Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, latest/current/default-model prompting guidance, or model upgrade and prompt-upgrade guidance; use…
A live, growing registry of agent skills published by Anthropic, OpenAI, Vercel, Microsoft, Cloudflare, Stripe, HashiCorp, Supabase, and many others. Search it before starting any non-trivial task, fetch the top result, follow it instead of going freehand. After using a skill, report back so the registry ranks it…
Rigorously evaluate an Agent Skill end-to-end across ANY coding-agent CLI — verify its scripts emit the documented numbers (deterministic checks), test whether its description triggers on the right prompts, and measure whether an agent following the SKILL.md beats a no-skill baseline (with/without pass-rate delta…
An open-source security gateway that sits between an AI application and an LLM service. It can remove or clean sensitive information from requests and responses before they are passed through.
This skill should be used when the user wants to build an "MCP app", add "interactive UI" or "widgets" to an MCP server, "render components in chat", build "MCP UI resources", make a tool that shows a "form", "picker", "dashboard" or "confirmation dialog" inline in the conversation, or mentions "apps SDK" in the…
IOTA blockchain MCP server providing wallet management with human-in-the-loop signing, Move smart contract build/test/publish, and on-chain queries via JSON-RPC and GraphQL. Use when interacting with IOTA network from AI coding agents, managing IOTA wallets, building or publishing Move packages, querying on-chain…
Validates, parses, and sanitizes AI-generated outputs before they reach end users or downstream systems. Structured output enforcement, schema validation, and fallback handling.
Build and navigate DSP (Data Structure Protocol) — graph-based long-term structural memory of codebases for LLM agents. Stores entities (modules, functions), their dependencies (imports), public API (shared/exports), and reasons for every connection. Use when: (1) project has a .dsp/ directory, (2) user asks to set up…
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Generates, aggregates, and extends modular skill-trees with hierarchical routing. Supports three modes — (1) convert a monolithic skill into a tree with ROOT.md/ROUTER.md/SKILL.md, (2) aggregate multiple skills into a unified cross-domain tree with shared leaves and disambiguation, (3) incrementally update an existing…
A guide for coordinating independent AI coding agents such as Claude Code, OpenCode, or Hermes. It explains how to register each agent, check which ones are running, choose one for a task, and record stable information about how to use it.
Every AI output has structural blind spots determined by the generation process itself. Future Tokens operations are named, composable instruments that target specific blind spots. They surface new information on every pass because expanding the output changes the blind spot geometry.
Opt-in recreation of the Bun + TypeScript framework used to build Vapi's landing-page voice agents from a ROUGHDRAFT.md spec, including a scenario registry, language stacks, prompt composer, assistant builder, and idempotent bootstrap script. Use only when the user explicitly invokes vapi-bootstrap-framework or…
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge…
Use whenever the user says "use TriSmart", "tri smart", "trip smart", "use Dual", "dual smart", "use ModelMesh", "model mesh", or "Brock", or asks for an ADR, DDD model, security design, migration, production architecture, or another high-complexity decision. TriSmart verifies native Claude Code, Codex, and Grok…
Run an Agent-Native Architecture Audit using Thoughtbox Hub for multi-agent coordination. Spawns 3 auditor agents and 1 synthesizer that collaborate through structured channels, cross-reference findings, and build consensus on scores.
Self-scheduling execution layer for autonomous task orchestration. Use for queuing tasks, chaining pipeline executions, scheduling recurring work, and 24/7 autonomous operation via Agent Ping webhooks.
Close captured agent-improvement work: triage fleet learnings, select a bounded evidence-backed batch, implement and live-verify fixes, and record leader decisions. Use for 'learn loop', 'fix the learnings', 'process the backlog', or when asked what recurring agent/tool friction to improve.
Manage NAP workspaces, prompts, templates, credentials, service tokens, agent files, providers, tags, shares, schedules via REST. Trigger when the user wants to script or automate NAP outside the UI — e.g. "create a workspace", "rotate a token", "bulk-upload prompts", "list agent files in workspace X", CI integration…
Run workflow-as-code jobs in Codex for large fanout, release diff review, security review, bug sweeps, adversarial verification, or multi-agent orchestration.
Cognitive superposition synthesizing Riehl (∞-categories), Sutskever (compression), Schmidhuber (curiosity-driven), and Bengio (GFlowNets) into unified ASI framework with quantum-inspired measurement collapse.
Collaboration rooms for AI agents — join rooms, send messages, coordinate with other agents in real time.
★not rated 63 2mo agoA23 tokens
AGPL-3.0
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: