1,061 tagged llm agents, measured the same way as everything else here.
Browse within: Multi-Agent 91ai-for-science 83reinforcement-learning 66agentic-workflow 64ai-coding-assistant 62agent-evaluation 61agent-memory 61human-in-the-loop 61llm-inference 61agent-control-room 60agent-society 60ai-video-generation 60benchmark 60coding-patterns 60
Skill Claude CodeCodex
Apply A-Evolve's agentic evolution methodology to improve AI agent performance across runs. Use when the user wants to diagnose agent failures, generate targeted skills from error patterns, evolve system prompts, or accumulate episodic knowledge. Works standalone or inside AutoResearchClaw pipelines. Triggers on…
Skill Claude CodeCodex
Run Flux Balance Analysis (FBA) and related constraint-based simulations using COBRApy. Covers standard FBA, parsimonious FBA (pFBA), Flux Variability Analysis (FVA), loopless FBA, gene/reaction knockouts, and carbon source swapping. Outputs flux distributions and CSV files.
Skill Claude CodeCodex
Reference qiskit 2.x patterns for variational quantum machine learning. Covers data-encoding feature maps, variational quantum classifier (VQC) training, variational quantum eigensolver (VQE) for chemistry, matrix-product-state circuits, and noise model integration. Use when writing Python code that imports qiskit…
google-antigravity/antigravity-sdk-python
Skill Claude CodeCodex
Design, implement, and debug autonomous AI agents and multi-agent systems using the Google Antigravity (AGY) SDK. ACTIVATE this skill when the user wants to create, configure, or orchestrate Google Antigravity agents.
Skill Claude CodeCodex
Use this skill when the user asks about Stripe Connect configuration, charge patterns, Dashboard access, or how to get started with Connect, is building a marketplace, platform, multi-vendor store, gig platform, or subscription platform, needs to pay out sellers, vendors, or providers, mentions split payments, revenue…
Skill Claude CodeCodex
Use this skill when the user asks what information a Stripe Connect connected account must provide for verification, onboarding, KYC, or account requirements; when they need to compare requirements between connected-account setups; or when they ask which verification fields, documents, or business details are required…
Skill Claude CodeCodex
Use when building, modifying, or reviewing a Stripe App — or when the user describes something that implies one (e.g. "add a panel to the customer page", "customize my Stripe Dashboard", "react to Stripe events from my app", "connect my service to Stripe without sharing API keys"). Covers the full app development…
stanford-iris-lab/meta-harness
Skill Claude CodeCodex
Run one iteration of AgentHarness evolution for Terminal-Bench 2.
stanford-iris-lab/meta-harness
Skill Claude CodeCodex
Run one iteration of memory system evolution. Called by metaharness.py or interactively via /meta-harness.
Skill Claude CodeCodex
Produce emotion.json and intention.json from workspace context.
Skill Claude CodeCodex
Persist important outcomes from this step to long-term storage with automatic forgetting curve.
Skill Claude CodeCodex
Execute intentions through the environment.
Spark-To-Paper-Skills/paperjury
Skill Claude CodeCodex
Three modes for CS-conference papers (CVPR/ICCV/ECCV vision, ACL/EMNLP/NAACL NLP, ICLR/NeurIPS/ICML/AAAI ML). DIRECT-EDIT mode (common): the user describes a change in Chinese or English and the manuscript (LaTeX or Markdown) is edited directly through a CS-venue writing toolkit with author sign-off (use for 改这段 /…
TheGreenCedar/codex-autoresearch
Skill Claude CodeCodex
Triage improvement work and run or resume accepted measured loops in a local project. Architecture, documentation, UX, product study, open research, taste, and one-shot fixes stay direct unless the user explicitly requests repeated measurement with a complete experiment contract.
Skill Claude CodeCodex
Optimize an AI agent's harness for MCP-Atlas benchmark. Use when analyzing execution traces, diagnosing failures, and proposing improved prompts, skills, or harness code.
Skill Claude CodeCodex
When to prefer GUI mouse clicks over keyboard shortcuts — especially for formatting, multi-step visual tasks, and cross-application workflows.
Skill Claude CodeCodex
Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.
Skill Claude CodeCodex
This FigMirror skill should be used when the user asks to "mirror this figure's style", "copy this figure's style", "make a chart that looks like this paper", "reproduce this figure with my data", "match this paper's aesthetic", "I want a NeurIPS-quality version of this", or any variant where they hand over a cropped…
Skill Claude CodeCodex
Implement tasks from an OpenSpec change. Use when the user wants to start implementing, continue implementation, or work through tasks.
Skill Claude CodeCodex
Enter explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements. Use when the user wants to think through something before or during a change.
Skill Claude CodeCodexCursor
Run focused literature and web research from a grounded note. Use when a grounded note already exists and you want targeted research results, opened-link evidence, deeper per-paper analysis materials, optional downloaded literature, and a two-stage literature output (litinitial.md then refined lit.md).
Skill Claude CodeCodexCursor
Review a research report draft with a structured scoring rubric, run a bounded repair loop when needed, and produce the final deliverable report.
Skill Claude CodeCodexCursor
Run the full One-Report pipeline from one input file through grounding, research, evidence-rich report drafting, final review quality-gating, and export, while reusing existing skills, preserving current contracts, and enforcing strict downstream skill fidelity for every grounded unit.
Skill Claude CodeCodex
Recover and use durable coding-session history from PRO-LONG's local append-only log. Use on long-running coding tasks, after context compaction or session resume, when reconstructing prior decisions or tool results, or before repeating work that may already have been attempted.