Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
A skill your agent uses when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS)…
Install Fast Related Work
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-related-work --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/FAST-Skills/skills/fast-related-work .claude/skills/fast-related-work && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fast-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-work into .claude/skills/fast-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-related-work", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-workType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-related-work --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/FAST-Skills/skills/fast-related-work .agents/skills/fast-related-work && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fast-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-work into .agents/skills/fast-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-related-work", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-related-work --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/FAST-Skills/skills/fast-related-work .cursor/skills/fast-related-work && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fast-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-work into .cursor/skills/fast-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-related-work", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path FAST-Skills/skills/fast-related-work--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-related-work --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/FAST-Skills/skills/fast-related-work .gemini/skills/fast-related-work && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fast-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-work into .gemini/skills/fast-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-related-work", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-related-workInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/FAST-Skills/skills/fast-related-work .github/skills/fast-related-work && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fast-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-work into .github/skills/fast-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-related-work", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-related-work --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/FAST-Skills/skills/fast-related-work .opencode/skills/fast-related-work && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fast-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-related-work into .opencode/skills/fast-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-related-work", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
fast-related-work- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 483 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS)…
- Positioning a USENIX FAST submission against the storage-systems literature across FAST
- SKILL.md covers Positioning checks, Storage literature lanes, Delta-first positioning vignette and Concurrent and prior-version…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The storage journals (ACM TOS)
What it does
Fast Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS), writing delta-first contrast rather than a citation catalog, keeping self-citations double-blind, and handling concurrent, preprint, and prior-version overlap.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Literature review, Citation management and Academic paper search. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Positioning a USENIX FAST submission against the storage-systems literature across FAST
- The storage journals (ACM TOS)
- Writing delta-first contrast rather than a citation catalog
- Keeping self-citations double-blind
Example prompts
- “/fast-related-work”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fast Related Work loads about 1.2k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 483 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 483 words, ~1,198 tokens.
Download SKILL.mdSave it as
.claude/skills/fast-related-work/SKILL.md (or your agent's skills folder).- name
- fast-related-work
- description
- Use when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS), writing delta-first contrast rather than a citation catalog, keeping self-citations double-blind, and handling concurrent, preprint, and prior-version overlap.
FAST Related Work
Use this to audit novelty and eligibility. FAST reviewers are close to the storage literature and expect to see where your paper sits relative to the nearest prior work — stated as a delta, not a list. Because many landmark storage systems appeared at OSDI, ATC, SOSP, or EuroSys rather than FAST, covering the right lanes matters. Reopen the current call for concurrent-submission, anonymity, and prior-publication rules before advising.
Positioning checks
- Separate the storage novelty from the engineering effort. What is new: a design that exploits a media property, a mechanism that removes a storage cost, a measurement method, a reliability finding, or an evidence regime nobody had covered on real devices?
- Cover the storage lanes. FAST reviewers expect the storage venues and the storage-relevant systems venues, not just the papers nearest your method (see the table). A bibliography missing the obvious OSDI/ATC/SOSP predecessor reads as unaware.
- Write delta-first. Each closely related system gets one sentence naming what it did and one naming what you do differently — often the delta is a storage quantity (it cut reads but paid write amplification; it worked in simulation but not on real flash). Position, don't catalog.
- Preserve double-blind. Cite your own prior work in the third person and never link reviewers to an identity-revealing preprint, repository, homepage, or trace host.
- Declare overlap with any prior workshop (e.g. HotStorage) version or concurrent submission; do not re-submit archival work as new.
Show full SKILL.md (245 more words)Show less
Storage literature lanes
| Lane | Typical venues | What FAST reviewers check |
|---|---|---|
| Storage flagship | FAST | Whether the nearest storage design/study is compared or distinguished |
| Storage-relevant systems | OSDI, ATC, SOSP, EuroSys | Whether a landmark storage system from a systems venue is credited |
| Storage workshops | HotStorage, MSST | Whether the early or engineering-track predecessor is acknowledged |
| Storage / systems journals | ACM TOS, ACM TOCS | Whether deeper journal-length treatments are engaged |
| Adjacent fields (when relevant) | Architecture (MICRO/ISCA), DB (VLDB/SIGMOD) | Whether borrowed device or workload models are cited to their origin |
A bibliography that cites only your own subarea tells a reviewer the delta may be smaller than claimed; one that reaches the systems flagships and the storage journals signals command of the field.
Delta-first positioning vignette
Suppose the paper proposes an endurance-aware LSM compaction scheduler. Its nearest neighbors: the key/value-separation FAST design (cut amplification via layout, not scheduling), an OSDI LSM system (tuned for reads, write cost unaddressed), and a HotStorage note proposing endurance-aware ideas without an implementation. The novelty sentence should name all three contrasts — scheduling where one changed layout, endurance-optimization where another optimized reads, and a real-device evaluation where the workshop note had none.
Concurrent and prior-version judgment calls
[Concurrent arXiv work] cite neutrally, state the technical/storage-metric difference, avoid
unverifiable priority claims; keep the citation double-blind
[Your HotStorage version] workshop notes are usually non-archival and citable, but confirm against
the current CFP wording and phrase so anonymity survives
[Prior short/poster] declare the overlap and state what the full paper adds beyond it
[Archival status unclear] declare the overlap in the submission form rather than guessingEligibility red flags
- Substantial text overlap with a published paper by the same authors (self-plagiarism risk).
- A "new" study that re-reports a prior dataset's numbers without a new storage question.
- Citations exclusively to non-storage venues, signaling the paper may be a systems/architecture/DB paper rerouted without reframing its storage core.
Output format
[Eligibility] clear / needs declaration / risky
[Lanes covered] <storage flagship / systems venues / workshops / journals / adjacent>
[Nearest 3 works] <work -> one-line storage-metric delta>
[Archival-overlap risk] <none / declare: what>
[Novelty sentence] <FAST-ready contribution contrast against the nearest prior storage work>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in FAST-Skills/skills/fast-related-work of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Fast Related Work next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fast Related Work this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Preprint Search on bioRxivLigphiDonk/Oh-my--paper | 739 | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Systematic Literature Review Builderbytedance/deer-flow | 84k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Literature Review AgentAr9av/PaperOrchestra | 679 | 1 repos | ~5.2k | Automated safety check: Pass | Custom licence |
Similar skills
Preprint Search on bioRxiv
LigphiDonk/Oh-my--paper
Searches bioRxiv life sciences preprints by keyword, author, date range or category with a Python script, returning JSON metadata and optional PDF downloads.
Systematic Literature Review Builder
bytedance/deer-flow
Searches arXiv across many papers on one topic, extracts each paper's methodology and findings in parallel, and synthesizes a cited literature review.
Paper Research on arXiv
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
Literature Review Agent
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Autonomous Research
federicodeponte/opendraft
An 18-agent pipeline that turns one topic line into a drafted research paper, literature review, or thesis chapter.
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Questions about Fast Related Work
What does Fast Related Work do?
A skill your agent uses when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS)…. Fast Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS), writing delta-first contrast rather than a citation catalog, keeping self-citations double-blind, and handling concurrent, preprint, and prior-version overlap.
When should I use Fast Related Work?
Fast Related Work fits situations like: positioning a USENIX FAST submission against the storage-systems literature across FAST; the storage journals (ACM TOS); writing delta-first contrast rather than a citation catalog; keeping self-citations double-blind.
How do I install Fast Related Work in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a claude-code`. Or copy the skill folder (FAST-Skills/skills/fast-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/fast-related-work in your project. Claude Code loads it when a task matches its description.
How do I install Fast Related Work in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a codex`. Or copy the skill folder (FAST-Skills/skills/fast-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/fast-related-work in your project. Codex loads it when a task matches its description.
Can I use Fast Related Work in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-related-work -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fast-related-work, .gemini/skills/fast-related-work, .github/skills/fast-related-work and .opencode/skills/fast-related-work in your project.
What does Fast Related Work need to run?
SKILL.md names no scripts, command-line tools or credentials: Fast Related Work is instructions for the agent only.
Does Fast Related Work access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Fast Related Work safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Fast Related Work use?
Fast Related Work is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Fast Related Work use?
About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Fast Related Work?
Skills that share tags, products or a category with Fast Related Work: Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fast Related Work?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.