「expo」の検索結果

Export a Google Sheets spreadsheet as a CSV file for local backup or processing.

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。

Export Google Contacts directory to a Google Sheets spreadsheet.

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。

Transactionally update a customized NanoClaw checkout from official upstream without exposing live mounted source, with fork-safe skill refresh, mutable-state snapshots, migration gates, exact-code upgrade markers, detected service restart, health verification, and automatic local rollback. Use for routine merge, rebase, or selective upstream 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。

Use Iron Proxy for external accounts and APIs, including GitHub through gh. Connect credentials through the operator console and diagnose blocked requests without exposing tokens or adding unnecessary MCP servers.

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。

Publish the user's own gbrain over MCP so other devices, desktop apps and cloud agents can reach it. `gbrain mcp expose` installs and signs in Tailscale, publishes the running `gbrain serve --http` on the tailnet (HTTPS, tailnet-only by default; Funnel only when a client lives in a vendor cloud), keeps the server alive as a user service, and hands back the MCP URL. Then register one least-privilege client per consumer, choose native OAuth/PKCE or a private machine handoff for that client, and verify the connection inside the intended harness.

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。

End-to-end discipline for turning any large data source (audio libraries, email takeouts, document corpora, chat exports, API dumps) into brain pages at scale. The lifecycle spine: SCHEMA → ACCESS → TRIAL → EVALUATE → IMPROVE → CODIFY → TEST → SKILLIFY → BULK → MONITOR. State is tracked in a durable JSON manifest (see MANIFEST-PATTERN.md) so any crash, session boundary, or subagent fan-out resumes from ground truth instead of memory.

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。

Connect a ChatGPT or Claude account and sync its conversation history into the brain automatically. Cookie paste-in is the primary lane; sync is incremental (watermark + trailing-window gap-heal), and can run on a schedule via autopilot or host cron. Distinct from the export-file lane (that lives in conversation-archive) — this is the LIVE, account-connected, auto-scraping path.

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。

Import AI-assistant chat exports (ChatGPT, Claude, Perplexity) and agent session transcripts into the brain as one dated page per conversation under conversations/, validate each page against the native conversation parser, extract facts via the native conversation-facts flow, and keep the archive gap-free with a detect-and-backfill loop. Then answer archive questions: "when did I first discuss X", trace how an idea evolved across past conversations, pull a specific thread.

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 or fix sensitive-data exposure in Python SDK diagnostics, exceptions, logging, and telemetry.

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。

Reconciles the accounting ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) against PayPal, Shopify, Square, and Stripe settlements, flags transactions that need attention, suspicious duplicates, and missing receipts, then writes a plain-English P&L narrative and exports a close packet (xlsx + one-page PDF). This is the first link of the /close-month command; a request to close the month or the books routes there, and the command runs this skill before refreshing the forecast and distributing the packet. Use this skill directly only when the owner wants the reconciliation alone, with no forecast refresh and no distribution: "just reconcile, no packet," "what's missing from the books," "flag the duplicates and missing receipts," or "write the P&L narrative for this month."

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。

Works the bill pile from the AP inbox all the way to a staged payment run — reads and codes every bill, then checks the cash position before a dollar is committed, then stages the run for one-click approval and keeps the books tidy for close. Coding and paying are two separate decisions with two separate approvals, and the cash check sits between them on purpose. Runs on the ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) and a mail connector (Gmail or M365), deepens with Expensify and Ramp, and works from uploaded PDFs or phone photos with the run sheet exported for manual entry. Use it when the owner says "pay the bills," "the bills are piling up," "what do I owe," "who needs to get paid this week," "can I afford to pay these," or forwards a stack of vendor invoices.

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。

Watches what customers are saying in public and in private, then does something about it. Aggregates Google, Yelp, and Facebook reviews alongside disputes, tickets, and email into themes backed by verbatim quotes; drafts a reply to every review in the owner's own voice for approval; spots customers who have gone quiet or look likely to leave; and drafts win-back offers for the ones worth keeping. With Shopify connected, order and fulfillment patterns become a sentiment signal too. Works from pasted or exported reviews when nothing is connected. Use this whenever the owner asks about reviews, ratings, reputation, complaints, or repeat business — including "what are people saying about us," "did we get any bad reviews," "how do I respond to this one-star," "our rating dropped," "which customers have gone quiet," "who hasn't ordered in a while," "how do I win them back," or "are customers happy."

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。

Generate the commit / best-case / pipeline narrative for a forecast call or a 1:1 with your manager - what's closing, what's at risk, what changed since last time. Use when the user asks "write my forecast", "forecast narrative", "prep for forecast call", "prep for my quarterly forecast call", "which deals should I commit vs. call upside", "forecast from this pipeline export", or "prep for my 1:1 with my manager".

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。

The ads consultant that becomes an ads agent. Reads paid-ad performance natively through the TikTok Ads connector, or via a build-connector Zapier connection for other ad platforms, explains in plain English what is working and what is burning money, recommends budget, targeting, and creative changes with the dollar impact of each, drafts new ad copy in the owner's voice plus Canva creative briefs, and — only after an explicit yes — executes the approved changes in the ad account. Works from exported CSV reports when nothing is connected, the normal starting point. Use this whenever the owner talks about ads or ad spend at all, including "are my ads working," "what's my ROI on ads," "I'm spending money on Facebook and I don't know what I'm getting," "should I turn this campaign off," "my cost per lead is going up," "write me a new ad," "who should I be targeting," or "the ad guy quit."

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。

Assess and classify legal risks using a severity-by-likelihood framework with escalation criteria. Use when evaluating contract risk, assessing deal exposure, classifying issues by severity, or determining whether a matter needs senior counsel or outside legal review.

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。

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

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 Angular Table v9 instances with injectTanStackTableDevtools inside injection context. Load for reactive table registration, required options.key, enabled or undefined tables, cleanup, Angular isDevMode gating, or explicit production exports.

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。

Connect Solid Table v9 instances to Devtools with tableDevtoolsPlugin and useTanStackTableDevtools in the proper reactive owner. Load for missing targets, required options.key, enabled state, cleanup, or development versus explicit production exports.

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。

Connect React Table v9 instances to Devtools with tableDevtoolsPlugin and useTanStackTableDevtools. Load for missing Table panels, registration lifecycle, required options.key, enabled state, or development versus explicit production exports.

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。

Automates terminal UI screenshot testing for CLI commands. Applies when reviewing PRs that affect CLI output, testing slash commands (/about, /context, /auth, /export), generating visual documentation, or when 'terminal screenshot', 'CLI test', 'visual test', or 'terminal-capture' is mentioned.

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。

Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every consumer is named before anything is deleted. Not for tidying a diff you just wrote (that is bundled `/simplify`) and not for defects (that is `/review`).

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。

Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.

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 ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch.

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。

Converts a markdown deck (slides separated by `---` HR boundaries or by `# ` H1 headings, with optional `<!-- notes: ... -->` presenter notes blocks) into a single-file HTML presentation with arrow-key / space / PgDn / PgUp / Home / End / P / Esc keyboard navigation, presenter mode (split view with current slide + speaker notes + clock + next-slide preview), URL-hash deep linking, and `@media print` page-per-slide for PDF export. Triggers when the markdown-html-orchestrator classifies an input as SLIDES, or when invoked directly via /cs:md-slides. Reuses md-document's markdown parser for slide-body rendering and reads design-system tokens via config_loader.py. Refuses if input has no clear slide boundaries, produces a 1-slide deck, or `--strict-notes` is on with < 50% notes coverage. Use after orchestrator routing.

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。