仕事効率化のスキル

Resilient PowerPoint generation with shell_agent primary path and python-pptx fallback

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。

Fallback workflow for code execution when automated tools fail, using shell heredoc with verification

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。

Robust PowerPoint generation with shell_agent primary and python-pptx fallback, including directory verification and error debugging

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 tracking and completion of all required deliverables before task termination

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。

Ensures codebase deliverables are properly archived into a ZIP file before marking task complete

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。

Track and complete all required deliverables before finishing a task

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 workflow to resolve FileNotFoundError by locating and verifying file paths

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。

Fallback workflow for multi-format document generation when shell_agent encounters errors

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。

Robust document generation with engine fallback chain, error diagnostics, and Python alternatives

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。

Delegate tasks to OpenSpace — a full-stack autonomous worker for coding, DevOps, web research, and desktop automation, backed by an extensive MCP tool and skill library. Skills auto-improve through use, reducing token consumption over time. A cloud community lets agents share and collectively evolve reusable 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。

Multi-engine document generation with cascading PDF fallbacks and robust Unicode handling

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。

Clarifies that file creation tasks are complete when the deliverable is successfully written—no submission step required

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。

Two-step script execution workflow for debugging when shell_agent and execute_code_sandbox consistently fail

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。

Launch, see and drive a real game so an agent can test its own mods. Covers launching via Steam or the exe, windowed mode at a fixed size, screenshots of the game window (GPU-safe capture), clicking and typing into menus, holding keys, relative mouse, crash-reporter cleanup, killing by PID, reading logs, scripted test scenes, and an in-game JSON bridge that lets an agent observe and act. Windows-first (also from WSL), with notes for Linux and macOS. Use when a mod must be verified in game, when navigating menus automatically, or when building a repeatable test or demo scene.

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 this skill when you need to control a Chrome browser via CDP (Chrome DevTools Protocol) to reuse existing login sessions. Covers: launching Chrome in debug mode, opening URLs, waiting for page load, evaluating JavaScript, taking snapshots, and extracting auth tokens. Trigger phrases: browser automation, CDP, agent-browser, 浏览器操作, 操作浏览器, Chrome CDP, 复用登录态, extract token from browser.

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。

Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas. Use when securing a smart contract end to end rather than hunting one bug, checking a project on every check-in or before deployment, triaging a Slither report, or asking where to start on smart contract security.

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。

Gather and distill context from meetings, competitors, regulatory sources, and internal discussions. Produces background.md for a feature and updates shared context docs when new knowledge is discovered.

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 you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention ladder (orchestrator-ping -> refocus -> human escalation), and the cheap+deep model economics. NOT for orchestrating your OWN rig (orchestration-team) and NOT the intervention primitive mechanics (watchdog).

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 bounded real-world procedure has a deterministic happy path but brownfield, variable, or partially knowable state; when an operation must resume from verified evidence; or when deciding whether agent judgment or ordinary code should own a procedure's control 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。

Use when you have a task and must decide WHO does it — yourself, a spawned subagent, or another agent in the topology that already holds the context. The rule: how much would a blank slate have to read in to do this correctly? A lot → route to a context-holding agent; a little → subagent; unsure → a real agent or yourself. NOT the mechanics of fanning out (that's dispatching-parallel-agents / subagent-driven-development) — this is the who/whether decision, and the failure mode that makes teams abandon subagents.

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 user wants a continuing software team for a real repository, or has a first OpenRig team and needs a repeatable path for reviewed work and later 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。

Use when a mission, slice, dashboard, or task references Markdown as path#h2-slug or path#h2-slug/h3-slug outside the OpenRig context-pack library.

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 building public-equity-investing catalyst calendars. Do not use for full event underwriting; use event-driven-analyzer.

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。

Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.

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。