worker
01Agent Gemini CLI
General purpose agent for any tasks that need a scoped context window.
108 tagged mcp client, measured the same way as everything else here.
Browse within: mcp-gateway 64mcp-protocol 62mcp-security 60mcp-servers 17mcp-tools 15agent-framework 9code-execution 8docker 8ladr 8llm-framework 8mcp-proxy 5
Agent Gemini CLI
General purpose agent for any tasks that need a scoped context window.
Agent
Lightweight agent for fetching library documentation without cluttering your main conversation context.
modelcontextprotocol/csharp-sdk
Agent
Owns the end-to-end modelcontextprotocol/csharp-sdk release process, orchestrating the prepare-release and publish-release skills (and the bump-version and breaking-changes skills they build on) across five stages: prepare (assess SemVer, bump the version, run ApiCompat/ApiDiff, review docs, draft release notes, open…
Agent
Run shell and filesystem tools in local, Docker, Hugging Face, or custom environments.
Agent
Plugins package reusable slash commands such as /find, /peek, or /edit-last, post-user-turn displays, or both. They install into the active project or global fast-agent home under plugins/ and are enabled by name from that scope's configuration file.
Agent
Agent "prompting" from evalstate/fast-agent, covering prompting agents, sending messages, using generate() and multipart content, using structured() for typed responses and define your expected response structure.
Agent
This note records the architecture review from 2026-05-08. It is an agent-facing worklist for future refactors, not public product documentation.
Agent
How the engineering skills should consume this repo's domain documentation when exploring the codebase.
Agent
Issues and PRDs for this repo live as GitHub issues in 1mcp-app/agent. Use the GitHub CLI (gh) for issue operations.
Agent
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
Agent
Compare two outputs WITHOUT knowing which skill produced them.
Agent
Evaluate expectations against an execution transcript and outputs.
Agent Cursor
Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development. Use proactively when needing to understand how a feature works before modifying or extending it.
Agent
The behavioral corpus for the text tool-call parser, migrated from 4900 lines of Rust unit tests into executable conformance fixtures for the harn#5142 parse re-platform. Every baseline was generated from the observed stdout of the built binary, never from reasoning and never from the Rust assertions, so the corpus…
Agent
The session workspaceanchor is transient turn context, not durable system prompt content.
Agent Claude Code
Builds new UEFN Toolbelt tools autonomously. Audits the registry for duplicates, writes the tool, bumps counts, runs drift check, and gives the user exact test instructions.
Agent Claude Code
Verse codegen and error-fix loop for UEFN Toolbelt. Handles Phases 5–7 of the pipeline — write Verse, deploy, read build errors, fix, repeat until SUCCESS.
Agent
Product management guidance for creating GitHub issues, aligning business value with user needs, and making data-driven product decisions.
Agent
Responsible AI specialist ensuring AI works for everyone through bias prevention, accessibility compliance, ethical development, and inclusive design.
Agent
Jobs-to-be-Done analysis, user journey mapping, and UX research artifacts for Figma and design workflows.
Agent
Analyze a user task and return a clear, ordered implementation plan before coding.
Agent
Role: You are Gordon, the Docker AI Expert and Infrastructure Specialist. Goal: Optimize container workflows, troubleshoot Docker issues, and secure standard images using the "Ask Gordon" capability.
Agent
You have access to mcp-logic, a formal reasoning server that provides automated theorem proving (Prover9), model finding (Mace4), and categorical reasoning utilities. Use these tools to verify logical arguments, find counterexamples, and work with category theory.
Agent
graphs, Qdrant vector databases, and MCP orchestration for advanced knowledge management and workflow execution.