compute-ladder
Compute routing with guarded effort requests, a measured cheap-model worker and reports of observed main-agent and subagent effort; runtime escalation must be verified.
Lot de plugins · par xiaolai
Aperçu
compute-ladder est un lot de plugins pour les outils de code IA publié par xiaolai. Places de marché que nous lisons et qui le référencent : 1 (Community GitHub marketplaces). Nous l'avons vu pour la première fois le 2026-11-11 et n'avons enregistré aucun changement depuis. Selon notre passage sur les places de marché du 2026-11-14.
Ce qu'il demande
- S'installe comme lot de plugins
- Hooks : 5
Ce qu'il déclare, demande et exécute, en détail
N’installez que des plugins de développeurs en qui vous avez confiance. Nous reprenons ce que publient les places de marché et ne testons pas les plugins.
Fonctionne avec
- Claude Code
D'après les marketplaces qui le listent et le transport MCP qu'il déclare, tels que chaque client les documente. Nous ne testons pas les plugins.
Connecter
Commandes et configurations construites uniquement à partir de ce que déclarent ses places de marché. Nous ne les exécutons pas pour vous et ne testons pas les plugins.
En plugin Claude Code
Construit à partir de ce que déclare Community GitHub marketplaces.
/plugin marketplace add xiaolai/claude-plugin-marketplace
/plugin install compute-ladder@xiaolaiOù il est publié
| Place de marché | Statut | Version | Chiffres | Vérifié | Vu pour la première fois |
|---|---|---|---|---|---|
| Place de marché communautaire xiaolai/claude-plugin-marketplace (Ouvrir la source sur GitHub) | Référencé | 0.2.0 | Forks (GitHub): 0 Étoiles (GitHub): 1 |
Non marqué |
Chaque chiffre est celui de la place de marché et n'est jamais additionné entre places de marché. Une place de marché qui ne publie pas de chiffre n'en affiche aucun : pas de nombre ne veut pas dire zéro.
Listé dans une place de marché communautaire
| Place de marché | Dépôt | Étoiles (GitHub) |
|---|---|---|
| xiaolai | xiaolai/claude-plugin-marketplace | 88 |
Quelles places de marché nous lisons et comment nous les vérifions
Ce que contient le lot
Tel que publié sur Community GitHub marketplaces.
Skills: 3
escalate-maxescalate-xhighreport
Agents: 1
low-worker
Hooks: 5
PreToolUseSessionStartStopSubagentStopUserPromptSubmit
Ce qui a changé
- Est devenu un produit que nous suivons
- Community GitHub marketplaces: apparu
Plugins similaires
Produits dont les noms, descriptions, outils et skills sont les plus proches de celui-ci par le sens, sur toutes les places de marché que nous lisons. La proximité n'est classée qu'à l'intérieur de cette liste.
-
Multi-harness planning, execution, and review through the local Claudexor installation.
-
Multi-agent orchestration for lionagi: plan DAG workflows, author playbooks, run multi-play shows with quality gates.
-
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to agentic-flow@3.4.0 (ReasoningBank…
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
QualeQuest — AI Agent Governance Platform
Multi-agent governance: task orchestration, compliance, decision validation, and ML predictions.
-
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring.
-
Strale agent skills with remote MCP connector for Strale platform integration.
-
Skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows
-
Let your AI agents claim a task, work inside it and report back on your LatticeRun task tree.
-
Routes each request to one of 27 specialist agent roles, which load only the skills the work needs and verify what they claim.
Plugins similaires par place de marché
La même question posée à chaque place de marché séparément : y a-t-il là un équivalent de ce plugin ?
Référencé sur Claude Code: claude-plugins-community (5)
-
Strale agent skills with remote MCP connector for Strale platform integration.
-
Teach Claude to orchestrate microservices and business processes with Conductor. This skill adds full workflow lifecycle management: define workflows with any task type (HTTP…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Strict 3-stage handoff workflow for coding agents — plan → execute → verify — with disk-backed state for cross-context handoff.
-
AIWFF Claude Plugin Fleet-aware worker dispatch helpers for Claude Code.
Référencé sur Claude Code: claude-plugins-official (5)
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Full-lifecycle incident management: deploy safety, incident response, on-call management, and retrospectives.
-
Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple markdown files.
-
Help Claude Code champions run hackathons and office hours, find patterns worth sharing, help teammates climb the steps of AI adoption, and write a shareable AI maturity report.
-
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom…
Référencé sur Claude: knowledge-work-plugins (5)
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Work with incident.io from Claude: respond to and investigate incidents, check on-call schedules and escalations, and author the runbooks, skills and architecture docs that…
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
-
Triage tickets, draft responses, escalate issues, and build your knowledge base. Research customer context and turn resolved issues into self-service content.
Référencé sur Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
-
CrowdStrike Falcon Foundry development skills for building cybersecurity applications on the Falcon platform. Includes UI development, collections, functions, workflows, API…
-
CrowdStrike Falcon Fusion skills for authoring, deploying, and executing Fusion workflows. Includes live action discovery, YAML authoring with schema validation, workflow import…
Référencé sur Community GitHub marketplaces (5)
-
Multi-harness planning, execution, and review through the local Claudexor installation.
-
Multi-agent orchestration for lionagi: plan DAG workflows, author playbooks, run multi-play shows with quality gates.
-
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to agentic-flow@3.4.0 (ReasoningBank…
-
Design multi-agent AI workflows with clear boundaries, handoffs, and monitoring.
-
Skills and commands for prompt engineering, MCP servers, subagents, hooks, and productivity workflows
Référencé sur Copilot CLI: github/awesome-copilot (5)
-
Three-agent workflow for orchestrated software delivery with an orchestrator plus implementation and QA subagents.
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
See a live map of the Copilot agents on your computer, their sub-agents, their commands, and where their data goes.
-
Premium planning, thrifty implementation
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
Référencé sur Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
Référencé sur Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Create and run persistent agent runtimes, publish ports, and manage egress, checkpoints, and images in Runta.
-
Review Trainerize clients and check-ins, and update macros, messages, and programs.
-
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.
-
Let Grok Bot reach MCP servers on your private Tailscale network: connect your own tailnet, or your team's company tailnets turned on by a team admin, with each member using their…
Référencé sur Docker MCP Catalog (5)
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Give your AI agents trusted access to the full Postman platform.
-
A unified MCP proxy that aggregates multiple MCP servers into one interface, enabling seamless tool discovery and management across all your AI interactions. Manage all your MCP…
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
Manage Zscaler Zero Trust Exchange via 400+ tools — ZPA, ZIA, ZDX, ZCC, ZTW, ZMS, EASM, and more.
Référencé sur Official MCP Registry (5)
-
QualeQuest — AI Agent Governance Platform
Multi-agent governance: task orchestration, compliance, decision validation, and ML predictions.
-
Let your AI agents claim a task, work inside it and report back on your LatticeRun task tree.
-
jev-use io.github.shitianfang/jev-use
Typed yes/no, pick-one and score judgments from Jev in one batched call; typed escalation back.
-
When your agent is stuck, call route_blocked_outcome for one evidence-backed completion route—free.
-
AI work orchestration for plans, tasks, teams, and coding-agent dispatch.
Référencé sur PyPI (MCP servers) (5)
-
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
-
MCP server for HyperRoute — routes each task to the best external tool and runs it for your coordinator agent.
-
Local-first FinOps copilot: ask AWS, Azure, GCP, Kubernetes and SaaS cost questions in your editor.
-
Model Context Protocol server for Roost — credit underwriting and per-spend decisioning for AI agents.
-
agent-harnesses io.github.RyanAlberts/agent-harnesses
Agent-harness picks, decision guides, setup templates, and skills; live GitHub/HN discovery.
Référencé sur npm registry (MCP servers) (5)
-
agentic-flow (external: maintained in ruvnet/agentic-flow, pinned to commit d19737b, plugin 3.4.0): the agentic-flow MCP server pinned to agentic-flow@3.4.0 (ReasoningBank…
-
mcp-server io.github.metrxbots/mcp-server
Track AI agent costs, detect waste, optimize models, and prove ROI. 23 MCP tools across 10 domains.
-
Step-by-step workflow enforcement for AI agents via MCP
-
Hire human data labelers, RLHF annotators, and evaluators from your coding agent.
-
MCP server for the Tech-Lead Stack: agent skills and workflows for tech leads, PMs and HR.
Trouvés par le sens, et non par un code ou un dépôt commun : les plugins similaires restent des produits distincts, et ceci n'est ni un avis ni une recommandation.
Vous voulez cette marque pour votre plugin dans notre catalogue ?
Prouvez que vous le maintenez avec un fichier dans son dépôt, un fichier sur votre domaine ou un enregistrement DNS, et vous pourrez afficher cette marque sur la fiche, avec des bannières à jour pour votre site et votre README. Comment se passe la vérification
Vous recevez aussi des alertes quand une marketplace le publie, le retire, change sa marque vérifiée ou ce qu'il demande, et son endpoint distant est surveillé comme un service web.
Ajoutez une bannière dynamique à votre README ou à votre site
Affichez les données à jour du catalogue sur votre site ou dans votre README GitHub. Choisissez une bannière dynamique ou un badge compact.
Voir des exemples et créer le vôtre
Données issues de Community GitHub marketplaces. Les chiffres proviennent de nos propres passages réguliers sur les places de marché, dernière lecture le . Nous ne publions aucune coordonnée des éditeurs de plugins.