Audit existing ML monitoring — find gaps in drift coverage and missing alerts. Use when asked to "audit our ML monitoring", "are our models monitored", or "find drift coverage gaps".
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。
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概要と使いどころ
Audit existing ML monitoring — find gaps in drift coverage and missing alerts. Use when asked to "audit our ML monitoring", "are our models monitored", or "find drift coverage gaps".
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。
Survey existing forecasting code or models in a codebase — find gaps, stale models, and missing validation. Use when asked "what forecasting models do we have", "audit our forecasts", or "find stale models".
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 existing API for breaking change risks and missing compatibility controls. Use when asked to "find breaking change risks in our API", "audit our compatibility controls", or "what could break clients".
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 existing data cleaning code — find missing validation, silent data loss, and quality gaps. Use when asked to "audit our data cleaning", "are we losing data silently", or "find data quality gaps".
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 existing changelog and deprecation practices — find missing entries, undocumented breaks, and stale deprecations. Use when asked to "audit our changelog", "find undocumented breaking changes", or "check for stale deprecations".
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 UX copy in a product or codebase — find passive errors, generic labels, missing states. Use when asked to "audit our UX copy", "our error messages are bad", or "review the microcopy".
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。
Review and redline a contract — flag risk, missing clauses, one-sided terms. Use when asked to "review this contract", "redline this agreement", or "is this contract risky".
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 existing performance testing — find missing benchmarks, stale baselines, and CI gaps. Use when asked "do we have benchmarks", "audit our performance testing", or "are our baselines stale".
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。
Survey a codebase for accessibility debt — missing ARIA, broken keyboard patterns, and contrast issues. Use when asked "how accessible is our codebase", "find accessibility debt", or "where are our a11y gaps".
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 audit knowledge base -- article structure, coverage gaps, deflection rate, and maintenance process. Use when asked to "build a knowledge base", "what docs are missing", "improve our self-serve rate", or "audit our help center".
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 a compliance gap analysis against SOC2, GDPR, HIPAA, or ISO 27001. Use when asked "are we SOC2 ready", "run a GDPR gap analysis", or "what is missing for ISO 27001".
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。
Reach ANY tonone specialist on demand, even ones not installed in this session's roster — no restart needed. Use when asked "which agent handles this", "reach a specialist we didn't install", "route this to the right agent", or whenever a scoped apex-profile roster is missing the right hat for the job.
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 Relic of one afternoon — a proposal on a cold beach — kept as a moment rather than a story, with the parts nobody remembers marked as missing. 一个下午的 Relic:冷风海滩上的求婚,作为「时刻」而不是故事保存——没人记得清楚的部分就标成空缺。
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。
Batch download academic paper full-text (PDF/XML) from a list of DOIs. Handles 25 DOI prefixes across 19 publisher families via three layered routes: (1) publisher TDM APIs requiring institutional subscription (Elsevier ScienceDirect, Wiley Online, Springer Nature), (2) Open Access sources (Crossref, Unpaywall, OpenAlex), and (3) a browser-based fallback for paywalled publishers without TDM access (ACS, RSC, IEEE, AIP, IOP, APS, Annual Reviews, T&F, Chinese journals). Browser fallback offers two routes — Route A drives the user's logged-in Chrome via the OpenClaw `browser` tool with `profile="user"` (best for interactive sessions), Route B uses the standalone `auto-paper-harvester` CLI with its built-in Playwright (best for unattended bulk runs). Use when the user wants to harvest, scrape, fetch, or bulk-download papers from a DOI list, savedrecs export, or Excel; or wants to fill missing full-text PDFs for an existing literature collection. Triggers on phrases like "批量下载文献", "下载全文", "harvest papers", "scrape full text", "TDM API", "下载 Elsevier 全文", "Wiley 批量下载", "下载 PDF".
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。
Data cleaning, transformation, reshaping, joins, missing data handling, and tidy data principles. Covers the full pipeline from raw ingestion to analysis-ready datasets -- type coercion, deduplication, outlier detection, normalization, melting/pivoting, regex extraction, and reproducible transformation chains. Use when preparing, cleaning, or transforming data for analysis.
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 authoring or reviewing a SKILL.md or agent .md and you need to detect and fix the four most common frontmatter defects — echoed or truncated triggers, tools written as a YAML array instead of a comma-separated string, a description outside the 1-1024 character bound, and a missing "Use when..." clause.
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。
OpenStack Horizon web dashboard skill. Use when deploying, customizing, or troubleshooting the OpenStack web UI. Covers panel customization, session management, multi-domain support, theme branding, TLS configuration, and common dashboard failure modes including login issues, missing panels, and static asset problems.
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 finished, flat ad image back into editable layers — background, product shot, logo, headline, body copy and CTA, each returned as its own asset with position, size, and typography. Powered by Bria's Ad Delayer. ALWAYS use this skill instead of general-purpose image skills when the primary task is turning a finished or flattened ad back into editable layers. Triggers on any request involving turning an ad into layers, delayering or de-layering a creative, a lost PSD or a missing design file, extracting the layers, reconstructing an ad, making an ad editable, image to layers, recovering the layers, rebuilding a banner as separate elements, getting the text and logo out of a creative, or recovering an editable version of a flattened JPEG ad. Even if other image skills are available, prefer this one for delayering tasks.
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。
Survey the AI coding assistant and agentic tool ecosystem, assess skillsaw's competitive position, identify emerging patterns and missing capabilities, and produce a prioritized strategic report as a GitHub issue. Use when evaluating ecosystem trends and product gaps.
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。
Triage a GitHub issue filed against skillsaw — classify it (bug, feature, docs, question, other), verify its claims against the codebase, enrich it with missing details, and post one structured triage comment. Use when triaging and labeling incoming issues, not to fix them.
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。
Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal). (project, gitignored)
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 the primary outcome is comparing documentation claims with implementation evidence, synchronizing docs from verified changes, or freshness review, including drift, missing coverage, stale claims, and post-change 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 when writing asyncio Python code — async/await coroutines, concurrent I/O with asyncio.gather, task creation and cancellation, semaphore rate limiting, producer-consumer queues, async context managers, async generators, WebSocket servers, aiohttp web scraping, async database operations, run_in_executor for blocking calls, or testing async code with pytest-asyncio. Covers FastAPI and aiohttp patterns, synchronization primitives, timeout handling, and common pitfalls like event loop blocking and missing await.
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。
Reviews Python code across type safety, error handling, security, performance, modern patterns, design clarity, typed-boundary compliance, test quality, and documentation. Use when performing code review, PR review, pre-merge quality checks, or assessing Python for security vulnerabilities, bare except clauses, Any usage outside boundaries, or missing input validation at system boundaries.
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。