「iter」の検索結果

Coordinate agents toward a unified objective; assign roles, sequence work, prevent conflicts, and define success criteria.

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。

自动从知乎热榜选题、调用 AI 生成原创回答并保存为草稿，支持自定义话题关键词、写作风格和批量生成。 Draft Zhihu answers automatically: picks hot questions, generates original answers via AI, and saves them as drafts — with custom topic filters, writing style, and batch support. Never publishes.

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 strategy-oriented Product Requirements Documents (PRDs) for AI product managers. Use when: (1) drafting a new PRD or strategy doc, (2) structuring a feature proposal with strategy rationale, (3) writing requirement docs that emphasize "why" over "how", (4) turning raw product ideas into structured requirement documents. NOT for: purely technical specs, engineering tickets, or UI copy.

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。

Multi-dimensional Quality Acceptance and Problem Convergence Engine - Deeply deconstruct requirements, eliminate extreme defects, define absolutely objective acceptance and failure criteria.

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 run multi-agent content production teams on OpenClaw with single-repo architecture, symlink-based file sharing, role-specialized AGENTS.md, and automated review-fix-score loops. Use when: (1) Setting up a team of 3+ agents with writer/reviewer/scorer/fixer roles for content creation, (2) Creating a quality-controlled publishing pipeline, (3) Bootstrapping agent workspaces with symlinks and tool configs from scratch, (4) Running multi-round review→fix→score cycles until a quality threshold is met, (5) Debugging agent spawn permissions, tool-call loops, or symlink issues. Based on real production experience building a 6-agent content team (2026-03-30).

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 exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.

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。

You are a professional business analyst, skilled in writing various industry research reports, business insights, consulting analyses, company research reports, competitive analysis, user research, market analysis, and more.## General InstructionsYou must use references and sources to support your arguments, but all cited literature or materials must appear in logically relevant parts of the te...

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。

Draft a client proposal — "write a proposal for", "draft a proposal", "turn this brief into a proposal". Produces executive summary, understanding of their problem, approach, scope, and pricing.

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。

Inject a floating toolbar into a running dev page so the user can point at elements and comment on them, and have that arrive as a live notification. Use when iterating on a UI together in the browser, when the user says "page bridge", or asks to show you which element they mean.

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。

GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle 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。

Investigate and fix CI failures on a pull request. Use when CI checks fail on a PR branch — covers finding the PR, identifying failed checks, downloading logs and artifacts, extracting the failure cause, and iterating on a fix. Requires the `gh` CLI.

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。

Give your AI agent the same visibility you have in the Power Automate portal — plus a bit more. The Graph API only returns top-level run status. Flow Studio MCP exposes action-level inputs, outputs, loop iterations, and nested child flow failures. Use when asked to: list flows, read a flow definition, check run history, inspect action outputs, resubmit a run, cancel a running flow, view connections, get a trigger URL, validate a definition, monitor flow health, or any task that requires talking to the Power Automate API through an MCP tool. Also use for Power Platform environment discovery and connection management. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app

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。

Set up eval-based QA for Python LLM applications: instrument the app, build golden datasets, write and run eval tests, and iterate on failures. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.

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 validating Azure DevOps pipeline changes for the VS Code build. Covers queueing builds, checking build status, viewing logs, and iterating on pipeline YAML changes without waiting for full CI runs.

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。

Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality

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。

Adopt a virtual Kinkajou exotic animal at animalhouse.ai. Nocturnal. Sweet. Literally — it eats fruit and honey. Feeding every 5 hours. Rare tier animal.

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。

Adopt a virtual Hedgehog exotic animal at animalhouse.ai. Curls up when threatened. Opens slowly. Literally a trust metaphor. Feeding every 6 hours. Common tier animal.

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, set up, and monitor a multi-agent video production pipeline backed by Hermes Kanban. Use when the user wants to make ANY video — narrative film, product/marketing, music video, explainer, ASCII/terminal art, abstract/generative loop, comic, 3D, real-time/installation — and the work warrants decomposition into specialized profiles (writer, designer, animator, renderer, voice, editor, etc.) coordinated through a kanban board. Performs adaptive discovery to scope the brief, designs an appropriate team for the requested style, generates the setup script that creates Hermes profiles + initial kanban task, then helps monitor execution and intervene when tasks stall or fail. Routes scenes to whichever Hermes rendering / audio / design skill fits each beat (`ascii-video`, `manim-video`, `p5js`, `comfyui`, `touchdesigner-mcp`, `blender-mcp`, `pixel-art`, `baoyu-comic`, `claude-design`, `excalidraw`, `songsee`, `heartmula`, …) plus external APIs for TTS, image-gen, and image-to-video as needed.

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。

Grade and steer UI work using Anthropic-style design dimensions—coherence, originality, craft, and usability—for generators and evaluators.

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 idiomatic PHP code with generators, iterators, SPL data structures, and modern OOP features. Use PROACTIVELY for high-performance PHP applications.

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。

Writes SEO-optimized content based on provided keywords and topic briefs. Creates engaging, comprehensive content following best practices. Use PROACTIVELY for content creation 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。

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

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 high-perf network I/O. PipeReader/PipeWriter, backpressure, protocol parsers, Kestrel.

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 non-trivial, design-bearing, or architecture-affecting work before execution planning. Creates or updates a versioned spec under planning/specs/active/ with design intent, alternatives, risks, and acceptance criteria.

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。