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Full SolanaOS operator skill — install the runtime, query Solana blockchain data via SolanaTracker RPC, manage wallets, run OODA trading loops, configure multi-venue strategies (spot + Hyperliquid + Aster perps), control BitAxe mining fleets, pair Seeker devices, and interact with the SolanaOS Hub. Use when asked about SolanaOS installation, Solana wallet balances, token research, trading strategy, OODA loops, gateway setup, Telegram bot configuration, mining fleet management, or any SolanaOS runtime operation.

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 and extend the core Pump SDK — an offline-first TypeScript SDK that constructs Solana TransactionInstructions for token creation, buying, selling, migration, and creator fee collection across three on-chain programs (Pump, PumpAMM, PumpFees).

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。

Configure and distribute creator fees to multiple shareholders using the PumpFees program with BPS-based share allocation, admin management, and cross-program fee consolidation for graduated tokens.

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。

Constant-product AMM bonding curve math for Pump token pricing — buy/sell quoting, fee-aware calculations, market cap computation, tiered fees, ceiling division, virtual vs real reserves, and edge-case handling.

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。

Admin and authority operations for the Pump protocol — set coin creator, update token incentives, set IDL authority, claim cashback, Mayhem mode, and BothPrograms cross-program admin instructions.

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。

Checklist for adding or changing a field on ThemeConfig (a new design token, per-mode setting, or export option) end to end — schema, defaults, store + history, CSS apply, export, editor UI, AI, and tests. Use whenever ThemeConfig's shape 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。

Use when designing, reviewing, implementing, or validating UI/UX and frontend experiences for web, mobile, responsive apps, design systems, Figma-to-code handoff, frontend stack/library selection, personas, UX mapping, information architecture, UI patterns, accessibility, interaction design, UX research, usability testing, theme/token application, or XR/spatial interfaces.

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。

Hardcoded-secret detection — AWS keys, GitHub PATs, Slack tokens, Stripe keys, generic high-entropy strings. Pre-commit (`--staged-only`), explicit paths, or full repo. Use when guarding `git commit`, auditing a repo for leaked credentials, validating no secrets entered the diff before push, or producing a rotation list for an exposed-secret incident.

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。

Analyze Codex provider rollout JSONL and ego-benchmark-harness run artifacts to identify slow or failed individual tasks, tool retries, token/cost anomalies, and differences in agent execution paths. Use when users ask to analyze a Codex session or rollout, explain why a Codex task was slow or failed, inspect a Codex provider execution trace, compare Codex runs, count function_call or tool output events, or investigate agent-home/.codex/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。

Publish or refresh one or a few free-AI-credit offers from screenshots or text — official sources win, unverifiable offers dropped, validates, diffs, commits on approval. Don't use for catalog-wide re-checks, scraping, or bulk imports.

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。

Re-verify active offers vs official sources, fix drifted terms, refresh evidence, then issue, PR, review, merge unattended; report-only/no-merge modes. Use for daily checks or stale-content issues. Don't use for adding or editing one offer, or CI.

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 top 10 new or improved free-AI-credit offers on X, Reddit, and the web, verify them officially, and open one review PR. Use for /offer-hunter or hunting new AI credits. Don't use for one known offer or catalog re-checks.

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。

Inspect a reference (web URL, image, PDF, screenshot) and propose a candidate Style for the workspace. Use when the user says "save this style", "guarda este estilo", or shares a reference and wants to reapply it later.

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。

Load for authentication or authorization changes involving BFF cookies/tokens, JWT validation, claims/user ID extraction, policies, handler access checks, impersonation, or 401/403 bugs; not for UI affordance gating alone.

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。

Load when editing Blazor `.razor.css`, scoped selectors, `::deep`, BEM class names, RTL/logical CSS properties, or styling nested MudBlazor components; not for global design tokens or non-Blazor CSS.

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。

Load for Blazor BFF server work involving YARP proxy routes, cookie sessions, access-token forwarding/refresh, downstream API calls, BFF handlers, or browser-to-API auth failures; not for client component rendering or API JWT validation alone.

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。

Baut und betreibt ein anbieterneutrales Self-Care-Kernset für geplante LLM-Aufgaben und Desktop-App-Automationen. Ergänzt deterministisches Policy-Linting, Lock- und Modell-Governance, semantische Prompt-Prüfung, konsistente Mehrflächen-Updates, Mini-Checks und Regeldatei-Hygiene. Nutzen, wenn ein Agent seinen nativen Scheduler entdecken oder eine bestehende Automations-Flotte mit Rollback, Readback und Löschschutz kontinuierlich verbessern soll. Löst aus bei automation self-care, Scheduler-Task-Pflege, Desktop-App-Automations-Wartung, Automations-Flotten-Audit, selbstheilende Zeitpläne, core-set-textautomations, basic-text-automations, textbased-automation-core, textbased-automation-drivers, textbased-governance-automations oder textbased-desktopapp-automations.

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。

Proposes redactions of personal identifiers in pasted text or an attached document (names, contact details, identification and account numbers, dates that identify, quasi-identifiers) and returns a DRAFT redacted copy with consistent placeholder tokens plus a redaction table stating what was replaced, where and why, with a confidence level and a blank reviewer decision per row. Use when the user asks to "redact the names in this document", "de-identify this transcript before we share it", "strip personal data from these notes", "anonymise this report for publication" or "what would need redacting here". Do not use for assessing a planned processing activity, use dpia-draft-pack instead; do not use for working out what data an incident exposed, use data-incident-impact-brief instead. Never declares a document anonymised, safe to release or compliant. Drafts for human review; never approves, authorises or signs off.

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 Railway projects, services, deployments, environments, variables, and deployment logs via Railway's public GraphQL API — one endpoint, relay-style pagination, two token flavors (account vs project), typed mutations for deploys and env vars. Use when the user wants to deploy, check service status, manage env vars, or read deployment logs programmatically without the Railway MCP installed.

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。

Self-test both Telegram rails on this machine, the MCP connector and the userbot library, with a deterministic zero-token detector plus a real in-session MCP probe, and print a per-rail verdict with the exact fix for whichever is down. Triggers: "/tg-check", "are both tg rails up", "check telegram channels".

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。

Put a nightly watcher on any Telegram channel or chat in one command: register the channel and a single nightly job doing an incremental zero-token fetch plus the shared detector, producing a private shortlist report. Triggers: "/watch-channel <@channel|id>", "watch this channel", "monitor <channel> nightly".

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。

- Mine GitHub, GitLab and git history for identities, infrastructure and leaked credentials using commit author emails, GitHub code search, the commit… Use when investigating a developer or organisation on GitHub, finding leaked API keys, AWS keys or tokens in code, enumerating org members and their personal repos, or recovering secrets deleted from HEAD but still present in history or forks

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 and cut the cost of a machine's scheduled routines: measure tokens per run, pick a lever (cheaper model, split, lower frequency, shorter prefix, retire) and prove the saving with a before-and-after measurement. Use when background routines burn more than interactive work. Triggers: /routine-opt, /ropt, routine audit, cheaper routines.

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。

Stop a Google Takeout export from expiring undownloaded: detect the ready-to-download mails with a deterministic zero-token scan, report the live links with days remaining, then drive the download and vault import. Triggers: "/takeout-pull", "is my takeout ready", "pull my takeout".

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。