skill-autoresearch
Route reusable skill-improvement work into one bounded repo-local ratcheting packet: ratchet eligibility, benchmark readiness, loop charter freeze, baseline…
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 10-18 00:12
24,054 results
Route reusable skill-improvement work into one bounded repo-local ratcheting packet: ratchet eligibility, benchmark readiness, loop charter freeze, baseline…
Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel.
Writes turn-level tests for a LiveKit agent in the user's normal test suite: pytest (Python) or Vitest (Node.js). Use when the user asks to "write tests for my…
Mechanics library for running AI coding CLIs as managed tmux workers via agent-tmux <cli> <command> (plus tmux-agent-sessions and the other bundled tools).…
Evolutionary self-improvement for Hermes Agent using DSPy + GEPA to optimize skills, prompts, and code
DigitalOcean Gradient AI agentic cloud and AI platform for building, training, and deploying AI agents on GPU infrastructure with foundation models, knowledge…
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from…
Design a multi-agent workflow for a complex task when the user requests dynamic orchestration.
Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use…
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy.…
Fix or change an AI agent's behavior using MLflow traces and regression tests. Use for wrong or incomplete answers, hallucinations, missing tool calls, new…
Use when starting a new project, adding a new agent to an existing system, or setting up workflow infrastructure from scratch.
When you want to create, adapt, or update an Agent Skill (Claude Code, Codex, Cursor, and other hosts) in one of your repos (listed in…
Methodology for iteratively improving agent-facing instructions (skills / slash commands / CLAUDE.md / code-gen prompts) via bias-free executor + two-sided…
Generate typed TypeScript SDKs for AI agents to interact with MCP servers. Converts JSON-RPC curl commands to clean function calls. Auto-generates types,…
Controls Windows Remote Desktop sessions for automation, testing, and remote administration. Use when the user needs to connect to Windows machines via RDP,…
Bootstrap agentic development environment from agent.toml manifest
Deploys and operates a LiveKit agent in production: shipping a version to LiveKit Cloud and rolling it back, secrets and configuration, the worker process…
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots,…
Creates new Claude Code skills following repository conventions with proper structure, frontmatter, workflows, code examples, and reference files. Use when…
Assesses what a page's heatmap is telling you and recommends concrete changes. Pulls click / rageclick / scroll-depth data for a URL, names the hot elements by…
Spawn nested sub-agents (agents that spawn sub-agents, up to depth=5) via Claude Code's native Task tool — for context-managed deep delegation
Image generation and image editing for agents under Luxin's original skill name, with no API key to obtain first. The agent signs itself up in one command,…
Entry point and governing principle of the Qiushi methodology. Load once at the start of each new top-level session, use "seeking truth from facts" to constrain all judgments, and route the task to the corresponding methodology skill only when it clearly applies; sub-agents dispatched to carry out a single concrete task skip this directly. English: Entry point and governing principle of the Qiushi…