A skill your agent uses when deciding whether a software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE…

MITAuto-check passed

Install Icse Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icse-topic-selection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icse-topic-selection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ICSE-Skills/skills/icse-topic-selection .claude/skills/icse-topic-selection && rm -rf skills-src

Use ~/.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/

Facts

Skill name
icse-topic-selection
GitHub stars
1.2k
Token cost
~1.9k tokens
SKILL.md length
940 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 software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE…

  • Works in 2 steps: Who changes their behavior if this paper… → Would an SE empiricist accept the…
  • Deciding whether a software-engineering project belongs in the ICSE research track
  • SKILL.md covers The two-question fit test, Contribution shapes ICSE rewards, Routing table and Timing reality for the current…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Icse Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE co-located track such as NIER, SEIP, SEIS, or Demonstrations, based on contribution type, evidence maturity, and audience.

Its SKILL.md is about 1.9k 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 software-engineering project belongs in the ICSE research track
  • Should be routed to FSE
  • An ICSE co-located track such as NIER
  • Based on contribution type

Example prompts

  • “/icse-topic-selection”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Who changes their behavior if this paper is right? If the answer names
  2. Would an SE empiricist accept the evidence? ICSE's culture demands evidence

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

Icse Topic Selection loads about 1.9k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 940 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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). 940 words, ~1,889 tokens.

Download SKILL.mdSave it as .claude/skills/icse-topic-selection/SKILL.md (or your agent's skills folder).
name
icse-topic-selection
description
Use when deciding whether a software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE co-located track such as NIER, SEIP, SEIS, or Demonstrations, based on contribution type, evidence maturity, and audience.

ICSE Topic Selection

Decide venue before writing a single section. ICSE — the IEEE/ACM International Conference on Software Engineering — is the flagship of the SE research community, which means its reviewer pool expects a contribution to software engineering knowledge, evaluated against the four posted criteria of the research track: novelty, rigor, relevance, and verifiability/transparency (ICSE 2027 CFP wording, checked 2026-07-08). A technically excellent paper whose lesson is about databases, PL semantics, or pure ML will be respected and then rejected as out of scope.

The two-question fit test

  1. Who changes their behavior if this paper is right? If the answer names software developers, testers, maintainers, reviewers, build engineers, or SE researchers studying them, ICSE is plausible. If the answer names compiler writers, DB implementers, or ML-architecture designers, route elsewhere.
  2. Would an SE empiricist accept the evidence? ICSE's culture demands evidence proportional to the claim: real subject programs or projects, credible baselines, a threats-to-validity analysis, and (by the open-science policy) an inspectable artifact. A motivating anecdote plus a toy prototype fails the rigor criterion regardless of the idea's quality.

Contribution shapes ICSE rewards

  • Technique + tool + empirical evaluation — the classic shape: a new analysis, testing, repair, or synthesis technique evaluated on real programs against real baselines (e.g., automated program repair, whose founding ICSE 2009 paper later won the ten-year Most Influential Paper award).
  • Empirical study — quantitative mining, controlled experiments, or qualitative interview/survey work that changes what the community believes about practice.
  • Human-factors / developer-experience study — how practitioners actually use (or refuse) tools, with sound qualitative methodology.
  • SE for AI and AI for SE — testing ML systems, LLM-based SE techniques; the fastest-growing lane, and also the one with the fastest-staling related work.
  • Methodology, benchmark, or dataset contributions when they unlock a research area rather than repackage existing data.

Routing table

Signal in your projectBetter homeWhy
Idea is promising but evaluation is preliminaryICSE NIER (4 pages + 1 ref page, requires a "Future Plans" section per the 2027 call)NIER reviews vision, not completed evidence
Contribution is a deployed industrial experienceICSE SEIPReviewed on relevance to practice, not research novelty
Contribution is the tool packaging or a reusable datasetICSE Demonstrations / Data ShowcasePurpose-built venue with interactive review
Societal impact of software is the pointICSE SEISDedicated reviewer pool
Testing/analysis is the core, SE framing thinISSTADeeper testing expertise, same community
Automation of a development task, systems flavorASESibling flagship, tool-centric
Repository mining is the whole methodMSRPurpose-built co-located conference
Maintenance/evolution focusICSMEScope match
Study too long or too nuanced for 10 pagesEMSE, TSE, TOSEMNo page ceiling, journal-first return path to ICSE
Already published at TSE/TOSEM/EMSEICSE Journal-first (2027 window: journal acceptance between Oct 11, 2025 and Oct 10, 2026)Presentation slot without re-review; secondary studies excluded

Timing reality for the current cycle

The ICSE 2027 research-track deadline (abstract June 23, submission June 30, 2026, AoE) has already passed as of 2026-07-08, and the 2027 call posts a single submission cycle — a departure from the two-cycle model ICSE ran in 2025 and 2026. So "just aim for the next ICSE window" now means roughly a year of waiting. That makes routing honesty cheaper than it used to be: FSE, ASE, ISSTA, and the journals all have nearer deadlines, and a journal-first acceptance can still put you on the Dublin stage.

Show full SKILL.md (384 more words)Show less

Evidence-maturity ladder

Fit is necessary but not sufficient; the same idea belongs at different ICSE doors depending on how far the evidence has come. Grade honestly:

Maturity rungYou have...Right door now
InsightAn observation and an argument, no system or study yetWorkshop or NIER; write the "Future Plans" section the NIER call requires
PrototypeA working technique, evaluated on examples you choseNIER, or hold one cycle and build the real evaluation
EvidenceReal subjects, credible baselines, statistics, threats analysis, artifactResearch track — the four criteria are all satisfiable
DeploymentAdoption data from practice, weaker research noveltySEIP, whose reviewers weigh practice lessons over novelty
Archive-grade depthMore study than 10 pages can holdTSE/TOSEM/EMSE first, then journal-first back to the ICSE stage

The costly mismatch is submitting one rung early: research-track reviewers reject prototypes politely ("promising, but..."), and the year lost to a single-cycle calendar is the real price. One rung of patience is usually one rung of acceptance probability.

Anti-patterns that predict rejection

  • Venue shopping downward: a paper rejected from a PL or ML venue, resubmitted to ICSE without re-framing for the SE audience. Reviewers detect the foreign citation graph immediately.
  • Solution looking for a problem: no evidence any practitioner or researcher has the pain the tool cures — fails the relevance criterion.
  • Benchmark-only novelty: a known technique run on a new dataset with no new question answered.
  • Scope camouflage: renaming an ML contribution "SE for AI" without any engineering question. Ask: if the model were swapped, would the SE lesson survive?

Reading the room before committing

Two cheap reconnaissance moves sharpen the verdict. First, scan the last two editions' accepted-paper titles (ICSE program pages, dblp) for your exact subarea: three or more recent acceptances means a reviewer pool exists; zero may mean either an opening or a scope mismatch — the exemplars in resources/exemplars/library.md help tell which. Second, check where the papers you cite most were published: if your own bibliography is majority non-SE venues, ICSE reviewers will experience your paper as a visitor, and the introduction must do extra naturalization work before the fit test passes.

Decision procedure

text
[Audience] who acts differently if the claim is true? -> SE actors? yes/no
[Claim type] technique / empirical / human-factors / benchmark / methodology
[Evidence maturity] complete + real subjects? -> full track
                    promising + partial?      -> NIER or workshop
                    industrial + deployed?    -> SEIP
[Deadline math] next ICSE window vs FSE/ASE/ISSTA/journal calendars
[Verdict] ICSE research track / co-located track / sibling venue + one-line reason

Run this before the writing skills; a wrong venue decision wastes every later step. When the verdict is ICSE, continue with icse-workflow for the calendar and icse-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 ICSE-Skills/skills/icse-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Icse 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.

Icse Topic Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Icse Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.9kAutomated safety check: PassMIT
TopicsZimoLiao/scholaraio577—~294Automated safety check: PassMIT
Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.7kAutomated safety check: PassCustom licence
Bestblogs Topicginobefun/BestBlogs4k—~670Automated safety check: PassNone
Zsxq Topicitwanger/toBeBetterJavaer18k—~564Automated safety check: PassNone
Pubmed Topic Recommendaipoch/medical-research-skills2k—~1.9kAutomated safety check: PassMIT

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Questions about Icse Topic Selection

What does Icse Topic Selection do?

A skill your agent uses when deciding whether a software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE…. Icse Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a software-engineering project belongs in the ICSE research track or should be routed to FSE, ASE, ISSTA, MSR, ICSME, EMSE/TSE/TOSEM, or an ICSE co-located track such as NIER, SEIP, SEIS, or Demonstrations, based on contribution type, evidence maturity, and audience.

When should I use Icse Topic Selection?

Icse Topic Selection fits situations like: deciding whether a software-engineering project belongs in the ICSE research track; should be routed to FSE; an ICSE co-located track such as NIER; based on contribution type.

How do I install Icse Topic Selection in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icse-topic-selection -a claude-code`. Or copy the skill folder (ICSE-Skills/skills/icse-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icse-topic-selection in your project. Claude Code loads it when a task matches its description.

How do I install Icse Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icse-topic-selection -a codex`. Or copy the skill folder (ICSE-Skills/skills/icse-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icse-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Icse 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 icse-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/icse-topic-selection, .gemini/skills/icse-topic-selection, .github/skills/icse-topic-selection and .opencode/skills/icse-topic-selection in your project.

What does Icse Topic Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Icse Topic Selection is instructions for the agent only.

Does Icse 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 Icse 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 Icse Topic Selection use?

Icse 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 Icse Topic Selection use?

About 1.9k tokens (SKILL.md is roughly 7.6k 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 Icse Topic Selection?

Skills that share tags, products or a category with Icse Topic Selection: Topics (ZimoLiao/scholaraio, 577 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Bestblogs Topic (ginobefun/BestBlogs, 4k stars) and Zsxq Topic (itwanger/toBeBetterJavaer, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Icse 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.