「connect」の検索結果

CatSharp Scale Galois Connections between agent-o-rama and Plurigrid ACT via Mazzola's categorical music theory

日本語の概要は準備中です。原文の説明を表示しています。

Bridge layer connecting AlgebraicJulia/Catlab.jl to plurigrid/asi. Wires ACSets (attributed C-sets), wiring diagrams, decorated cospans, and the AlgebraicJulia ecosystem (AlgebraicDynamics, AlgebraicPetri, AlgebraicRewriting, Decapodes) into the ASI skill graph. ACSets generalize relational databases with categorical semantics; every diagram, network, and model in the ecosystem is an ACSet.

日本語の概要は準備中です。原文の説明を表示しています。

Stanford FDCI research bridge connecting Dan Boneh's cryptographic primitives (ZK proofs, BLS signatures, threshold cryptography) with Tim Roughgarden's mechanism design (TFM, MEV mitigation, welfare maximization).

日本語の概要は準備中です。原文の説明を表示しています。

Interleave layer bridging the BigQuery cluster to plurigrid/asi. Routes BigQuery queries through asi's DuckDB stack, wires patent search into asi knowledge graph, connects Looker Studio dashboards to CatColab, and feeds BigQuery ML into the lolita physics emulation pipeline.

日本語の概要は準備中です。原文の説明を表示しています。

Bridge layer connecting the emerging agentic coordination protocol ecosystem (MCP, A2A, ANP, AGNTCY, AITP, LMOS, AAIF) to the plurigrid/asi skill graph. Maps protocol-level identity mechanisms (W3C DID, OAuth 2.1, IPSIE, Entra Agent ID, Agent Cards, passport.gay) into GF(3)-classified skills. The central unsolved problem — no unified identity across MCP+A2A+A2UI — is directly addressed by the bisimulation oracle composition.

日本語の概要は準備中です。原文の説明を表示しています。

Bridge layer connecting the Agentic AI Foundation (AAIF) governance structure — Linux Foundation stewardship of MCP, goose, AGENTS.md — to the plurigrid/asi skill graph. Formalizes AAIF-compatible skill registration, IPSIE identity profiles, and the cross-protocol interoperability surface. Maps the AAIF platinum member ecosystem (AWS, Anthropic, Block, Bloomberg, Cloudflare, Google, Microsoft, OpenAI) to specific ASI skill integration points.

日本語の概要は準備中です。原文の説明を表示しています。

Bridge active inference theory with robot control using K-Scale's JAX/MuJoCo stack. Use when connecting predictive coding to locomotion policies, mapping KL divergence minimization to RL training, applying mean field approximation to robotics state estimation, or implementing sim2real as inference about future observations.

日本語の概要は準備中です。原文の説明を表示しています。

Puts a web page on the internet for free, with no terminal and no paid plan — a folder of HTML/CSS/JS, or a page Claude just built. Checks the page for the things that silently break it once it's live (wrong filename, broken image paths, capitalisation that works on your computer and 404s on the host, API keys left in the JavaScript), then walks through publishing it on Cloudflare Pages, Netlify, GitHub Pages or Render, and connecting a custom domain. Use when the user says "publish my website", "put my page online", "deploy my HTML", "host my site for free", "sube mi página web", "publicar mi página", "quiero subir mi página a internet", "dónde subo mi HTML", "hosting gratis", "free hosting", "custom domain", "dominio propio", or has a web page and doesn't know where to put it. For a web app, an API or anything with a backend, use /all-deploy instead.

日本語の概要は準備中です。原文の説明を表示しています。

Drafts or audits a scientific paper’s introduction and framing — the real-world "why", an evidence audit, the funnel from theory to a falsifiable if-then with a named estimand, bridges across experiments, and a contribution list matched to the design. Use when the user asks to write, restructure, or critique an introduction, motivate or frame a paper, repair a gap-in-the-literature opening, sharpen or calibrate a contribution claim, or connect experiments into one argument. Sentence-level flow and wording are out of scope.

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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 DSP or bootstrap project structure, (3) creating/modifying/deleting code files in a DSP-tracked project, (4) navigating project structure, understanding dependencies, or finding modules, (5) user mentions DSP, dsp-cli, .dsp, or structure mapping.

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When calling LLM APIs from Python code. When connecting to llamafile or local LLM servers. When switching between OpenAI/Anthropic/local providers. When implementing retry/fallback logic for LLM calls. When code imports litellm or uses completion() patterns.

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Verify that changed components are actually connected into the intended end-to-end system flow. Use when checking imports/exports, registrations, data/control flow, configuration consumption, call paths, and boundary compatibility after implementation.

日本語の概要は準備中です。原文の説明を表示しています。

When setting up local LLM inference without cloud APIs. When running GGUF models locally. When needing OpenAI-compatible API from a local model. When building offline/air-gapped AI tools. When troubleshooting local LLM server connections.

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Gives the dh CLI command and the directory of dh's scripts, both resolved from this skill's own directory. Use before running a dh plan, backlog, artifact or dispatch command, or a script from dh's scripts directory, and when an mcp__plugin_dh_* server failed to connect.

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A diagnostic tool for OpenClaw agents -- checks skill registry connectivity, AGENTS.md setup, config file validity, and installed skill health. Use when your setup seems broken, skills aren't loading, or you want to audit your agent's configuration.

日本語の概要は準備中です。原文の説明を表示しています。

Manage Alibaba Cloud VPC networking using the @alicloud/vpc20160428 TypeScript SDK. Use when working with virtual private clouds, VSwitches, route tables, EIPs, NAT gateways, VPN gateways, Express Connect, BGP routing, network ACLs, flow logs, traffic mirroring, IPv6, HAVIP, gateway endpoints, and resource tagging. Covers all 396 APIs of the VPC 20160428 version.

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This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

日本語の概要は準備中です。原文の説明を表示しています。

Manage Alibaba Cloud Redis (Tair / R-KVStore) using the @alicloud/r-kvstore20150101 TypeScript SDK. Use when working with Redis or Tair instances, accounts, backups, security (whitelist/SSL/TDE/audit), parameters, monitoring, cluster scaling, direct connection, Tair Custom instances, and resource tagging. Covers all 157 APIs of the R-KVStore 20150101 version.

日本語の概要は準備中です。原文の説明を表示しています。

JetBrains Exposed ORM patterns including DSL queries, DAO pattern, transactions, HikariCP connection pooling, Flyway migrations, and repository pattern.

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Investigate an alert, page, or production symptom in an incident channel or a team's oncall / monitoring channel, and report findings a human can verify. Ordinary conversation and chatter are not alerts; leave those alone. Use when an alert or page lands, when error rate, latency or saturation is up, when someone asks "why is X broken", "investigate", "what changed", "root cause this", pastes a monitor, dashboard, trace or error-tracker link, or reports production trouble; also by default when an alert lands in a covered channel unasked. Feed-level asks land here too ("which alerts matter", "triage today's alerts"), plus the scheduled alert-review routine and the ticket path ("customer X can't check out"). Runs a fast first pass posted as a short interim update with a TL;DR, every finding carrying the query or link to verify it, then proposes the fix and — with connector access and confirmation — carries it out, never unattended. Afterwards `incident-postmortem` writes it up.

日本語の概要は準備中です。原文の説明を表示しています。

Reference guide for configuring @Claude agents — agents, agent scopes, identity profiles, presets, connections, rules, GitHub repositories, and custom instructions. Explains the inheritance model and configuration best practices.

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Expert FinOps guidance for cloud, AI, and SaaS technology spend. Covers AI cost management, agentic FinOps, GenAI capacity planning, self-hosted vs managed inference, Anthropic billing, open-weight vendor APIs (DeepSeek, Qwen, Kimi, GLM), AWS (EC2, Bedrock, SageMaker, Savings Plans, CUR), Azure (reservations, AHB, OpenAI PTUs), GCP (Vertex AI, BigQuery), OCI, on-prem and hybrid, Kubernetes cost allocation, data platforms (Databricks, Fabric F-SKUs, Snowflake), tagging governance, SaaS management (SAM, shadow IT), AI coding tools (Cursor, Claude Code, Copilot, Codex), ITAM, allocation, showback, chargeback, anomaly management, KPIs and benchmarking, forecasting, waste detection playbooks, workload onboarding and M&A, and GreenOps (cloud carbon, CSRD). Use for any technology cost or waste question in your estate - expiring commitments or RIs, NAT gateway bills, idle VMs, snapshot sprawl - and for commitment sizing, rightsizing, or connecting spend to business value. Built by OptimNow.

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Create or revise repo-local skills connected by actionable routing statements from AGENTS.md through broad and increasingly specialized skills. Use when documenting AuthCrunch engineering knowledge, adding or routing a skill, reorganizing the skill hierarchy, or auditing that every skill is reachable and useful to contributors.

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Set up the Feishu channel — save the bot credentials and check connection status. Use when the user pastes Feishu app credentials, asks to configure Feishu, or wants to check channel status.

日本語の概要は準備中です。原文の説明を表示しています。