Skills, prompts, AGENTS.md files and MCP servers that Codex reads. Skills are shared with Claude Code; the rest is Codex-native. 274,129 indexed, measured the same four ways as everything else here.
Search, inspect, and honestly resume local AI conversations through AI Conversation Hub, and initialize or maintain repository task contracts for substantial multi-session or multi-agent projects with explicit Git delivery ownership. Use when the user asks what another agent discussed, wants to continue a local…
Multi-agent orchestration engine for complex tasks. Use when you need to break a complex query into subtasks, run them in parallel with a DAG engine, and synthesize results. Triggers on: multi-agent, parallel execution, orchestrate, DAG, decompose task, dynamic workflow.
Installable Codex skill that turns Codex CLI into a long-term personal assistant with global memory, project memory, lightweight bootstrap, and safe incremental updates.
Generate boilerplate for wrapping Gemini CLI agents in ORGA governance. Use when building headless agents that run inside Symbiont's CliExecutor or when integrating Gemini CLI with Symbiont's trust stack.
Use when working in the harness-config repository and Codex needs to validate, preview, activate, or explain Harness config dogfooding with the local @harnessconfig/cli package.
When the agent is about to output long markdown (weekly reports, PR reviews, design comparisons, concept explainers, flowcharts, design systems and other deliverables meant for human reading), proactively evaluate whether to render it as HTML instead. Based on the 20 examples from ThariqS/html-effectiveness. Only…
Design evaluation contracts and test plans for agentic systems. Create deterministic tests, trajectory evals, quality dimensions, gold-set criteria, and CI gates before or after implementation. Use when asked for tests first, an eval plan, success criteria, non-deterministic testing, LLM-as-judge setup, or…
Use this skill when the user provides an arXiv ID (e.g., arXiv:2508.12856) and asks to read, analyze, or extract equations from the paper. Activates for literature review, equation extraction, paper understanding, and cross-referencing tasks in academic research contexts.
A general operating guide for software-engineering work by coding agents. It covers keeping the goal fixed, finding causes before patching, verifying results, and working concisely.
Automatically routes any user prompt to the best matching installed skill AND activates the right mode — ponytail-code for code tasks (lazy senior dev, YAGNI ladder, smallest diff) or caveman-chat for everything else (terse prose only). Zero manual invocation. Works with Claude, Codex, Cursor, OpenCode, Gemini CLI.
Build and maintain software architecture as code with LikeC4 DSL. Use when tasks mention architecture diagrams, C4/context/container/component views, system landscape, dependency/integration maps, or when the user wants architecture generated/evolved from code. Apply for creating new .c4/.likec4 models, updating…
Propose a reviewable multi-agent workflow as a blueprint — pick and name the pattern (map-reduce, pipeline, tournament, loop-until-dry, dag), emit its shape as an agentstack-blueprint JSON block, and WAIT for the user to approve / reject / edit before authoring and running it via agentstack more workflow run.
MeshLedger's dispute resolution agent. Evaluates disputes between customer and deliverer agents based on the job spec, deliverable, and evidence. Rules strictly on data — the spec is the contract.
Find your first SaaS users by searching Reddit, X, YouTube, LinkedIn, and Bluesky for people already describing the problem your product solves. Ranks every result by buying intent and drafts platform-tuned outreach. Backed by the Gorilla API at https://usegorilla.app.
MCP server "geond" as configured in geondongkim/geond-agent-protocol. Launched with uv --directory C:/path/to/geond-agent-protocol run geond-mcp. Needs 5 environment variables to run.
★not rated 3 1mo agoA
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originalApache-2.0
A recipe for building a model of a user's preferences from an AI agent's conversation logs. It organizes decisions and outcomes into files that can inform memory, rules, or system prompts.
Coordination strategies for AI agents working in parallel or hierarchically — 5 multi-agent patterns (Epstein, Hierarchy, Stigmergy, Consensus, Specialist). Bundled dependency of build-your-users-mind; its stage-2 classification uses Hierarchy + Stigmergy.
MCP server "heatpump-calculator" as configured in jiweiqi/heatpump-mcp-server. Runs locally from the . Python package. Needs 3 environment variables to run.
★not rated 3 11mo agoA
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originalMITarchived
MCP server "Salaah Times" as configured in yusufk/salaah-mcp. Launched with /Users/yusuf/.local/bin/mcp-proxy. Needs 1 environment variable to run.
★not rated 3 1y agoA
tokens not measured
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: