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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 6 ore
49.409 skill-uri
- ase-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in the 10-page ASE (IEEE/ACM Automated Software Engineering) paper body versus the artifact and supplementary material, splitting content by decision-criticality so nothing that decides acceptance lives outside the reviewed pages under the 10+2 budget.ȘtiințăFără 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↓ —
- my-energy-mapmohitagw15856/pm-claude-skillsMap your real energy through the day and week, then match your tasks to it — hard things when you're sharp, easy things when you're not. Use when asked when should I do my hard work, map my energy, why am I so unproductive at certain times, or schedule around my focus. Produces a picture of your energy peaks, troughs, and patterns from your own observations, a task-to-energy matching plan (deep work at peaks, admin at troughs), the traps you're currently falling into, and a realistic daily shape — because fighting your natural rhythm wastes your best hours on your worst tasks.PlanificareFără avertismente★ 1,5 K↓ —
- wacv-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a WACV submission before an OpenReview round deadline, covering the Round 1 vs Round 2 choice, the Applications vs Algorithms track field, the 8-page-including-figures limit, double-blind anonymity and OpenReview-profile requirements, the anonymized supplement, dual submission, and desk-reject triage.PlanificareFără avertismente★ 1,4 K↓ —
- okr-designrampstackco/claude-skillsOKR design as actually shipped, not as conference-talk theory. Outcome statements that drive decisions, key results that measure the right thing, scoring discipline, mid-quarter recalibration, and the difference between sandbagged OKRs (always 100%) and aspirational OKRs (always 30%) and stretch OKRs (genuine ambition with quarterly accountability). Triggers on OKR design, OKR setting, key result design, OKR scoring, mid-quarter recalibration, OKR cascading, outcomes vs outputs, quarterly planning, goal setting. Also triggers when a team's OKRs are always hit and producing no learning, when OKRs are demoralizing because they were set as fantasy, or when the team uses OKR vocabulary but the practice has decayed.DesignFără avertismente★ 1 K↓ —
- uai-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning a UAI submission within the probabilistic reasoning, graphical-model, causality, and Bayesian ML literature, covering PMLR archival status of recent UAI volumes, double-blind self-citation discipline, concurrent arXiv and workshop versions, and the cross-community citation coverage UAI reviewers check first.ȘtiințăFără 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- pods-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the analytical "evidence" of an ACM PODS paper — worst-case and average-case analyses, matching upper and lower bounds, dichotomy completeness, correct complexity assumptions, and the occasional empirical validation when a theory paper claims practicality — matching the rigor to the shape of each theoretical claim.ȘtiințăFără avertismente★ 1,4 K↓ —
- oma-brainstormNoufirst-fluke/oh-my-agentExplore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.PlanificareFără avertismente★ 1,4 K↓ —
- chi-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when interpreting the ACM CHI Papers review pipeline — 1AC and 2AC roles, the A/ARR/RR/RRX/X recommendation scale, desk-reject and rubric-based assisted desk-reject screening, the revise-and-resubmit threshold, round-2 PC decisions — and what each stage means for authors.InginerieFără avertismente★ 1,4 K↓ —
- corl-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template, appendix merged into one PDF, de-anonymization, external hosting for videos because PMLR accepts none, and the October deadline into the PMLR volume.DocumenteFără avertismente★ 1,4 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. This adapter registers no lifecycle or Stop hook, never requests continuation, and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —
- uist-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of a UIST paper — choosing among technical benchmarks, controlled comparisons, usability walkthroughs, expert sessions, and demonstration applications, matching evaluation shape to the systems claim, and avoiding the ritual study that proves nothing the paper asserts.ȘtiințăFără avertismente★ 1,4 K↓ —
- acl-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how an ACL paper travels through ACL Rolling Review and conference commitment, covering reviewer and area-chair roles, meta-reviews, the commitment decision by senior area chairs and program chairs, Findings versus main-conference outcomes, ethics review escalation, and resubmission strategy across cycles.InginerieFără avertismente★ 1,4 K↓ —
- ecai-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evidence in an ECAI paper — choosing proof versus experiment by claim shape across ECAI's breadth (theory/KR, planning/search, ML, multi-agent, applied), fair baselines, seeds and spread, honest ablations, and provenance, all supporting a claim inside a 7-page body.ȘtiințăFără avertismente★ 1,4 K↓ —
- vldb-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of a VLDB paper, covering workload and dataset realism at scale, competitor tuning fairness, scalability curves versus single points, tail-latency and throughput reporting, ablations that isolate the mechanism, and the loss-case disclosure PVLDB reviewers look for first.ȘtiințăFără avertismente★ 1,4 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- cav-review-processbrycewang-stanford/Awesome-Journal-SkillsUse when reasoning about how a CAV (Computer Aided Verification) submission is evaluated, covering the two-stage reviewing process (two reviews then an early-reject filter, then two more reviews with a rebuttal), the partial double-anonymity by category, the accept/reject outcome, the optional non-conditional artifact evaluation, and how CAV differs from TACAS and FMCAD.InginerieFără avertismente★ 1,4 K↓ —
- redis-coreredis/agent-skillsCore Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.OficialAlteleFără avertismente★ 172↓ —Apare și în 1 alt depozit
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
notebooklm
alirezarezvani/claude-skills
DocumenteActualizat acum 18 ore
De la autor
Use for anything in Google NotebookLM: querying notebooks, adding sources, generating Audio or Video Overviews, reports, flashcards or slides. Drives the browser; needs browser automation.
Instalare
npx skills add alirezarezvani/claude-skills --skill notebooklm -a claude-code
Se instalează în .claude/skills/notebooklm/ · 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
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție69
Fișiere (7)
- SKILL.md
- references/async_action_discipline.md
- references/browser_automation_canon.md
- references/studio_output_custom_prompts.md
- scripts/action_router.py
- scripts/async_action_classifier.py
- scripts/custom_prompt_template_generator.py