Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 18 ore
49.492 de skill-uri
- iclr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing ICLR experiments, including baselines, ablations, scaling laws, robustness, statistics, benchmarks, human evaluation, and compute reporting. Use when a reviewer questions whether a representation-learning or model gain is real, when you must isolate one mechanism with an ablation, or when preparing a small compute-matched control that can be posted inline during the public discussion period.AlteleFără avertismente★ 1,4 K↓ —
- cav-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact, covering the LNCS page limits, the rule that reviewers are not obliged to read the appendix so decision-critical content stays in the body, where full proofs and benchmark tables live, and double-anonymous supplementary material for the anonymized categories.ȘtiințăFără avertismente★ 1,4 K↓ —
- cscw-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical work behind a CSCW paper — interview and ethnographic rigor, trace and log analysis, surveys, deployments, and mixed methods — matching each method's own validity standard and the ethics of studying real communities.DevOpsFără avertismente★ 1,4 K↓ —
- ndss-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an NDSS paper — attack demonstrations, defense evaluations under adaptive adversaries, and Internet measurements — choosing between testbed, emulation, and live experiments and meeting NDSS's deployment-realism evidence bar.DevOpsFără avertismente★ 1,4 K↓ —
- edbt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing EDBT empirical evaluations for database-systems work, covering real workloads and datasets, fair and tuned baselines, honest measurement across realistic scales, reproducible harnesses, and the higher bar of the Experiments & Analysis paper where the measurement itself is the contribution.DateFără avertismente★ 1,4 K↓ —
- email-designfcakyon/claude-codex-settingsThis skill should be used when user asks to "design app emails", "theme transactional emails", "fix verification emails", "build email templates", or "review password reset emails". Match an app’s brand and reuse its delivery pipeline across account, billing and notification emails.DesignFără avertismente★ 1,2 K↓ —
- soda-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.ȘtiințăFără avertismente★ 1,4 K↓ —
- uai-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a UAI manuscript for probabilistic-inference readers, enforcing precise notation for distributions, graphs, and interventions, explicit assumption and identifiability statements, an 8-page main part that carries the whole argument while proofs sit in the appendix, and claims calibrated to what the theory and experiments show.RedactareFără avertismente★ 1,4 K↓ —
- osdi-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an OSDI submission — choosing mature baselines and realistic workloads, structuring the section around research questions, measuring scalability and tail behavior, quantifying the design's costs, and fitting the evidence into the 12-page reviewed body.DesignFără avertismente★ 1,4 K↓ —
- eccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of an ECCV paper — benchmark selection that survives a September conference, matched-substrate baseline fairness in the foundation-model era, ablations that isolate the claimed mechanism, qualitative failure evidence, and run sequencing toward a March freeze.ȘtiințăFără avertismente★ 1,4 K↓ —
- hri-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising an ACM/IEEE HRI full paper's structure and prose for an interdisciplinary audience — leading with the human-robot contribution and research questions, making hypotheses and measures explicit, describing the robot embodiment, keeping claims proportional to the study within the 8-page acmart budget, and writing so the chosen track's contribution type is unmistakable.RedactareFără avertismente★ 1,4 K↓ —
- iccv-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing the experimental program for an ICCV paper against the early-March deadline, covering benchmark-drift audits across the two-year gap, baseline fairness in the foundation-model era, ablations that isolate mechanisms, qualitative and failure evidence, and sequencing runs so the decisive result lands before the deadline, not after.ȘtiințăFără avertismente★ 1,4 K↓ —
- corl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing experiments for a CoRL robot-learning paper — seeds and evaluation-episode counts, task-suite breadth, real-robot versus simulation evidence, sim-to-real gap measurement, baseline fairness across BC/RL/VLA families, generalization splits, and statistics for success-rate claims.ȘtiințăFără avertismente★ 1,4 K↓ —
- icdt-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ICDT (International Conference on Database Theory) result — matching-bound complexity analysis as the primary evidence, worked examples and counterexamples that establish separations, and, only for papers with an algorithmic contribution, a proportional and honestly-scoped experimental evaluation that does not pretend to be the contribution.DateFără avertismente★ 1,4 K↓ —
- iros-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IROS experiments — real-robot trial counts, success criteria set in advance, reset procedures, failure taxonomies, baseline fairness on matched hardware, sim-to-real gap reporting, small-n statistics, and the claim-to-evidence ladder that embodied-systems reviewers apply before they trust a demo.AlteleFără avertismente★ 1,4 K↓ —
- podc-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when building the evidence for an ACM PODC paper — where "evidence" is a proof, not a benchmark. Covers matching upper and lower bounds, tightness arguments, model and assumption stress-tests, adversary-strength calibration, and the honest, clearly-optional role of any simulation in a distributed-computing-theory paper.TestareFără avertismente★ 1,4 K↓ —
- durable-objectsfcakyon/claude-codex-settingsBuild, debug, or review Cloudflare Durable Objects code for persistent state and coordination.DevOpsFără avertismente★ 1,2 K↓ —
- cloudflare-onefcakyon/claude-codex-settingsDesign, configure, troubleshoot, or review Cloudflare One Zero Trust and SASE deployments. Use cloudflare-one-migrations for migration planning from other vendors.DevOpsFără avertismente★ 1,2 K↓ —
- icml-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when stress-testing ICML experimental evidence before submission or rebuttal, including strong tuned baselines, mechanism-isolating ablations, seed variance and confidence intervals, compute disclosure, data leakage and split construction, reproducibility, negative results, and fit to ICML soundness, originality, and significance scoring.TestareFără avertismente★ 1,4 K↓ —
- dac-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs inside the six reviewed pages of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript versus in an external repository, given DAC's tight 6+1 budget, its references-only seventh page, the double-blind constraint on any linked material, and the absence of a formal reviewed-appendix or artifact-badging track.DesignFără avertismente★ 1,4 K↓ —
- clean-gone-branchesfcakyon/claude-codex-settingsThis skill should be used when user asks to "clean gone branches", "remove deleted local branches", "prune branches removed from remote", or explicitly invokes "clean-gone-branches".AlteleFără avertismente★ 1,2 K↓ —
- isca-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ISCA paper — pinning simulator fidelity to the claims it must carry, documenting gem5-class configurations and sampling choices, selecting workload suites that represent the claim's domain, tuning baselines in good faith, and separating architectural effect from modeling artifact.ȘtiințăFără avertismente★ 1,4 K↓ —
- uai-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a UAI paper between the 8-page main part, the unlimited in-PDF appendix for proofs and protocols, and the optional 50 MB supplementary ZIP, deciding what reviewers must see in the body versus what may sit in material they are not required to read, all under double-blind and single-file constraints.DocumenteFără avertismente★ 1,4 K↓ —
- kdd-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a KDD paper across its 8 content pages, the optional appendix after the references, and the cited repository, under the camera-ready rule capping references plus appendix at 3 of 12 pages. Covers appendix triage, reviewer-discretion reality, and the one-page cross-cycle resubmission change summary.ȘtiințăFără avertismente★ 1,4 K↓ —
ase-related-work
brycewang-stanford/Awesome-Journal-Skills
De la autor
Use when writing the related-work and positioning of an ASE (IEEE/ACM Automated Software Engineering) paper, covering the automated-SE literature lanes, delta-first positioning against prior tools/techniques, fair head-to-head framing, and double-anonymous self-citation.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ase-related-work -a claude-code
Se instalează în .claude/skills/ase-related-work/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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