A skill your agent uses when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings), sibling conferences (Interspeech, ICIP…

MITAuto-check passedResearch & Science

Install Icassp Related Work

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icassp-related-work -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icassp-related-work --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/ICASSP-Skills/skills/icassp-related-work .claude/skills/icassp-related-work && 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
icassp-related-work
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
475 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings), sibling conferences (Interspeech, ICIP…

  • Positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP
  • SKILL.md covers Positioning checks, Literature lanes table, The sibling-venue attribution… and Positioning vignette, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • TIP and siblings)

What it does

Icassp Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings), sibling conferences (Interspeech, ICIP, EUSIPCO, WASPAA), and ML venues, citing normally under single-blind review, and sharpening the technical delta against the nearest current-cycle work in four pages.

Its SKILL.md is about 1.1k 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 and Positioning and messaging. 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 an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP
  • TIP and siblings)
  • Sibling conferences (Interspeech
  • Citing normally under single-blind review

Example prompts

  • “/icassp-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

Icassp Related Work loads about 1.1k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 475 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 475 words, ~1,080 tokens.

Download SKILL.mdSave it as .claude/skills/icassp-related-work/SKILL.md (or your agent's skills folder).
name
icassp-related-work
description
Use when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings), sibling conferences (Interspeech, ICIP, EUSIPCO, WASPAA), and ML venues, citing normally under single-blind review, and sharpening the technical delta against the nearest current-cycle work in four pages.

Use this to audit novelty and positioning. ICASSP is single-blind, so you cite normally — no anonymized references, no hiding your own prior work. Reopen the current call only for dual-submission and prior-publication rules. The four-page limit makes related work a precision instrument, not a survey.

Positioning checks

  • Separate the signal-processing novelty (a new estimator, transform, representation, objective, architecture, or resource) from an engineering improvement.
  • Compare against both the IEEE SPS journal literature and the conference literature; a reviewer from the relevant technical committee knows both.
  • Position against the nearest current-cycle work, not a five-year-old baseline; ICASSP reviewers work in the subfield and notice a stale comparison immediately.
  • Because review is single-blind, cite your own prior work in normal first person and make the incremental delta explicit rather than obscuring it.

Literature lanes table

LaneTypical venuesWhat ICASSP reviewers check
SPS journalsIEEE TSP, TASLP, SPL, TIP, TIFS, TMM, TCI, TSIPN, JSTSP, OJSPWhether the closest journal result is acknowledged and the delta stated
ICASSP + IEEE conferencesprior ICASSP, ICIP, ICME, SLT, ASRUWhether the nearest conference method is compared or distinguished
Speech/audio siblingsInterspeech, WASPAA, EUSIPCO, DCASEWhether a paper mis-attributed to ICASSP actually lives here
ML venuesNeurIPS, ICML, ICLR, AAAIWhether generic-ML priors are credited without claiming their generality

A bibliography that cites only ML venues and no SPS journals tells a committee reviewer the paper may be rediscovering a known signal-processing result — a recognizable weakness that benchmark strength does not repair.

Show full SKILL.md (227 more words)Show less

The sibling-venue attribution trap

Signal-processing landmarks are scattered across venues, and misattributing one is a credibility hit. Common confusions to check before citing:

  • Papers you think are ICASSP that are actually Interspeech (much of the speech-synthesis and self-supervised-speech canon) or journal papers (TASLP separation work).
  • ICIP for image results and EUSIPCO/WASPAA for European and audio-workshop results.
  • Verify each cited venue against dblp (conf/icassp/, journals/) rather than trusting memory; see ../../resources/exemplars/library.md for the guard list.

Positioning vignette

Suppose the paper proposes a low-complexity beamformer for a hearing device. Its nearest neighbors: a TASLP paper with higher complexity, a prior ICASSP paper with a similar structure but no latency budget, and an ML paper with a black-box network. The novelty sentence should name all three contrasts — lower complexity than the journal method, an explicit latency budget the prior ICASSP work lacked, and interpretability the black-box model lacked — in one or two sentences, because four pages cannot afford a paragraph per contrast.

Concurrent-work judgment

  • Independently concurrent arXiv work: cite neutrally, state the technical difference, and avoid priority claims a reviewer cannot verify.
  • Your own workshop or prior-conference version: cite it in first person and state exactly what this paper adds, since single-blind review does not require hiding it.
  • If a venue's archival status is unclear for dual-submission purposes, declare the overlap rather than gambling on an organizer's interpretation.

Output format

text
[Novelty type] estimator / transform / representation / objective / architecture / resource
[Nearest 3 works] <work -> venue (verified) -> technical delta>
[Lane coverage] SPS journals / ICASSP+conf / siblings / ML — gaps?
[Attribution risk] <any venue to re-verify on dblp>
[Novelty sentence] <one ICASSP-ready contribution contrast>

© 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 ICASSP-Skills/skills/icassp-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Icassp 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.

Icassp Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Icassp Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.1kAutomated safety check: PassMIT
Gec Literature Positioningfranklee16/academic-research-skills2231 repos~855Automated safety check: PassNone
Jpsp Literature Positioningfranklee16/academic-research-skills2231 repos~850Automated safety check: PassNone
Rje Literature Positioningfranklee16/academic-research-skills2231 repos~720Automated safety check: PassNone
Icml Related Workfranklee16/academic-research-skills2231 repos~402Automated safety check: PassNone
Ieee Paper ReaderCloudWave818/ieee-skills359—~591Automated safety check: PassMIT

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Questions about Icassp Related Work

What does Icassp Related Work do?

A skill your agent uses when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings), sibling conferences (Interspeech, ICIP…. Icassp Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP, TASLP, SPL, TIP and siblings), sibling conferences (Interspeech, ICIP, EUSIPCO, WASPAA), and ML venues, citing normally under single-blind review, and sharpening the technical delta against the nearest current-cycle work in four pages.

When should I use Icassp Related Work?

Icassp Related Work fits situations like: positioning an ICASSP submission across the signal-processing literature — IEEE SPS journals (TSP; TIP and siblings); sibling conferences (Interspeech; citing normally under single-blind review.

How do I install Icassp Related Work in Claude Code?

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

How do I install Icassp Related Work in Codex?

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

Can I use Icassp 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 icassp-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/icassp-related-work, .gemini/skills/icassp-related-work, .github/skills/icassp-related-work and .opencode/skills/icassp-related-work in your project.

What does Icassp Related Work need to run?

SKILL.md names no scripts, command-line tools or credentials: Icassp Related Work is instructions for the agent only.

Does Icassp 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 Icassp 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 Icassp Related Work use?

Icassp 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 Icassp Related Work use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 Icassp Related Work?

Skills that share tags, products or a category with Icassp Related Work: Gec Literature Positioning (franklee16/academic-research-skills, 223 stars), Jpsp Literature Positioning (franklee16/academic-research-skills, 223 stars), Rje Literature Positioning (franklee16/academic-research-skills, 223 stars) and Icml Related Work (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Icassp 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.