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概要と使いどころ
Audit AuthCrunch security boundaries, triage vulnerability reports and scanner findings, reproduce authentication or authorization failures, and prepare evidence-backed remediation. Covers trust, credentials, redirects, concurrency, diagnostic logging, and dependency exposure.
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 before opening a PR, or whenever asked to self-review a diffusers contribution. Applies the same rubric as the `@claude` CI (checks the diff against references/review-rules.md, traces call paths for dead code). Reports findings grouped by severity, flagging what to fix before submitting (blocking issues + dead code) vs what to leave for the actual review. Report-only — does not edit files.
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 generating weekly GTM performance reports, summarizing pipeline activity, reviewing outreach metrics, or creating executive updates. Triggers: 'weekly report', 'GTM report', 'pipeline review', 'weekly update', 'outreach summary', 'Friday report'.
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。
Fetches tweets from Twitter List, scores them using data metrics and AI analysis, and generates topic recommendation reports for content creators.
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 user reports a problem or names a piece of work and wants to start on it in a fresh worktree — "start a task", "new task", "file this and make a branch", "/start-task". Finds or files the GitHub issue, creates the feat/… or bugfix/… branch linked to it, and prints the paste-ready `ai fwt|bwt` (Docker) and `ai os fwt|bwt` (host) commands that open the worktree. Linear flow with hard stops; asks nothing.
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 user wants to verify that the evolved agent's score is stable and reliable. Runs evaluation multiple times and reports mean ± std.
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 Kai workflow data, CSV exports, audit folders, SDR package outputs, and marketing reports into dashboard-ready specs or lightweight static dashboards. Use when "data dashboard", "operator dashboard", "operator room", "HTML operators room", "sales dashboard", "SDR dashboard", "turn this data into a dashboard", "dashboard handoff", "visualize Kai data", or any request to package sourced marketing, sales, audit, or SDR data for a dashboard or presentation surface.
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 a white-labeled, client-facing intelligence dashboard — a live, branded reporting surface an agency stands up per client instead of sending static reports. Covers brand auto-extraction from the client's URL, a three-tier build (Basic/Standard/Advanced), an onboarding feature wizard, a 10-page inventory, public-access tradeoffs, and the retention plays that make the dashboard sticky. Use when "client dashboard", "client intelligence dashboard", "white label dashboard", "client portal", "branded dashboard for my client", "agency dashboard", "build my client a dashboard", "give the client a live view instead of a report", or any request to stand up a durable, client-facing reporting surface.
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。
Router for the /docs command. Look up Claude documentation, ask plain-English questions, generate interactive courses and HTML changelog reports, check freshness, and sync the local cache. Dispatches to the claude-docs, claude-docs-validate, claude-docs-course, and claude-docs-changelog skills.
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。
Write or rewrite prose so it sounds like a human wrote it — not a frontier model. Named in homage to Rabindranath Tagore, whose prose carried what frontier models reach for and miss: a point of view, specificity over abstraction, and restraint over puffery. Merges two complementary approaches: a 29-pattern catalog of AI tells (from humanizer) plus an 8-rule operating system with an 8-dimension scoring gate (extending stop-slop). Use when drafting, editing, or reviewing any prose: essays, posts, docs, reports, emails. Detects and removes inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary, passive voice, negative parallelisms, filler phrases, inanimate-verb constructions, narrator-from-a-distance voice, and metronomic rhythm. Adds back the things AI writing usually lacks: point of view, stakes, specificity, restraint, varied rhythm, and trust in the reader.
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 project status reports (single or all projects)
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。
Odoo 18 development reference for Python models and ORM (search, domain, read_group, compute fields), XML/CSV data and views, OWL/JS client code, QWeb reports, security (ACL, record rules, groups), cron and server actions, migrations and module upgrades, tests, i18n, and performance. Use this skill whenever work involves Odoo 18 or custom addons, including traceback diagnosis, addons, manifests, XML errors, HTTP controllers, business rules, feature work, refactoring, or reviews.
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。
Odoo 17 development reference for Python models and ORM (search, domain, read_group, compute fields), XML/CSV data and views, OWL/JS client code, QWeb reports, security (ACL, record rules, groups), cron and server actions, migrations and module upgrades, tests, i18n, and performance. Use this skill whenever work involves Odoo 17 or custom addons, including traceback diagnosis, addons, manifests, XML errors, HTTP controllers, business rules, feature work, refactoring, or reviews.
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 Odoo addon code for correctness, security, performance, migrations, tests, and official Odoo coding guidelines. Use when reviewing Odoo modules, diffs, pull requests, or changed files involving models, fields, XML views, data, controllers, reports, OWL/assets, manifests, access rules, record rules, or OCA migrations.
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。
Odoo 19 development knowledge base covering actions, controllers, data files, API decorators, SQL constraints, indexes, modules, fields, manifests, mixins, ORM methods, migrations, OWL components, performance, QWeb reports, security, testing, transactions, translations, and XML views. Use when writing, reviewing, or debugging Odoo 19 Python, XML, or JavaScript code, creating or modifying modules, fixing performance issues, or looking up Odoo 19 API patterns and best practices.
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。
Odoo 20 development knowledge base covering actions, controllers, data files, API decorators, SQL constraints, indexes, modules, fields, manifests, mixins, ORM methods, migrations, OWL components, performance, QWeb reports, security, testing, transactions, translations, and XML views. Use when writing, reviewing, or debugging Odoo 20 Python, XML, or JavaScript code, creating or modifying modules, fixing performance issues, or looking up Odoo 20 API patterns and best practices.
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 repository session replay and verify configured MetaHarness field memory boundaries before reusing outcomes.
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 changes to this repository using its domain CLI, MCP boundaries, and harness validation 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。
Evaluate proposed repository harness changes with pinned Darwin tools and explicit evidence limits.
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 A-share end-of-day market review reports with Pandadata data, covering trade-date checks, index performance and valuation, market breadth, limit-up/down sentiment, industries/concepts, 龙虎榜, block trades, margin financing, northbound holdings, risk notes, and optional scheduled after-close automation. Use when the user asks for 今日复盘, 收盘总结, 每日市场报告, A股复盘, 龙虎榜复盘, 北向资金动向, or to set up an automated daily market 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。
Create polished single-file HTML artifacts for plans, reports, explainers, code reviews, lightweight dashboards, prototypes, and one-off editing tools. Use when the user asks for a standalone HTML file, single HTML, HTML artifact, interactive report, shareable local artifact, Alpine.js artifact, custom CSS artifact, copy/export UI, or a browser-openable deliverable instead of Markdown.
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 MemoryBench to run repeatable conversational memory and RAG benchmarks across providers, datasets, judge models, checkpoints, and structured reports.
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。
Executes ansible-playbook --check --diff mode and parses the JSON callback output using the ansible.posix.json callback plugin. Identifies tasks that would change, predicts idempotency issues, and generates change impact reports.
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 user supplies or imports existing security findings, vulnerability reports, or security/vulnerability Jira/Linear tickets from scanners, advisories, GitHub, Atlassian Rovo, Linear, or similar backlog sources and wants static repo-impact triage. Do not use for discovery, duplicate-bug triage, validation, or fixes.
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。