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Generate or lint a compact top-level FILETREE.md navigation map. Use when repository structure changes or FILETREE.md needs creation, regeneration, or validation.
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
Maintain an OKF paper wiki under `paper-wiki/` or another user-named wiki root, including optional Chinese mirror notes under `papers_zh/`. Use when asked to add arXiv or research-paper URLs, capture non-paper sources such as blog posts, docs, or talks, update or translate paper notes, maintain paper/topic/concept/source indexes, automatically create or update topic summary pages for important new themes, maintain concept entity pages for methods, datasets, benchmarks, metrics, terms, or tools, link papers to research projects, normalize paper metadata, track reading status, compare papers, generate required `viz.html` visualizations, or validate the paper wiki.
Audit, position, and communicate research value without outrunning the evidence. Use when users need audience-specific buy-in from advisors, collaborators, reviewers, talk audiences, or the research community; want to pitch or promote an idea, paper, result, codebase, or demo; plan research PR; or need to detect and repair overclaiming. Do not use for generic proofreading, summarization, or formatting.
Map scattered ideas into a human-approved DAG of verifiable states, then drive fresh agents through it edge by edge. Use when the user has a destination or idea fragments but lacks the domain knowledge to identify or sequence the route; when revising a map bundle; when compiling approved edges into launch prompts; or when recording execution evidence, deviations, and human verification.
Prompt-contract authoring for frontier reasoning and coding agents. Use when the user wants a new implementation prompt, a phased agent task, a copy-ready prompt, or an evidence-based upgrade of an existing prompt that should work across capable model providers.
Two-stage academic rebuttal assistant. Given the paper abstract, reviewer comments, scores, confidences, and venue constraints, first diagnose the underlying concerns, assess whether rebuttal is worth the limited author time, and produce a prioritized experiment-and-analysis plan. After the author provides completed results, produce an evidence-grounded rebuttal, revision plan, or resubmission plan. Never fabricate results, reviewer intent, citations, or manuscript locations.
Use when selecting, auditing, or justifying experimental baselines for a research idea, paper draft, task, benchmark, or experiment plan. Finds classic methods, recent SOTA, direct competitors, strong simple baselines, ablation baselines, resource-matched comparisons, and reviewer-expected missing baselines, but only admits baselines with non-empty, accessible GitHub repositories that appear reproducible. Records strong papers without usable open-source code as excluded candidates rather than selected baselines.
| name | filetree-simple |
| description | Generate or lint a compact top-level FILETREE.md navigation map. Use when repository structure changes or FILETREE.md needs creation, regeneration, or validation. |
| license | MIT |
Generate FILETREE.md as a deterministic cold-start map: core repository files
plus public top-level areas. Each area owns its meaning in index.md; the map
links to that entrypoint and stops there.
Run commands from the target repository root, or pass --repo before the
subcommand. The helper is scripts/filetree.py.
Run:
python scripts/filetree.py generate
If validation fails, fix every reported entrypoint and rerun generate.
Run lint after generation.
Completion criterion: FILETREE.md contains the complete two-section map and
lint exits 0.
Run:
python scripts/filetree.py lint
lint builds the expected map in memory and compares it with FILETREE.md.
It never writes files. Exit 0 means current; exit 1 means invalid inputs or
drift that generate must resolve.
Core Files and Main Areas sections.index.md. Only a skill directory may fall back to
SKILL.md.index.md entrypoint starts with an English H1 followed by one plain
English sentence of at most 20 words. That sentence becomes the map summary.SKILL.md entrypoint supplies single-line name and description
frontmatter; description follows the same summary rules.FILETREE.md; a failed run leaves the existing file unchanged.index.md or skill SKILL.md entrypoints.FILETREE.md; no sidecar manifest or hashes.Run the standard-library test suite after changing the skill:
python -m unittest discover -s tests -v
Inspired by nekocode/filetree-skill, an MIT-licensed Claude Code plugin.