fleet-core
claudeShared rules for the fleet plugins. Claude Code installs it with them; in Codex, add it yourself.
1 skill
Run parallel agents in herdr panes, each on its own clausona account or API model.
Plugin herdr-fleet from marketplace clausona in larcane97/clausona. Commands read from the repo's manifest — yesterday.
herdr-fleetRun several coding agents in parallel in herdr panes, each under its own clausona profile (another Claude Code or Codex account, or an API model such as GLM or DeepSeek), then watch them, check their work and retire them. Use when the user works in herdr and wants work spread across accounts or mode
Shared rules for the fleet plugins. Claude Code installs it with them; in Codex, add it yourself.
1 skill
Run parallel agents in Orca worktrees, each on its own clausona account or API model.
1 skill
Run Claude Code or Codex on whichever clausona account has quota left.
1 skill
Run parallel agents in Superset, each on its own clausona account or API model.
1 skill
Run parallel agents in tmux windows, each on its own clausona account or API model.
1 skill
Old name for superset-fleet; installs it.
Personalized AWS guidance built on patterns from 350,000+ startups. Get architecture, cost, and security recommendations matched to your stage, from day-one account setup to production-ready infrastructure. Migrate to AWS from Azure, GCP, or Heroku with resource discovery, cost estimates, and generated Terraform. Move OpenAI, Azure OpenAI, and Gemini code to Amazon Bedrock, and plan and prototype AI agents on AgentCore and other AWS runtimes. Includes AWS Activate credits eligibility, 60+ exclusive startup offers, and multi-account, multi-region support. Built by AWS Startup Solutions Architects.
13 skills · 1 command · 7 agents · 1 MCP server
If you want to go fast, go deep first. pstack helps you write less, but higher quality code. rigorous agent workflows you can parallelize with confidence. Original pstack by Lauren Tan (poteto).
68 skills · 4 agents · hooks
Multi-agent orchestration grounded in an LLM wiki. /dev-loop:orchestrate splits one goal into a dependency graph of parallel Claude Code sessions, each in its own worktree, and supervises them natively on Orca (a tracked Task + Dispatch per phase, pushed worker_done / question / escalation events instead of polling, stall detection; raw tmux fallback). Every plan decision must cite a page in a bundled best-practice wiki of 400+ pages across 10 domains, checked by machine gates and a fresh-context plan reviewer. Insights from your sessions are queued and turned into reviewed wiki PRs when you run /dev-loop:knowledge-flush (automatic flushing is opt-in and never bypasses permission checks).
9 skills · 11 agents · 1 MCP server · hooks
Multi-path parallel product analysis with cross-model test-time compute scaling. Spawns parallel agents (Claude Code + Codex CLI) for multi-perspective exploration, then synthesizes findings into actionable optimization plans. Supports self-audit, UX audit, API audit, architecture review, and competitive benchmarking via competitors-analysis skill
1 skill
Multi-account Google Calendar integration with parallel querying and conflict detection
1 skill
Agents publish intent and claim semantic scopes before writing code, so two plans that cannot both be true collide in a queryable store instead of in your merge. Local-first, deterministic, Apache-2.0. Requires the foremerge binary on PATH and a repository that has run foremerge init.
1 skill · 1 MCP server
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