23 tagged large language models, measured the same way as everything else here.
Browse within: alpha-evolve 9artificial-intelligence 9autoresearch 9coding-agent 9llms 7api 5llmops 5
Agent
Maps existing Atomic Agents Python codebases — catalogs agents, tools, schemas, context providers, and orchestration patterns; traces data flow between them; returns a compact architecture summary with file:line references. Use PROACTIVELY when the user asks to "explore", "map", "understand", "analyze", "trace", or…
Agent
Reviews Atomic Agents Python code for framework-specific correctness — BaseIOSchema invariants, AtomicAgent/AgentConfig wiring, BaseTool generics, context-provider I/O hygiene, orchestration hazards, Instructor integration — using confidence-based filtering. Use PROACTIVELY after any change to atomic-agents code…
Agent
Verify that every claim in a research note is grounded in its linked raw sources.
Agent
Decide what to do with two notes flagged as near-duplicates — without knowing which is which.
Agent
Use this subagent to turn "optimize / speed up / improve this with CORAL" into a working CORAL task. Give it the code (or just a repo and a rough goal) and it acts immediately — explores the repo to infer the optimization target, scaffolds a .coralworkspace/, writes the grader, and iterates coral validate until the…
Agent Claude Code
Generates changelogs from git commit history and conversation context. Must be used immediately when the user asks to bump the version.
Agent Claude Code
name: integration-test-engineer description: Use this agent when you need to create, modify, or debug integration tests in the crates/integration-tests directory. This includes writing new test scenarios, updating existing tests, working with Docker Compose configurations for test environments, handling authentication…
Agent Claude Code
name: mcp-crate-engineer description: Use this agent when editing any files within the crates/mcp directory. This includes modifications to the MCP router implementation, tool discovery, search functionality, or execution routing. The agent should be automatically triggered for any file changes in this directory to…
Agent Claude Code
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent Claude Code
Compare two outputs WITHOUT knowing which skill produced them.
Agent Claude Code
Evaluate expectations against an execution transcript and outputs.
Agent
The claim agent of /auto. Runs the /auto-claim skill under two orthogonal axes — BEHAVIORSOURCE (given / given-validation / discovery) sets where the behavior comes from and whether it is validated; MECHANISM (given / discovery) sets who picks the mechanism method. discovery generates ranked, novelty-checked ideas…
Agent
The experiment agent of /auto. Wraps the /auto-experiment skill, which folds mechanism-family routing inline before implementing, code-reviewing, and deploying the experiment suite. Supports two-step invocation — first call returns candidate families for the orchestrator's mini-prompt, second call (with chosenfamily)…
Agent
The iteration agent of /auto. Runs the /auto-iteration-loop skill — an autonomous review loop that consumes /auto-verify's four-state output (PASS / FAIL / INCONCLUSIVE / ZEROELIGIBLEVARIANTS) plus the orthogonal deferred bucket and routes each claim to the right back-edge (① variant-only fix / ② baseline-script fix /…