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Guide for testing Codex TUI interactively
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | test-tui |
| description | Guide for testing Codex TUI interactively |
You can start and use Codex TUI to verify changes.
Important notes:
Start interactively.
Always set RUST_LOG="trace" when starting the process.
Pass -c log_dir=<some_temp_dir> argument to have logs written to a specific directory to help with debugging.
When sending a test message programmatically, send text first, then send Enter in a separate write (do not send text + Enter in one burst).
Use just codex target to run - just codex -c ...
Integrating Chrome DevTools and browser automation via MCP for live UI inspection, screenshot-to-code workflows, and visual debugging. Bridges the gap between design and implementation.
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
Use when the user says /rise, "good morning", "let's start the day", or wants their morning consciousness routine. Identifies the Floor from natural-language check-in (does NOT ask the user to name a floor), runs body movement scaled to cycle phase or feeling, recommends top 1-3 priorities from configured to-do files, derives a daily intention. Pairs with /journal at night for accountability. Do NOT use for evening reflection (use /journal), pattern detection (use /patterns), or workout prescription (use /coach for the full session — /rise only handles the post-wake body wake-up flow).
FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.
Index and search culture documentation
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.
