Object Storage
sickn33/agentic-awesome-skills
Configure object storage with S3, GCS, and MinIO. An agent skill from sickn33/agentic-awesome-skills.
A skill your agent uses when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and…
MITAuto-check passed
Install Fast Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-topic-selection --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-topic-selection .claude/skills/fast-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-topic-selection into .claude/skills/fast-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-topic-selection", 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-topic-selectionType 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-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-topic-selection --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-topic-selection .agents/skills/fast-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-topic-selection into .agents/skills/fast-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-topic-selection", 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-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-topic-selection --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-topic-selection .cursor/skills/fast-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-topic-selection into .cursor/skills/fast-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-topic-selection", 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-topic-selection--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-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills fast-topic-selection --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-topic-selection .gemini/skills/fast-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-topic-selection into .gemini/skills/fast-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-topic-selection", 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-topic-selectionInstalls 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-topic-selection -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-topic-selection .github/skills/fast-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-topic-selection into .github/skills/fast-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-topic-selection", 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-topic-selection -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-topic-selection --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-topic-selection .opencode/skills/fast-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/FAST-Skills/skills/fast-topic-selection into .opencode/skills/fast-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fast-topic-selection", 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-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 671 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and…
- Deciding whether a storage project belongs at USENIX FAST
- SKILL.md covers The routing question that…, Sibling-venue routing table, Storage-contribution shapes… and The storage-lesson and…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Should be routed to OSDI
What it does
Fast Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and when distinguishing FAST from general-systems siblings by storage-contribution shape, real-device evidence, and the two-deadline calendar.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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
- Deciding whether a storage project belongs at USENIX FAST
- Should be routed to OSDI
- A storage journal (ACM TOS)
- When distinguishing FAST from general-systems siblings by storage-contribution shape
Example prompts
- “/fast-topic-selection”
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 Topic Selection loads about 1.6k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 671 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). 671 words, ~1,590 tokens.
Download SKILL.mdSave it as
.claude/skills/fast-topic-selection/SKILL.md (or your agent's skills folder).- name
- fast-topic-selection
- description
- Use when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and when distinguishing FAST from general-systems siblings by storage-contribution shape, real-device evidence, and the two-deadline calendar.
FAST Topic Selection
Decide the venue before drafting. FAST — the USENIX Conference on File and Storage Technologies — is the storage-specialized flagship: its reviewers are file-system, SSD/NVM, key-value, caching, and reliability people, and they read for a storage contribution, not a general systems result that happens to touch disk. A technically strong paper whose real lesson is about scheduling, networking, consensus, or an ML model is respected and then routed to OSDI, ATC, or NSDI.
The routing question that matters most
The decisive question is rarely "is this systems work?" but "is the core lesson a storage lesson — about how data is laid out, written, cached, made durable, or kept consistent — that a storage reviewer would recognize as theirs?" If yes, FAST. If the storage angle is incidental to a broader OS/distributed/networking result, a general-systems venue fits better.
Sibling-venue routing table
| Signal in your project | Better home | Why |
|---|---|---|
| Core lesson is storage: file system, SSD/NVM, KV/object store, cache, dedup, reliability, crash consistency, and the next FAST deadline is reachable | USENIX FAST | The storage-specialized flagship; storage reviewer pool and evidence norms |
| Broad OS / kernel / VM / runtime result; storage is one component | OSDI / SOSP | General-systems flagships; storage is not the whole point |
| General systems, practical/deployment flavor, or a storage result also of broad systems interest | USENIX ATC | Broad systems scope; overlaps FAST but not storage-specialized |
| The heart is the network or distributed protocol (even for a storage service) | NSDI | Networked-systems focus |
| European-systems framing, or a systems result across the stack | EuroSys | General-systems venue with a different community and calendar |
| Early idea, position, or a provocative measurement not yet a full study | HotStorage | Storage workshop for work-in-progress and vision |
| Mass-storage / archival / HPC-storage engineering focus | MSST | Named storage-systems and technology scope |
| Study too long or too deep for the page limit; or a journal-length treatment | ACM TOS (Transactions on Storage) | Storage journal, no conference page ceiling |
Storage-contribution shapes FAST rewards
- New storage-system design — a file system, KV/object store, cache, dedup or tiering system designed around a media or workload reality, embodied and evaluated on real devices (the F2FS lineage).
- Media-conscious mechanism — a data-layout, compaction, wear, or scheduling change that removes a storage cost (write amplification, tail latency, endurance) measured on real hardware (the WiscKey lineage).
- Measurement / characterization methodology — a way to observe or model a device or system property that was opaque, validated against ground truth (the Skylight / SHARDS lineage).
- Large-scale reliability or field study — what actually happens to storage hardware or software at scale, with data no lab experiment could produce (the flash-reliability lineage).
- Storage correctness — crash consistency, durability, or data-integrity techniques and the tools that test them — a distinctly prized FAST mode.
Show full SKILL.md (232 more words)Show less
The storage-lesson and re-label tests
Two quick tests sharpen a borderline verdict:
- Storage-lesson test: state your contribution in one sentence. If that sentence names a storage quantity or property (write amplification, endurance, crash consistency, miss ratio, layout, durability), FAST fits. If the storage word is removable without loss, route to a general-systems venue.
- Re-label test: could this paper go to OSDI or ATC unchanged and read as native there? If its heart is a scheduler, a runtime, or a protocol with storage as a case study, route accordingly; FAST rewards the paper whose core is storage.
Evidence maturity, without the ladder cliché
Fit is necessary but not sufficient: the same idea sits at different doors depending on how far the evidence has come. A provocative measurement with an argument but no system is a HotStorage paper; a design evaluated only on a simulator or one fresh-out-of-box drive needs real, aged devices under real workloads before the FAST bar; a study too deep for the page limit belongs in ACM TOS first. Submitting one step early earns a polite "promising, but measure it for real," and — because FAST runs only twice a year — costs months.
Cheap reconnaissance before committing
[Scope] scan the last two FAST programs (dblp conf/fast, usenix.org) for your subarea
-> 3+ recent papers = a reviewer pool exists; 0 = opening or mismatch (or it's an OSDI/ATC topic)
[Citations] is your bibliography majority storage venues (FAST/OSDI/ATC/EuroSys/HotStorage/MSST/TOS)?
-> majority non-storage => reviewers read you as a visitor; naturalize the framing first
[Calendar] which FAST deadline (Spring/Fall) is next, and does an OSDI/ATC/EuroSys date land sooner?
-> route to the nearest honest fit; FAST's twice-a-year rhythm cuts both waysDecision procedure
[Audience] who acts differently if the claim holds? storage engineers/researchers/operators?
[Claim type] storage-system design / media-conscious mechanism / measurement / reliability / correctness
[FAST vs OSDI/ATC] is the CORE lesson storage? -> FAST; is storage incidental? -> general-systems venue
[Sibling check] network core -> NSDI; early/position -> HotStorage; too long -> ACM TOS
[Calendar] choose the nearer of the two FAST deadlines, or a sibling if it lands sooner
[Verdict] USENIX FAST / sibling venue / workshop / journal, with a one-line storage reasonRun this before the writing skills; a wrong venue decision wastes every later step. When the verdict
is FAST, continue with fast-workflow for the two-deadline calendar and fast-writing-style for the
paper shape.
© 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-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Fast Topic Selection 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 Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Object Storagesickn33/agentic-awesome-skills | 47k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Neon Object Storagesickn33/agentic-awesome-skills | 47k | 1 repos | ~2.9k | Automated safety check: Notes | Apache-2.0 | |
| Web Storagethedaviddias/Front-End-Checklist | 74k | — | ~506 | Automated safety check: Pass | MIT | |
| Token Storage Securitythedaviddias/Front-End-Checklist | 74k | — | ~604 | Automated safety check: Pass | MIT | |
| Django Storages for S3Jeffallan/claude-skills | 12k | — | ~1.9k | Automated safety check: Pass | MIT |
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Questions about Fast Topic Selection
What does Fast Topic Selection do?
A skill your agent uses when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and…. Fast Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and when distinguishing FAST from general-systems siblings by storage-contribution shape, real-device evidence, and the two-deadline calendar.
When should I use Fast Topic Selection?
Fast Topic Selection fits situations like: deciding whether a storage project belongs at USENIX FAST; should be routed to OSDI; A storage journal (ACM TOS); when distinguishing FAST from general-systems siblings by storage-contribution shape.
How do I install Fast Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-topic-selection -a claude-code`. Or copy the skill folder (FAST-Skills/skills/fast-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/fast-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Fast Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill fast-topic-selection -a codex`. Or copy the skill folder (FAST-Skills/skills/fast-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/fast-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Fast Topic Selection 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-topic-selection -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-topic-selection, .gemini/skills/fast-topic-selection, .github/skills/fast-topic-selection and .opencode/skills/fast-topic-selection in your project.
What does Fast Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Fast Topic Selection is instructions for the agent only.
Does Fast Topic Selection 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 Topic Selection 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 Topic Selection use?
Fast Topic Selection 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 Topic Selection use?
About 1.6k tokens (SKILL.md is roughly 6.4k 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 Topic Selection?
Skills that share tags, products or a category with Fast Topic Selection: Object Storage (sickn33/agentic-awesome-skills, 47k stars), Neon Object Storage (sickn33/agentic-awesome-skills, 47k stars), Web Storage (thedaviddias/Front-End-Checklist, 74k stars) and Token Storage Security (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Fast Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.