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概要と使いどころ
Analyze the bond futures basis by pricing futures, identifying the cheapest-to-deliver, and comparing with yield curves to assess delivery option value and basis trading opportunities. Use when analyzing bond futures, computing the basis, identifying CTD bonds, calculating implied repo rates, or evaluating basis trades.
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Analyze the interest rate swap curve by pricing swaps at multiple tenors, overlaying government and inflation curves, and identifying curve trade opportunities. Use when analyzing swap curves, computing swap spreads, decomposing real rates, identifying steepener/flattener/butterfly trades, or comparing swap rates across currencies.
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。
Unified LLM torch-profiler triage skill for `sglang`, `vllm`, `TensorRT-LLM`, and `TokenSpeed`. Use it to inspect an existing `trace.json(.gz)` or profile directory, or to drive live profiling against a running server when supported and return one three-table report with kernel, overlap-opportunity, and fuse-pattern tables.
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。
Guide for writing SGLang CI/UT tests. Covers CustomTestCase, CI registration, server fixtures, model selection, mock testing, and test placement. Always read test/README.md for the full CI layout, how to run tests, and extra tips. Use when creating new tests, adding CI test cases, writing unit tests, or when the user asks to add tests for SGLang features.
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U.S. SEC EDGAR fetch interface — resolve a ticker to its CIK, list recent filings (10-K / 10-Q / 8-K and friends) with primary-document URLs, and pull XBRL companyfacts financial series. Free, no API key; rate-limited by IP so every request is throttled and carries a contact User-Agent. United States only.
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Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.
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。
Supply-chain bottleneck arbitrage. Given a super-trend (AI infra, energy transition, defense, semiconductor reshoring, space economy), decompose its physical supply chain down to Layer 2/3 choke points (optics, lasers, InP/SOI substrates, IC substrates, probe cards, specialty fiberglass...) and surface under-the-radar listed companies sitting on each bottleneck. Scores each link on 6 scarcity criteria, applies mandatory valuation gates (PS/PE/safety-margin) via the financial_rigor tool, and Munger-style reverse-validates. Outputs a ranked bottleneck opportunity board. Use when the user wants hidden beneficiaries of a structural trend rather than already-priced leaders.
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。
Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins. Use when deploying network-based intrusion detection at key boundaries, writing custom Snort rules, tuning rulesets to reduce false positives, or integrating Snort alerts with a SIEM.
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。
Conduct internal Active Directory reconnaissance using BloodHound Community Edition's graph database with the SharpHound (AD) and AzureHound (Entra ID) collectors, mapping ACLs, sessions, and group memberships into attack paths from a low-privileged foothold to Domain Admin. Use after an initial AD foothold to identify privilege escalation chains, or to validate that AD hardening closed known attack paths.
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 vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.
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 Malpedia API to look up malware family aliases and naming (platform.family_name), pull community/vendor YARA rules, link families to threat actors, and map family relationships such as loader-payload chains and shared authorship. Use when researching a malware family's aliases, lineage, or actor attribution, or when sourcing YARA rules for detection.
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。
Expert in building portfolios that actually land jobs and clients - not just showing work, but creating memorable experiences. Covers developer portfolios, designer portfolios, creative portfolios, and portfolios that convert visitors into opportunities. Use when: portfolio, personal website, showcase work, developer portfolio, designer portfolio.
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 opportunities to add metrics and estimate numbers when exact data is unavailable. Use when the user wants to quantify achievements, add numbers, percentages, or impact metrics to a resume.
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 Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.
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Skill validation framework PLUS daily test-suite health and regression intelligence. Validates skill conformance (frontmatter, manifest coverage, resolver coverage). Runs the project test suite in tiered phases (unit / evals / integration / system health), classifies failures, and produces a regression-aware report.
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The meta skill. Turn any raw feature into a properly-skilled, tested, resolvable unit of agent capability. Idempotent: running on an existing skill improves it (bug fix, new input, quality pass) instead of starting from scratch. Every skill declares an EVAL CONTRACT (its goal + skill-specific dimensions + hard-fails) so the cross-modal eval judges THIS skill's real purpose, not generic slop. Cross-modal eval runs BEFORE tests: 3 frontier models from different providers critique the output against the contract, you iterate to quality, THEN write/update tests that lock in the proven-good behavior. NO-REGRESSION LAW: any edit to a skill must score >= the previous iteration's eval — forward only, never back. For skills that back a scheduled job, an edit MUST re-run a representative task and eval it before shipping.
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 refresh a strategic account plan - current state, goals, stakeholder coverage, opportunity map, risks, and the action plan - written to a doc and key fields synced to the CRM. Use when the user says "build an account plan for [account]", "update the [account] plan", "account planning for [account]", or before a planning cycle / QBR.
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 expansion whitespace in an account or a book - what they own vs. what they could own, the evidence for each play, and the open opps to create. Use when the user asks "what's the whitespace at [account]", "where can I expand [account]", "upsell opportunities in my book", or "which customers should I be growing".
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。
Deep-dive on a single opportunity - signal-adjusted health score, risks, gaps in qualification, and recommended next actions. Use when the user asks "review the [account] deal", "deal review on [opp]", "is [opp] going to close", or "what's the risk on [deal]".
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。
Pre-call brief for an upcoming meeting - attendees, account history, prior call context from transcripts, open opportunity status, and suggested discovery questions. Use when the user asks "prep me for [meeting/company]", "call prep [company]", "I'm meeting with [company], prep me", "get me ready for [meeting]", or "what do I need to know before my [time] call".
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。
Upcoming renewals with timing, risk, and uplift potential - and the renewal opportunity records to keep them honest. Use when the user asks "what renewals are coming up", "renewal radar", "is [account] going to renew", "prep the [account] renewal", or "which renewals are at risk".
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 recently closed opportunities to find patterns in what wins and what loses - stage of loss, common objections from transcripts, deal characteristics. Leader-focused. Use when the user asks "win loss review", "why are we losing deals", "what's working", or "analyze closed opps".
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 time, draft the invite, and book the meeting on Google Calendar or Outlook - then log it to the CRM as an event on the right account and opportunity. Use when the user says "schedule a follow-up with [contact]", "book the demo with [account]", "find time with [name] next week", "send my Calendly link", or "get the QBR on the calendar".
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。
Stage-by-stage pipeline health check - coverage, aging, conversion, and at-risk deals - from CRM opportunity data. Use when the user asks "review my pipeline", "pipeline health", "where's my pipeline stuck", "weekly pipeline review", "which deals should I focus on this week", "any stale or stuck deals", "which deals have past close dates", "which deals are single-threaded", or "check my pipeline coverage against my number".
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。