push
無料Push current branch changes to origin and create or update the corresponding pull request; use when asked to push, publish updates, or create pull request.
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。
920 件 ・ 関連度順
概要と使いどころ
Push current branch changes to origin and create or update the corresponding pull request; use when asked to push, publish updates, or create pull request.
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。
Capture semantic-layer and knowledge updates from a live database schema snapshot.
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。
Plan, deploy, operate, and troubleshoot Azure Local (formerly Azure Stack HCI): sizing and prerequisites, Arc registration, lifecycle updates, workloads (Azure Local VMs, AKS on Azure Local, images, disks, logical networks), SDN and network security, and failure triage — starting read-only and confirming before risky changes. WHEN: Azure Local, Azure Stack HCI, Arc resource bridge, custom location, Azure Local VM, Arc VM, AKS on Azure Local, AKS hybrid, SDN, Lifecycle Manager, Azure Local update, disconnected site.
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。
Jira issue workflows for search, issue updates, transitions, comments, field discovery, and interactive credential setup via the Jira REST API. Use when you need to configure Jira access, search with JQL, inspect an issue, create or update work items, move an issue between statuses, post comments, or discover required fields for issue creation.
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。
Design and harden Roblox client/server networking with RemoteEvent, RemoteFunction, and UnreliableRemoteEvent; server authority, argument and Instance validation, rate limits, proximity/ownership checks, targeted replication, streaming, lifecycle, prediction, and reconciliation. Use for Roblox remotes, exploits, request spam, multiplayer replication, network ownership, high-frequency cosmetic updates, or server/client desynchronization.
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。
Design and build game UI/UX — HUDs, menus, and overlays — that survive every screen: anchor- based responsive layout, resolution/aspect scaling and safe areas, keyboard/gamepad focus navigation, a screen/menu state stack, and event-driven (not polled) HUD updates. Engine- neutral patterns that pair with the detected engine's UI skill. Use when the user mentions HUD, health bar, main menu, pause menu, settings screen, UI layout, anchors, UI scaling, aspect ratio, safe area, controller/keyboard menu navigation, or wiring UI to game state.
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。
Run /sync as the last step after a change is complete, around merge, to keep durable knowledge current. Updates root and nested AGENTS.md, reconciles the scope from repo evidence, and flags specs the change made stale. Surgical edits only: it adds lines, and rewrites single lines it owns. Never a whole section, never curated prose.
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。
This skill should be used when picking or diagnosing a training move (SFT, LoRA, DPO/KTO/ORPO, RFT, GRPO/PPO/RLOO, RLHF), or when the user mentions fine-tuning, post-training, training recipe, reward design, or weight updates. Decision tree by reward shape, smoke-run gate, three failure diagnostics, five false-progress patterns. Provider recipes and I/O contract in references/.
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。
Octane bindings for TanStack DB. useLiveQuery hook with dependency arrays (8 overloads: query function, config object, pre-created collection, disabled state via returning undefined/null). useLiveSuspenseQuery for Octane Suspense with Error Boundaries (data always defined). useLiveInfiniteQuery for cursor-based pagination (pageSize, fetchNextPage, hasNextPage, isFetchingNextPage). usePacedMutations for debounced Octane state updates. Return shape: data, state, collection, status, isLoading, isReady, isError. Import from @octanejs/tanstack-db (re-exports all of @tanstack/db).
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。
Audit one, several, or all existing Octane bindings; implement selected maintenance findings or remove redundant copied files with evidence matched to source ownership. Use for binding updates, lifecycle fixes, dependency or metadata maintenance, and convenience-import 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。
Builds and maintains Claude Code plugin marketplaces: converts a skills repo to spec-valid marketplace.json, adds/updates plugin entries, and migrates skills into or between suites. Use for marketplace.json, plugin distribution, one-click install, or "put these skills in a suite". Not for repo health audits (use marketplace-health-check) or cache reconciliation (use skill-governance).
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 and send technical status notifications through WeCom (Enterprise WeChat) webhooks. Use this skill whenever the user needs to send notifications, alerts, backup completion reports, or status updates via WeCom; when they mention 企业微信, 企微机器人, webhook, or alerting; or when a message needs to be clear, unambiguous, and technically precise rather than vague or condescending.
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。
Clones and audits competitor repositories into evidence-based intelligence with file:line citations. Use to track competitors, add a competitor repo, review competitor code, compare capabilities, build a competitor landscape, or check for code updates: 竞品分析 / 竞品 / competitor scan / analyze competitor / compare with X / latest competitor code. Not for market research without code (use deep-research).
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。
Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview, risk-classified, approval-gated, then recorded back to the brain. Use when asked to act on a plan, file tickets from a checklist, create issues from a PRD, execute the recommended next steps, or wire a skill's output into GitHub/Linear/Slack. Produces a dry-run actions plan with per-action risk, executes only after approval via the connected action MCP, and logs what was done. Nothing acts silently.
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。
Help users design and facilitate product reviews that shift from status updates to strategic deep-dives, ensuring high-quality craftsmanship and organizational alignment.
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。
Read and write Twitch via the Helix API: channel profile, follower stats, live stream status, past videos, channel title and game updates, clip creation. Trigger phrases: twitch, stream stats, stream followers, channel update.
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。
Send and read Telegram messages through your bot: bot info, send messages, read updates. Trigger phrases: telegram, telegram bot, send a telegram message.
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。
Rules as hypotheses: falsifiable tests, confidence updates, graduate or kill. Triggers: experiment, hypothesis, prove, test rule, validate methodology, evidence.
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。
Daily-scheduled AI news tracker. Collects updates from 80+ AI entities across 6 sources every 24 hours (default 08:00 UTC+8). Generates scored, deduplicated Markdown reports. Supports unattended cron/scheduled execution with date-stamped idempotent output.
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。
Produce a concise read-only Agiflow status summary covering completed work, work in progress, blockers, and recommended next priorities. Use for daily standups, morning checks, stakeholder updates, or a quick project pulse.
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。
Check for and apply upstream COG framework updates (skills, docs, scripts) without touching personal content
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。
Manages Fabric IQ Ontology items, including entity and relationship types, data bindings, and definition updates, plus schema, lineage, grounding, and graph-walk exploration. Use for ontology modelling and traversal. For natural-language questions over a Power BI report use fabriciq.
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。
Fills in missing data for inbound leads — researches the company, identifies the person's role and seniority, finds other stakeholders at the company, checks for existing CRM relationships, and updates the lead record. Produces enriched lead data ready for qualification or outreach. Tool-agnostic.
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。
For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.
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。