iterate
Builder/critic iterative improvement loop (evaluator-optimizer pattern) for any reviewable deliverable — code, documents, designs, research. The session…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-06 00:14
25,710 results
Builder/critic iterative improvement loop (evaluator-optimizer pattern) for any reviewable deliverable — code, documents, designs, research. The session…
An AI automation agency that runs inside Claude Code: an outbound agent that writes personalized cold emails to a list of businesses, a sales agent that preps…
Read from a UModel object-graph semantic layer with the `umctl` CLI (MCP alternative noted). Three kinds of read: (1) entities & relationships / topology…
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks,…
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies…
Use the Alien Agent ID system on any agent harness — verifiable agent identity (Ed25519, L0/L1/L2 assurance), an encrypted credential vault (passkey/Touch ID,…
Drive Alien Browser with an anonymous L0 profile created automatically for public pages, or a logged-in profile sealed in the agent vault. Inspect forms…
Local credential-injecting HTTP proxy. The agent calls `http://localhost:PORT/<credname>/<upstream-host>/<path>`; the proxy looks up the credential in the…
Drive the changesets-based release flow for the agent-id npm packages. Use when the user wants to release packages, cut a version, declare a release intent,…
Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader),…
Write a handoff document so a fresh session or another agent can pick up exactly where this one left off: goal, current state, decisions, next steps and the…
Use to run a dynamic, goal-driven workflow — orchestrate a multi-step goal by composing skills, tools, and MCPs, with a quality gate and verification at each…
Analyze Alibaba Cloud block storage (EBS) disk performance and fleet composition. Use it to locate performance bottlenecks (saturated IOPS or bandwidth),…
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude…
Use when there are multiple independent subtasks that can progress in parallel without overlapping ownership or blocking the next local step
Add Allure test-agent guidance to a project by detecting the local Allure and test setup, adding short root agent entry-file routers such as AGENTS.md or…
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express…
One-line trigger description for when an agent should load this skill.
Fully automatic generation of a panoramic map of frontier technology fields. Suitable for technology-centric tracks (such as quantum computing, nuclear fusion, AI Agents, etc.), constructing a complete academic → open source → commercialization trajectory through bidirectional mining (forward tracking of academic origins + reverse tracing of unicorn founding teams). Trigger words: "technology mapping", "technology panorama", "technology map", "track map".
Use when the user mentions wallet connect/sign in/sign out, check balance, send/transfer tokens, swap/buy/sell tokens, DEX trade, limit/market order, cancel…
End-to-end ONNX PTQ workflow for AMD Quark — for `.onnx` input models (with optional sibling `.onnx_data` external-weights file). Use when the user wants a…
Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation. Trigger for "install PyTorch", "pip install torch",…
End-to-end Torch LLM PTQ recipe for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize, then validate, then evaluate…
Govern interactive agentic harnesses running in tmux. Use when the user asks the primary agent to discover, launch, take over, resume, direct, monitor,…