「agents」の検索結果

Use git as a safety net - create a checkpoint commit before risky or large changes and roll back cleanly if a change makes things worse. Use before multi-file refactors.

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。

Verify code changes by running the project's typecheck, build, lint, and targeted tests, then fix and re-run until clean. Use after editing any source file.

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。

Answer a quantitative business question by writing a SQL query against the data warehouse, validating it, and presenting the result. Use when the user asks "how many...", "what's the trend of...", "compare X vs Y over...", "what's our top N...", or anything that resolves to a query against tabular data. Produces a small result table plus the underlying query.

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。

Produces a citation-grounded summary across one or more workspace source files for summaries, briefings, literature reviews, or comparisons.

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。

First-response playbook for an inbound customer message — classifies the ticket, restates the issue, gathers missing context, and routes the reply.

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。

Search a codebase efficiently with ripgrep regular expressions, file globs, and git history search. Use to locate symbols, usages, and definitions instead of reading whole 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。

Starter skill template. Replace the body with your own playbook before relying on it; this stub exists only to teach the workspace layout.

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。

Visualise the result of an analysis as a chart (line, bar, area, scatter, etc.). Use when the user asks to "plot...", "chart...", "show me the trend of...", "visualise...", or when a numerical result has more than ~10 rows and would be easier to read as a picture. Produces an image file plus the script that generated it.

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。

Statistical data analysis skill — use when the user asks to analyze numbers, compute statistics, or summarize datasets.

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。

Apply multi-file or tricky edits atomically with git apply instead of many fragile edit_file calls. Use when changing several files at once or when edit_file fails to match.

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 for a summary, TL;DR, or condensed version of any content.

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。

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

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 way to answer "how are my production AI agents doing?" and to run the team's agent-observability deployment — reach for it even on casual phrasing that names no tool. Trigger when the user wants to: • inspect agent telemetry — did agents error/fail/go flaky; sessions, events, latency, token usage, slowest models; eval/quality scores and whether quality dropped; • operate the deployment — ack/assign/resolve/mute/dismiss issues (alerts, reports, and audit findings) with notes; run and triage audits; see who has access and change roles (e.g. read-only); create or scope API keys (e.g. a push-only CI key); change settings; run saved or ad-hoc ClickHouse queries. Served by the `fp` CLI against FailproofAI Cloud. NOT for writing or designing an evaluator service / scoring logic (that's `agenteye-evaluator`), adding SDK/instrumentation to your app (that's `failproofai-sdk`, imported as `failproofai_sdk`), debugging the collector/daemon, or unrelated dev work (why a build/CI run failed, rotating non-FailproofAI Cloud secrets).

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。

Drive tuios from inside one of its panes. Find out where you are running, read and write other panes, run work and wait on it instead of polling, report your own state so the person sees it, and talk to the other agents and the person safely. `tuios --skill <topic>` prints the rest: fleets of agents, turn checkpoints, shipping a worktree, the Inbox and approvals, push notifications, pairing a phone, mail, other machines, clients, events, MCP, the tmux shim, herdr's command line, pane grants, configuration, agent features off, errors and recipes.

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 modifying `resources/workflow-schema.json` in cc-wf-studio to influence how AI agents generate workflows via the cc-workflow-ai-editor skill. Triggers include "AIが特定のノードタイプを選んでくれない", "ワークフロー生成のバイアスを調整したい", "スキーマの description を変えたい", "新しいノードタイプを追加したい", "嘘の制約がスキーマに混じっていないか確認したい". Covers what the schema actually does (instructions to AI, not runtime constraints), the design philosophy (align direction, do not prescribe rules), the build pipeline (.json → .toon auto-generated), and known bias sources to audit.

Find and fix the docs and agent guidance that a branch makes stale - agent skills and their reference files, AGENTS.md and .agents/*.md prompts, READMEs, docs/ folders, and code-adjacent docs that name a changed path, command, symbol, env var, setting, endpoint or behaviour. Use before opening a PR, before pushing new commits to an open PR, and when asked to update docs or skills after a change. The open-pr skill runs it every time.

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。

Post-change checks before handing off. Works out which checks apply from the files changed (directory AGENTS.md Checks sections and matching .agents/rules), runs or verifies each, and reports pass/fail/skipped. Use before saying work is done, before pushing, or when asked to audit or verify a change.

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 asked to compare, cross-review, merge, judge, choose, or arbitrate competing plans from multiple agents such as Codex and Claude Code; when given two or more proposed plans, session IDs, transcripts, plan documents, PR descriptions, or pasted strategies; or when the user wants one recommended execution plan after agents review each other's proposals.

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。

Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.

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。

Creates, forks, authors, validates, publishes, updates, versions, pulls, archives, restores, transfers, and manages co-authors for Observal Agents. Use when the user wants to build or install an Agent, change an Agent definition, publish a draft, release a version, or manage Agent ownership.

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。

Decompose large tasks across parallel agents — use for migrations, multi-file refactors, or batch 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。

Operate and coordinate AI agents in Herdr workspaces in Ghostty. Use when the user mentions Herdr or asks to inspect, message, wait for, or coordinate its agents. Excludes cmux and ordinary terminal sessions.

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。

Distribute global skills across Codex, Claude Code, Pi, Hermes, and Cursor. Use for "distribute this skill", "sync skills across agents", or after creating or updating a global skill.

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。

No Polling for Background Agents

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。