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概要と使いどころ
Create a session handoff for another agent, or resume, find, and read any user-selected continuity source. Use when work or conversation must continue without access to the current session history.
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。
Maintain the slopus/happy open source project. Triage issues, draft closing comments, find duplicates, check if bugs are fixed on main, and engage with community contributors. NEVER posts comments or closes issues without showing exact text and getting approval first.
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。
Warn when user-facing UI changes drift from DESIGN.md. Advisory only; findings never gate Warden clearance.
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 user saw internal_error, "Unexpected server error", a 500, or an opaque failure in a shipped OpenWork build. Find the cause from local logs and Sentry, name the regressing PR, file the issue, and reply where it was reported.
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。
Find the questions people ask about a market, how ChatGPT answers them, and which sites get cited in the answers. Use when the user asks what people ask AI about their niche, wants prompt ideas, or wants to know where their brand is missing before choosing prompts to track. Research only; it never saves tracking or starts answer collection.
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。
Find link prospects, discover contact paths, and draft outreach from SERPs and backlink signals.
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。
Implement an accepted NemoClaw issue or repair a classified PR finding, with focused validation. Use for requested code or test changes.
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。
Find open issues that a NemoClaw PR may also fix or conflict with. Use when related-issue analysis is requested.
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。
Find official NemoClaw documentation for installation, configuration, operation, or troubleshooting. Also handles requested docs MCP setup.
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。
Find the repository skill for a NemoClaw task or browse the skill catalog. Use when skill selection needs help.
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。
Query the pre-built code-review-graph knowledge graph (Tree-sitter, whole monorepo) instead of walking call chains with Grep+Read – 2-6x cheaper, and it catches dynamic dispatch that grep misses. Use for ANY task that spans multiple files, even when the user never mentions a graph or asks for it - fixing or tracing a bug ("fix this bug", "why does X happen", "trace this"), exploring unfamiliar code ("how does X work", "who calls X", "what imports Y", "where is X used or handled"), planning or doing a refactor ("rename X", "is it safe to change or remove X", "what would break", "blast radius", "find dead code"), or reviewing changes ("review this PR", "review this branch or diff"). When you are about to Grep for a symbol's callers, callees, or importers, use this skill.
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。
Search what was said in existing screenpipe, Codex, Claude, Cursor, and Gemini CLI chats, then continue or steer one exact chat when the user explicitly asks. Use for requests about finding another agent conversation, recalling what an agent said, or sending work to one.
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。
Find a past decision, document, or conversation in Screenpipe with source links.
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。
Find explicit promises and deadlines in selected work history and reconcile their latest 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。
Google platform decision and setup guidance, loaded on demand from Google's skill catalog. Use when a developer is choosing or setting up part of their stack, such as where to run a service, a database, storage, messaging, authentication, analytics, ads, or AI model serving, and a Google product is a reasonable candidate - whether or not a vendor is named - or when a request names a Google product or API. Brings in the matching Google skill so the answer can weigh Google options, their trade-offs, and when they are not the right fit. Skip when the stack is already settled on another provider and no Google product is named, or the task involves no platform choice.
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。
Discovers golden base images for creating GKE custom node images based on technical specifications or context clues. Use when finding the golden base image for custom GKE node creation, mapping cluster configuration parameters (GKE version, OS, architecture, accelerators, gVisor, cgroups) to image names, or querying GKE base image maps. Don't use for general GKE cluster creation (use gke-cluster-creation) or standard node pool management (use gke-basics).
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。
Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when setting up KSA/GSA bindings (`roles/iam.workloadIdentityUser`, `iam.gke.io/gcp-service-account`) or when a Pod cannot authenticate to Google Cloud APIs. Don't use for in-cluster Kubernetes RBAC errors (API-server authorization), general workload crashes (use gke-workload-troubleshooting), or Pod Security Standards and NetworkPolicies (use gke-workload-security).
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。
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
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。
Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
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。
Measure mesh files against Design for Additive Manufacturing (DfAM) rules and report printability findings per process (FDM, SLS, SLA/DLP, metal PBF, MJF). Use when the user asks whether a part is printable, wants overhang/wall-thickness/support analysis of an `.stl`, `.obj`, `.ply`, or `.3mf` mesh, wants a build-orientation recommendation, or wants DfAM redesign guidance before slicing with `$gcode` or regenerating geometry with `$cad`.
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。
Find, evaluate, and download common purchasable CAD parts from step.parts, including named off-the-shelf actuators, servos, motors, electronics boards, connectors, screws, bolts, nuts, washers, bearings, standoffs, and other catalog components. Use when Codex needs to search the hosted step.parts catalog before creating simplified placeholder geometry, resolve fuzzy part names, standards, aliases, or dimensions, choose a matching part, fetch a canonical .step file, verify checksums, or use the step.parts API/OpenAPI/catalog endpoints for standard part discovery.
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。
Search and reconstruct the user's past on-screen activity (screenshots, OCR text, app and domain usage) with the kortix-capture CLI. Use whenever the user references something they personally did, saw, or read — "what did I do", "find that thing I saw", "how much time did I spend on X", "summarize my research on Y" — or asks to be shown / taken back to a moment.
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。
Whole-repo audit for over-engineering. Like ponytail-review, but scans the entire codebase instead of a diff: a ranked list of what to delete, simplify, or replace with stdlib/native equivalents. Use when the user says "audit this codebase", "audit for over-engineering", "what can I delete from this repo", "find bloat", "ponytail-audit", or "/ponytail-audit". One-shot report, does not apply fixes.
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。
Weekly QBR-prep runbook. Finds every account whose next QBR falls within {{lookahead_days}} days of HubSpot's {{qbr_date_property}} field, pulls usage trends from Postgres and account/CSM data from HubSpot, and assembles a draft deck plus a briefing doc under {{decks_folder}} — read-only across every source system.
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。