「oop」の検索結果

Self-improvement loop for multi-agent workflows. Diagnose failures, improve tool descriptions, and learn from success/failure patterns.

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 changes and create a meaningful commit with agent authorship. Internal skill for evolve_loop.

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 the Incan review/fix loop end to end: review, fix actionable findings, and review again until clean or blocked. Use when the user wants an autonomous review-and-repair pass or says /review-and-fix.

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。

Report which local git worktrees under tmp/ are safe to close, need a human look, or are explicitly protected. Use when the user says /fleet-audit, asks what worktrees can be cleaned up, or wants a status check across all Ralph-loop/spike worktrees before running closeout on any of 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。

Edit Source Code: Use when the user wants to "edit" the code base in one shot from a query or a bare analyzer issue id like "P1", fusing crafting, refactoring, and resolving with optional grilling, verification, looping, and Git worktree isolation.

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。

Iteratively edit and refine a named plan for a task through a conversational loop. Each round, the current plan is shown and the user is asked whether to keep refining, mark the plan as done, or proceed to the implementation or draft. Use when the user wants to plan a task purely through chat-driven refinement.

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。

Determine the conceptual proximity of a topic -- its parent topic, its most relevant sibling topics, and its most relevant child topics -- optionally grounded in Internet/Web facts and optionally navigable in an interactive loop. Use when the user wants to explore the conceptual neighborhood of a topic, or mentions "proximity" or "related topics".

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。

Edit Specification: Use when the user wants to "edit" the SpecBook-based specification (SPEC) in one shot from a query, with optional grilling, SpecBook validation, looping, and Git worktree isolation.

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。

Report-only QA testing. Systematically tests a web application and produces a structured report with health score, screenshots, and repro steps — but never fixes anything. Use when asked to "just report bugs", "qa report only", or "test but don't fix". For the full test-fix-verify loop, use /qa instead.

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。

Instruments and workflow for debugging the VirtualList — the chat transcript (`InfiniteList`) and the sidebar (`FiniteList`). Covers the built-in consistency checker, the on-screen overlay, the five `?vl*` URL flags, the touch-gesture rig, the frame recorder, attaching to a real Android device over CDP, and how to read a trace without being fooled by a measurement artifact. Use when the list jumps while scrolling, blanks, sticks on skeletons, or the overscroll/bounce misbehaves. The component's specification is `docs/ui/virtual-list.md`; this skill is only how to *measure* it. Pairs with /debug-ui (browser side) and /server-loop (server side).

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 asks about evolution progress, current scores, best version, how many iterations ran, or whether the loop is stagnating.

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 run the optimization loop, improve agent performance, evolve the agent, or iterate on quality. Requires .evolver.json to exist (run harness:setup first).

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 and batch-produce an entire email system for a product. Maps every lifecycle touchpoint (onboarding, activation, conversion, retention, transactional, win-back), generates all emails with quality gates, outputs Loops-ready copy. Use when "create all emails", "email system", "build email sequences", "lifecycle emails", "onboarding sequence", "set up transactional emails", "plan all the emails for [product]", or any request to systematically produce a complete set of emails for a platform.

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。

Reverse-engineer a supplied video into a shot-by-shot generation specification, displayed evidence frames, and paired Chinese-English prompt packages. Use for requests such as 视频反推提示词, 视频转提示词, 从视频生成提示词, 视频逆向提示词, 逐镜头反推, 分镜拆解并生成提示词, 反推视频 prompt, or video-to-prompt; also use for Veo, Sora, Kling, Wan, generic prompt adaptation, and bounded generate-compare-optimize loops. Do not use for ordinary video summaries or basic transcription.

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。

Modern PHP 8.5 practices: type system, OOP, security, architecture, async, testing, tooling. Use when writing or reviewing PHP code.

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。

Repair or extend CodyMaster skills with a three-mode loop: FIX, DERIVED, and CAPTURED, grounded in current repo tooling.

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 implementing any feature or bugfix. Routes to the core Red-Green-Refactor loop, test quality guidance, rationalization handling, examples, or stuck-state recovery.

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 Squirrelscan from a coding agent to audit SEO, performance, security, accessibility, and agent-experience issues, then feed exact fixes into an agent repair loop.

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 an existing coding agent into a supervised local work assistant that connects to workplace tools, reusable skills, workflows, and scheduled loops.

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 browser-use to turn natural-language web tasks into repeatable browser automation backed by Playwright and agent loops. This skill helps an agent open sites, inspect page state, click, type, extract data, and recover from common UI changes with a real automation framework instead of brittle one-off scripts.

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。

Start, watch, and restart a local stack of app processes together instead of juggling many terminals and ad hoc shell loops.

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 ARIS to run Markdown-based agent skills for literature review, idea discovery, cross-model critique, experiment planning, and paper-writing support.

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。

AutoGen is Microsoft's open-source framework for building multi-agent systems where AI agents converse with each other and humans to solve tasks, with support for tool use and human-in-the-loop workflows.

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 support operations guidance for customer service excellence. Use when designing ticket management systems, creating SLA policies, building support tier structures (L1/L2/L3), optimizing knowledge bases, defining severity levels and escalation procedures, implementing support metrics (CSAT, FRT, TTR, FCR), configuring support tool stacks, or building support-to-CS feedback loops. Covers Zendesk, Intercom, Freshdesk, and help desk 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。