「agentic ai」の検索結果

Test-driven development - write failing test first, then minimal code. Use before implementing any feature or bugfix.

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。

Check Google Calendar for today's schedule. Use during daily planning or when user asks about their 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。

Sync new Granola meetings to local Knowledge folder. Use during daily planning, when user asks "what should I do today", or asks to review/sync meetings.

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。

Sync Linear issues with local tasks. Use during daily planning or when user asks about Linear issues.

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。

Check Slack for important messages and activity. Use during daily planning or when user asks about Slack 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。

Turn ideas into designs through collaborative dialogue. Use before any creative work - features, components, or modifications.

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。

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

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 a finished epic folder in the ticket tree against the evidence it left behind — the epic file, each ticket plan, diffs, commits — and produce a retrospective with sourced findings, action items, and an acceptance decision. Use when the user says "run a retrospective" or "lets retro the epic [epic]". Supports -H/--headless

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。

Turns implementation work into working code, reviewed and verified. Use when the user delegates a feature, story, bug fix, or meaningful change; a bare story or issue link counts. Skip obvious, low-risk mechanical maintenance such as small ignore-file, typo-only, formatting-only, or configuration-hygiene edits. Explicit BMAD requests always qualify. Do not volunteer for user-directed interactive edits or version-control operations that only record existing work.

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。

Orchestrates lively group discussions between installed BMAD agents or custom personas, and helps author custom parties. Use when the user requests party mode, a roundtable, or multiple agent perspectives — or wants to create/configure a party, define personas, or build an AI focus-group panel

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, adopt, refresh, or audit a repository's agent instructions (the AGENTS.md block) so AI agents work well in that repo. Also records observed agent mistakes as pitfalls. Use when invoked by name

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Answers BMad questions and recommends the next skill from what is installed. Use when the user asks bmad for help, what to do next or where to start; to set up, update, repair, doctor, migrate or check the status of the installation, or add modules; or to see or change the active initiative.

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。

Smithy the Toolsmith builds, converts, reviews, packages, validates and migrates BMad skills, agents and modules. Use when the user wants a skill, agent, persona, command or module made, changed, reviewed or packaged; a prompt or rule from another tool turned into a skill; a skill mined from session logs; an old module migrated; or asks for Smithy. Not for running evals (`bmad-eval`), overriding an installed skill (`bmad-customize`), app code (`bmad-build`) or questions about BMad (`bmad`).

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。

Web3 Infrastructure Architect: Indexers, RPC, wallets, account abstraction, key management and off-chain services.

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Rewrite text so it doesn't read as AI-generated. Use when the user asks to de-slop, humanize, tighten or clean up writing, or runs /ade:deslop on a file or pasted text.

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RAG & Knowledge Architect: Retrieval systems: ingestion, chunking, embeddings, hybrid search, reranking, evals.

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。

AI-assisted development, testing, and reverse engineering through structured agent collaboration

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Use when auditing an agent codebase against the 12-Factor Agents methodology, reviewing LLM-powered system architecture, or assessing agentic app compliance. Triggers on "analyze agent architecture", "12-factor audit", "how compliant is this agent", or "evaluate this LLM app". Also applies when comparing frameworks or planning agent improvements. Not for quick checklists — this performs deep per-factor codebase analysis with file-level 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。

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。

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

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Use when converting an agentic repository into a ChatGPT/Codex Plugin or when building, repairing, validating, packaging, submitting, publishing, or auditing an existing Plugin.

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 a repository has a valuable agentic workflow, prompt chain, playbook, command, or runbook that should become a portable ChatGPT/Codex Skill without losing its real decision logic.

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。

Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents. Use this when you need to scale engineering output with a small team, handle repetitive migrations/bug fixes, or onboard engineers to complex legacy codebases.

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。

Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

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。