Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
49,105 skills from 2,358 repositories · updated 2 hours ago
48,055 skills
- socc-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ACM SoCC project timeline from venue fit through the two-round abstract+paper deadlines, the rebuttal, notification, camera-ready, and presentation, with backward-planning offsets for a cloud-systems measurement paper and honest handling of the two-rounds-per-year cadence and the no-cross-round-resubmission rule.ProductivityNo warnings★ 1.4K↓ —
- rss-submissionbrycewang-stanford/Awesome-Journal-SkillsJournal-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 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanningNo warnings★ 1.4K↓ —
- ase-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ASE (IEEE/ACM Automated Software Engineering) paper, covering real subject systems, fair runnable tool baselines, task-matched effectiveness metrics, ablations that isolate a learned component, oracle and correctness validation, contamination-aware LLM handling, and provenance for mining.ScienceNo warnings★ 1.4K↓ —
- wsdm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning the calendar for a WSDM submission - the single annual cycle from August abstract and paper deadlines through October notification to the February conference, backward milestone planning, the September short-paper fallback, alternate entrances (demos, WSDM Cup, doctoral consortium), and coordination with sibling-venue deadlines.ProductivityNo warnings★ 1.4K↓ —
- acl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for an ACL paper, covering tuned LLM baselines, multi-dataset and multilingual evaluation, statistical significance and variance, human evaluation with agreement reporting, contamination and prompt-sensitivity controls, ablations, and error-analysis expectations in NLP reviewing.ScienceNo warnings★ 1.4K↓ —
- uist-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a UIST cycle end to end — the late-March abstract and paper deadlines, the ten-week build-freeze before video production, the rebuttal window, conditional acceptance, the July camera-ready, adjunct-track parallel lanes, and the November conference — with owners and risk buffers.ProductivityNo warnings★ 1.4K↓ —
- vldb-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a VLDB project on the PVLDB rolling calendar, covering month-picking strategy, the volume-to-conference mapping and acceptance cutoff, budgeting a possible three-month revision, coordinating author caps across a group, and backward planning from the 25th-abstract / 1st-paper rhythm.ProductivityNo warnings★ 1.4K↓ —
- vis-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an IEEE VIS full-paper submission for PCS readiness, covering the abstract-then-paper two-deadline structure under the VGTC society, the IEEE VGTC/TVCG 9+2 page budget, author-optional double-blind anonymization, the supplemental-material one-week window, and desk-reject triage before the AoE cutoff for a paper that will publish in IEEE TVCG.ScienceNo warnings★ 1.4K↓ —
- wacv-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a WACV campaign calendar across the two-round model, from track and round choice through the Round 1 submission, rebuttal, and Accept/Revise-and-Resubmit/Reject decision, into the Round 2 revision and decision, camera-ready, and the winter conference — with the branch points that a single-deadline plan misses.ProductivityNo warnings★ 1.4K↓ —
- chi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the studies behind an ACM CHI paper — matching evidence shape to contribution type, powering quantitative experiments, making qualitative work rigorous and auditable, reporting participants and ethics properly, and avoiding the ADR-Data and ADR-Method screening grounds.ScienceNo warnings★ 1.4K↓ —
- hri-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the human-subjects study at the heart of an ACM/IEEE HRI full paper — choosing between/within-subjects designs, running Wizard-of-Oz honestly, powering the sample, reporting statistics with effect sizes and qualitative rigor, selecting validated scales, adding manipulation checks, pre-registering, and meeting HRI's human-participants ethics obligations.ScienceNo warnings★ 1.4K↓ —
- dac-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering standard EDA benchmark suites (ISPD, EPFL, ISCAS/ITC, TAU, CircuitNet, OpenROAD flows), fair state-of-the-art baselines, QoR/PPA reporting with runtime, per-benchmark honesty, ablations that isolate the mechanism, and contamination-aware ML-for-EDA evaluation.DesignNo warnings★ 1.4K↓ —
- jama-scope-fitbrycewang-stanford/Awesome-Journal-SkillsUse when judging whether a clinical study clears JAMA's general-medical-importance bar before investing in a full submission. Assesses fit and article-type match; it does NOT design the study or write the paper.DesignNo warnings★ 1.4K↓ —
- cav-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing a CAV (Computer Aided Verification) empirical evaluation, covering standard benchmark sets (SV-COMP/SMT-COMP/HWMCC/VNN-COMP), fair baseline solvers with pinned versions and equal resource limits, timeout-dominated comparisons, soundness cross-checks and proof witnesses, cactus/scatter reporting, and matching evidence to the shape of each verification claim.OtherNo warnings★ 1.4K↓ —
- fse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ESEC/FSE empirical evaluations, covering real subject systems, fair baselines, SE-standard statistics and effect sizes, qualitative and mixed-methods rigor, contamination-aware LLM ablations, provenance for mining studies, and matching evidence to the shape of each software-engineering claim.OtherNo warnings★ 1.4K↓ —
- uai-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing UAI experiments where inference quality is the endpoint, covering calibration and coverage measurement, posterior diagnostics, structure-recovery metrics for causal and graphical models, seeded repeated runs, baselines from both sampling and optimization families, and mapping each claim to its evidence.OtherNo warnings★ 1.4K↓ —
- sci-framingbrycewang-stanford/Awesome-Journal-SkillsUse when locking the conceptual advance and the "why now" before drafting for Science (AAAS) — converts a correct result into a Science-shaped narrative that leads with the broad advance rather than the background, and seeds the title, abstract, and cover letter.ScienceNo warnings★ 1.4K↓ —
- aaai-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.LegalNo warnings★ 1.4K↓ —
- rss-experimentsbrycewang-stanford/Awesome-Journal-SkillsJournal-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 Claude Code/Codex 期刊技能包，从选题、识别策略到表格规范与审稿回复全流程，助你快速发论文。PlanningNo warnings★ 1.4K↓ —
- nejm-reportingbrycewang-stanford/Awesome-Journal-SkillsUse to select and enforce the correct EQUATOR reporting guideline for a clinical study headed to NEJM — CONSORT for RCTs (with the participant flow diagram), STROBE for observational, PRISMA for systematic reviews — and to build the required checklist and diagram before submission.ScienceNo warnings★ 1.4K↓ —
- sci-figuresbrycewang-stanford/Awesome-Journal-SkillsUse to finalize Science display items — panel/word budget, column-width sizing, minimum font sizes, color-accessibility, and showing the data (points over bars). Enforces figure rigor before submission.ScienceNo warnings★ 1.4K↓ —
- sci-writingbrycewang-stanford/Awesome-Journal-SkillsUse when choosing the Science (AAAS) format (Research Article vs Report) and holding its length and structure budgets — main-text word caps, figure caps, argument-ordered Results, and deciding what belongs in the main text versus Supplementary Materials.WritingNo warnings★ 1.4K↓ —
- aamas-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an AAMAS project timeline from venue fit through abstract, full-paper or extended-abstract upload, supplementary material, the double-blind rebuttal, decision, IFAAMAS camera-ready, registration, and presentation, with track-specific deadlines and backward-planning offsets for a game-theory-plus-experiments paper.ProductivityNo warnings★ 1.4K↓ —
- atc-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the shepherd's required revisions, permanentizing artifact links, completing ACM Open Access metadata and the transition APC, and passing production checks for the November Hong Kong proceedings.OtherNo warnings★ 1.4K↓ —
nsdi-experiments
brycewang-stanford/Awesome-Journal-Skills
DevOpsUpdated Sep 27, 2026
From the author
Use when designing or auditing the evaluation of an NSDI submission — choosing traces, testbeds, and deployment evidence, sizing scale and failure-injection experiments, picking baselines that fight back, and reporting tail behavior so networked-systems reviewers can see where the design wins, loses, and breaks.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nsdi-experiments -a claude-code
Installs to .claude/skills/nsdi-experiments/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
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