Mint a tamper-evident, post-quantum-signed receipt for a consequential agent action (deploy, delete, pay, grant-access, model decision) so it can be verified later from the certificate alone.

by Alireza RezvaniExplore

AI agents & automation

Agent designer

Design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks.

by Alireza RezvaniExplore

AI agents & automation

Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived.

by Alireza RezvaniExplore

AI agents & automation

Agent launcher orchestrator

A user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker".

by Alireza RezvaniExplore

AI agents & automation

Agent memory

A project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from.

by Alireza RezvaniExplore

AI agents & automation

Agent protocol

Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, and response formats.

by Alireza RezvaniExplore

AI agents & automation

Agent workflow designer

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls.

by Alireza RezvaniExplore

AI agents & automation

Agenthub

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation.

by Alireza RezvaniExplore

AI agents & automation

Autoresearch agent

Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch.

by Alireza RezvaniExplore

AI agents & automation

C level agents

Founder-mode executive team. 13 cs-* C-suite agents (CFO, CMO, CRO, CPO, COO, CHRO, CISO, GC, CDO, CAIO, CCO, VPE, Chief of Staff) and 21 /cs:* slash commands for forcing-question office hours, multi-role boardroom deliberation, strategic sprint pipeline, and meta routing.

by Alireza RezvaniExplore

AI agents & automation

Chatgpt apps

Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI.

by OpenAIExplore

AI agents & automation

Claude api

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration.

by AnthropicExplore

AI agents & automation

Gh address comments

Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.

by OpenAIExplore

AI agents & automation

Grade iterate

Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader), read each verdict, decide the next move (sharpen / re-run / promote to schedule), and once a version passes, run held-back eval cases in parallel.

by Alireza RezvaniExplore

AI agents & automation

Interview

Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet.

by Alireza RezvaniExplore

AI agents & automation

Llm cost optimizer

Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'.

by Alireza RezvaniExplore

AI agents & automation

Llm wiki

Building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current.

by Alireza RezvaniExplore

AI agents & automation

Loop

Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly).

by Alireza RezvaniExplore

AI agents & automation

Loop library

Discover, find, compare, audit, repair, adapt, and design repeatable AI-agent loops with explicit triggers, actions, verification, stopping conditions, guardrails, and handoffs.

by Alireza RezvaniExplore

AI agents & automation

MCP server builder

Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers.

by Alireza RezvaniExplore

AI agents & automation

Migrate to codex

Migrate supported instruction files, skills, agents, and MCP config into Codex project and global files.

by OpenAIExplore

Source-linked, not execution-tested. Check the publisher’s setup instructions and permissions before use.