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.
49.105 skill-uri din 2.358 de depozite · actualizat acum 7 ore
48.055 de skill-uri
- cikm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a CIKM submission for EasyChair readiness across the five tracks, covering page budgets with appendices counted inside, the mandatory GenAI Usage Disclosure section, author-reviewer nomination, double-blind rules with arXiv declaration, the abstract-gate authorship freeze, and desk-reject triggers.ȘtiințăFără avertismente★ 1,4 K↓ —
- cav-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CAV (Computer Aided Verification) submission against the verification literature across CAV, TACAS, FMCAD, VMCAI, POPL/PLDI, and the journals (FMSD, JAR, TOCL, STTT), writing delta-first contrast rather than a citation catalog, crediting the right benchmark and tool lineages, keeping self-citations double-anonymous for the anonymized categories, and handling concurrent and prior-version overlap.RedactareFără avertismente★ 1,4 K↓ —
- cell-highlightsbrycewang-stanford/Awesome-Journal-SkillsUse to produce the three signature Cell front-matter artifacts — Highlights (3–4 bullets, each ≤85 characters), the eTOC/In Brief blurb (~50 words, third-person), and the Graphical Abstract (single-panel visual summary). Late-stage polish.ProductivitateFără avertismente★ 1,4 K↓ —
- eacl-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evidence for an EACL paper, covering tuned and LLM baselines, multilingual breadth matched to the claim, significance and variance floors, human-evaluation agreement, data-contamination controls, ablations, and error taxonomies, so that every stated result is measured rather than asserted.ȘtiințăFără avertismente★ 1,4 K↓ —
- dac-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or tightening the prose of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering the QoR-forward first-page arc, stating the design-automation contribution as a measured delta, fitting a complete argument into six double-column pages plus a references-only page, building column-width EDA figures, and third-person self-citation for double-blind review.RedactareFără avertismente★ 1,4 K↓ —
- cvpr-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental program of a CVPR paper, covering benchmark and baseline selection under matched-compute fairness, the ablation study reviewers treat as mandatory, qualitative and failure-case evidence, efficiency metrics tied to the Compute Reporting Form, and generalization tests beyond a single dataset.TestareFără avertismente★ 1,4 K↓ —
- ultralytics-platformfcakyon/claude-codex-settingsThis skill should be used when user asks to "upload my model to Ultralytics Platform", "push this run to the platform", "upload a dataset to platform", "download a dataset from platform", "search platform datasets", "start cloud training", "train on platform GPUs", "export a model on platform", "deploy a model endpoint", "run Moondream on Platform", "auto-annotate a Platform dataset", "run hosted AI inference", "why is my run not showing on platform", or mentions platform.ultralytics.com, ul:// URIs, ultralytics-platform, or ULTRALYTICS_API_KEY.DevOpsFără avertismente★ 1,2 K↓ —
- fse-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in an ESEC/FSE paper body versus its anonymized artifact and appendices, covering the ACM-template page budget, the rule that decision-critical evidence stays inside the reviewed pages, double-anonymous supplementary material, and how to split an empirical-SE paper between body and package.ȘtiințăFără avertismente★ 1,4 K↓ —
- hri-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when planning the supplementary materials for an ACM/IEEE HRI full paper — above all the video figure that shows the embodied interaction, plus study instruments, extended results, and appendices — deciding what a reviewer must see to judge the interaction versus what belongs outside the 8-page body, all anonymized for double-blind review.MediaFără avertismente★ 1,4 K↓ —
- hpca-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。PlanificareFără avertismente★ 1,4 K↓ —
- focs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding whether and how computation appears in a FOCS (IEEE Symposium on Foundations of Computer Science) paper — a venue that accepts on theorems with no evaluation section expected — covering machine-verified case analyses, computer-discovered constructions, and honest illustrative plots.MediaFără avertismente★ 1,4 K↓ —
- tawk-supportNoufcakyon/claude-codex-settingsThis skill should be used when the user asks to "add Tawk support chat", "identify chat visitors", "theme a support widget", or "set up a Tawk knowledge base". Reuse signed account identification, product-specific knowledge and website styling without sharing credentials or private app content.PlanificareFără avertismente★ 1,2 K↓ —
- icra-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the experimental section of an ICRA paper — real-robot versus simulation-only evidence, trial counts and success-rate reporting, task distributions and resets, baseline fairness on shared hardware, sim-to-real transfer claims, failure-mode analysis, and the statistics robotics reviewers actually expect.ȘtiințăFără avertismente★ 1,4 K↓ —
- icdm-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the empirical evaluation for an ICDM (IEEE International Conference on Data Mining) paper - mining-task definition, strong and fairly-tuned baselines, ablations that isolate the named mechanism, scalability curves that test scale claims, and discovery-validity checks that separate real findings from evaluation artifacts.TestareFără avertismente★ 1,4 K↓ —
- icse-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ICSE research-track paper, covering subject and benchmark selection, baseline fairness, statistical tests and effect sizes as SE reviewers expect them, qualitative-methods rigor, ablations for AI-based techniques, and threats-driven study design.TestareFără avertismente★ 1,4 K↓ —
- imc-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when drafting or revising the prose of an ACM IMC measurement paper, covering the first-page measurement finding, making vantage points and methodology auditable, longitudinal framing for a moving Internet, arguing limitations rather than reciting them, writing the Ethics section early, and acmart page-budget discipline.RedactareFără avertismente★ 1,4 K↓ —
- email-designNoufcakyon/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↓ —
- lancet-writingbrycewang-stanford/Awesome-Journal-SkillsUse to structure and hold the length of a Lancet Article main text — Introduction, Methods, Results, Discussion (~3000–3500 words), the Research in context panel, a limited reference list (~30), and a cautious, globally minded Discussion that does not overstate.RedactareFără avertismente★ 1,4 K↓ —
- ipsn-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IPSN-lineage evaluations, covering real testbeds and deployments, ground-truth instrumentation, energy/latency/footprint measurement on real hardware, on-device/TinyML profiling, estimation-theoretic baselines and bounds, and matching evidence to the shape of each sensing claim across the IP and SPOTS tracks.DevOpsFără avertismente★ 1,4 K↓ —
- kdd-writing-stylebrycewang-stanford/Awesome-Journal-SkillsUse when revising a KDD paper into the venue's register, where the first page names a data regime, a mechanism, and scale evidence, efficiency adjectives trace to design decisions, and two-column sigconf pages punish sprawl. Covers Research vs ADS voice, dataset-size discipline, assertive contribution bullets, and 8-page compression.RedactareFără avertismente★ 1,4 K↓ —
- colm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a COLM paper inside the fastest-moving literature in ML — triaging arXiv-heavy citations, handling concurrent work fairly, citing model and dataset artifacts correctly, distinguishing COLM's three-edition archive from adjacent venues' archives, and keeping self-citation double-blind safe.ȘtiințăFără avertismente★ 1,4 K↓ —
- colm-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting a COLM acceptance into the final paper — the August 7 camera-ready deadline in 2026, de-anonymization and the one-page acknowledgments allowance, folding rebuttal commitments into the text, publishing on OpenReview, releasing artifacts publicly, and planning the October conference in San Francisco.ȘtiințăFără avertismente★ 1,4 K↓ —
- cikm-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.ȘtiințăFără avertismente★ 1,4 K↓ —
- colt-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted COLT (Conference on Learning Theory) paper into its PMLR proceedings version, covering de-anonymization, acknowledgements and funding restoration, appendix consolidation into the archival PDF, PMLR volume metadata and BibTeX hygiene, rebuttal-promised edits, and presentation logistics.DocumenteFără avertismente★ 1,4 K↓ —
ai-code-review
mohitagw15856/pm-claude-skills
InginerieActualizat acum 13 ore
De la autor
Review AI-authored code for its characteristic failure modes — plausible-but-wrong logic, hallucinated APIs, over-engineering, dead scaffolding, and silent security shortcuts. Use when reviewing an AI-generated or heavily AI-assisted PR, when AI-written code keeps shipping subtle bugs, or when setting review standards for a team using coding agents. Produces a focused review with AI-specific findings, verification steps per risk class, and a team checklist for AI-authored changes. For general PR review use code-review-checklist — this skill covers what that one assumes a human wouldn't do.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill ai-code-review -a claude-code
Se instalează în .claude/skills/ai-code-review/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
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De ce 88
Securitate100
Proveniență78
Întreținere100
Licență100
Adopție51
Fișiere (1)
- SKILL.md