Ben-Lau1
- 5 skills
- 0 followers
- 19 hours ago last updated
- ▌ Park Long Waits · ben-lau1 bundlePark and resume work automatically when an external experiment, training run, deployment, build, download, queue job, review, remote process, or other operation leaves no useful action until it produces a result. Use proactively during long-running goals, when the user asks Codex to babysit or monitor slow work, or when repeated polling would waste agent turns. Keep active Goal mode active, checkpoint state, attach a completion-aware waiter or condition-triggered monitor, remain quiet while the operation is unchanged, wake the same task only when a result is actionable, and then continue the goal. Do not use merely because the overall task is long, while productive work remains, or for deterministic work that can continue now.
- ▌ Autoresearch · ben-lau1 bundleOrchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
- ▌ Read With Markitdown · ben-lau1 bundleConvert document and data files to Markdown with Microsoft MarkItDown before reading or analyzing them. Use whenever Codex is about to inspect PDF, HTML, DOCX, PPTX, XLSX/XLS, EPUB, CSV, JSON, XML, ZIP, Outlook messages, images with OCR or metadata, or audio requiring transcription, especially for text extraction, summarization, search, comparison, and citation. Do not rely on conversion alone when exact visual layout, figures, scanned pages, formulas, spreadsheet cell fidelity, or dynamic or authenticated web content matters; pair it with native visual or structured inspection.
- ▌ Delegate Work To Luna · ben-lau1 bundleDelegate cold-context acquisition and low-depth information processing to GPT-5.6-Luna subagents at maximum reasoning effort, then let the primary agent reason from their evidence. Use proactively for web search, literature scouting, source screening, bulk reading of papers or documentation, codebase file and symbol inventories, log and experiment artifact collection, metric extraction, structured normalization, labeling, deduplication, and migration or documentation inventories when unfamiliar context volume dominates the work. Luna must locate, read, extract, organize, and report provenance—not make architecture decisions, perform deep debugging or security reasoning, generate final conclusions, independently validate high-stakes claims, or implement changes. Use scripts instead when the transformation is deterministic.
- ▌ Creative Thinking For Research · ben-lau1Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.