Implements real-time features using WebSockets with Socket.io, rooms, authentication, and reconnection handling. Use when users request "real-time updates", "WebSocket", "Socket.io", "live chat", or "push notifications".
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。
2,934 件 ・ 関連度順
概要と使いどころ
Implements real-time features using WebSockets with Socket.io, rooms, authentication, and reconnection handling. Use when users request "real-time updates", "WebSocket", "Socket.io", "live chat", or "push notifications".
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。
Designs reliable ETL and data synchronization jobs with incremental updates, idempotency guarantees, watermark tracking, error handling, and retry logic. Use for "ETL jobs", "data sync", "incremental sync", or "data 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。
Audits project dependencies for outdated packages, duplicates, heavy/problematic libraries, security vulnerabilities, and risky version combinations. Generates prioritized reports with security, performance, and maintainability insights, upgrade paths, and safe pinning recommendations. Use when users request dependency audits, package updates, security checks, or dependency optimization.
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。
Turns npm audit/Snyk results into prioritized patch plans with severity assessment, safe upgrade paths, breaking change analysis, and rollback strategies. Use for "dependency security", "vulnerability patching", "npm audit", or "security updates".
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。
User.update(req.body) // body has {'role': 'admin'} → privilege escalation
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 Jira issues, boards, sprints, and projects via the jira-cli. Search, create, update, and transition issues directly from the command line.
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 the user wants to plan a product launch, feature announcement, or release strategy. Also use when the user mentions 'launch,' 'Product Hunt,' 'feature release,' 'announcement,' 'go-to-market,' 'beta launch,' 'early access,' 'waitlist,' or 'product update.' This skill covers phased launches, channel strategy, and ongoing launch momentum.
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 productivity with FlowMind — goals, tasks (with subtasks), notes, people, and tags via REST API. Use when the user wants to create, list, update, or delete goals, tasks, notes, contacts, or tags; manage focus/priorities; track progress; or organize their productivity workspace through FlowMind.
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。
A comprehensive skill for using the Cursor CLI agent for various software engineering tasks (updated for 2026 features, includes tmux automation guide).
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。
General-purpose orchestration for Codex. Uses update_plan plus background PTY terminals to run parallel codex exec workers.
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。
Monitor blogs and RSS/Atom feeds for updates using the blogwatcher CLI.
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。
Full CRUD for Notion pages, databases, and blocks. Create, read, update, delete, search, and query.
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。
Build or update the BlueBubbles external channel plugin for Clawdbot (extension package, REST send/probe, webhook inbound).
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。
Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.
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。
Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.
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 LinkedIn outreach leads from Google Sheets — search by name, read live conversation threads, update status, and send contextual follow-up messages. Use after linkedin-dm to move leads through the pipeline (Sent → Replied → Call Scheduled → Demo Done → Closed).
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 and monitor local Pi-hole instance. Query FTL database for statistics (blocked ads, top clients) and control service via CLI. Use when user asks "how many ads blocked", "pihole status", or "update gravity".
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。
Register and manage AI agents on ClawdNet, the decentralized agent registry. Use when you need to register an agent, send heartbeats, update agent status, invoke other agents, or discover agents on the network.
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。
Captures executable contracts and coding conventions into .trellis/spec/ documents. Use when learning something valuable from debugging, implementing, or discussion that should be preserved for future sessions.
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。
Post-deal new client onboarding workflow. Creates client profile, runs baseline technical audit, generates project plan, sets up communication templates, and updates CRM.
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 feature manifests for code traceability. Use when creating new features, updating existing features, checking feature health, or exploring the feature-to-code relationship. Activates for manifest validation, feature creation, changelog updates, and traceability queries.
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。
Principled action selection for autonomous agents using Expected Free Energy (EFE) under the Active Inference framework. Each candidate action is scored as G(n) = w_prag * (-E[p_n] * damping) + w_epist * (-Var[p_n] * novelty(n)), where agent beliefs are maintained as per-node Beta distributions and updated via Bayesian observation. Selection is a softmax over -gamma * G, making exploration an automatic consequence of uncertainty rather than a hardcoded epsilon. Precision weights w_prag and w_epist self-adapt via surprise history, shifting the agent between exploitation and exploration regimes without any manually tuned schedule.
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。
Discipline an AI agent needs to work an issue/task tracker (Jira, Linear, GitHub Issues) as the shared source of truth: pull the right next item instead of inventing work, search before creating to avoid duplicates, write actionable items with checkable acceptance criteria, keep status transitions honest, and link work to items via branches/PRs/commits so progress is legible. Use when an agent picks up tracker work, files a new issue, updates status, or closes an item. NOT for authoring the PR itself (use agent-pr-authoring), roadmap-level planning and prioritization (use legible-roadmap-with-sidequests), or the mechanics of multiple agents coordinating on the same codebase (use multi-agent-coordination).
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。
Set up Vitest for a TypeScript project, or migrate from Jest. Use for faster test execution, native ESM/TypeScript support, and Jest-compatible API. Covers config, dependency swaps, and test file updates.
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。