Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Edit PDFs using natural-language instructions. Point it at a page and describe what to change.
# Install with uv (recommended — already available in Surogate)
uv pip install nano-pdf
# Or with pip
pip install nano-pdf
nano-pdf edit <file.pdf> <page_number> "<instruction>"
# Change a title on page 1
nano-pdf edit deck.pdf 1 "Change the title to 'Q3 Results' and fix the typo in the subtitle"
# Update a date on a specific page
nano-pdf edit report.pdf 3 "Update the date from January to February 2026"
# Fix content
nano-pdf edit contract.pdf 2 "Change the client name from 'Acme Corp' to 'Acme Industries'"
read_file to check file size, or open it)nano-pdf --help for config)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
The Arbor research-coordinator protocol: the OBSERVE -> IDEATE -> SELECT -> DISPATCH -> DECIDE cycle over a durable Idea Tree. Preloaded automatically on /auto-research sessions. The coordinator never edits code or runs commands — executors do that in isolated worktrees; the coordinator steers the tree with idea_tree / dispatch_experiments / merge_experiment.
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 Arbor executor workflow: clone the repo from the git bundle your brief hands you, implement and evaluate exactly ONE hypothesis with the file tools, then report structured results via worker_complete. Preloaded automatically on arbor-executor task workers. Never touch the held-out test split.
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。
Hard-gated ideation for an Arbor research run. Load at the START of every IDEATE round, before drafting any hypothesis. Enforces the PI mindset (mechanism over knob), the four-question first-principles probe, the kill-filter, and the four-line hypothesis format. Ported from Arbor's idea_drafting + first_principles_probe.
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。
DECIDE-phase doctrine for an Arbor research run: when to merge, prune, combine, or finalize; how the held-out merge gate works; and the rule that the final report uses TEST scores. Load before deciding what to do with completed experiments.
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。
Intake for an autonomous research run (Arbor). Use when the user wants to optimize a metric in a repo over many isolated experiments — 'optimize this benchmark', 'improve the model F1 overnight', 'beat the leaderboard'. Discovers the repo/eval/splits, measures the baseline, confirms a Research Contract, then emits a ready-to-send /auto-research command. Does NOT start the run itself.
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。
You MUST use this before any creative work — creating features, building components, drafting documents, designing workflows, or modifying behavior. Explores your human partner's intent, requirements, and design before any implementation begins.
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。