Claude Code plugins
8 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
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8 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
Showing 8 plugins that match these filters. Clear filters
Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceAn auditable, on-disk PDLC state machine for AI software engineering: a staged workflow (PRD → design → TDD → implement → review → ship → retro) with hard contracts + objective checks from real exit codes, so an autonomous loop can drive it to convergence unattended (fail-stop / budget guards) — tool-agnostic, richest in Claude Code, plus Codex via adapters.
workflowProve a result is trustworthy: stability, convergence, manufactured solutions, and pre/post-flight validation.
Multi-source drug-target due-diligence — turn a ranked gene list (e.g. scRNA-seq DE output) into a per-gene dossier across UniProt, OpenTargets, and PubMed, plus a local cross-lineage DE scan, then re-rank by a configurable composite score (cross-lineage convergence + druggability + disease genetics + tractability + novelty). Disease-agnostic: configurable focus disease and cell-context queries.
Run a structured multi-agent debate by spawning a panel of expert agents on any question, with convergence-aware iteration and typed synthesis output via the `agent-council` CLI. Use when a decision has genuine tradeoffs, high stakes, or hidden assumptions worth adversarial collaboration, or when confidence diagnostics matter more than a single recommendation. Compatible with any AI agent harness that supports agentskills.io skills (Claude Code, Cursor, Hermes Agent, OpenHands, etc.). Do not use for simple factual lookups, tasks with a clear correct answer, routine single-perspective work, or code execution and tool orchestration beyond debate.
Use this skill to shape product or engineering work before committing time to it: set appetites instead of estimates, narrow raw ideas into bounded problems, sketch solutions at the right level of abstraction, de-risk rabbit holes, write pitches, bet with capped downside (circuit breaker), and govern builds with discovered scopes and scope hammering. Adapted from Basecamp's Shape Up and extended for human+AI-agent teams. Use when a raw idea, feature request, or "redesign X" grab-bag needs to become a bounded project before anyone builds; when planning how much work an idea is worth; or when delegated agent builds need budgets, kill criteria, and non-convergence rules. Do not use for discovering whether a problem is real (use product-discovery), for portfolio-level sequencing across quarters (product-roadmapping-and-portfolio), for formal specification after the bet is placed (spec-driven-development), or for task-level prioritization frameworks like RICE (product-methodology).
Author durable loop-graph runs for code convergence, requirement delivery, or evidence-led solution selection.
Harvester HCI operator suite — controlled, community-edition Harvester upgrades off an EOL line up to latest stable: the no-skip minor ladder (1.5→1.6→1.7→1.8 carrying embedded RKE2 / KubeVirt / Longhorn / SLE-Micro together), external-Rancher + Harvester UI-extension pairing and ordering, air-gapped version detection, controlling the node-by-node upgrade flow (serial interlock, the v1.7+ pause-map, and the PodDisruptionBudget + VMI-readinessProbe native gate for 1.5/1.6), keeping VM-hosted self-managed RKE2 control planes quorate via anti-affinity spread and live-migration-vs-clean-shutdown tradeoffs (busy-etcd non-convergence, auto-converge, dedicated migration network), per-hop breaking changes (wicked→NetworkManager, Intel NIC rename, DHCP churn), the enforced pre-flight health gates, and the no-downgrade backup/rollback reality. Companion to the k8s suite's k8s-components-checker (Harvester↔Rancher↔RKE2 pairing registry) and rancher-upgrade (the external Rancher's own chain).
virtualizationHumanize AI-written text — write or rewrite prose so it doesn't read as AI. Light/heavy depth, editable house-rules overlay, deep detection engine, iterate-to-convergence.
productivity