HypoGeniC Hypothesis Generation
K-Dense-AI/scientific-agent-skills
Plans and audits runs of the HypoGeniC and HypoRefine packages, which propose hypotheses from labeled text datasets, with local checks before any model call.
A skill your agent uses when deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution or the plumbing, forking across…
Install Sigir Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigir-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/SIGIR-Skills/skills/sigir-topic-selection .claude/skills/sigir-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 "sigir-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGIR-Skills/skills/sigir-topic-selection into .claude/skills/sigir-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigir-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/SIGIR-Skills/skills/sigir-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 sigir-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigir-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/SIGIR-Skills/skills/sigir-topic-selection .agents/skills/sigir-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 "sigir-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGIR-Skills/skills/sigir-topic-selection into .agents/skills/sigir-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigir-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 sigir-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigir-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/SIGIR-Skills/skills/sigir-topic-selection .cursor/skills/sigir-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 "sigir-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGIR-Skills/skills/sigir-topic-selection into .cursor/skills/sigir-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigir-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 SIGIR-Skills/skills/sigir-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 sigir-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigir-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/SIGIR-Skills/skills/sigir-topic-selection .gemini/skills/sigir-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 "sigir-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGIR-Skills/skills/sigir-topic-selection into .gemini/skills/sigir-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigir-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 sigir-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 sigir-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/SIGIR-Skills/skills/sigir-topic-selection .github/skills/sigir-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 "sigir-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGIR-Skills/skills/sigir-topic-selection into .github/skills/sigir-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigir-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 sigir-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 sigir-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/SIGIR-Skills/skills/sigir-topic-selection .opencode/skills/sigir-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 "sigir-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGIR-Skills/skills/sigir-topic-selection into .opencode/skills/sigir-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigir-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
sigir-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 725 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 project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution or the plumbing, forking across…
- Deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution
- SKILL.md covers Test 1: is retrieval the…, Test 2: the track fork, Neighbor routing when SIGIR… and Borderline cases, adjudicated, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Forking across full/short/resources/reproducibility/perspectives/industry
What it does
Sigir Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution or the plumbing, forking across full/short/resources/reproducibility/perspectives/industry, and routing misfits to ECIR, CIKM, WSDM, CHIIR, ICTIR, RecSys, TheWebConf, or NLP/ML venues.
Its SKILL.md is about 1.8k 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 Reproducible research and Natural language processing. 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 project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution
- Forking across full/short/resources/reproducibility/perspectives/industry
- Routing misfits to ECIR
Example prompts
- “/sigir-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
Sigir Topic Selection loads about 1.8k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 725 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). 725 words, ~1,750 tokens.
Download SKILL.mdSave it as
.claude/skills/sigir-topic-selection/SKILL.md (or your agent's skills folder).- name
- sigir-topic-selection
- description
- Use when deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution or the plumbing, forking across full/short/resources/reproducibility/perspectives/industry, and routing misfits to ECIR, CIKM, WSDM, CHIIR, ICTIR, RecSys, TheWebConf, or NLP/ML venues.
SIGIR Topic Selection
Two decisions, in order: (1) is this an information-retrieval contribution at all, and (2) which SIGIR track owns it. Both are cheaper to get right in October than to learn from reviews in March. SIGIR 2026's verified lineup — Full, Short, Perspectives, Resources, Reproducibility, Low Resource Environments, and Industry tracks — makes the second decision genuinely multi-way.
Test 1: is retrieval the contribution or the plumbing?
The LLM era floods SIGIR with papers where retrieval is present but incidental. The discriminating question: if you swapped the retrieval component for an oracle (or a black box), would the contribution survive?
- Survives → the contribution is the downstream system (agent, QA, generation quality); route to an NLP/ML venue and cite IR work properly.
- Dies → the contribution is retrieval: ranking quality, efficiency, evaluation validity, user search behavior, or the retrieval-specific part of RAG (candidate quality, index design, retrieval evaluation). SIGIR-shaped.
Corollary signals of SIGIR fit: the natural headline table has metric@cutoff
columns on named collections; the natural reviewers are IR-evaluation people; the
natural related work includes SIGIR/TOIS/TREC lineage (see sigir-related-work).
Test 2: the track fork
| Your strongest honest sentence starts with... | Track | 2026 anchor |
|---|---|---|
| "We propose/analyze a method and show on N collections..." | Full papers | ≤9 pp excl. refs, double-blind |
| "We report one focused finding..." | Short papers | ≤4 pp excl. refs, own OpenReview group |
| "We built and share a corpus/toolkit/judgments..." | Resources | ≤6 pp + refs, single-anonymous |
| "We reproduced (or failed to reproduce) published results..." | Reproducibility | Own track in 2026; details 待核实 |
| "We argue the field should..." | Perspectives | Details 待核实 |
| "We deployed retrieval in production and learned..." | Industry (SIRIP lineage) | Details 待核实 |
| "Search under compute/connectivity/language constraints..." | Low Resource Environments | Feb 5 abstract, Apr 2 notify (2026) |
Fork rules of thumb:
- A full paper needs a rounded evidence program; a strong single finding with one collection and one deep analysis is a better short paper than a thin full paper.
- The dataset built for your method paper is a separate routing decision — the cross-track double-submission ban means the dataset goes to Resources only if it is not the method paper's claimed contribution.
- Reproducibility is for studies about prior results, not for "our paper has good
reproducibility" (that's
sigir-reproducibilityhygiene).
Neighbor routing when SIGIR isn't the answer
Contribution center of gravity -> Better first target
---------------------------------------------------------------
Interactive/user-study search behavior -> CHIIR (then SIGIR full)
Formal/theoretical IR models -> ICTIR (SIGIR-affiliated)
Recommender systems end-to-end -> RecSys (SIGIR takes rec too,
esp. retrieval-flavored: NGCF/LightGCN lineage)
Web platform/graph/user data emphasis -> TheWebConf (WWW) or WSDM
IR + knowledge management/databases -> CIKM
European timing or repro emphasis -> ECIR
Language-technology contribution -> ACL/EMNLP (retrieval as application)
Efficiency/systems below the ranking -> systems venues; keep an IR-eval slice for SIGIR
Evaluation campaign participation -> TREC/NTCIR/CLEF tracks (not archival
substitutes: they *feed* SIGIR papers)TREC deserves the explicit note: it is an evaluation campaign, not a proceedings competitor. Building on (or contributing to) a TREC track is often the strongest possible SIGIR pipeline — campaign participation year 1, analysis paper year 2.
Show full SKILL.md (318 more words)Show less
Borderline cases, adjudicated
- RAG for a downstream task, with a retrieval ablation: if the ablation is the deepest result, extract it into a retrieval-evaluation paper for SIGIR and let the system paper go to NLP — two focused papers beat one blurry one.
- An LLM that rewrites queries: SIGIR-shaped if evaluated as a retrieval intervention (per-topic deltas on standard collections), NLP-shaped if evaluated on rewrite quality.
- A new efficiency trick inside an index structure: SIGIR wants the quality-cost frontier; a pure throughput result without ranking-quality context fits systems venues better.
- A user study of searchers: CHIIR first unless there is a measurable system-side consequence (a re-ranker, an interface signal) evaluated IR-style.
- An evaluation critique with no fix: Perspectives material, or pair it with a demonstrated protocol improvement and aim for full papers.
Timing and prestige honesty
- SIGIR's single annual cycle (January-pattern deadline) means a misrouted
submission costs a year unless the fallback ring is pre-planned
(
sigir-workflow). Route by contribution type, not venue rank. - Short papers at SIGIR are archival, cited, and respected — routing a focused finding there is a strategy, not a demotion.
- If the honest evidence today is one collection, no significance testing, and an unfinished ablation, the choice is not "which track" but "which cycle" — a rushed January submission burns the year anyway.
One more timing lever: the staggered secondary-track calendar (Resources and LRE ran weeks behind full papers in 2026) sometimes lets a January full-paper miss become a same-year February resource or reproducibility submission — but only if the contribution genuinely re-frames, not as a costume change reviewers see through.
Scope vocabulary check
SIGIR's own topic language (2026 full-papers page): search and ranking, queries and query analysis, web search, retrieval models and ranking, efficiency and scalability (indexing, crawling, compression), recommender systems — plus the community's standing breadth: evaluation, conversational search, and retrieval-augmented systems. If the abstract cannot be written naturally in this vocabulary, revisit Test 1.
Output format
[IR-contribution test] survives-oracle-swap: yes (route out) / no (SIGIR-shaped)
[Track] full / short / resources / reproducibility / perspectives / industry / LRE
[Fork rationale] <one sentence: why this track owns the strongest honest claim>
[Cross-track conflicts] dataset/method ownership resolved y/n
[Fallback ring] <next venue if rejected, with deadline>
[Cycle honesty] submit this cycle / build one more quarter© 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 SIGIR-Skills/skills/sigir-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Sigir 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 |
|---|---|---|---|---|---|---|
| Sigir Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| HypoGeniC Hypothesis GenerationK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.6k | Automated safety check: Notes | MIT | |
| Ablation Study Plannerwanshuiyin/Auto-claude-code-research-in-sleep | 17k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Radiology Annotationhuang-sir1/radiology-skills | 1.9k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Scholar Openjoshzyj/open-scholar-skill | 168 | — | ~14k | Automated safety check: Pass | Custom licence | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT |
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Ablation Study Planner
wanshuiyin/Auto-claude-code-research-in-sleep
Plans the ablation studies a paper needs after main results support its claim: Codex designs them like a reviewer, Claude Code checks feasibility and runs them.
Radiology Annotation
huang-sir1/radiology-skills
Design/audit imaging truth, readers, ROI geometry, reproducibility and label noise; not model training.
Scholar Open
joshzyj/open-scholar-skill
Implement open science practices for a social science study.
Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
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Categories
Questions about Sigir Topic Selection
What does Sigir Topic Selection do?
A skill your agent uses when deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution or the plumbing, forking across…. Sigir Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution or the plumbing, forking across full/short/resources/reproducibility/perspectives/industry, and routing misfits to ECIR, CIKM, WSDM, CHIIR, ICTIR, RecSys, TheWebConf, or NLP/ML venues.
When should I use Sigir Topic Selection?
Sigir Topic Selection fits situations like: deciding whether a project belongs at SIGIR and in which of its tracks — testing whether retrieval is the contribution; forking across full/short/resources/reproducibility/perspectives/industry; routing misfits to ECIR.
How do I install Sigir Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-topic-selection -a claude-code`. Or copy the skill folder (SIGIR-Skills/skills/sigir-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sigir-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Sigir Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigir-topic-selection -a codex`. Or copy the skill folder (SIGIR-Skills/skills/sigir-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sigir-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Sigir 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 sigir-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/sigir-topic-selection, .gemini/skills/sigir-topic-selection, .github/skills/sigir-topic-selection and .opencode/skills/sigir-topic-selection in your project.
What does Sigir Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Sigir Topic Selection is instructions for the agent only.
Does Sigir 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 Sigir 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 Sigir Topic Selection use?
Sigir 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 Sigir Topic Selection use?
About 1.8k tokens (SKILL.md is roughly 7k 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 Sigir Topic Selection?
Skills that share tags, products or a category with Sigir Topic Selection: HypoGeniC Hypothesis Generation (K-Dense-AI/scientific-agent-skills, 48k stars), Ablation Study Planner (wanshuiyin/Auto-claude-code-research-in-sleep, 17k stars), Radiology Annotation (huang-sir1/radiology-skills, 1.9k stars) and Scholar Open (joshzyj/open-scholar-skill, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sigir Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.