prompts, stdio and Streamable HTTP transports, the initialize handshake,…
optimize-prompt
Rewrites and tunes existing prompt text - removes contradictions, applies reasoning-vs-standard regime rules, sizes few-shot examples, fixes structured output,…
setup
Activate for: configure agentic office, install agentic office, agentic office orientation, two-plugin architecture, create work.local, initialise workplace…
stitch-mcp-get-project
Retrieves the detailed metadata of a specific Stitch project.
stitch-mcp-list-screens
Lists all screens contained within a specific project.
principle-guard-the-context-window
Apply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not…
reflect
Spawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user…
swarm
Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
review-and-improve
Review agent sessions for durable workflow improvements when explicitly requested, and implement the improvements the user authorizes.
agent-development
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent…
autoresearch
Use for autoresearch or "optimize X overnight/in a loop"; plans bounded measurable experiment batches, then delegates execution through codex-handoff.
self-subagent
Orchestrate parallel sub-tasks by spawning non-interactive instances of your own CLI as subagents. Use when you need to parallelize work across multiple files,…
prompt-only
Reformat an informal or dictated request into a structured prompt (Role / Task / Context / Constraints / Output format / Bookend) and emit it as a reusable…
rust-iot
Use when building IoT applications, sensor networks, or edge devices in Rust. Covers telemetry, protocol buffers, protobuf, CoAP, BLE, Bluetooth, serial…
agentviewer
Display rich content (markdown, code, diffs, mermaid diagrams) to users in a browser viewer. Use when you need to show complex content that benefits from rich…
missions
Break large engineering tasks into planned, validated missions executed by specialized agents. Use this skill whenever the user wants to tackle a task that is…
agent-engineering-expert
Build LLM agents that use tools safely: tool design, the agent loop, memory, MCP servers, multi-agent orchestration, sandboxing and prompt-injection defence.…
llm-engineering-expert
Build reliable applications on large language models: prompt design, structured output, evaluation, guardrails, and cost and latency control. Use when the user…
rag-expert
Design retrieval-augmented generation systems: chunking, embeddings, vector and hybrid search, reranking, grounding and evaluation. Use when the user mentions…
robotics-expert
Develop production-ready robotic systems with autonomous navigation, sensor fusion, and intelligent control for real-world applications. Use when the user…